Zuckerberg Targets Apple Architecture in Next-Gen Platform War

Acquired LIVE from Chase Center (with Daniel Ek, Emily Chang, Jensen Huang and Mark Zuckerberg) — Acquired

Acquired

Meta is doubling down on open-source AI and hardware infrastructure to bypass rival mobile ecosystem taxes and permanently secure product independence.

AI-assisted summary of Acquired LIVE from Chase Center (with Daniel Ek, Emily Chang, Jensen Huang and Mark Zuckerberg) — original source. Check the original for full context.

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## Background Published on YouTube by the channel Acquired on September 30, 2024, this video captures a massive, sold-out live event at the Chase Center in San Francisco. The page description highlights it as a celebration of the podcast's nine-year journey, styled like a wedding for 6,000 fans, and featuring an extraordinary guest lineup that includes Jamie Dimon, Daniel Ek, Emily Chang, Jensen Huang, and Mark Zuckerberg.

## TL;DR The live event serves as a high-octane exploration of tech history, business strategy, and the evolution of massive platforms. In the first act, Spotify CEO Daniel Ek joins the hosts to discuss the podcasting medium's expansion, his company's organic product growth, and his long-standing relationship with Meta. The second act features Bloomberg's Emily Chang putting the hosts through a 'speedrun' of the Acquired canon, re-evaluating and upgrading past company grades for tech giants like YouTube, LinkedIn, and SpaceX. Finally, Meta CEO Mark Zuckerberg takes the stage for an extensive breakdown of his entrepreneurial philosophy, overcoming existential platform challenges, the strategic pivot into open-source AI and smart glasses, and his long-term vision for Reality Labs.

## Atmosphere & style The atmosphere is electric, celebratory, and deeply collaborative, carrying the immense energy of a packed 6,000-person arena while maintaining the intimate, analytical rapport of a backyard tech conversation. It opens with an undercurrent of high-stakes backstage anticipation that dissolves into a collective celebration of the Silicon Valley spirit. The hosts display a self-deprecating yet highly professional dynamic, shifting smoothly from humorous behind-the-scenes vulnerability to deep-dive strategic sparring. When tech luminaries like Ek and Zuckerberg share the stage, the mood balances high-level executive gravitas with candid, vulnerable reflections on the 'suffering' and resilience required to build generational companies.

## Key takeaways - [02:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=120s) Acquired's live show at the Chase Center in San Francisco drew an audience of 6,000 fans, highlighting the massive organic growth of the podcast since 2015 via word-of-mouth compounding. - [09:26](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=566s) Spotify founder Daniel Ek joined as a surprise guest, revealing that users have consumed over 5 million hours of Acquired content on Spotify alone, tripling year-over-year. - [16:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=960s) The evolution of the podcast medium has drastically expanded its total addressable market, driven heavily by wireless headphones acting as a macro tailwind for long-form listening. - [19:32](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1172s) Daniel Ek noted the rapid rise of video podcasts on Spotify, fueled by younger demographics seeking autonomy and a closer connection to content creators. - [22:19](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1339s) Spotify and Facebook established deep social roots in 2008–2009 when an integration into the Facebook News Feed drove viral growth and structural social features for Spotify. - [29:14](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1754s) Spotify's internal culture prioritizes deliberate game-theorizing and debate ('talk is cheap') before coding because music licensing regulations make standard 'failing fast' too costly. - [46:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2768s) The hosts upgraded their historical grade of Google's acquisition of YouTube to an A+, acknowledging they originally underestimated AI-driven feed recommendation models and creator monetization dynamics. - [52:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3128s) Microsoft's acquisition of LinkedIn has quietly compounded into a massive success, with revenue growing fivefold over eight years to over $16 billion. - [55:50](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3350s) SpaceX's Starlink has achieved significant scale, tracking toward $6.5 billion in revenue for 2024 and operating roughly two-thirds of all active satellites currently orbiting Earth. - [01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) NVIDIA CEO Jensen Huang clarified his viral comments on entrepreneurship, stating he would start the company again but emphasizing that a certain level of ignorance is a necessary superpower to endure early startup hardships. - [01:13:58](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4438s) Mark Zuckerberg discussed the volatility of early startups, noting that true values and resilience are forged through 'Pathos Mathos' (learning through suffering). - [01:23:56](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5036s) Meta's smart glasses strategy pivoted rapidly following a weekend phone call by Zuckerberg to integrate Meta AI directly onto the device, making AI its flagship feature. - [01:26:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5211s) Zuckerberg attributes Meta's structural resilience across nine waves of existential competition to its explicit focus as a technology and systems engineering company, rather than just a single app. - [01:32:41](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5561s) Meta values shipping early hypotheses over receiving immediate public praise, prioritizing the real-world user data and rapid learning loops gained from early releases. - [01:40:21](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6021s) Meta leverages open-source strategies, such as the Open Compute Project and Llama AI architecture, to drive industry standards and secure platform independence from rival operating systems. - [01:52:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6720s) Zuckerberg protects Meta's long-term product vision and massive investments (like Reality Labs) through a dual-class share structure with super-voting shares, a system designed after a near-firing during a 2006 Yahoo buyout offer. - [02:08:27](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7707s) A philosophical shift is underway at Meta to transition from building merely 'good' or useful products to inspiring and 'awesome' products over the next 15 years. - [02:11:35](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7895s) Zuckerberg firmly rejected suggestions to rebrand Meta as a way to escape political controversy, stating that the rebrand to 'Meta' was an intentional decision to run toward a positive future vision. - [02:16:17](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8177s) Zuckerberg frames the next 10 to 15 years as an ideological platform battle against Apple, contrasting Apple's closed integrated ecosystem with Meta's push to build next-generation open platforms using Llama and smart glasses.

## Detailed walkthrough ### [00:02](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2s) The Missing Thumb Drive and a Live Venue Entrance

The episode opens with backstage banter and a last-minute panic as Ben Gilbert asks David Rosenthal if he brought a thumb drive containing the "Who Got the Truth" MP3 file for the venue's sound crew. David responds incredulously, wondering why he would bring a thumb drive when he emailed the file roughly three weeks prior. Ben underscores the gravity of the situation by reminding him that a crowd of 6,000 people is waiting outside to hear it, but David remains confident that the production team will figure out a solution.

The scene transitions into the show's theme music, "Who Got the Truth," playing loudly as the lights come up. The announcer introduces Ben Gilbert and David Rosenthal to the stage as the creators of the *Acquired* podcast, prompting massive applause from the crowd at the Chase Center in San Francisco. Standing before the audience, the hosts celebrate the fact that they did not actually need the thumb drive after all.

- Venue: Chase Center, San Francisco - Audience Size: 6,000 people - Opening Song: "Who Got the Truth"

[00:21](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=21s) A Surprise Welcome from Jamie Dimon

After welcoming the crowd to *Acquired Live*, Ben and David introduce a special surprise guest to officially kick off the night: Jamie Dimon, the Chairman and CEO of JPMorgan Chase. Dimon appears via a pre-recorded video message to welcome the listeners to the Chase Center, which he notes is one of his favorite arenas. He highlights the year-long partnership between JPMorgan Payments and *Acquired*, praising the show's storytelling and educational value regarding the world's greatest companies. He expresses his regrets for not being able to attend in person before handing the stage back to the hosts.

Ben and David offer a massive thank you to JPMorgan and their payments team, specifically calling out Dustin Sedgwick, the CMO of JPMorgan Payments. They describe Sedgwick as a longtime listener who acted as the primary driving force behind the event. They also thank his marketing team, specifically naming Hannah, Nick, Vinnie, Amy, and Carli, joking that for the first time, they understand what it feels like to have a fully built-out corporate team rather than just "two guys in their basement."

[00:40](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=40s) Show Format and "How the Sausage is Made"

Ben lays out the structure for the evening, revealing that the live show will feature three acts instead of one, with Meta CEO Mark Zuckerberg appearing as the headline guest in the third act following an intermission. To answer the frequent listener question of what gets cut during their typical nine-hour recording sessions, David and Ben share a humorous behind-the-scenes blooper reel.

The montage exposes the raw, unedited reality of their production process, featuring complaints about a lack of oxygen and overheating after five and a half hours of recording, pausing for bathroom breaks, pouring champagne, and getting interrupted by the screaming engines of the Blue Angels overhead. The clip highlights their internal debates over pacing, fixing historical timeline errors, debating whether to completely restart a recording 40 minutes in, and a continuous loop of filler words like "um," "uh," and "totally." David jokes, "That is how the sausage is made," noting that their editor, Steven, has to deal with that chaos every single month.

- Event Structure: Three distinct acts with a built-in intermission - Headliner: Mark Zuckerberg (scheduled for Act III) - Typical Recording Length: 9 hours of raw audio edited down to 3–5 hours

[00:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8s) A Celebration of the Bay Area and Daniel Ek Takes the Stage

David explains that for this live event, they are throwing the traditional *Acquired* playbook out the window. Instead of analyzing the distant past, the night is designed as a party and a celebration of technology, the San Francisco Bay Area, and the listeners themselves. Ben notes that they have lived a lifetime of milestones over the past year—both hosts had children, they were profiled by *The Wall Street Journal*, and the show experienced explosive growth. To discuss this "State of the Union," they introduce a surprise guest who is both a major fan of the show and a global expert on podcasting: Daniel Ek, the founder and CEO of Spotify.

Daniel Ek walks out to a roaring crowd, joking that the arena is a "little kind of an echoey studio" and poking fun at the hosts for finally executing a video format after he spent years begging them to do so. Ek reflects on his own journey as a fan of the show, noting that he started listening in 2019 and is amazed to see how they scaled from a small base to an arena-sized audience in just five years.

- Guest: Daniel Ek, Founder & CEO of Spotify - Daniel Ek's Listening History: Fan of *Acquired* since 2019

[12:02](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=722s) Analyzing the Global Growth Metrics of Acquired

Daniel Ek presents a series of growth charts to celebrate the show's achievements. Ben explains that the podcast has relied entirely on organic, year-over-year word-of-mouth compounding since 2015, without a single dollar spent on paid marketing. Ek reveals that on Spotify alone, users have consumed over 5 million hours of *Acquired* content, a metric that tripled over the previous year. Ben jokes that his math puts this total at over 400 years of collective listening time, humorously adding, "We feel like it was 400 years making the episodes."

The discussion shifts to audience loyalty, with Ek pointing out that the show added over 250,000 followers on Spotify in the last year alone. Ben, a self-described "reformed venture capitalist," points out a sharp, unprecedented kink in their subscriber chart corresponding directly to *The Wall Street Journal* article published in May. Ek also underscores the international footprint of the show, highlighting explosive, non-English-speaking growth metrics across global markets.

- Total Listening Time on Spotify: Over 5 million hours (tripled year-over-year) - Subscriber Growth: Added more than 250,000 followers on Spotify - Global Growth Hotspots: Mexico (5x growth), Hong Kong, Israel, and Singapore

[16:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=960s) The Evolution of the Podcast Medium and Expanding the TAM

Ek pivots the conversation to ask how this level of scale was possible, contextualizing it with Spotify's own data: in 2019, Spotify had only a few million podcast listeners, a figure that has since grown to over 150 million. David admits that when they started, they conceptualized their Total Addressable Market (TAM) through a narrow venture lens, assuming their audience was capped at the world's population of business school students, or roughly one million people. However, they realized that because they focus on deep, human storytelling, the appeal is universal. Ben attributes their success to a massive macro tailwind, noting that the proliferation of wireless headphones created a modern cultural norm where people are completely comfortable spending hours listening to esoteric, deeply researched topics.

Ek uses the moment to push the hosts to bring the show's video format onto Spotify. Ben states that he believes their current TAM is at least 10 times larger than their current audience size, even if they keep the exact same product and stick to their disciplined schedule of shipping one episode per month. Ben then turns the tables on Ek, asking how founders should navigate expanding beyond their core competency without losing what made them successful in the first place, reminding him that Spotify's original vision "was you were music on Facebook." Ek responds that expansion must always start with a deep understanding of your audience, using Germany as a case study where record labels organically hacked Spotify by uploading audiobooks long before the platform formally launched a dedicated audiobook service.

[19:32](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1172s) The Audio Tapestry and the Push for Video

The evolution of Acquired's format mirrors a broader trend toward expanding adjacent content, beginning with simple podcast uploads, expanding into audiobooks, and now facing the frontier of video. Ben and David discuss their long-held belief that "nobody wants to sit and watch us in our Studios as Talking Heads going yak yak yak." However, they have recently begun to question whether visually rich subjects—such as their massive four-hour audio history of Hermes—deserve an equally compelling visual tapestry. Despite the potential, David admits he will likely resist the transition to video "kicking and screaming," strongly believing that Acquired's high-caliber, busy audience values the format precisely because it doesn't demand undivided attention. Audio allows listeners to multitask, whether they are running, driving, or mowing the lawn.

Daniel Ek offers a contrasting perspective, noting that the rapid growth of video on platforms like Spotify has been one of his biggest surprises. While older generations might question the format, younger consumers do not differentiate between audio and video; they simply want to feel a "closer presence to the person" they are listening to. The audience’s connection to the creators is already evident in things like the popularity of blooper reels and high live event attendance. Ek emphasizes that incorporating video isn't necessarily about forcing someone to watch a full four-hour block, but about offering consumers the autonomy to dive in and out of specific segments, giving both creators and consumers novel ways to directly interact.

- **Podcast Adjacencies:** Content expansion often starts with user suggestions or organic behavior, leading from podcasts to audiobooks. - **The Hermes Example:** Acquired spent 4 hours on the multi-hundred-year history of Hermes purely in an audio format. - **Spotify Ecosystem:** Spotify is currently experiencing massive growth in video consumption, particularly driven by younger demographics.

---

[22:19](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1339s) Striking a Friendship: The Social Roots of Spotify and Facebook

Teasing their next regular episode—which will focus on a "Menlo Park based technology company"—Ben draws a parallel between holding onto a vision too tightly and the early days of Spotify's distribution through Facebook. Ek recounts the little-told backstory of his relationship with Mark Zuckerberg, revealing that pre-Facebook, Zuckerberg had actually tried to launch a music startup himself before realizing how difficult the industry was. This shared passion for music brought them together after Ek was introduced to Zuckerberg through Sean Parker in either 2008 or 2009. At the time, Spotify was not yet live in the United States, and Zuckerberg was living in a very small house where they initially jammed on social music concepts over a backyard barbecue.

To build anticipation before the US launch, Spotify used a highly strategic "secret club" approach to growth. They seeded single accounts to influencers one at a time, allowing Sean Parker to use invites as a form of high-value social currency. The inflection point arrived when Zuckerberg posted a status update stating "Spotify is so good," which triggered a wave of FOMO as users clamored for access. This early collaboration culminated in a product launch aligned with the Spotify US release, integrating directly into a very young Facebook News Feed. Users scrolling through their feeds could see real-time updates of what their friends were listening to, piped directly from Spotify.

- **Strategic Introductions:** Sean Parker introduced Daniel Ek to Mark Zuckerberg in 2008 or 2009. - **The Invite Economy:** Spotify invites served as an exclusive social currency for years prior to the official US launch. - **Legacy Features:** The real-time friend listening sidebar on Spotify desktop is a 13-year-old legacy feature born from this early Facebook integration.

---

[27:18](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1638s) Redefining Social Listening and the Pandemic Catalyst

While the explicit broadcast of every friend's listening habits eventually faded from Facebook's core layout—mirroring a broader industry shift away from presence-based social features that also impacted gaming eras like Farmville—Ek maintains that music is inherently social. He addresses David's observation that modern users think of Spotify as a utility for music, podcasts, and audiobooks rather than a social network. Ek explains that the initial product hypothesis was slightly off: people do not necessarily want to passively spy on *all* of their friends' listening habits. Instead, they want to actively collaborate on shared listening experiences.

This realization birthed "Jam," a product allowing groups of friends to synchronously alter and queue music together. The concept originated during the COVID-19 pandemic as a tool for isolated individuals to maintain a sense of connection through synchronized music, acting like "the best of linear TV brought to music." The feature has experienced rapid global growth, shifting from a pandemic lifeline to a mainstay feature at live parties, replacing the old, cumbersome practice of passing around a single physical phone to change tracks.

- **Farmville Metric:** At the time of its IPO, north of 10% of Facebook's revenue was derived from Zynga (the creators of Farmville). - **The "Jam" Feature:** A rapid-growth collaborative feature allowing real-time, shared queue control regardless of whether users are physically together or remote.

---

[29:14](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1754s) Learning from Zuckerberg and the "Talk is Cheap" Culture

Reflecting on his 15-year relationship with Zuckerberg as fellow founders in the trenches, Ek identifies Zuckerberg as "the best learner I've ever seen." He describes Zuckerberg's uncanny ability to enter a conversation knowing very little about a complex topic and emerge by the next meeting knowing more than most experts due to his relentless tenacity and curiosity. Ek has also adapted structural lessons from Meta, specifically noting Zuckerberg's mastery of large-scale meetings. While Ek prefers small intimate gatherings, Zuckerberg routinely runs highly productive product reviews with 15 to 20 people in the room, ensuring everyone feels heard.

When Ben describes Ek as a "softspoken" but "fierce competitor" who carefully calculates the chessboard much like Zuckerberg, Ek shares his personal boundary: "The rule I have with Mark is I don't try to go into a competition with them because I know it'll end badly for both of us." He jokingly cites Zuckerberg's intense physical drive, noting that Zuckerberg famously tore his ACL in a sport rather than giving up.

This hyper-deliberate competitive style defines Spotify’s internal culture. Alongside Product Officer and CTO Gustav, Ek champions the phrase "talk is cheap" in an inverted, virtuous way. While Silicon Valley values moving fast and breaking things, Spotify spends an immense amount of time debating, game-theorizing, and over-communicating before writing a single line of code. Because Spotify operates in a heavily regulated licensing ecosystem where a single minor product change can require one to two years of industry negotiation, they cannot afford to fail fast. They must be entirely certain they are right before they execute.

- **Meeting Dynamics:** Mark Zuckerberg routinely runs efficient, collaborative product reviews with 15-20 attendees. - **Spotify's Cultural Mantra:** "Talk is cheap"—meaning it is far less expensive to thoroughly debate and game-theorize an idea than it is to build the wrong product. - **The Anti-Fail-Fast Model:** Spotify intentionally positions itself as a deliberate, highly methodical operator rather than the fastest ship-and-iterate company.

---

[34:52](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2092s) The Swift Ascent to Podcast Market Leadership

Despite their highly methodical, slow-and-steady approach, Spotify's entry into the podcasting market in 2019 resulted in an incredibly rapid ascent to global dominance. When asked exactly when Spotify became the market leader, Ek notes that while it varied by region, the platform captured a significant number of markets across 2020 and 2021, cementing its status as the global market leader by 2022—just three years after launch.

This explosive growth came from a highly contrarian bet. At the time of their launch, conventional industry wisdom dictated that consumers required completely siloed, standalone applications for different media formats. Spotify rejected this fragmentation, viewing both formats simply as "listening." By leveraging an established user base that has grown from several hundred million to "way north of half a billion people" today, Spotify successfully cross-recommended premium podcast content directly to their existing music listeners.

- **Launch Timeline:** Spotify entered the podcasting space in 2019 and achieved global market leadership by 2022. - **User Base Scale:** Spotify's active user base currently sits well over 500 million (half a billion) people. - **The Core Thesis:** Disrupted the industry by consolidating music and podcasts into a single streaming ecosystem rather than maintaining separate apps.

[36:37](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2197s) Spotify's Organic Product Growth and "Terrible Experiences"

The conversation highlights Spotify’s methodical expansion into new mediums, including its rollout of audiobooks a year prior to increase user listening time. Striking a balance between expansion and core product integrity is critical; as the speakers note, pushing unwanted content into an established listening channel can easily "blow up your core." The platform's success relies entirely on users being genuinely open to utilizing it for a "new job."

Remarkably, the host and Daniel reflect on how deliberate, top-down strategy initiatives at Spotify often fail. Instead, the real breakthroughs emerge organically from existing behaviors already happening on the platform. Germany serves as a fascinating early indicator for both podcasting and books. Around 2018, books began climbing Spotify's top music track charts in Germany, making the company the biggest book distributor in the country completely by accident.

> "When your product is being used in spite of it actually being a pretty terrible experience, you kind of know you've got something."

This accidental success served as the exact genesis for building out a dedicated audiobook product ecosystem. As Daniel signs off, expressing his excitement to watch the rest of the night, the hosts pivot to the next portion of the event.

---

[38:40](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2320s) Sponsor Spotlight: Stat Sig and the Facebook Engineering Culture

The hosts introduce Stat Sig, a product acceleration platform used by thousands of companies ranging from OpenAI to early-stage startups. Stat Sig’s founding story is deeply intertwined with Facebook's historical engineering culture, famously summarized by Mark Zuckerberg's catchphrase, "move fast and break things."

Despite this aggressive mandate, Facebook rarely suffered catastrophic breaks because the company invested hundreds of thousands of engineering hours into robust internal tooling. These proprietary tools allowed any engineer to independently deploy features and track metrics in real time. If a metric tanked, the guardrails allowed them to roll back the changes instantly.

* **The Stat Sig Solution:** Founded by an ex-Meta team, Stat Sig productized this internal capability for the broader tech ecosystem. * **All-in-One Platform:** The tool integrates feature flags, product analytics, experimentation, and observability into a single platform. * **Major Clients:** Enterprise users include Microsoft, Notion, Anthropic, Figma, and OpenAI.

---

[40:34](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2434s) Sponsor Spotlight: Cruso and the Physical Infrastructure of AI

The discussion turns to Cruso, a climate-aligned AI infrastructure provider that operates GPU data centers powered by clean, low-cost "stranded energy" that would otherwise be wasted or emitted as greenhouse gases. What started a year prior as an "insane concept" has evolved into an AI cloud infrastructure that rivals the major hyperscalers, attracting some of the largest companies in the world.

The hosts emphasize that while AI is often conceptualized as phds tinkering with model weights, there is a massive industrial side involving cooling, construction, steel, and pipes. Cruso deploys hundreds of construction workers, steelworkers, and electricians to build data centers in some of the harshest environments on Earth.

* **Power Pipeline:** Cruso has gigawatts of power in its development pipeline—equivalent to nuclear reactor capacities. * **The AI Bottleneck:** The primary constraint on current AI progress is no longer compute capacity, but raw energy availability. * **Dual Engagement Models:** Customers can access Cruso through a managed AI Cloud (ideal for startups) or directly as an enterprise data center customer.

---

[43:07](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2587s) Act Two: Speedrunning the Acquired Canon with Emily Chang

Moving into "Act Two" of the evening, the hosts detail their planning process. Rather than asking the audience what they wanted to hear, they scanned their inbox. The second most frequent type of email received reads: "you did this episode, you were wrong, you need to fix it." To address these historical missteps and update the Acquired canon, they invite Emily Chang, host of Bloomberg's *The Circuit*, onto the stage.

Before diving into the business critiques, the hosts grill Emily for research regarding Mark Zuckerberg's viral 4th of July wake-surfing video, where he famously wears a completely dry tuxedo while holding an American flag and drinking a beer. Ben notes that whenever he tries to wake surf, he has to start submerged in the water, which would instantly ruin a suit.

Emily confirms that the feat is entirely real, explaining that Zuckerberg is skilled enough to perform a "dry start"—riding the board directly off the swim platform of the moving boat without ever falling into the water. She adds that both Mark and Priscilla can genuinely "shred."

---

[46:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2768s) Revisiting the YouTube Acquisition Grade

Emily wastes no time "twisting the knife" on the hosts' past grading mistakes, taking them back to 2016 when they covered Google's acquisition of YouTube. At the time, David gave the deal a C, and Ben suggested it could be as bad as a C-.

The hosts cringe as Emily reads their exact historical quotes back to them. Ben had claimed he was "bearish on YouTube primarily because it's not a destination," while David had openly questioned, "who goes to YouTube and discovers something?"

``` "The sad part is that we actually said that and decided to revisit this... YouTube was like the utility that you uploaded a video to and then you could embed it on your site." ```

In their defense, Ben notes that AI-driven feed recommenders and social media algorithmic sorting were just starting to take off at that exact moment. Google and Meta began buying up massive amounts of GPUs to train recommendation models, completely transforming platforms into the ultimate destination sites—a killer AI use case that they completely overlooked a decade ago.

---

[48:48](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2928s) The Modern Economy of YouTube and Creator Dynamics

Today, analysts suggest that if YouTube were spun out of Google, it would be valued at half a trillion dollars—nearly double the market cap of Netflix. Furthermore, YouTube TV is on track to become the largest cable provider in the United States.

However, David offers a legitimate business defense for their past skepticism: Google only reports YouTube's revenue, never its true profitability. When they graded the episode, YouTube was on a \$5 billion revenue run rate and losing massive amounts of money as a total "money pit." Today, it sits at a \$35 billion to \$40 billion annual revenue run rate, but its underlying business model remains uniquely expensive compared to traditional media.

* **Revenue Splits:** YouTube pays out 55% of revenue on long-form content and 45% on Shorts directly to creators. * **Content Spend:** This variable cost resulted in \$70 billion paid out to creators over the last three years, outstripping Netflix’s total content budget. * **Revised Grade:** The hosts unanimously upgrade the acquisition to an **A+** today, citing its immense strategic value as the world's second-largest search engine and its existential defensive value to Google's core business.

---

[52:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3128s) The LinkedIn Acquisition: A Hidden \$100 Billion Success Story

Emily moves to the next company on the list: LinkedIn. The hosts covered Microsoft's acquisition of LinkedIn just three days after it was announced, initially giving it a highly positive "A" grade despite having no long-term historical data to back it up.

While the hosts were right to be positive, they admit they had no idea just how massive the running room ahead actually was. At the time of acquisition, LinkedIn's advertising and content ecosystems barely existed. Today, the platform generates over \$16 billion in revenue—a 5x increase over the eight years since it was bought.

* **Revenue Composition:** Out of its current revenue, over \$5 billion comes strictly from advertising and content products developed post-acquisition. * **Platform Engagement:** The hosts note that Acquired has an equal number of followers on LinkedIn compared to other major social platforms, yet the actual user engagement is 5x to 10x higher. * **Market Capitalization Value:** While a 5x revenue increase over eight years is excellent rather than historically anomalous, it essentially created an independent company worth well over \$100 billion, all quietly compounding inside Microsoft.

[54:03](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3243s) The Microsoft-LinkedIn Breakthrough

The hosts recall the complete shock of Microsoft acquiring LinkedIn, a massive tech transaction that occurred without a single leak or early media report. Emily Chang shares a personal anecdote of being caught entirely off guard at the "crack of dawn." Her producer had been calling her phone non-stop, eventually calling her husband to deliver the news: "Microsoft just bought LinkedIn and you have to interview Satya and Jeff Weiner in an hour." Despite the chaotic rush, she pulled off the interview successfully.

Chang introduces fresh insights regarding Microsoft’s evolution, quoting LinkedIn co-founder Reed Hoffman, who remains on the Microsoft board. Hoffman characterizes Satya Nadella's leadership style as a "refounder" or a "late stage co-founder," noting that a refounder doesn't need to have been "in the garage from day one." According to Hoffman, Nadella successfully shifted Microsoft's trajectory away from a "Cutthroat culture and competition only practices" to focus heavily on social networks, collaboration, the cloud, and the early waves of artificial intelligence.

- The Microsoft acquisition of LinkedIn was executed with total secrecy, lacking any prior media leaks. - Kevin Scott, the current CTO of Microsoft, originally joined the tech giant from LinkedIn. - Reed Hoffman was an early investor and board member at OpenAI, mirroring Microsoft's current position as its largest backer.

[55:50](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3350s) SpaceX and the Starlink Juggernaut

The discussion shifts rapidly to SpaceX, one of the podcast's most popular historical episodes. When the show originally covered the company in May 2020, SpaceX was valued at \$36 billion and had completed 26 successful launches that year. The growth since then is described as "an insane" acceleration; the company completed 96 launches in the previous year and is targeting 118 for the current year, averaging more than two launches a week.

However, the hosts highlight that the core launch business is no longer the most financially compelling piece. Starlink has completely transformed the enterprise, tracking toward an estimated \$6.5 billion in revenue for 2024 and reportedly achieving profitability. The rapid consumer adoption is underscored by its 3 million subscribers accumulated just three years post-launch, shifting Starlink from a "pie in the sky" concept into a dominant aerospace asset.

- SpaceX completed 96 launches last year and targets 118 this year, equating to a launch roughly every three days. - Starlink’s 7,000 active satellites represent approximately two-thirds of all operational satellites currently orbiting Earth. - Starlink as a standalone entity is noted to be worth significantly more than the entire \$36 billion SpaceX valuation from 2020. - The speakers joke about geopolitical dynamics, noting NASA had no choice but to rely on SpaceX to rescue stranded astronauts since options with Russia, China, or Boeing were complicated or non-viable.

[57:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3475s) Valuing the Taylor Swift Enterprise

The conversation turns to Taylor Swift, who previously received an A+ grade on the show. The hosts debate how to properly calculate the enterprise value of a single artist, noting that conventional corporate metrics are hard to apply. When the original episode aired, Forbes estimated her net worth at \$550 million. Today, the scale has fundamentally shifted; the hosts estimate that Swift generated roughly \$550 million in "free cash flow" over the past 12 months alone.

A significant miscalculation from their previous coverage involved streaming economics. While industry myths suggested streaming platforms yield low returns for top-tier creators, Swift reportedly cleared "well over \$100 million from Spotify streaming alone" last year. Because she successfully executed her strategy to re-record her master albums, an incredibly high percentage of those streams direct maximum gross margins straight back to her, allowing her to out-earn the world's top Hollywood actors and athletes from streaming alone.

- The Eras Tour grossed \$1.1 billion in calendar year 2023, eclipsing the previous all-time historical record for a tour, which took multiple years to earn. - Assuming an efficient, high-margin touring operation of 30% to 35%, the tour yielded \$300 million to \$350 million in direct annual cash flow. - Her direct-to-theater concert film grossed \$267 million at the box office, bypassing traditional Hollywood middlemen, with an additional \$75 million secured via a streaming rights deal with Disney. - The hosts debate whether Swift’s business commands a premium multiple similar to major content houses like Disney, which trades at 20x free cash flow. Applying that multiple to her \$550 million cash flow would value her enterprise at \$11 billion. - Ben expresses skepticism over a 20x multiple, warning against valuing an asset based on an extreme outlier year with zero diversification, while David defends the enterprise lens, noting she is "the Rolling Stones of this generation."

[01:05:38](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3938s) JP Morgan Payments Takes the Stage

Following Emily Chang's departure, the hosts introduce Max Neukirchen and Umar Farooq, the global co-heads of their presenting partner, JP Morgan Payments, to conduct an unprecedented live ad-read on stage. Neukirchen defines the business simply: they help companies receive, hold, send, and safeguard money against fraud, leveraging transactional insights to scale operations. Their client footprint spans from local corner coffee shops requiring point-of-sale hardware to massive global marketplaces and multinational financial institutions.

Farooq expands on how the institution keeps pace with Silicon Valley innovation. Operating within their Onyx business unit, JP Morgan runs the largest financial blockchain ecosystem on the planet, moving larger transaction volumes than standard commercial crypto blockchains. Furthermore, they are deeply integrated into embedded finance systems and rely on internal AI models to actively combat adversarial fraud networks.

- JP Morgan Payments operates across 160 different countries worldwide. - The business moves approximately \$10 trillion every single day, which represents roughly 1 out of every 4 dollars moving globally. - The executives state that corporate clients "simply can't outgrow us," positioning themselves as a permanent financial infrastructure partner from startup to scale.

[01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) Jensen Huang Clarifies the Record

Before heading into the event intermission, the hosts share a special video message from a previous landmark guest, NVIDIA CEO Jensen Huang. The hosts explain that a clip from their past interview with Huang went viral, racking up tens of millions of views and hitting major publications like the Wall Street Journal and The New York Times. Because the snippet was widely misunderstood, the hosts actually pulled it down out of respect and invited Huang back to clarify his true meaning.

In the video, Huang addresses his viral response to the question of whether he would start NVIDIA all over again if he knew then what he knows now. His original answer—"absolutely not"—was widely sensationalized. Huang clarifies with a smile that "of course I would start the company if I knew it would turn out this way." His real point was a commentary on the sheer, agonizing difficulty of early-stage entrepreneurship.

- Huang stresses that building a company from scratch is "insanely hard" due to the overwhelming volume of unknowns. - Success requires surrounding oneself with exceptional talent to navigate intense adversity and outmaneuver highly intelligent adversaries.

[01:12:20](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4340s) Ignorance as an Entrepreneurial Superpower

Reflecting on his 31 years of running NVIDIA, Jensen Huang discusses how a 29-year-old’s brain would simply reject starting a company if all the impending hardships, pain, and suffering were compressed into it beforehand. This leads to what he describes as the "superpower" of entrepreneurs: a certain level of ignorance. Not knowing just how incredibly difficult the journey will be is precisely what allows an entrepreneur to take the leap and get started in the first place.

With the historical record officially corrected and a brief moment of banter, the hosts announce the night's main event. After a star-studded lineup featuring Jensen Huang of NVIDIA and Daniel Ek of Spotify, the crowd welcomes Meta's iconic founder and CEO, Mark Zuckerberg, to the stage amidst roaring music and high energy.

---

[01:13:58](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4438s) Pathos Mathos: Learning Through Suffering

Taking his seat, Zuckerberg jokes that after watching Jensen correct the record, he might need to book an entire second session just to apologize for whatever he says during this interview. When a host laughs that Zuckerberg does not apologize anymore, the discussion jumps straight into a burning question: if Zuckerberg knew then what he knows today, would he have actually started Facebook? Zuckerberg agrees with Jensen's sentiment, recalling the immense volatility and "thrashing" of the early startup days where everything felt like it could die at any moment. While he looks back on those times with fond memories, it is not a part of his life he wishes to relive. He attributes the willingness to start companies to a saving grace of human nature—the tendency to underestimate future pain in order to go out and accomplish good things.

The conversation naturally shifts to Zuckerberg's custom-designed attire. He explains that since Meta is designing eyewear and other wearables, he decided it was time to "get good at this" by collaborating with fashion designer Mike Amir. Zuckerberg shows off his shirt, which features the classical Greek saying *Pathos Mathos*, meaning "learning through suffering." When asked what the phrase means to him personally, Zuckerberg shares that it embodies the entrepreneurial journey.

"Values are not what you write down on the wall, it’s like your lived behaviors," Zuckerberg explains, noting that true values and one's place in the world are only discovered by repeatedly hitting your head against challenges and making hard trade-offs. The hosts point out that by their count, Meta has faced more existential challenges in its first 20 years than almost any meaningful company in history. Zuckerberg embraces this "dubious distinction," noting that the iconic Nike ad where Michael Jordan talks about failing over and over to achieve success deeply resonates with him.

---

[01:18:34](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4714s) The Evolution of Social Connection and Smart Glasses

Zuckerberg introduces Meta's smart glasses, created in partnership with EssilorLuxottica (the makers of Ray-Ban). He explains that Meta has been building social experiences for 20 years, shifting from websites to mobile apps. However, he has never viewed Meta as just a social media or app company; rather, it is a "social connection company" dedicated to building the future of human connection. Because the early days of Facebook coincided with the dawn of smartphones, a handful of college kids didn't have the resources to define that computing platform. For Meta's next chapter, Zuckerberg wants to build ideal social experiences from first principles, rather than being restricted by platforms built by others.

The ultimate goal is a pair of normal-looking glasses that can see what you see and hear what you hear, acting as a contextual AI assistant while projecting holographic images into the world. Zuckerberg describes a future where people can experience a realistic, physical sense of human presence even if one person is only there as a hologram. This mixed-reality environment will serve as the ultimate digital social experience and the ultimate incarnation of AI. Meta has been working on this massive project for 10 years, conquering monumental hurdles such as engineering a brand-new holographic display stack, miniaturizing components, and integrating chips, speakers, cameras, eye-tracking, batteries, and novel RF protocols into a sleek form factor.

* **10 Years:** The amount of time Meta has spent developing its advanced AR glasses technology. * **EssilorLuxottica:** Meta's core design and manufacturing partner for the Ray-Ban smart glasses. * **Hardware Components Packed into Glasses:** Custom holographic display stack, chips, microphones, speakers, cameras, eye-tracking sensors, batteries, and novel RF protocols.

---

[01:23:56](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5036s) The Saturday Phone Call and Pivoting to AI

Zuckerberg admits that when they first partnered with EssilorLuxottica, he initially viewed the basic smart glasses as a "practice project" to learn how to build advanced eyewear. One of the hosts jokingly cuts in to remind him that Zuckerberg originally thought Facebook itself was just a temporary project. This sparks a tangent about Zuckerberg's early days arriving in Silicon Valley with Dustin Moskovitz. Driving down Highway 101 past the headquarters of eBay and Yahoo, they hoped to build a real company like that "one day"—completely missing the reality that the Facebook project they were already scaling *was* that company.

Returning to the glasses, Zuckerberg describes how the explosive, full-scale transformation of AI completely changed the trajectory of the product. The hosts emphasize to the audience that these glasses were originally shipped before large language models (LLMs) or the public "ChatGPT moment" penetrated mainstream consciousness. Zuckerberg notes that he initially expected AR holograms to mature before full-scale AI, but when the timeline flipped, he realized the glasses—equipped with cameras, speakers, and mics—were the perfect vehicle for AI.

The host shares a high-stakes behind-the-scenes story told by Alex Himel, who runs the product group. Himel was driving on the highway with his kids on a Saturday when Zuckerberg called him out of the blue, asking if they could pivot, put Meta AI directly on the device, and ship it immediately to see if it worked. Zuckerberg laughs and confirms the story tracks perfectly. By the following Tuesday, the team had already put together a working prototype, cementing Meta AI as the flagship feature of a highly successful product.

---

[01:26:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5211s) The Nine Waves of Existential Competition

The conversation pivots to a central question: why has Meta worked so spectacularly well, maintaining its status as one of the most valuable companies in the world through multiple technology waves? The hosts list nine distinct eras where the public narrative insisted Facebook and Meta were completely "screwed" and destined to go obsolete:

1. MySpace 2. Twitter (Gen 1) 3. Instagram 4. Snapchat (particularly when they invented "Stories") 5. WhatsApp 6. TikTok 7. Apple's App Tracking Transparency (ATT) framework 8. The rise of ChatGPT

Despite these continuous existential threats, Meta has thrived. Zuckerberg explains that the through-line of the company's DNA is its identity as a technology company focused broadly on human connection, rather than a specific app or website. For him, transitioning from apps to smart glasses that deliver a sense of presence is a completely natural continuation of their core mission. He credits their resilience to a deeply rooted technological foundation, noting that his own background as an engineer who focused heavily on systems engineering in college shapes how the entire company approaches complex problem-solving.

[01:29:19](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5359s) Building a True Technology Company

The conversation kicks off with a look back at the scaling challenges of early social networks like Friendster and Myspace. Calculating social graphs and determining mutual connections was an incredibly difficult computational problem that blended product philosophy with technological capability. Mark Zuckerberg explains that if a product's definition is too general, the underlying technology becomes practically impossible to solve. A successful tech firm requires a smart product definition paired with a relentless drive to execute the technology better than anyone else.

Zuckerberg recalls that when he first arrived in Silicon Valley, he noticed that many self-proclaimed "technology companies" weren't actually structured as such. They often featured non-technical CEOs, boards completely devoid of technical expertise, and just a single head of engineering representing the technical side on the management team. To combat this, Zuckerberg intentionally structures his management team with a strong contingent of leaders who rose through the company's technical pathways. While he acknowledges that not everyone should be an engineer, a company cannot truly call itself a technology company without a significant share of technical leadership. This foundational focus is what allows Meta to transition fluidly from platform to platform.

- **Product vs. Tech:** A broad product definition can make technical implementation impossible; smart constraints are required. - **The Silicon Valley Observation:** Early tech companies often lacked technical depth at the executive and board levels. - **Organizational Learning:** Zuckerberg defines Meta's core strategy not as a single fixed idea, but as the ability to iterate and learn faster than any competitor.

---

[01:32:41](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5561s) The Turn-Based Strategy of Shipping Early

An interviewer brings up a piece of feedback from a research call, where an observer described Zuckerberg as a master strategist who "plays the company as if it's a turn-based strategy game." The goal is simply to secure more turns than anyone else and extract more learning from each turn. While Zuckerberg jokingly caveats his strategic record with the things he incorrectly assumed would be unimportant, he agrees that speed of iteration is a distinct, vital value. He contrasts Meta's cultural DNA directly with Apple's slow, hyper-polished methodology.

At Meta, internal conversations frequently push right up to the line of being embarrassed by a product's initial release. Zuckerberg strongly advocates for a culture that values shipping early over receiving immediate public accolades. Waiting around for praise means missing critical windows to capture real-world user data. While the hosts push back, suggesting that releasing unpolished tools could damage the brand, Zuckerberg specifies that they never intentionally ship bad products. Instead, they release functional, early hypotheses to figure out what the use cases actually are—a strategy they are currently leaning into heavily with their AI rollouts.

> "If you want to wait until you get praised all the time, you're missing a bunch of the time when you could have learned a bunch of useful stuff."

---

[01:36:53](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5813s) Product Creation: Invention vs. Discovery

The hosts pose a philosophical question about product development: Is it an act of invention or one of discovery? They use the metaphor of Michelangelo's David, asking if the perfect product is already inside the marble waiting to be uncovered via user feedback, or if it is fully conceived in the creator's mind first. Zuckerberg rejects the binary choice, stating it is a mix of both. True product creation requires holding internal values about what *should* exist in the world, while simultaneously staying highly attuned to what resonates with users. Relying only on personal vision leads to a lack of product-market fit, while relying purely on market feedback leaves a team without the conviction to survive hard times.

To illustrate, Zuckerberg points to the creation of the Facebook News Feed in 2006. Prior to that, social networks were just static collections of profile pages. Meta established a seminal pattern by ranking and streaming updates into a singular feed—a concept that is now an absolute baseline for any social product. Conversely, he notes that Meta takes equal pride in adopting and improving formats discovered by others, such as the Stories format. He candidly admits that "there are more smart people outside of your company than inside," and refusing to learn from the broader market means missing vital consumer signals.

---

[01:40:21](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6021s) Open Source as a Strategic Imperative

The discussion shifts to open-source technology. The interviewers posit that Meta has historically been one of the single largest beneficiaries of open source in the modern world. Zuckerberg agrees, noting that Meta was the first major corporation built entirely on the LAMP stack (Linux, Apache, MySQL, PHP) and could not have been created without it. However, Meta’s relationship with open source evolved uniquely because they came into maturity right after Google.

Google had already built massive, proprietary distributed computing infrastructure as a competitive advantage. When Meta built its own version, Zuckerberg realized that keeping it closed offered them no leverage against Google. By opening it up through initiatives like the Open Compute Project, Meta turned its designs into the industry standard. This moved the entire supply chain, made production significantly cheaper, and saved the company billions of dollars. Zuckerberg applies this exact same playbook to artificial intelligence with Llama, explaining that large models are ecosystems that inherently grow stronger the more people build on top of them.

- **The LAMP Stack Legacy:** Meta’s early foundation was built entirely on free, open-source software, enabling rapid development. - **The Open Compute Win-Win:** Standardizing hardware designs across the industry drove down supply chain costs globally. - **Platform Independence:** Developing core tech platforms like Llama, AR glasses, and mixed reality ensures Meta won't have its product decisions blocked by rival mobile operating systems.

The HTML5 Mobile Pivot and the Post-IPO Drawdown

The conversation shifts dramatically as one of the hosts eagerly "grabs the wheel" to steer the discussion toward Facebook's historic mobile transition. In May 2012, right around the time of its initial public offering (IPO), Facebook had built its mobile experience on HTML5. The company went public at a massive \$104 billion market cap, only to suffer a painful 50% drawdown over the subsequent three months—a collapse heavily attributed to their broken mobile strategy. Asked how this brutal period informs his current approach to massive technological shifts like AI, Mark Zuckerberg explains that the company’s legacy was deeply rooted in building for the web. They were accustomed to a continuous deployment style where they could write code once and ship it instantly.

When smartphones emerged, the native app ecosystem felt incredibly restrictive to Facebook's fast-moving culture. They balked at the idea of building distinct apps for every operating system, waiting weeks for app store approvals, and navigating bureaucratic review processes. Their solution was to build a native shell containing a web-based platform. Zuckerberg recalls thinking that whatever performance downside they suffered from not being native would be easily offset by sheer engineering velocity and the ability to maintain a single codebase across Android, iPhone, BlackBerry, and Windows Mobile. "Well, we were wrong," Zuckerberg admits bluntly. The native integration turned out to be completely critical for the user experience and making interactions feel smooth.

- Facebook went public at a \$104 billion market cap in May 2012, followed by a 50% stock plunge over three months. - The HTML5 approach was designed to target all major operating systems of the era simultaneously: Android, iPhone, BlackBerry, and Windows Mobile. - Facebook chose to completely pause new feature development for roughly a year to execute a native rewrite from scratch, citing historical tech industry failures like Netscape as cautionary tales of trying to add features during an underlying platform overhaul.

Monetizing Mobile and Surviving the Rewrite

The technical rewrite coincided with an explosion in mobile traffic, creating a terrifying structural crisis: Facebook had zero mobile revenue. Zuckerberg notes that on desktop, the user interface featured a main application column and a separate side column dedicated to ads. Mobile offered no such real estate, meaning the team had to invent an entirely new paradigm. "Let's be clear, the feed ad had not been invented yet," a host chimes in. Advertisers were deeply resistant to their formats being altered to look like organic feed stories, while users were hostile to commercial content encroaching on their personal feeds.

Compounding the problem, as desktop usage shrank and unmonetized mobile usage grew, the percentage of Facebook's traffic that could actually make money plummeted. Despite the immense public pressure of being a newly public company, Zuckerberg kept the focus on the long game. He notes that while it is strategically difficult to figure out the next move when you are winning, "when you're losing it's usually pretty clear what you have to do." Internal teams felt better sooner because the path forward was obvious, even if Wall Street panicked over a year and a half of stagnant financial performance. Looking back, Zuckerberg jokes that a year-and-a-half-long mistake that cuts your market cap in half is "not that bad" in the grand scheme of things.

- Desktop monetization relied on a dedicated side column for advertisements, which did not exist on smaller mobile screens. - The company faced simultaneous pushback from advertisers who resisted the feed format and users who disliked ads in their organic feeds. - Zuckerberg describes the cultural difficulty of abandoning a working "local hill" to leap to another, contrasted with the clarity that comes from an outright crisis.

The 20-Year Political Miscalculation

The hosts push Zuckerberg to turn his reflective eye toward deeper criticisms of Meta, asking which historical critique he views as the most legitimate. Zuckerberg reflects on how the political environment shifted violently around 2016. Prior to the 2016 U.S. presidential election, public and media sentiment toward Facebook was overwhelmingly positive, barring the brief post-IPO dip. Immediately after the election, the sentiment flipped into a relentless wave of negativity. Zuckerberg confesses that he lacked political sophistication and fundamentally misdiagnosed the problem.

His core regret stems from treating a highly charged political crisis with the standard playbook of a corporate crisis. In business, the right instinct is to take complete ownership of an issue and vow to fix it. However, Zuckerberg notes that in politics, while some actors operate in good faith, many are simply looking for a scapegoat to blame. By repeatedly accepting responsibility for massive, systemic societal ills that people blamed on tech, Facebook essentially invited further attacks. Zuckerberg estimates that if the IPO mobile pivot was a year-and-a-half mistake, this political miscalculation is a "20-year mistake" that will take another decade to fully resolve.

- Zuckerberg distinguishes between Meta's identity as a "technology company" versus a "human connection company," rather than just a social network. - The shift in public sentiment occurred sharply around the 2016 election, moving from consistently positive to consistently negative. - Zuckerberg believes Meta should have been much firmer in pushing back against unproven allegations regarding social media's correlation with societal harms. - To counter ungrounded claims, Meta has pivoted toward supporting independent, third-party academic research in advance, recognizing that the company lacks standalone credibility when under political fire.

Super-Voting Shares and the Yahoo Buyout Lesson

The conversation turns to Meta's unique governance structure and the immense advantage of Zuckerberg's long-term "Buffett duration" perspective. Because Zuckerberg started the company as a 19-year-old college dropout, he enjoys a massive horizon of remaining career longevity. Crucially, he protects this long-term view through a dual-class share structure with super-voting shares—a mechanism that non-founder CEOs simply do not have. Zuckerberg traces the origin of this absolute control back to a traumatizing corporate crisis in 2006, when Yahoo offered to buy Facebook for \$1 billion.

At the time, Facebook was just a two-year-old project. Every single member of the management team wanted to sell, the board of directors actively tried to fire Zuckerberg for refusing the offer, and within a year, the entire executive team quit in protest. Zuckerberg takes the blame for the fallout, admitting he lacked the corporate sophistication to articulate a long-term financial plan or explain why the company would be worth far more in the future. "It probably wasn't super confidence-inspiring to them when I was like, 'Hey, I think we should turn this down because we're going to do this,'" he recalls. Shaken by the experience of nearly being ousted from his own creation, he resolved to set up a governance structure that would make it impossible to fire him again. The hosts marvel at this narrative of "learning through suffering," pointing out that Facebook's early cash-generative nature meant Zuckerberg never had to "cut off his arm" and cede ultimate control just to survive.

- In 2006, Yahoo offered to buy Facebook for \$1 billion, leading to a massive internal rift when Zuckerberg refused to sell. - The entire management team subsequently left the company within a year due to the strategic disagreement and a lack of shared long-term vision. - The near-firing drove Zuckerberg to intentionally design a corporate governance system centered around super-voting shares to secure absolute founder control.

[01:59:17](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7157s) Keeping Startups Lean and the Myth of Romanticizing Early Stages

The common perception of Facebook is that it represents the prototypical startup, framing Mark Zuckerberg as the iconic founder of the century. However, it is noted that while many people romanticize starting a company for glamorous reasons, Zuckerberg actually wanted to transition Facebook out of the chaotic "startup" phase as quickly as possible into a stable, going concern. Reflecting on this, Zuckerberg shares that he is having much more fun now because he actually has the capability to work on the things he wants. He cautions founders against diving headfirst into an idea simply for the sake of starting a company, noting that such a rigid approach is dangerous.

Zuckerberg emphasizes that the early phase of a project requires extreme nimbleness and the flexibility to pivot. To illustrate, he reveals that during his college days, he built around 12 different things just because he wanted them to exist. He didn't initially realize Facebook would become a massive company; he was simply building tools, helping upkeep the ones people kept using, and moving on to the next idea. He argues that maintaining internal flexibility is much easier when you can "have meetings in your own head" about changing direction. Once a large team is hired, people invest their egos and pride into a specific path, making it much harder to convince them to change course. This is why Meta has actively worked to strip away excess layers and return to the leanest possible version of a large company.

- Zuckerberg built roughly 12 different projects while in school before Facebook became a definitive company. - A major pitfall of scaling too quickly is that having too many people on a project reduces individual agency, which kills fun and prevents the company from attracting top-tier talent.

[02:01:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7311s) Reality Labs, Strategic Autonomy, and the Economics of Platform Taxes

When challenged on whether spending a "gajillion dollars" on Reality Labs violates his own rule about keeping resource allocation appropriate to a project's stage, Zuckerberg defends the massive investment by looking at a 10-to-20-year horizon. He is entirely confident that AR glasses and holographic presence will become completely ubiquitous. He points out that if Meta can simply capture the existing global market of people who already wear glasses and upgrade them to AI-powered eyewear, it will easily become one of the most successful products in history.

Beyond product vision, there is a stark, multi-billion-dollar strategic calculation behind owning the next computing platform: controlling their own destiny. Zuckerberg shares that Meta conducted an internal estimate to calculate how much profitability they lose from their core Family of Apps due to "taxes" and restrictions imposed by rival platforms (like Apple and Google). When external platforms dictate how Meta can run its ad business or restrict what products can be shipped, user engagement and satisfaction drop. Zuckerberg estimates that Meta might be twice as profitable today if they owned the underlying platform. While he notes he has "learned a thing or two since the Yahoo days" about articulating a long-term business case to skeptical investors, his primary motivation remains the product experience itself.

- Zuckerberg believes upgrading the existing population of glasses-wearers to AI glasses would make it one of the most successful product launches ever. - Internal estimates suggest Meta could potentially be twice as profitable if they weren't subjected to rival platform restrictions and ad-tracking limitations. - Zuckerberg notes that his absolute control over the company's governance allows him to maintain these massive investments in Reality Labs even when short-term investors object.

[02:04:04](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7444s) Shifting Focus From "Good" to "Awesome" Products

Zuckerberg details a profound philosophical shift in his leadership, inspired by a distinction early Oculus team members taught him: the difference between building "good" things versus "awesome" things. Good products are useful, helpful, and add daily value to people's lives—a standard Meta has clearly achieved with its massive user base. However, "awesome" products are fundamentally different; they are uplifting, inspiring, and make people feel deeply optimistic about the future and humanity. Zuckerberg acknowledges that while more than 3 billion people use Meta's products daily because they are incredibly useful for connecting, building businesses, and forming communities, very few people actually get out of bed in the morning and enthusiastically celebrate social media as an inspiring concept.

Looking ahead at the next 15 years of his career, Zuckerberg wants Meta to stand for things that are inspiring and awesome, placing both Reality Labs and their core AI initiatives squarely into this bucket. This corporate shift mirrors a deeper evolution in his personal life as he grows older. Zuckerberg explains that he now prioritizes working on inspiring projects with inspiring people. This includes solving complex scientific problems alongside his wife, Priscilla, collaborating with world-class fashion designers, and commissioning contemporary artists like Daniel Arsham to create a sculpture of his wife to revive the ancient Roman tradition of sculpting loved ones.

- Meta's core products currently reach a staggering 3.3 billion daily active users across its family of apps. - Zuckerberg identifies Reality Labs and fundamental AI research as the primary vehicles for this new 15-year era of creating "awesome" products. - His side projects include a cattle ranch in Kauai where he is attempting to raise the highest quality beef in the world. - He shares an anecdote about a steer named "Chun," who repeatedly busts through steel enclosures whenever he sees a female cow—humorously noting that this relentless drive is exactly "the kind of bull that you want" for world-class breeding.

[02:08:27](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7707s) The COVID-19 Reflection and the Decision to Double Down

When asked if this radical evolution in his personality and focus was sudden or gradual, Zuckerberg attributes a lot of the change to the operational shifts during the COVID-19 pandemic. Being naturally introverted, the temporary shift to remote work gave him much-needed time alone to step back and reflect. This period of isolation coincided with an incredibly intense, difficult political climate in the United States, with Meta sitting squarely at the center of the storm. This high-pressure environment forced deep introspection about what the company should represent.

During this period, long-term bets that had been simmering at a smaller scale since 2012 and 2014—namely the Fundamental AI Research (FAIR) team and Reality Labs—reached a critical crossroads. Zuckerberg had to decide whether to treat them as minor hobbies or to truly double down on them. He chose to lean in fully, despite knowing it would require massive, painful capital expenditures on AI infrastructure and that investors would heavily push back in the short term. What he did not anticipate was a simultaneous macroeconomic recession. Zuckerberg reflects on the brutal financial hit, joking that losing half of your market cap feels "quaint" compared to the sharper, near-80% drop they actually faced. Ultimately, he views these painful periods as refining fires that make the company stronger.

- Meta's fundamental AI research (FAIR) began around 2012–2013, while the Reality Labs initiative officially kicked off around 2014. - The decision to massively scale up AI infrastructure and metaverse spending coincided with a market downturn where Meta lost a staggering portion of its market valuation. - Zuckerberg embraces these corporate crises, stating, "you learn who you are through challenges" and that painful periods ultimately improve the company.

[02:11:35](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7895s) Why the Name "Meta" Was Chosen and Running Towards a Vision

As the interview transitions into a concluding lightning-round format, the discussion turns to the company's famous rebranding. Given that Meta's core competencies span massive, disparate sectors like AI, AR, and VR, the interviewer questions whether Zuckerberg would still choose the name "Meta" if he were renaming the company today, or if he would prefer something more generic to maximize his future "maneuverability" and avoid being pigeonholed. Zuckerberg firmly defends the choice, stating simply, "I like Meta. It's a good name." He explains that the rebranding was born out of a practical reality: the company had evolved from just Facebook with a few side projects into an expansive "family of apps" featuring four separate platforms that boast over a billion users each—with Threads tracking to potentially become the fifth in the coming years.

Zuckerberg addresses the cynical view surrounding the corporate name change, revealing that during their peak political and brand crises, many advisors suggested changing the name as a way to "run away" from the damaged Facebook brand. Zuckerberg adamantly rejected that cowardice, telling his team, "we don't run away from that." He insisted that the company would only rebrand when they had a name that actively invoked the positive future they were building. Choosing "Meta" was an intentional choice to lean directly into their massive long-term investments right when the controversy was at its highest. He concludes by rejecting the idea of keeping a completely open-ended corporate identity just to maximize freedom, stating that Meta's ultimate identity comes from aligning around a explicit mission and running directly toward it.

- Meta currently features four distinct apps with over 1 billion users, and Zuckerberg expects Threads to become the fifth within the next three years. - Zuckerberg explicitly rejected internal proposals to use the rebrand as a shield to escape political controversy, insisting that they only move when "running towards something."

[02:14:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8091s) "Mark-Shaped Holes" and the Evolution of Challenges

The conversation shifts to how Mark Zuckerberg handles his personal time and challenges. The host observes that while they all used to watch Zuckerberg's public annual challenges with inspiration when they were younger, everyone on stage has since grown older, managing families and companies of varying sizes. While most people find their free time entirely "sucked" away by these mounting demands, Zuckerberg has surprisingly expanded his personal pursuits. When asked what he means, the host laughs and points out that Zuckerberg has transitioned from annual challenges to what feels like weekly challenges—designing t-shirts, making sculptures, and raising things. Zuckerberg chuckles, stating simply, "I'm trying to do inspiring things." He also admits to being incredibly competitive, noting that he has recently gotten into extreme sports and fighting.

[02:16:17](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8177s) The Next Architectural Ideological Battle with Apple

When asked who his competition is, Zuckerberg takes a broader view beyond sports, evaluating the social media and platform landscapes. He explicitly names Apple as a far bigger competitor than people realize, explaining that observers often assume the two companies are executing completely different strategies. Over the next 10 to 15 years, Zuckerberg predicts a deep "ideological battle over what should the architecture be of the next set of platforms." He details the historical computing cycles—from PCs to mobile—noting that every generation has featured a clash between a closed, integrated model and an open ecosystem.

Zuckerberg argues that a profound "recency bias" exists because the iPhone essentially won the intellectual and commercial battle of the mobile era, leading the public to view the closed model as inherently superior. However, he counters this by reminding the audience that Windows and its open ecosystem led the PC era. His core objective for the next decade and a half is to build the next generation of open platforms—spanning open AI models like Llama to smart glasses—and ensure that the open model wins to create a more vibrant tech industry. He views this not merely as a product competition, but a deeply values-driven conflict. He wants to ensure that a developer starting out in a dorm room today, just as he did, does not have to "ask for permission" to build awesome things.

- **Historical Precedent:** Windows proved that an open ecosystem could lead a computing era, challenging the assumption that Apple's closed model is the only successful blueprint. - **Strategic Horizon:** The open vs. closed platform battle is projected to play out aggressively over the next 10 to 15 years. - **Key Open Technologies Mentioned:** Llama (AI architecture) and smart glasses.

[02:18:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8335s) Final Advice to Founders: The Taylor Swift Lesson

As the live session moves toward its closing question, the hosts ask Zuckerberg what advice he has for the numerous builders and founders in the audience. They note that the current tech landscape represents the most interesting environment for opportunity since the early days of mobile, and ask how modern founders should navigate this without simply trying to "pattern match Mark Zuckerberg from 2004." Zuckerberg advises founders to focus on doing something they genuinely care about and to learn as quickly as possible. Recognizing that different strategies work for different teams, he shares a lighthearted, personal anecdote about taking his daughter to a Taylor Swift concert.

After the show, his daughter expressed that she wanted to be just like Taylor Swift when she grew up. Zuckerberg joked back, "You can't, that's not available to you." After thinking it over, his daughter replied, "All right, when I grow up I want people to want to be like August Chan Zuckerberg." Delighted by her ambition, Zuckerberg uses the story to emphasize his ultimate piece of advice for the creators in the room: "Look, learn from other people's successes and failures, but do your own thing."

[02:20:48](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8448s) A Custom "Size Zuck" Shirt and Event Wrap-up

To close out the evening, the hosts present Zuckerberg with a custom, one-of-one designed shirt. Zuckerberg jokes about his style evolution, admitting, "I used to only wear one type of shirt, now I've moved on." The hosts explain the deep personalization woven into the gift, pointing out that it is tailored specifically to "size Zuck" so no duplicate can ever be made. Furthermore, the back of the shirt features two specific sets of GPS coordinates celebrating his journey: the first marks Kirkland House, the Harvard dorm where he wrote the very first line of code for Facebook, and the second marks the Chase Center, where they are standing tonight.

Following Zuckerberg's departure from the stage, the hosts express gratitude to the massive team required to pull off the live event, noting that the production took up their entire summer and involved about a thousand people. They extend specific thanks to the Meta executive team, Daniel Ek and the Spotify team, Emily and Lauren from Bloomberg, Jensen Huang and the Nvidia team, and Hermes for dressing them. They close with an emotional thank you to their wives and families, and express deep appreciation to Jamie Dimon, JP Morgan Chase, and JP Morgan Payments for a "dream partnership" that made the entire evening possible. The event concludes with a live musical performance as the Acquired podcast signs off live from the Chase Center.

- **Kirkland House Coordinates:** Commemorates the physical birthplace of Facebook's original codebase. - **Chase Center Coordinates:** Marks the venue of the live podcast event. - **Production Scale:** The event required the work of dozens of core coordinators and roughly 1,000 total staff members over the course of the summer.

## Notable quotes > [04:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=240s) That is how the sausage is made — David

> [22:19](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1339s) Spotify is so good — Mark Zuckerberg

> [29:14](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1754s) The rule I have with Mark is I don't try to go into a competition with them because I know it'll end badly for both of us. — Daniel Ek

> [29:14](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1754s) talk is cheap — Daniel Ek

> [36:37](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2197s) When your product is being used in spite of it actually being a pretty terrible experience, you kind of know you've got something. — Daniel Ek

> [46:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2768s) bearish on YouTube primarily because it's not a destination — Ben

> [46:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2768s) who goes to YouTube and discovers something? — David

> [54:03](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3243s) Microsoft just bought LinkedIn and you have to interview Satya and Jeff Weiner in an hour. — Emily Chang's producer

> [01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) of course I would start the company if I knew it would turn out this way — Jensen Huang

> [01:13:58](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4438s) learning through suffering — Mark Zuckerberg

> [01:13:58](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4438s) Values are not what you write down on the wall, it’s like your lived behaviors — Mark Zuckerberg

> [01:18:34](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4714s) social connection company — Mark Zuckerberg

> [01:29:19](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5359s) technology companies — Mark Zuckerberg

> [01:32:41](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5561s) If you want to wait until you get praised all the time, you're missing a bunch of the time when you could have learned a bunch of useful stuff. — Mark Zuckerberg

> [01:36:53](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5813s) there are more smart people outside of your company than inside — Mark Zuckerberg

> [02:11:35](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7895s) I like Meta. It's a good name. — Mark Zuckerberg

> [02:18:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8335s) Look, learn from other people's successes and failures, but do your own thing. — Mark Zuckerberg

## Mentioned Ben Gilbert, David Rosenthal, Chase Center, San Francisco, Who Got the Truth, Jamie Dimon, JPMorgan Chase, JPMorgan Payments, Dustin Sedgwick, Hannah, Nick, Vinnie, Amy, Carli, Mark Zuckerberg, Meta, Blue Angels, Steven, The Wall Street Journal, Daniel Ek, Spotify, Mexico, Hong Kong, Israel, Singapore, Hermes, Sean Parker, Facebook, Facebook News Feed, Farmville, Zynga, Jam, Gustav, Silicon Valley, Germany, StatSig, OpenAI, Microsoft, Notion, Anthropic, Figma, Crusoe, Act Two, Emily Chang, Bloomberg, The Circuit, Priscilla, Google, YouTube, Netflix, YouTube TV, Shorts, LinkedIn, Satya Nadella, Jeff Weiner, Reed Hoffman, Kevin Scott, SpaceX, Starlink, NASA, Russia, China, Boeing, Taylor Swift, Forbes, Max Neukirchen, Umar Farooq, Onyx, Jensen Huang, NVIDIA, The New York Times, Mike Amiri, Nike, Michael Jordan, EssilorLuxottica, Ray-Ban, Dustin Moskovitz, eBay, Yahoo, Alex Himel, ChatGPT, MySpace, Twitter, Instagram, Snapchat, WhatsApp, TikTok, Apple, Friendster, Myspace, Michelangelo, LAMP stack, Linux, Apache, MySQL, PHP, Open Compute Project, Llama, Android, iPhone, BlackBerry, Windows Mobile, Netscape, Wall Street, Buffett, Reality Labs, Family of Apps, Daniel Arsham, Chun, August Chan Zuckerberg, Lauren, Oculus, Fundamental AI Research, FAIR, Threads, Windows, Kirkland House, Harvard, Kauai

[Source](https://www.youtube.com/watch?v=KVc7EVfWq3M)

中文简报

扎克伯格在下一代平台之争中瞄准苹果架构 Meta 正加倍投入开源 AI 与硬件基础设施,以绕过竞争对手的移动生态税并永久确保产品独立性。 本场现场活动深入探讨了科技历史、商业战略以及大型平台的演进。第一幕中,Spotify 首席执行官 Daniel Ek 与主持人探讨了播客媒介的扩张、其公司的产品自发增长历程,以及他与 Meta 的长期合作关系。第二幕中,彭博社的 Emily Chang 带领主持人“速通”回顾了 Acquired 的经典案例,重新评估并上调了对 YouTube、LinkedIn 和 SpaceX 等科技巨头的过往公司评级。最后,Meta 首席执行官 Mark Zuckerberg 登台,深入剖析了他的创业哲学、克服关乎存亡的平台挑战的经历、向开源 AI 和智能眼镜的战略转型,以及他对 Reality Labs 的长远愿景。 Acquired 在旧金山大通中心举办的现场活动吸引了 6,000 名粉丝观众,彰显出该播客自 2015 年以来通过口碑复利效应实现的巨大自发增长。 (2:00) Spotify 创始人 Daniel Ek 作为神秘嘉宾出席,并透露仅在 Spotify 平台上,用户消费 Acquired 内容的时长就已超过 500 万小时,同比增长两倍(达到去年三倍)。 (9:26) 播客媒介的演进极大地扩大了其潜在市场总额,其中无线耳机为长音频收听带来了强劲的宏观利好推动。 (16:00) Daniel Ek 指出视频播客在 Spotify 上的迅速崛起,这受到追求自主权及希望与内容创作者建立更紧密联系的年轻群体的推动。 (19:32) Spotify 与 Facebook 在 2008–2009 年间奠定了深厚的社交基础,当时整合接入 Facebook 动态消息(News Feed)为 Spotify 带来了病毒式增长和结构性社交功能。 (22:19)

Reading summary

Speaking before a live audience, Spotify founder Daniel Ek and Meta CEO Mark Zuckerberg detailed how platform survival demands rapid execution cycles, learning through public missteps, and breaking free from platform dependencies. Platform Expansion and Organic Consumer Signals (16:00) Spotify founder Daniel Ek highlighted that expanding into adjacent mediums succeeds best when responding to existing user behaviors rather than top-down initiatives. Spotify entered podcasting in 2019 and reached global market leadership by 2022, expanding its podcast audience from several million to over 150 million listeners within an active user base exceeding 500 million. Ek noted that the company disrupted conventional wisdom by unifying music and podcasts into a single streaming app rather than siloing formats. A similar dynamic drove its audiobook expansion after audiobooks organically surfaced on German music charts in 2018, demonstrating viable demand despite initially poor user interfaces. Ek also discussed the evolution of social listening. While early attempts to broadcast friend activity directly into the Facebook News Feed eventually faded, shared listening found traction through active collaboration. Features like Jam—built initially during the pandemic to allow synchronized listening—shifted user behavior toward collaborative queuing at live gatherings. Reassessing Acquisitions: The Compounding Power of Feeds (46:08) Revisiting their historical podcast analyses, the hosts upgraded Google’s 2016 acquisition of YouTube from a C/C- to an A+. Ben Gilbert and David Rosenthal noted that their original skepticism failed to anticipate the power of GPU-trained recommendation engines, which transformed YouTube from a video-hosting utility into a primary destination. YouTube currently operates at an estimated $35 billion to $40 billion annual revenue run rate, paying out 55% of long-form and 45% of Shorts revenue to creators, totaling $70 billion over three years. Similar compound growth appeared across other analyzed assets. Microsoft’s acquisition of LinkedIn grew revenue fivefold over eight years to surpass $16 billion annually, driven by advertising and content businesses that contributed over $5 billion post-deal. Meanwhile, SpaceX accelerated launch cadence to an expected 118 launches in 2024, with Starlink generating an estimated $6.5 billion in profitable revenue across 3 million subscribers, powered by approximately 7,000 satellites comprising roughly two-thirds of active orbiters. Meta’s Playbook: Iteration Speed, Governance, and Rewrites (86:51) Mark Zuckerberg traced Meta’s survival across nine competitive waves—from MySpace and Snapchat to TikTok and ChatGPT—to a company culture anchored in systems engineering and iterative deployment. Zuckerberg defended shipping functional, early hypotheses over waiting for polished releases, arguing that holding out for public praise forfeits vital learning cycles. This velocity strategy survived major setbacks, including the 2012 decision to build Facebook's mobile experience on HTML5, which contributed to a 50% post-IPO market cap drawdown before the company executed a full native rewrite and developed feed ads. To protect long-term decision-making, Zuckerberg instituted dual-class super-voting shares following a 2006 crisis where Yahoo offered $1 billion to acquire Facebook. Because his entire management team and board favored the sale, the resulting tension led to executive resignations and board attempts to oust him, cementing his determination to maintain absolute governance control. Hardware Autonomy and the Open Platform Battle (121:51) Zuckerberg framed Meta’s multi-billion-dollar investments in Reality Labs and Ray-Ban smart glasses as both a product evolution toward holographic presence and an essential hedge against platform gatekeepers. Meta internal estimates suggest the company could be up to twice as profitable if it were not subject to operational restrictions and 'taxes' imposed by mobile operating system owners like Apple and Google. Looking forward over the next 10 to 15 years, Zuckerberg anticipates a fundamental architectural and ideological contest between closed ecosystems and open models in computing and AI. While acknowledging that Apple's integrated model won the smartphone era, he pointed to Windows' triumph in the personal computer market as proof that open ecosystems can dominate, arguing that open foundational technologies are necessary to keep the broader industry competitive. The discussions illustrate that multi-decade tech resilience depends on enduring costly operational rewrites and controlling strategic distribution, though Meta's long-term wager on open AI and spatial hardware faces unresolved resistance from established closed platform operators.

精炼阅读摘要

本期《Acquired》现场特辑汇聚了 Spotify 创始人 Daniel Ek 与 Meta 创始人 Mark Zuckerberg 等科技领袖,深入剖析了数字媒体生态演变、标杆并购案的历史重估,以及科技巨头穿越技术周期与应对生存威胁的底层逻辑。核心观点表明,平台型企业的长期生存取决于高频试错的学习机制与对底层计算架构的自主掌控,而未来十年的关键博弈将聚焦于开放生态与封闭体系在新一代计算平台上的主导权之争。 音频媒介演进与平台一体化扩张 (16:00) Spotify 创始人 Daniel Ek 在对话中指出,Spotify 在播客领域的快速扩张打破了传统观念中不同媒体形态必须使用独立应用程序的假设。自 2019 年进军播客业务以来,Spotify 仅用三年便在 2022 年确立了全球市场领导地位,其播客受众从几百万扩张至超过 1.5 亿,整体月活用户突破 5 亿。Ek 强调,Spotify 的产品突破往往来自对用户自然行为的捕捉而非自上而下的规划,例如德国用户曾自发将有声书推上有声榜单,这意外促成了公司后来正式构建独立的有声书业务体系。 在媒介形态的探索上,Acquired 主持人与 Ek 探讨了音频向视频的延伸。主持人认为音频的独特价值在于不强求视觉专注,契合用户通勤、运动等多任务场景;Ek 则反驳称,年轻一代消费者不再教条地区分音频与视频,视频格式的爆炸式增长源于受众渴望与创作者建立更亲密的“临场感”。此外,Ek 回顾了早期与 Facebook 合作冷启动的历程,并介绍其在疫情期间推出的“Jam”实时协作听歌功能,说明音乐消费正从被动广播转向高参与度的实时社交体验。 科技并购复盘与创作者经济重估 (46:08) 在彭博社 Emily Chang 登台的环节中,节目重新审视了多项经典科技并购的长期表现。针对 2016 年节目曾对 Google 收购 YouTube 给出“C/C-”的低评分,主持人一致将其修正为最高等级“A+”。他们坦承过去低估了 AI 算法信息流将平台塑造为核心目的地的能力;目前 YouTube 若独立拆分,分析师预计其估值可达 5000 亿美元,年收入在 350 亿至 400 亿美元之间。虽然 YouTube 拥有高昂的流式分成成本(过去三年向创作者支付了 700 亿美元,长视频与 Shorts 分成比例分别为 55% 与 45%),但已构筑起 Google 面对搜索威胁时最坚固的防守护城河。 复盘同时指出,微软收购 LinkedIn 是一笔被低估的百亿级交易。自收购以来,LinkedIn 年收入增长 5 倍至 160 亿美元,其中广告与内容业务从零起步贡献超 50 亿美元,在微软内部复合增长为价值超千亿美元的资产。此外,讨论还对比了前沿硬件与文娱资产的扩张:SpaceX 旗下的 Starlink 预计 2024 年创收 65 亿美元并实现盈利,拥有 300 万订阅者及约 7000 颗在轨卫星;而 Taylor Swift 凭借对重录母带版权的控制,过去 12 个月产生约 5.5 亿美元自由现金流,仅 Spotify 流媒体分成即超 1 亿美元,颠覆了传统艺人依赖演出的收入模型。 试错哲学与公司治理的控制权根基 (86:51) Meta 首席执行官 Mark Zuckerberg 将其创业历程凝练为“通过痛苦学习”(Pathos Mathos),赞同英伟达 Jensen Huang 关于“适度无知是创业者克服初期艰难之超能力”的看法。在回顾 Meta 历经 MySpace、Snapchat、TikTok 崛起以及苹果隐私政策(ATT)调整等九次毁灭性技术威胁时,Zuckerberg 表示 Meta 的核心底色是技术公司而非特定产品,其领导层由深具系统工程背景的技术专家主导。在开发策略上,Meta 采用类似“回合制策略游戏”的高频迭代方法,宁愿顶着产品初期的不完美尽早推向市场以收集真实反馈,也绝不推迟上线等待完美赞誉。 Zuckerberg 深入剖析了公司历史上的两次重大失误:其一是 2012 年 IPO 前后押注 HTML5 架构导致的移动端性能灾难与股价暴跌,尽管造成 50% 的市值回撤,但由于路径明确,团队在一年半内通过重写原生代码与发明信息流广告解决了危机;其二是 2016 年后对复杂政治局势的误判,他承认早期将政治问责当作普通企业危机公关来处理,不断公开道歉反而使公司沦为替罪羊,这一教训被他称为需要 20 年才能消解的长期代价。同时,他披露自身坚守的双重股权超级投票权源于 2006 年雅虎提出 10 亿美元收购时管理层全员倒戈、董事会险些将其解雇的创伤,该机制是他捍卫长期技术愿景的关键屏障。 摆脱平台税与未来计算架构博弈 (121:51) 针对外界对 Reality Labs 巨额研发开支的批评,Zuckerberg 基于十年以上的周期进行了战略辩护。Meta 内部测算表明,由于依赖苹果 iOS 与 Google Android 操作系统,Meta 在移动端承受着苛刻的应用审查与数据限制;若能拥有完全自主的底层平台,Meta 核心应用家族的利润可能会是目前的双倍。因此,与 EssilorLuxottica 合作开发集成了摄像头、麦克风和 AI 助手的 Ray-Ban 智能眼镜,并推进全息显示技术,是 Meta 掌握自身商业命运、摆脱对手“平台税”压制的战略必由之路。 展望未来 10 至 15 年,Zuckerberg 预言科技产业将迎来一场关于下一代平台底层架构的意识形态大决战。他将这一博弈定性为苹果代表的“封闭集成模型”与 Meta 所倡导的“开放生态模型”(如 Llama 开源大模型与开放穿戴设备)之间的较量。Zuckerberg 指出,业界因 iPhone 的商业辉煌而产生了封闭系统必定胜出的近因偏见,但 PC 时代 Windows 的成功证明了开放模式的生命力。Meta 的核心目标是确保下一代计算平台由开放标准主导,让未来的年轻开发者不必向封闭生态的管理者“请求许可”。 本场现场对话展现了科技巨头在触及数千亿乃至万亿美元体量后,如何通过激进的技术下注对抗平台依赖与增长失速。尽管 Zuckerberg 坚信开放 AI 生态与全息智能眼镜将颠覆智能手机的统治地位,但 Reality Labs 的巨额资本支出能否在苹果等封闭巨头的防线下完成商业闭环,仍是 Meta 未来十年面临的最大不确定性。

Detailed notes — zh

## Background 该视频由知名商业播客《Acquired》于 2024 年 9 月 30 日发布在 YouTube 平台上。视频记录了其在旧金山 Chase Center 举办的万人售票现场秀完整实况,节目组携手 J.P. Morgan Payments,邀请了包括 Jamie Dimon、Daniel Ek、Emily Chang、黄仁勋以及压轴嘉宾 Mark Zuckerberg 在内的豪华阵容,共同庆祝播客创立九周年的重要里程碑。 ## TL;DR 整场活动分为三幕展开:首先由 Spotify CEO Daniel Ek 登台,用后台数据拆解《Acquired》纯靠口碑裂变的飞轮模型,并分享了 Spotify 从音乐跨界播客与有声书的“逆向豪赌”及谋定而后动的决策哲学;第二幕中,彭博社主持人 Emily Chang 与主播一同重估 YouTube 收购案、SpaceX、Starlink 以及 Taylor Swift 商业帝国的千亿估值逻辑,黄仁勋也通过视频澄清了他关于“若重来不创办英伟达”的真实心声;第三幕压轴对谈中,Meta 创始人 Mark Zuckerberg 深度复盘了 Facebook 从移动端转型阵痛到 2016 年政治误判的沉重代价,并系统阐述了 Meta 依靠极速反馈闭环打赢多次技术生死战的敏捷哲学,以及豪赌 Reality Labs、开源 Llama 迎战苹果封闭体系、掌控下一代计算平台的终极愿景。 ## Atmosphere & style 现场散发着硅谷顶级科技狂欢与大型摇滚演唱会交融的磅礴能量。开场乐队 Live 与台下数千名狂热极客听众的欢呼瞬间点燃了 Chase Center,而穿插其间的 NG 幕后花絮与自嘲式历史误判复盘,又让整场演出兼具老友聚会般的松弛与幽默。随着访谈逐步深入商业腹地,对话在顶尖创业者的残酷真实、思想交锋与战略推演中不断升温,既有深刻自省的凝重沉思,又有豪赌未来的浪漫野心,带给观众极度沉浸且震撼的视听体验。 ## Bulletin - [10:35](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=635s) Acquired 在旧金山 Chase Center 举办 6,000 人现场秀,Spotify CEO 丹尼尔·埃克透露节目在平台累计播放时长已破 500 万小时,过去一年收听量暴涨 3 倍且全靠口碑有机裂变。 - [01:13:12](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4392s) 马克·扎克伯格重申“不再道歉”,指出 2016 年后把政治极化误当企业公关危机全盘担责造成了长达 20 年的品牌代价,并表示 Meta 接下来将全力构建不受外部平台税与规则掣肘的下一代软硬件平台。 - [02:01:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7311s) 扎克伯格估算,如果 Meta 拥有自己的硬件平台,净利润可能是现在的两倍;未来 10 至 15 年科技界将迎来下一代计算平台(AI 与智能眼镜)的路线之争,Meta 致力于以开放生态击败苹果的封闭模式。 - [01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) 黄仁勋通过视频澄清当年的“绝不重开公司”言论:如果能提前预知全部痛苦,任何正常人都无法下定决心创立英伟达,创业者最宝贵的超能力恰恰源于某种对艰难前景的“无知”。 ## Key takeaways - [16:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=960s) Acquired 凭借超长深度商业案例打破了市场对播客 TAM 的狭隘预期,依靠听众间的自发安利形成零付费买量的有机翻倍飞轮。 - [18:20](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1100s) Spotify 的业务扩张经验表明,最具颠覆性的业务往往源自用户对现有系统的“反向侵占”(如德国唱片公司钻漏洞上传有声书促成播客和有声书板块)。 - [33:14](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1994s) Spotify 内部奉行“空谈很廉价(Talk is cheap)”的博弈推演哲学,在必须牵动传统版权工业的漫长授权周期下,宁可前期重度推演确保出手精准,而非盲目快速试错。 - [34:52](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2092s) 播客与有声书的统一入口证明了用户需求本质只是“听”,单一超级入口的分发效率远高于逼迫用户下载独立的垂直细分应用。 - [47:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2875s) Acquired 纠正 2016 年给 Google 收购 YouTube 打出 C 等的误判,将其更正为 A+,反思当年低估了深度学习推荐算法将工具属性转变为终极内容终点站的核爆威力。 - [55:45](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3345s) Starlink 仅商用三年全球订阅用户已突破 300 万户且实现盈利,在轨卫星占全球总数三分之二,单项业务价值已超过四年前整个 SpaceX 的估值。 - [57:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3475s) 泰勒·斯威夫特通过夺回母带版权、高利润率 Eras Tour 与绕开制片厂直达院线的三重飞轮,年产生自由现金流达 5.5 亿美元,本质是一座按现金流乘数估值的超级 IP 企业。 - [01:05:50](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3950s) 摩根大通支付日均流转资金达 10 万亿美元(占全球资金流转四分之一),正通过自研区块链网络 Onyx、嵌入式金融与对抗性 AI 防欺诈支撑全球现代商业底盘。 - [01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) 创业者对未来苦难的“无知”是其敢于迈出第一步的超能力,如果将英伟达 32 年面对的重压打包塞给 29 岁时的黄仁勋,他绝无勇气创办公司。 - [01:31:38](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5498s) Meta 的产品哲学与苹果的封闭打磨截然相反,扎克伯格将其比作回合制策略游戏,核心是通过“濒临尴尬”的尽早发版获得比对手多得多的回合数和极速反馈循环。 - [01:40:21](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6021s) Meta 的开源战略(如 Open Compute 与 Llama)兼具商业与防守考量:一方面通过开放标准降低全球硬件供应链成本,另一方面通过开源生态避免在下一代平台重蹈受制于 iOS 规则的覆辙。 - [01:43:59](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6239s) 2012 年 Facebook 在移动端下注跨平台 HTML5 遭遇滑铁卢,扎克伯格果断暂停全公司新功能开发整整一年全面重写原生 Native 架构,并顺势发明了信息流广告(Feed Ads)。 - [01:53:15](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6795s) 扎克伯格深刻反省 2016 年后误把复杂的极化政治问题当成企业公关危机来全盘担责,招致更猛烈的政治攻击,这一战略误判的品牌修复周期长达 20 年。 - [01:56:12](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6972s) 2006 年雅虎 10 亿美元收购危机导致高管几乎全员离职,促使扎克伯格痛定思痛筑起双重股权超级投票权高墙,为日后跨周期的长期主义豪赌提供治理保障。 - [02:01:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7311s) Meta 在 Reality Labs 上投入数百亿美元并不仅是追求财务回报,更是为了摆脱移动时代因苹果/谷歌平台税与规则限制导致的利润折损,彻底掌控自身软硬件命运。 - [02:04:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7440s) 扎克伯格将未来目标从单纯做“优秀(Good)”的实用社交工具,转向创造令人激动、对未来充满乐观的“惊艳(Awesome)”事物,并致力于为下一代计算平台打造开放生态。 ## Detailed walkthrough ### [00:02](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2s) 开场插曲与 Mike Taylor 现场演唱主题曲 在演出正式开始前,后台传来一段充满幽默感的简短对话。本·吉尔伯特(Ben Gilbert)与大卫·罗森塔尔(David Rosenthal)在幕后嘀咕着音频文件的事:本有些犹豫地问大卫,有没有带存着播客主题曲《Who Got the Truth》MP3 文件的优盘交给现场调音团队。大卫反问为什么自己要带优盘,并表示大概三周前就已经发过邮件了。本提醒道,外面可是坐着 6,000 名满怀期待的观众,大卫则安慰说团队很优秀,肯定能想出办法。 话音刚落,现场灯光骤亮,主题曲的原唱歌手 Mike Taylor 惊喜登台,直接带来震撼的现场乐队版《Who Got the Truth》。整座 Chase Center 瞬间沸腾。随着歌曲高潮推进,Mike Taylor 激情向观众喊话:“旧金山,请大声欢迎 Acquired 播客的主创——Ben Gilbert 与 David Rosenthal!”在雷鸣般的欢呼中,两位主持人走上舞台,同 Mike Taylor 击掌拥抱,并调侃道:“看,我们根本不需要优盘!” ### [02:38](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=158s) 摩根大通 CEO 杰米·戴蒙的视频致辞 两位主持人向全场热情的观众致意,并宣布了一位极其重磅的神秘开场嘉宾——摩根大通(J.P. Morgan Chase)董事长兼首席执行官杰米·戴蒙(Jamie Dimon)通过大屏幕视频向全场观众致辞。戴蒙欢迎所有人来到他最喜欢的球馆之一 Chase Center,并对摩根大通支付业务(J.P. Morgan Payments)与 Acquired 过去一年来的深度合作表示祝贺。他提到,Acquired 在商业深度叙事与传播顶尖企业经验方面做出了卓越贡献,现场许多观众不仅是听众,更是摩根大通的朋友和业务伙伴。虽然未能亲临现场,戴蒙向全场观众送上诚挚祝福,并将舞台交还给 Ben 和 David。 紧接着,主持人特别向摩根大通支付团队表达了由衷感谢,尤其是 CMO 达斯汀·塞德威克(Dustin Sedgwick)。Dustin 不仅是 Acquired 的长期忠实听众,更是推动促成本次 Chase Center 盛典的核心力量。Ben 感慨道,与 Dustin 以及 Hannah、Nick、Vinnie、Amy、Carly 等世界级营销团队合作,终于让他们这两个平时缩在地下室录音的家伙体会到了拥有强大专业团队支持是什么感觉。 ### [04:06](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=246s) 晚会架构与录音幕后花絮(NG 镜头) Ben 和 David 向观众介绍了当晚三幕式的特别结构:当晚不是一场普通的录音,而是一场真正的狂欢盛会,马克·扎克伯格(Mark Zuckerberg)将作为中场休息后的第三幕压轴登场,前两幕同样准备了丰盛的板块与重磅嘉宾。面对众多听众一直以来的好奇——“Acquired 平时到底是怎么录节目的?现场会原样录制一期吗?”大卫解释道,常规的一期节目他们通常要在家里连续录制 9 个小时,最终剪辑成 3 到 5 个小时的成片。为了彻底解开大家的疑惑,现场大屏幕播放了一段未经修剪的幕后录制花絮(Bloopers): - 录制超过 5 个半小时后,房间缺氧过热,两人抱怨“录到后面感觉脑子缺氧变笨”,不得不暂停去洗手间。 - 窗外经常被旧金山“蓝天使”(Blue Angels)飞行表演的轰鸣声打断,两人只能边喝香槟边无奈等待。 - 录制前先闲聊侃大山,发现“才扯淡了 9 分 40 秒就进入正题,简直创了新纪录”。 - 在讨论商业史细节时,两人不断推翻重来:“太琐碎了,叙事节奏太慢,听着完全不合理,整段全剪掉吧!” - 录了将近 40 分钟发现毫无进展,甚至记不清对方刚刚说了什么,大卫抓狂提议:“我们要不直接全部推翻重录吧,我的 RAM(内存)已经彻底耗尽爆掉了。” - 大卫被 Ben 提醒“你别再做那个奇怪的表情了”,以及两人不断卡壳、口误、循环念叨“Totally”的滑稽剪辑。 大屏幕上的花絮引得全场哄堂大笑。大卫借机向长期以来的音频剪辑师 Steven 致敬,感叹正是 Steven 每个月默默化腐朽为神奇,把长达 9 小时充满口误与停顿的混乱素材打磨成逻辑严密的经典播客。 ### [08:37](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=517s) 告别旧剧本:一场属于科技界与旧金山的狂欢 大卫表示,今晚他们决定彻底将过去的常规套路抛在脑后,把 Chase Center 变成一场科技界与旧金山湾区的大型派对。平时他们总是在深挖几十甚至上百年前的商业历史,但今晚他们要立足当下,聚焦当下正在重塑世界的最伟大企业。 回顾过去一年,Ben 和 David 感慨万千:在这一年里,两人的生活都迎来了重大变化,双双升级为人父;Acquired 登上了《华尔街日报》(The Wall Street Journal)的版面;播客更是迎来了爆发式的指数级增长。为了呈现一份别开生面的“播客发展年度国情咨文”,他们不想做成死板的单向 Keynote 汇报,而是决定请出一位极具分量的对话嘉宾——他既是 Acquired 的骨灰级铁粉,也是全球播客行业的领航者:Spotify 创始人兼首席执行官丹尼尔·埃克(Daniel Ek)。 ### [10:35](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=635s) 独家数据:Spotify CEO 丹尼尔·埃克登台复盘 Acquired 成长史 Daniel Ek 专程从斯德哥尔摩飞抵旧金山现场。走上舞台的他感慨这是全球规模最庞大的一次播客现场录制,并戏称 Chase Center 是一个“自带宏大回音的录音棚”。Daniel 透露自己从 2019 年起就是 Acquired 的忠实听众,亲眼见证了这档节目在过去 5 年间从极小基数成长为全球顶尖商业播客的壮举。为了帮两位不习惯自夸的主持人庆祝这一里程碑,Daniel 特意调取了后台数据,向全场展示 Acquired 的惊人成就: ```mermaid flowchart LR accTitle: Acquired 口碑裂变增长飞轮模型 accDescr: 展示节目完全依赖听众口碑推荐实现的逐年翻倍有机增长循环 A["高品质商业深度单集<br>(单集 3-5 小时深度研究)"] --> B["极高忠诚度核心听众<br>(高留存与长收听时长)"] B --> C["纯口碑推荐传播<br>(平均每位听众年推荐 1 人)"] C --> D["年均收听量实现翻倍<br>(零付费买量推广)"] D --> A ``` - **口碑增长模式**:自 2015 年创办以来,Acquired 从未进行过任何付费广告投放或买量推广,其增长曲线呈现纯粹的年复一年有机翻倍(Year-over-year organic doubling)。其背后的增长动力极为纯粹:一位老听众听完后向身边的一位朋友安利,该朋友留下成为新听众,由此形成极其稳固的裂变闭环。 - **收听时长里程碑**:仅在 Spotify 单一平台上,Acquired 的累计播放收听总时长就已突破 500 万小时(5 million hours),仅过去一年的收听量就暴涨了三倍。 - **时间换算**:经过现场测算,500 万小时的收听时间相当于人类历史中的 400 多年。Ben 幽默地补刀称,他们在地下室录制节目时的疲惫感觉,确实也像是录了 400 年之久。 ### [13:09](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=789s) Spotify 独家后台数据与粉丝爆发式增长 本场对话由几组耐人寻味的播客数据拉开序幕。在被问及最长单集记录时,两位主持人确认《微软(第二卷)》(Microsoft Volume 2)是他们有史以来时长最长的单集节目,甚至超过了著名的任天堂专辑。为了这次现场秀,节目组特意拜托掌控全球顶尖流媒体平台的丹尼尔·埃克(Daniel Ek)从 Spotify 后台调取所有播客创作者梦寐以求的核心数据。大屏幕展示的图表揭示了一个反常识的现象:单论每集下载量,Acquired 绝非大众认知里的“流量明星”或巨无霸,但凭借超长篇幅与极高的用户黏性,听众投入在节目上的累计时长惊人地庞大。 更为惊艳的是听众群体的“粉丝化”(Fandom)演变。数据显示,仅过去一年,Acquired 在 Spotify 上的关注者数量就暴涨超过 25 万人,年增长率达到三倍。主持人以“改邪归正的风险投资人”自嘲,在图表上圈出两大关键转折:其一,Spotify 强势进军播客赛道带来了巨大的增量红利,为整个行业创造了数以千万计此前从未听过播客的纯新听众;其二,2024 年 5 月《华尔街日报》发表专题报道后,图表曲线上出现了一个极其陡峭的“折点”(Kink)。在 Acquired 走过的近十年岁月里,单一外部媒介事件在后台数据上砸出如此明显的拐点尚属首次。 更令所有人始料未及的是全球化扩张速度。原本以为这档全英文、充满硅谷硬核商业分析的节目主要受众仅限于美英等英语母语国家,但数据却证明节目已经走向全球:墨西哥的收听量实现了整整 5 倍的爆发式增长,中国香港、以色列、新加坡等地的听众群体也在急剧攀升。面对主场 Chase Center 现场的 6000 名狂热观众,埃克打趣道两位主持人简直像巡演的摇滚明星,完全应该展开一场跨国世界巡回演出。 --- ### [16:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=960s) 播客媒介的演进与超乎预期的 TAM 破圈 埃克带领大家回顾了流媒体媒介格局的巨变:2019 年 Spotify 刚涉足播客领域时,平台内整个播客听众规模仅有寥寥数百万;而时至今日,在 Spotify 上收听播客的用户已超过 1.5 亿人。作为这波红利的典型代表,Acquired 既做到了触达广泛,又兼顾了内容深度的极致,埃克顺势向两位主持人抛出核心疑问:这一奇迹背后的成因究竟是什么? 两位创始人坦言,创办之初受风投职业病影响,他们反复计算过节目的潜在市场规模(TAM)。当时的设想极其狭隘:既然聊的是深度商业案例,TAM 大概就是全球商学院在读学生的总和;后来稍微放宽眼界,算上所有对商业感兴趣的人,估摸着撑死也就 100 万人。然而现实彻底打破了认知天花板: - **硬核叙事的通用吸引力**:尽管自封为“超级极客”、专注挖掘看似冷门晦涩的商业史,但其本质是极具感染力的伟大人类故事,普罗大众天然热爱听好故事。 - **硬件与文化的时代顺风**:2015 年踏入行业时纯属歪打正着并坚持打磨手艺,而过去十年无线耳机(AirPods 等)的全面普及,悄然重塑了现代人的文化习惯——如今在耳边花费数小时听他人专注聊一件事,已成为完全被大众接纳的生活常态。 --- ### [18:20](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1100s) 业务横向扩张之道:从音乐到播客、有声书的启示 谈到节目的未来演进,主持人指出,哪怕维持现有形态,只要保持一月一更的节奏并持续打磨产品,现有潜在市场就至少还有当前规模的 10 倍以上。核心矛盾在于:如何在不“杀鸡取卵”(Killing the golden goose)的前提下寻找业务增量?主持人索性将难题抛还给埃克——当年 Spotify 最初的定位仅仅是“Facebook 上的音乐播放器”,如今却已扩张成横跨音乐、播客与有声书的巨无霸平台。创业者究竟该如何在专注单一核心长板的同时,开拓新的邻域业务? ```mermaid flowchart TD accTitle: Spotify 邻域业务扩张路径 accDescr: 展示用户行为如何倒逼 Spotify 从音乐逐步拓展至播客与有声书业务的流程图。 subgraph UserBehavior["用户与机构行为倒逼"] A["德国唱片公司系统漏洞滥用"] --> B["上传有声书至音乐服务"] B --> C["资源耗尽后转而上传播客"] end subgraph ProductStrategy["Spotify 官方战略跟进"] C --> D["验证播客内容需求与供给"] D --> E["率先发力正式上线播客业务"] E --> F["顺理成章推出独立有声书业务"] end ``` 埃克的回答揭示了 Spotify 最真实的扩张秘密:**最颠覆的业务创新往往始于用户对系统的“反向侵占”**。 - **德国市场的有声书黑客行为**:当年官方尚未推出该业务时,德国的唱片公司就开始钻空子,将大量有声书当成音乐专辑上传到流媒体服务中。 - **倒逼业务演进**:当这批机构把有声书库存榨干后,又开始往平台上搬运播客音频。正是这种用户与版权方的野生自发行为,证明了播客是当时阻力最小切入点,促使 Spotify 率先全力切入播客赛道,随后水到渠成地正式推出了有声书服务。埃克借此向创作者建议:密切观察粉丝围绕现有内容正在自发做什么,那里往往就是扩张的最佳切入点。 --- ### [19:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1195s) 纯音频的魔力与视频化浪潮的博弈 围绕是否全面拥抱视频化,现场展开了一场观点交锋。埃克借机公开“催更”,极力劝说两位主持人将视频播客同步引入 Spotify。主持人则分享了长久以来的纠结:他们始终抗拒两个大男人在录音室对着镜头喋喋不休的“谈话大头贴”模式,但同时也反思过错失的视觉机会——比如用整整 4 个小时梳理爱马仕(Hermès)数百年的历史,全程却只有纯音频,某种程度上堪称视觉美学上的“犯罪”。 但在理念深处,主持人依然对长视频形式抱有疑虑,誓言要“一边大喊大叫一边被拖进视频化时代”。因为音频具有独一无二的伴随性特权: - **不抢占完全注意力**:受众即便日理万机,也愿意留出漫长的时间,是因为收听时可以同时跑步、割草、驾车或做家务。 - **长视频的注意力门槛**:主持人很难确信有多少人有精力和意愿在屏幕前老老实实坐上 4 个小时看视频。 埃克对此提出了截然不同的反思。他坦言自己最初也曾对长视频的价值表示怀疑,但现实是年轻一代用户的消费习惯已经彻底改变。新生代受众早已模糊了音频与视频的边界,他们看视频播客并非为了逐帧研究镜头语言,而是追求一种与创作者更贴近的“现场在场感”与亲密关系,哪怕只是片段式地跳进跳出、或者看现场爆出的花絮糗事。这种人与人之间的情感连接,正是数千人今晚愿意齐聚球馆的核心动力。 对话尾声,主持人提前走漏风声,透露今晚演出结束后即将录制的一期常规节目,其主题正是现场另一位重磅嘉宾马克·扎克伯格(Mark Zuckerberg)身后的科技巨头 Meta(“一家总部位于门洛帕克的科技公司”),并感慨他们从马克身上学到的最大教训之一,就是在面对时代巨变时,永远不要对企业当前的固有形态与初始愿景执念过深。 ### [22:59](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1379s) 硅谷烧烤派对、邀请码硬通货与扎克伯格的音乐梦 Ben 和 David 聊起 Spotify 与 Facebook 早期密不可分的关系。当年 Spotify 借由 Facebook 的社交网络一跃而起,如今已成长为全球最大的播客平台,显然 Daniel Ek 并没有固执死守最初的单一设想。当被问及当年何时意识到 Facebook 会成为 Spotify 不可思议的增长引擎时,Daniel 透露了一段鲜为人知的往事:其实在创办 Facebook 之前,Mark Zuckerberg 自己就曾尝试做过一个音乐创业项目,最后得出的结论是“这事儿太难做了”。当时硅谷几乎所有顶尖创业者都试水过音乐领域,扎克伯格一直对社交音乐产品充满执念,两人初次接触时,扎克伯格就极力主张 Spotify 应该变得更具社交属性。 两人的相识是由 Napster 创始人兼 Facebook 首任总裁 Sean Parker 牵线搭桥的。Sean 对扎克伯格说:“你必须见见这位来自瑞典的创业者。”大约在 2008 或 2009 年,扎克伯格当时还住在一栋极不起眼的小房子里,Daniel 受邀去他家参加了一场烧烤派对,两人一见如故,开始头脑风暴探讨如何把音乐变得更社交化。那时 Spotify 甚至还没有在美国上线,其早期在硅谷走红的秘密武器正是精准定点投放——一次只向核心 KOL 发放一个账户。当时 Sean Parker 把这些内测邀请码当成了顶级的“社交货币”(social currency),硅谷名流们为了拿到一张邀请码争得不可开交。 拿到测试资格的扎克伯格在 Facebook 上公开发布了一条状态:“Spotify 太好用了(Spotify is so good)。”一时间整个硅谷科技圈彻底沸腾,所有人都在四处打听如何才能进入这个神秘俱乐部的内测。 ### [25:59](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1559s) 从信息流听歌动态到“Jam”:重新定义音乐的社交属性 受到类似早年 ICQ 在线状态更新的启发,Daniel 和扎克伯格一拍即合,决定打造一款能实时查看好友正在听什么音乐的功能,并将其与 Spotify 进军美国的发布会同步推出。彼时的 Facebook 信息流(News Feed)才刚刚诞生不久,用户在刷动态时,好友通过 Spotify 正在播放的曲目会直接推送到信息流中。这项实时显示好友听歌动态的右侧边栏(Friend Activity)甚至保留至今,成了 Spotify 桌面端存在了十三年的经典功能。 然而,今天的普通用户提起 Spotify,首先想到的是便捷获取音乐、播客和有声书的工具,而非一个“社交平台”。面对 David 关于何时放弃“社交执念”的追问,Daniel 纠正道,音乐的社交属性依然极其关键,只是产品切入点需要重构。团队后来意识到,单纯在信息流里被动围观所有好友在听什么,并不是正确的社交形态;真正的社交痛点在于“协同共享”。 为此,Spotify 研发推出了高速增长的实时同听功能“Jam”。无论是在线下派对上大家不用抢同一个手机、而是加入同一个 Jam 房间共同排队点歌,还是在疫情期间异地相隔的用户通过同步听同一首歌维系情感联结,“Jam”把传统线性广播电视那种“天涯共此时”的仪式感带回了流媒体音乐。与此同时,Facebook 也逐渐告别了那段全网基于实时状态打通各路应用的旧时代——当年甚至连 Zynga 开发的《FarmVille》这类社交游戏都能撑起 Facebook IPO 时超过 10% 的总营收。 ### [29:16](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1756s) 从扎克伯格身上学到的管理课:终身学习与高密度大盘点 由于当晚晚些时候 Mark Zuckerberg 也会登上同一个舞台,主持人们笑称这是在台上提前做尽调,并询问 Daniel 这位并肩作战超过十五年的战友身上有哪些值得借鉴的管理智慧。Daniel 毫不犹豫地评价称,扎克伯格是他见过“最卓越的学习者”(the best learner I've ever seen)。很多时候你跟他讨论一个他不甚了解的话题,到了下一次见面,他对该领域的认知就已经彻底超越了绝大多数所谓的行家里手。这种近乎偏执的求知欲和学习耐力,深刻贯穿于 Meta 的日常管理与快速迭代之中。 另一个让 Daniel 印象极其深刻的细节是扎克伯格的开会管理机制。Daniel 本人更倾向于组织人数较少、小巧紧凑的小型会议;而扎克伯格主持的常规会议往往多达 15 到 20 人。能在这样规模的庞大评审会(product review)中既保持高产高效,又能确保在场的每个人都被充分倾听,扎克伯格在这方面展现出了非同寻常的组织把控力。 ```mermaid flowchart LR accTitle: Daniel Ek 与 Mark Zuckerberg 两种管理风格对比 accDescr: 对比展示 Daniel Ek 的小规模深思熟虑会议风格与 Mark Zuckerberg 的多人员高效评审会机制。 subgraph DanielStyle ["Daniel Ek 的协同模式"] D1["小团队深度研讨"] --> D2["深思熟虑、谋定后动"] end subgraph ZuckStyle ["Mark Zuckerberg 的协同模式"] Z1["15-20 人大评审会"] --> Z2["极致好奇与惊人学习速度"] Z2 --> Z3["快速吸收反馈与高频迭代"] end ``` ### [31:01](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1861s) 极度好胜者的生存法则:“谋定而后动”的棋局哲学 聊到管理作风时,主持人们一针见血地指出:Daniel 表面上看起来温和谦逊、轻声细语,但骨子里其实是个极具攻击性的“凶猛竞争者”(fierce competitor),他和扎克伯格一样都是极具战略眼光的棋手。面对这种评价,Daniel 幽默地坦言,自己和扎克伯格相处的第一法则是“绝不与他展开正面竞争”,因为那注定会以两败俱伤收场。比如扎克伯格极其热爱体育竞技,但 Daniel 坚决拒绝和他打球:“你瞧他上次为了赢球甚至撕裂了自己的前交叉韧带(ACL)都不肯认输,下场实在太惨烈了;我这人只打自己有把握赢的仗。” 这种竞争哲学恰恰映射出 Spotify 能够杀出重围的底层逻辑:在许多前人折戟沉沙的数字音乐泥潭里,保持难以置信的韧性,耐心地隐忍蛰伏、等待窗口期,只在自己胜券在握的棋局里果断全力出击。Daniel 透露,今晚就坐在后台的 Spotify 首席产品官兼首席技术官 Gustav Söderström 经常在内部强调一句话:“空谈很廉价(Talk is cheap)”。外界常常将快速行动与执行力挂在嘴边,但 Spotify 反而在前期投入巨量的时间去推演、辩论与深入沟通,确保在真正扣动扳机之前,看清整盘棋局的每一个落子点。 ### [33:14](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=1994s) “空谈成本低”:Spotify 谋定而后动的决策哲学 在硅谷奉行“快速行动,打破常规”(Move fast and break things)的信条之下,Daniel Ek 提出了一个截然相反的内部准则:“空谈成本极低”(Talk is cheap)。对于许多新加入 Spotify 的员工来说,这种文化最初往往令人极为困惑——大家摩拳擦掌期待立刻动手写代码、搞执行,却发现团队还在开会反复推演、用博弈论(Game theorizing)反复模拟各种可能发生的局面。Daniel 坦言,外人通常低估了真正构建和交付功能所需耗费的庞大成本,而讨论的资源损耗相比之下其实微不足道。Spotify 如今已在全公司范围内将这套辩论与推演机制沉淀为高度体系化的方法论。 这种克制而审慎的决策风格并非凭空产生,而是被流媒体行业的客观残酷现实逼出来的。Daniel 解释道,与纯软件初创公司可以随心所欲快速试错、小步迭代完全不同,Spotify 任何一次产品变革都必须拉动整个音乐版权工业同行。很多时候,哪怕只是产品端一个相对简单的改动,由于牵涉版税结算与复杂的商业授权协议,团队可能要耗费一到两年的漫长时间去跟唱片公司谈判拿授权。面对如此高昂的试错代价,“你最好在一开始就确保自己是对的”。主持人打趣称 Spotify 简直就是“反快速失败、反打破常规、反先发布后迭代”的集大成者,Daniel 笑着回应,虽然团队依然希望具备发布与迭代的能力,但在节奏上,Spotify 注定无法成为动作最快的那一个,但胜在出手必求精准。 ```mermaid flowchart TD accTitle: Spotify 决策模式对比 accDescr: 对比传统硅谷软件公司的迭代模式与 Spotify 谋定而后动的重度博弈模式 subgraph FastFail["传统硅谷模式 (Move Fast)"] A1["产生产品点子"] --> A2["快速写代码上线"] A2 --> A3["线上跑崩/试错迭代"] end subgraph Deliberate["Spotify 审慎模式 (Talk is Cheap)"] B1["提出商业构想"] --> B2["团队深度辩论与博弈推演"] B2 --> B3["与版权行业多方漫长授权谈判"] B3 --> B4["高确定性落地并一举做成"] end ``` ### [34:52](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2092s) 播客逆向豪赌:三年登顶全球第一背后的产品逻辑 回顾 Spotify 进军播客的历程,主持人 Ben Gilbert 指出,Spotify 直到 2019 年才正式入局,但在极短时间内便颠覆了苹果一家独大的市场格局。Daniel 回忆道,转折点大约在 2020 至 2021 年间在部分区域市场显现,而到了 2022 年,Spotify 已经在全球绝大多数主要国家稳坐播客头号分发平台的宝座。从正式发力到全面登顶,仅仅用了三年时间。对于一家向来以深思熟虑、节奏缓慢著称的公司来说,这种火箭般的扩张速度甚至超出了常规认知。 Daniel 透露,这一壮举的核心在于一场打破行业共识的“逆向豪赌”(Contrarian bet)。在 2019 年前后,科技界的普遍共识是“垂直应用必须分立”,外界坚信用户需要一个专门听音乐的 App 和一个完全独立的专用播客播放器。然而 Spotify 得出的结论却极为朴素:对用户而言,归根结底“听就是听”(It's just listening)。既然 Spotify 已经拥有数亿(如今已远超 5 亿)高度忠诚的音频受众,且后台数据显示音乐听众本身就在大量收听播客,那么最符合人性的做法绝不是逼他们去下一个新 App,而是直接在现有体验中向他们分发优质的长音频内容。同样的逻辑随后又在有声书(Audiobooks)领域再次复刻。 - 行业传统思维:音乐与播客是两种截然不同的媒介形态,必须由专门的独立客户端分别承载。 - Spotify 的逆向洞察:用户的本质需求只是“听”,统一入口能够极大降低心智负担并放大推荐价值。 - 平台用户飞轮:从当时数亿的基础盘到如今超 5 亿活跃用户,单一音频超级入口使跨品类分发效率最大化。 ### [36:48](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2208s) 倾听有机信号:从德国“稀烂体验”中孵化出的超级业务 面对平台是否会因“硬塞内容”而反噬音乐核心体验的追问,Daniel 总结出了一条至关重要的产品真理:在 Spotify 的历史上,凡是管理层从上至下(Top-down)强行规划的雄心壮志,几乎最终都以失败告终;相反,几乎所有真正带来突破的超级业务,最初都是团队在平台上敏锐捕捉到了用户自发行为的“微弱萌芽”(Inklings)。平台要做的事情从来不是无中生有,而是顺水推舟将其做大。 德国市场便是这一逻辑最戏剧化的实验场。早在 2018 年,Spotify 甚至还没正式推出有声书功能时,运营团队就震惊地发现,德国最热门的“音乐单曲榜”上竟然赫然出现了大量有声读物。当时在 Spotify 听书的体验简直是一场灾难——书籍被拆分成几百首毫无上下文的短音轨混在音乐播放列表里,既无法记录阅读进度也缺乏章节导航。但就是在这种近乎折磨的体验下,德国用户依然硬生生把 Spotify 捧成了当地最大的图书分发平台之一。正如 Daniel 所说:“当你的产品体验明明烂到令人发指,却依然被用户疯狂使用时,你就知道自己肯定抓住了某种非同寻常的真需求。”("When your product is being used in spite of it actually being a pretty terrible experience, you kind of know you've got something.")正是这一反常信号,坚定了管理层全力开辟有声书板块的决心。随着访谈结束,Daniel 欣然表示会继续留在现场欣赏后半场的重磅对话。 ```mermaid flowchart LR accTitle: 自下而上的产品孵化机制 accDescr: 展示 Spotify 如何从用户自发的反常行为中发现真正的市场需求 A["平台数据异动<br/>(2018年德国榜单出现有声书)"] --> B["反常事实确证<br/>(体验极差但使用量极高)"] B --> C["验证刚性需求<br/>(证明具备极高用户心智)"] C --> D["官方自上而下<br/>系统性重构与全面推广"] ``` ### [38:41](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2321s) 赞助商时刻:Statsig 如何将 Meta 的工程加速神器民主化 在重量级嘉宾 Mark Zuckerberg 登台前,主持人借势引出了本场活动的赞助商 Statsig。Mark 最广为人知的座右铭莫过于“快速行动,打破常规”,但外界常常忽视的一个事实是:尽管 Facebook 的工程师们每天都在以惊人的速度提交代码并发布新特性,这家庞然大物却极少真正发生全面宕机。这种惊人敏捷性背后的真正秘密,是 Meta 内部斥资数十万工程小时打造的全套底层基础设施。这套系统让任何一名工程师都能随时设置业务指标、上线实验并实时监控影响,即便代码出错也能依靠完备的数据护栏瞬间安全回滚。 由前 Meta 资深工程团队创立的 Statsig,正是为了把这种顶级科技巨头专属的“工程超能力”普及给全行业。作为全球首个产品加速平台(Product Acceleration Platform),Statsig 在单一控制台中无缝整合了四大核心组件: - **功能开关(Feature Flags)**:实现针对特定用户群体的动态灰度发布与秒级安全回滚。 - **产品分析(Product Analytics)**:实时追踪用户行为漏斗与产品交互转化。 - **A/B 实验(Experimentation)**:以严格的统计学显著性评估新功能对核心商业指标的净影响。 - **可观测性(Observability)**:在指标产生任何负面异动时第一时间自动告警并定位根因。 目前,包括 OpenAI、Microsoft、Notion、Anthropic、Figma 在内的诸多行业巨头,以及数千家快速成长的初创企业,均依托 Statsig 的实验底座实现高速迭代。 ### [40:34](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2434s) 赞助商时刻:Crusoe 与 AI 算力背后的工业硬核力量 随后,主持人介绍了另一家深度重塑 AI 产业格局的合作伙伴——Crusoe。大众往往将当前的人工智能热潮浪漫化为 OpenAI、Meta 或 Anthropic 的算法专家们在办公室里调节模型权重;但现实中,模型训练指令按下之后的底层支撑,是一场极其宏大的重工业史诗。那是由钢铁、管道、线缆、高压配电、流体冷却系统以及成百上千名奔波在极端环境中的建筑工人、电工与管工所构建的物理世界。 Crusoe 的突破性创新在于将清洁能源开发与高性能 GPU 数据中心直接结合。他们深入全球自然环境最恶劣、常规管网无法触及的偏远区域,就地捕获那些原本只能被白白浪费、甚至被直接燃烧排放到大气中的“搁浅能源”(Stranded Energy,例如油气开采伴生气),就地转化为廉价的高密度电力来驱动智算中心。正如 Mark Zuckerberg 在后续对话中着重强调的,当前阻碍人工智能前沿探索的真正瓶颈已不再是计算芯片本身,而是电力能源的极限。Crusoe 在其开发管线中已经锁定了数千兆瓦(GW,相当于数座核反应堆量级)的零碳乃至负碳电力供应,不仅在成本上远低于传统超大规模云厂商(Hyperscalers),更从底层破解了 AI 算力扩张与碳排放之间的巨大矛盾。目前企业既可以直接采购其全托管 AI 云平台(Managed AI Cloud),也能作为大型数据中心租户直接接入其能源基础设施。随着赞助环节告一段落,现场舞台开始为当晚的后续重磅嘉宾做最后的准备。 ### [43:16](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2596s) 第二幕开场:特邀嘉宾 Emily Chang 登场 现场演出进入第二幕(Act Two)。Ben Gilbert 和 David Rosenthal 聊起筹划今晚演出时的构想:面对现场满座的铁杆听众,不必凭空猜测大家想听什么,只要翻翻《Acquired》平时的听众来信收件箱便一目了然。来信中最多的诉求第一是点播新选题,第二大类则是各种抗议与呼吁——“你们当年做那期节目时判断彻底错了,必须纠正!”或者“那期节目之后发生了太多大事,你们必须做个追踪更新!”于是两人决定在现场来一轮“速通复盘”,挑选三四个最具争议的历史单集当场推翻或重估,现场修正《Acquired》的“正史典籍”(Acquired Canon)。 为了彻底“拷问”两位主播当年那些离谱的误判,他们请来了最理想的拷问官——常驻旧金山、来自彭博社(Bloomberg)及科技商业访谈节目《The Circuit》的主持人 Emily Chang。伴随着全场欢呼与拥抱,Emily 登台亮相。三人一坐下,Ben 便迫不及待向 Emily 打听一手八卦,当作为当晚重头戏 Mark Zuckerberg 提前做背景调研:Emily 曾与扎克伯格一起去玩尾波冲浪(wake surfing)。在全网疯传的美国国庆日视频中,扎克伯格身穿燕尾服、手握啤酒与美国国旗在水面驰骋,令人称奇的是他身上的礼服竟然全干。Ben 困惑地请教技术细节:普通人冲浪都得先泡在水里再被游艇拉起,他究竟是怎么做到干身起滑的?Emily 揭秘称,这属于高难度的“干式起跳”(dry start),水平极高的人可以直接抱着滑板从游艇甲板上顺势跃入波浪起滑,她亲眼目睹了这一幕,并赞叹扎克伯格和妻子 Priscilla Chan 的冲浪技术都相当精湛。 --- ### [46:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2768s) 历史耻辱柱:2016 年给 Google 收购 YouTube 打出“C”等 Emily 随即切入正题,赞许两人具有极强的自省精神。早期的《Acquired》每期都会对商业收购案进行评级打分,虽然踩中不少亮点,但也留下过一些令人瞠目结舌的翻车现场。Emily 翻出的第一笔旧账便是 2016 年对 2006 年 Google 以 16.5 亿美元收购 YouTube 案的评级:当时 David 给出了“C”,而 Ben 甚至认为这笔交易糟糕到可以打“C-”。 Emily 当场念出了当年两人的原话公开处刑: - Ben 当年直言:“我对 YouTube 有点看空,主要是因为它根本不是一个终点站(destination)。” - David 当年更是补刀:“有谁会闲着没事主动打开 YouTube 去‘发现’新内容啊?” 面对黑历史,两人苦笑着“伏剑自首”,解释当时他们才刚刚起步、年少无知。在那个年代,YouTube 确实更像一个底层工具组件——用户把视频上传上去,主要目的是为了复制一段嵌入代码放到自己的独立博客或网站里,几乎没有人会像今天刷手机一样,把 youtube.com 当成晨间资讯的必经第一站。 ```mermaid flowchart TD accTitle: 推荐算法驱动的平台演进 accDescr: 展示 YouTube 从单纯的视频嵌入工具演进为算法驱动的内容终点站的过程 subgraph Past["2016 年以前的工具属性"] U["用户上传视频"] --> E["生成嵌入代码"] E --> W["嵌入第三方网站/博客"] end subgraph Present["现代算法驱动的终点站"] G["采购 GPU 算力集群"] --> AI["训练 AI 推荐系统"] AI --> F["打造千人千面内容信息流"] F --> D["成为全球第二大搜索与社交终点站"] end ``` --- ### [47:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2875s) 认错与归因:错判了 AI 推荐流的核爆级威力 深入反思当年的误判,Ben 和 David 指出他们漏掉的核心变量是**AI 与社交媒体信息流推荐算法**的爆发。就在他们录制那期节目的节点上,Google 内部的 YouTube 团队以及 Meta(当时的 Facebook)正在疯狂采购 GPU、部署前沿深度学习架构来重构信息流推荐系统。 那场发生在十年前的 AI 基础设施革命,直接将原本只具备工具属性的视频库,重塑成了能够无休止沉淀用户时长的终极内容终点站。当时两位主播并未预见到,AI 在“预测并精准分发你下一秒想看什么”这一杀手级场景上会爆发出如此巨大的商业威力。 - 如今华尔街分析师普遍认为,如果将 YouTube 从 Alphabet 剥离单独上市,其独立估值可高达 5000 亿美元,几乎是 Netflix 市值的两倍。 - YouTube TV 正稳步迈向全美第一大有线电视订阅服务商的位置,同时牢牢统治着普通家庭客厅的“第一大屏”与移动端的“第二大屏”。 --- ### [49:15](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2955s) YouTube 的商业模式现实与终极战略评级翻盘 面对这一庞然大物,David 提出了他们当年唯一站得住脚的辩护角度:YouTube 的真实盈利能力一直是个谜。Alphabet 在财报中仅披露 YouTube 的广告营收,却从不公布其营业利润。 - 收购案节目制作时(2016年),YouTube 年化营收约为 50 亿美元,且当时严重亏损,宛如一个深不见底的吞金兽; - 如今 YouTube 年化营收已跃升至 350 亿至 400 亿美元之间。 然而,YouTube 的商业模式与传统流媒体截然不同:在分成机制下,YouTube 将长视频广告收入的 55%、短视频 Shorts 广告收入的 45% 直接分发给创作者。过去三年间,YouTube 累计向创作者支付了高达 700 亿美元的分成,这一资金体量直接超过了 Netflix 同期的全部内容采购与制作预算。每赚进一美元就要分走大半作为可变成本,从独立企业财务指标来看,其利润空间其实极薄,甚至可能常年游走在盈亏平衡线边缘。 然而从宏观战略角度考量,二人一致将 YouTube 的历史评级更正为毫无争议的 **A+**。 - 它既是全球仅次于 Google 的第二大搜索引擎,也是全球第二大社交网络,更构成了当今 AI 训练视频语料的核心护城河。 - 评估 YouTube 的价值绝不能仅仅采用传统折现现金流(DCF)模型,而必须看到它为 Google 消除了何等致命的“生存级威胁”——如果 YouTube 崛起在 Google 生态之外,对搜索巨头的打击将不可承受。 - 谈及创作者生态,主播们也深有感触:依靠算法推荐的平台上,创作者的粉丝订阅量与单期播放量几乎失去必然联系;然而正因为 YouTube 慷慨且持久的分成体系,所有创作者最终都渴望“毕业”并沉淀在 YouTube。 --- ### [52:09](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3129s) 领英收购案复盘:闷声发大财的千亿级资产 随后,Emily 将话题引向下一个复盘案例:微软于 2016 年以 262 亿美元收购领英(LinkedIn)。当时在交易宣布仅仅三天后,《Acquired》便紧急上线了一期节目,两位主播当时双双打出了“A”级的高分。然而随着时间推移,他们曾一度吃不准这起整合的后劲是否充足。 从如今的数据来看,领英的表现远超当年外界最乐观的预期: - **营收翻五倍**:被微软收购八年来,领英的年营收已突破 160 亿美元,较收购之初实现了 5 倍增长。 - **全新广告引擎**:如今领英仅广告与内容业务的年收入就超过 50 亿美元,而在收购发生时这块业务几乎不存在。 - **高价值商业转化**:对《Acquired》自身的运营而言,领英平台的关注者数量虽然与其他社交网络持平,但商务与内容互动的转化率却高出 5 到 10 倍,成为节目最具价值的宣发阵地。 主播们总结道,8 年内营收增长 5 倍在整个科技史上虽算不上偏离均值三四个标准差的神话,但如果今天将领英从微软剥离为一家独立上市公司,以其高粘性的 B2B 属性与健康现金流,其市值必将突破 1000 亿美元。微软当年看似激进的下注,实际上安安静静地在其生态内部孵化出了千亿美元级别的超级巨头。 ### [54:02](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3242s) Emily Chang 亲历微软收购 LinkedIn:晨间突发与“二次创业者”纳德拉 Emily Chang 回忆起当年微软收购 LinkedIn 时的情景,直言那场交易对她来说“甚至带有一点创伤色彩”。这场轰动业界的重磅并购事先毫无泄露,没有任何媒体提前拿到风声。收购公布当天清晨天还没亮,Emily 的制作人便疯狂连环夺命 call;因为她没接电话,制作人索性打给了她丈夫。丈夫冲进卧室叫醒她喊道:“微软刚刚把 LinkedIn 买了,你必须在一个小时内去连线专访萨提亚·纳德拉(Satya Nadella)和杰夫·韦纳(Jeff Weiner)!”Emily 带着尚未打理好的头发仓促赶赴现场完成直播,好在专访反响相当出色。 针对这场历史性并购,Emily 带来了与 LinkedIn 联合创始人里德·霍夫曼(Reid Hoffman)的最新交流。霍夫曼不仅加入了微软董事会,更是 OpenAI 的早期投资人兼前董事会成员,而曾任 LinkedIn 高管的凯文·斯科特(Kevin Scott)如今也担任微软 CTO。霍夫曼对纳德拉的领导力给予了极高赞誉,称其为微软的“二次创业者”(refounder)甚至是“后期联合创始人”——二次创业者并不一定非要从第一天起就呆在车库里。纳德拉彻底扭转了微软昔日残酷内耗、只重零和竞争的对抗性文化,带领公司全方位拥抱社交网络、开放协作、云计算以及新一波 AI 浪潮。Ben 和 David 调侃道,不知萨提亚当年是否认真听了他们录制的微软三部曲播客,才让这场 AI 大战呈现出今天的走势。 --- ### [55:45](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3345s) SpaceX 与 Starlink 的超级跃进:从天方夜谭到太空巨兽 随后话题转向 Acquired 历史上最受欢迎的单集之一——SpaceX。尽管 Acquired 后来取消了每集为企业打分(Grading)的环节,但 Emily 依然要求两位主持人重新评估 SpaceX 的惊人进化。在 2020 年 5 月录制那期节目时,SpaceX 的估值为 360 亿美元,当年成功完成 26 次火箭发射;而到了去年,其发射次数暴增至 96 次,今年更是计划执行 118 次发射任务,相当于平均每三天就有一枚火箭升空,超过每周两发。 更具颠覆性的是卫星互联网业务 Starlink(星链)。在当年录制节目时,星链还停留在天马行空的纸面构想阶段;如今仅商用三年,其全球订阅用户已突破 300 万户,2024 年预估收入高达 65 亿美元并已实现全面盈利。在近地轨道运行的 7,000 多颗星链卫星,已占到环绕地球全部活跃卫星总数的三分之二。 ```mermaid flowchart TD accTitle: SpaceX业务双轮驱动结构图 accDescr: 展示SpaceX火箭发射业务与Starlink卫星互联网业务的核心运营指标与估值变迁对比。 subgraph Launch["火箭发射业务 (2020 -> 2024)"] L1["2020年: 26次发射/年"] --> L2["2024年计划: 118次/年<br/>(每3天1次)"] L3["承担NASA宇航员返回等不可替代任务"] end subgraph Starlink["Starlink 星链业务 (爆发式现金流)"] S1["7,000+ 颗在轨卫星<br/>(占全球卫星总数 2/3)"] S2["300万+ 全球活跃订阅用户"] S3["2024年预估收入 65亿美元<br/>(业务已实现盈利)"] end subgraph Valuation["企业价值重构"] V1["2020年5月全公司估值: 360亿美元"] V2["当前仅 Starlink 独立价值已远超360亿美元"] end Launch --> Valuation Starlink --> Valuation ``` 两位主持人赞叹道,当下不仅全球商业与个人用户对星链有着难以满足的刚需,面对此前滞留国际空间站(ISS)的 NASA 宇航员救援任务,SpaceX 更是成为了西方世界独一无二的托底力量。仅仅 Starlink 单项业务的实际价值,就已经远超四年前整家 SpaceX 的总估值。 --- ### [57:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3475s) 拆解“泰勒·斯威夫特公司”:流媒体破局与破纪录的 Eras Tour 讨论进行到全场观众呼声最高的“重访”对象——“体育场女王”泰勒·斯威夫特(Taylor Swift)。两年前 Acquired 在节目中为她打出了 A+ 的神级评分,但那是发生在席卷全球的 Eras Tour(时代巡回演唱会)之前。当时《福布斯》估算其净资产仅为 5.5 亿美元左右,但根据 David 的最新财务测算,斯威夫特在过去 12 个月内创造的自由现金流(Free Cash Flow)就已经达到了惊人的 5.5 亿美元。 针对“泰勒·斯威夫特公司”(Taylor Swift Inc.)的底层财务逻辑,David 梳理了三大核心吸金飞轮: 1. **流媒体版税彻底打破“不赚钱”神话**:业界过去常认为流媒体分成微薄(以往传闻她每年流媒体收入不足 500 万美元),但仅在 2023 年,斯威夫特从 Spotify 单一平台获得的版税分成便大幅超过 1 亿美元(这还不包括 Apple Music 等其余平台)。更关键的是,通过重录早期专辑夺回母带(Masters)版权的策略,流媒体播放产生的分成绝大部分无需被中间唱片公司盘剥,直接转化为极高毛利的净收入,这一项就已经让她的年收入凌驾于绝大多数好莱坞巨星和职业运动员之上。 2. **Eras Tour 工业奇迹**:2023 自然年内,该巡演的总票房收入达到约 11 亿美元,一举打破了此前业内需历时数年才能勉强跨越的 10 亿美元历史纪录。假定巡演以极高效率运作、拥有 30% 至 35% 的营业利润率,巡演本身每年便能额外贡献 3 亿至 3.5 亿美元的真金白银。 3. **绕开好莱坞传统发行的超级院线大电影**:巡演纪录电影斩获 2.67 亿美元全球票房,成为影史最卖座的演唱会电影。斯威夫特跳过传统好莱坞制片厂中间商,直接与影院线对接,随后又以 7,500 万美元将流媒体播放权直售给 Disney+,单此衍生项目就落袋超 3 亿美元。 --- ### [01:03:10](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3790s) 估值大辩论:斯威夫特能否享有迪士尼级别的 20 倍现金流乘数? 在展示了斯威夫特令人瞠目的盈利机器后,现场焦点落在了她是否已达“峰值泰勒”(Peak Taylor),以及应如何为这样一家独一无二的“内容企业”进行资本市场估值。 David 提出了一个激进的模型:伟大的内容 IP 集团(例如迪士尼)在二级市场上通常能享有约 20 倍的自由现金流估值乘数(20x P/FCF)。如果以斯威夫特当前每年约 5.5 亿美元的自由现金流为基准,套用 20 倍乘数,“泰勒·斯威夫特公司”的企业价值(Enterprise Value)理应高达 110 亿美元,而《福布斯》目前对其净资产的评估仅停留在 11 亿美元左右。加上她眼下与 NFL 球星特拉维斯·凯尔斯(Travis Kelce)恋情引发的破圈狂潮,其文化号召力正处于巅峰。 然而,Ben 对此提出了强烈异议。Ben 指出,将一家经历过百年风雨考验、拥有极其庞大且多元化 IP 资产库的迪士尼,直接拿来作为单一艺术家的可比公司(Comp),在金融逻辑上是站不住脚的。个人艺术家的创作生命力具有高度的单一关键人风险,且不可盲目把极度异常的爆发年份(Outlier Year)作为长期稳态现金流直接乘以 20 倍。 不过双方在一件事上达成了深刻共识:外界和媒体在评估这类超级巨星的身家财富时,普遍犯了静态相加的错误,骨子里依然在使用“1倍乘数”将其看作普通的个人,而完全忽视了他们本质上是一座持续产生澎湃自由现金流的现代化超级 IP 商业帝国。 ### [01:04:49](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3889s) 泰勒·斯威夫特与“时代巡演”:我们到达“巅峰泰勒”了吗? 艾米莉·张(Emily Chang)在台上结束了关于泰勒·斯威夫特(Taylor Swift)商业帝国的探讨。她指出,泰勒根本不需要把大笔现金闲置在银行里,因为她年复一年展现出了令人惊叹的资本回报能力。谈及公众最关心的问题——“我们现在是否已经处于‘巅峰泰勒’(Peak Taylor)?”艾米莉联想到自己登台前场内播放的滚石乐队(The Rolling Stones)经典歌曲《Start Me Up》,直言泰勒就是这个时代的滚石乐队。 至于眼下震撼全球的“时代巡回演唱会”(The Eras Tour)究竟是巅峰还是仅仅是个开端,艾米莉幽默地表示:“为了我自身的人身安全着想,我还是说我们绝对还没到‘巅峰泰勒’吧——只要聊到泰勒,选择站在她这边永远是最稳妥的下注。”艾米莉向全场宣布,官方认证的结论是:Acquired 必须尽快再录一期泰勒·斯威夫特专题节目。在全场的欢呼与掌声中,艾米莉向观众道别退场。 --- ### [01:05:50](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=3950s) 摩根大通支付(J.P. Morgan Payments):全球每天流转 10 万亿美元的金融底座 送走艾米莉·张后,大卫·罗森塔尔(David Rosenthal)与本·吉尔伯特(Ben Gilbert)盘点了当晚的重磅阵容:杰米·戴蒙(Jamie Dimon)、丹尼尔·埃克(Daniel Ek)以及艾米莉相继亮相。在压轴嘉宾马克·扎克伯格(Mark Zuckerberg)登台之前,两位主播把本次现场秀的独家赞助伙伴——摩根大通支付(J.P. Morgan Payments)的两位全球联席主管麦克斯·诺伊基兴(Max Neukirchen)与奥马尔·法鲁克(Umar Farooq)直接请上了 Chase Center 的舞台。 ```mermaid flowchart TD accTitle: 摩根大通支付业务生态与全球规模 accDescr: 展示摩根大通支付连接各类客户、底层能力与创新技术的核心框架。 subgraph Clients["服务对象与覆盖范围"] C1["街角咖啡馆 (POS 刷卡)"] C2["电商平台与市场型企业"] C3["跨国巨头与全球金融机构"] end subgraph Core["核心能力 (覆盖 160 国 / 日均流转 10 万亿美元)"] B1["收款与账户托管"] B2["资金下发与跨境清算"] B3["风控安全与防欺诈"] end subgraph Frontier["前沿技术创新"] F1["Onyx 区块链生态网络"] F2["嵌入式金融方案 (Embedded Finance)"] F3["自研反欺诈 AI 模型"] end Clients --> Core Frontier --> Core ``` 麦克斯用最通俗的语言概括了这项庞大业务的本质:帮助各类企业收钱、存钱、付钱、抵御金融欺诈,并利用交易数据洞察赋能客户业务增长。从街角咖啡馆的刷卡 POS 机,到大型电商平台的支付结算,再到跨国巨头及同行银行间的流动性管理,摩根大通支付的业务遍及全球 160 个国家,日均资金流转规模高达惊人的 10 万亿美元,相当于全球每天资金流动总量的四分之一。麦克斯自豪地表示,他们不仅是企业的金融支柱,有时甚至支撑着整个国家经济体的运转,许多在 Acquired 节目中登场的伟大公司从初创期到成长为参天巨头,从未离开过这一体系。 面对身处全球科技与 AI 创新中心旧金山的现场观众,奥马尔·法鲁克分享了摩根大通在金融前沿领域的革新: - **区块链布局**:旗下的 Onyx 业务部门运行着目前全球规模最大的实体金融区块链生态,其单笔及日常清算体量远超主流公链与加密货币网络。 - **嵌入式金融(Embedded Finance)**:为各类数字化平台提供无缝衔接的底层轨道,让终端用户在毫无感知的情况下完成合规高效的支付结算。 - **AI 攻防战**:在反欺诈与风控前线重度部署 AI,“因为站在你对立面的犯罪团伙正在使用 AI 发动攻击,你必须拥有更强悍的 AI 去击败他们”。奥马尔总结道,摩根大通支付的使命就是“每天都在以不可思议的规模创造奇迹”。 --- ### [01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) 黄仁勋视频连线:“如果重来一次,你还会创办英伟达吗?”真相澄清 在下半场正式开始前,本与大卫揭晓了一个特殊的“回访彩蛋”。在过去一年中,Acquired 采访英伟达(NVIDIA)创始人黄仁勋的一段切片视频在全网爆火,收获了数千万次播放,并被《福布斯》、《财富》、《纽约时报》以及《华尔街日报》等各大媒体广泛转载。当时黄仁勋被问及“如果拥有现在的认知,是否还会重新创办英伟达”,他脱口而出回答:“绝不会(Absolutely not)。”这段言论在传播过程中被严重断章取义,甚至导致外界误读了黄仁勋的本意,以至于 Acquired 团队后来主动下架了该视频切片。今晚,黄仁勋特意录制了一段视频,在 Chase Center 的大屏幕上公开“修正记录”(correct the record)。 视频中的黄仁勋站在英伟达总部舞台上,首先向大卫和本表达了祝贺,为播客能聚集数千名现场观众感到骄傲。随后,他正面澄清了当时那句话的真正含义:如果早就预知英伟达最终能取得如今这样辉煌的成就,他当然会义无反顾地创办它。然而,他当时强调的是创业本身的极度艰难与残酷: - **无法承受的重压**:在长达 31、32 年的漫长岁月里,创业者必须掌握海量的未知知识,时刻面对聪明强劲的竞争对手,并翻越一座又一座看似不可能逾越的苦难与痛苦大山。 - **无知即超能力**:“如果把这 32 年间经历的所有挑战、苦难、痛苦和折磨,全部压缩塞进一个 29 岁年轻人的大脑里,这个人绝对不可能有勇气去创立这家公司。” - **创业者的本质**:黄仁勋总结道,创业者真正的超能力恰恰来自于某种程度的“无知”(ignorance)——正因为你根本不知道前路究竟有多难,你才敢于迈出那一步。 全场观众对这段坦诚通透的自白报以雷鸣般的掌声,大卫与本也笑着感慨,终于能够把这段公案正式盖棺定论。 --- ### [01:13:12](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4392s) 主角登场:马克·扎克伯格与“不再道歉”的创业现实 在全场震耳欲聋的尖叫与欢呼声中,当晚最核心的主角——Meta 创始人兼 CEO 马克·扎克伯格(Mark Zuckerberg)正式登台。扎克伯格一坐下就调侃起刚刚播放的黄仁勋澄清视频:“看着老黄在视频里澄清发言,我心想,咱们可能得直接把下一次 live show 的场地给预订了,专门用来给我在今晚可能说错的所有话道歉——开玩笑的,我可不再道歉了(I don't apologize anymore)。”本·吉尔伯特立刻笑着接梗:“我们注意到了。” 大卫随即抛出了刚刚黄仁勋同款的灵魂拷问:“如果你在当年就知道今天所知道的一切,你还会创办 Facebook 吗?”扎克伯格给出了极具共鸣的回答: > “我觉得老黄最初表达的情感是非常真实的。创业维艰,尤其是在最早期运营初创公司的时候,你每天都会被一种强烈的危机感笼罩,感觉公司随时随地都可能完蛋,那种剧烈的动荡和被反复折磨的感觉是极其痛苦的。当然,回过头看你会沉淀出许多美好的回忆,但那绝对不是整个旅程中最享受的部分,也不是我愿意重新穿越回去再经历一遍的生活。” 扎克伯格进一步阐释,老黄当时的话之所以击中很多人,正是因为道出了创业不可言说的痛苦。许多人如果提前预知了所有煎熬,可能真的永远不会起步。然而,“这正是人性中美好的一面——人们天生会低估未来的痛苦程度,但也正因如此,我们才敢于启程去创造伟大的事物。” 在切入深度的商业与技术探讨前,大卫与本把注意力引向了扎克伯格今晚极为吸睛的穿搭风格,询问起他身上的定制衬衫。扎克伯格笑着透露,自己最近开始与设计师(如 Mike Amiri)合作设计属于自己的服装,“我想着,既然我们要去设计智能眼镜、设计硬件,那不妨把衣服也一起设计了”。一个更为自信、松弛且展现全新个人面貌的扎克伯格,拉开了今晚主访谈的序幕。 ### [01:16:07](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4567s) 古典名言衬衫与“经由苦难学习”(Pathei Mathos) Mark Zuckerberg 聊起了自己身上穿的定制 T 恤。他最近开始设计并穿着一系列印有自己喜爱的古典名言的服饰,本场活动所穿的衬衫是他与知名时尚设计师 Mike Amiri 合作完成的。这件衣服上印着古希腊悲剧作家埃斯库罗斯(Aeschylus)的名句“Pathei Mathos”(意为“经由苦难学习”,learning through suffering)。Zuckerberg 开玩笑说,这也是他们家的家训,或者说是他用来“对付”姐姐妹妹们的口头禅。 面对主持人的追问,Zuckerberg 深刻阐述了这句话对他的含义:人只有在不断碰壁、面对各种残酷挑战的过程中,才能真正认清什么对自己是最重要的、什么是真正有价值的,以及自己在世界中的位置。这不仅是创业的必经之路,也是创造事物的魅力所在。这与英伟达 CEO 黄仁勋(Jensen Huang)常挂在嘴边的理念不谋而合——很多公司在创立之初都会把价值观写在墙上,但真实的价值观从不是写在墙上的标语,而是日常践行的行为;只有当面临艰难的取舍与严峻的挑战时,你才会真正明白自己内心最在乎的是什么。 ### [01:18:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4680s) 从迈克尔·乔丹到重新定义“人类连接” 主持人指出,Meta 在成立的前二十年中经历并度过的生存危机,比商业史上几乎任何一家有分量的公司都要多。Zuckerberg 对此笑称这是一个“令人啼笑皆非的殊荣”(dubious distinction),并引用了迈克尔·乔丹经典的耐克广告来类比自己的心态——正是因为经历过无数次的失败、跌倒与重新爬起,最终才能获得成功。随后,主持人拿出一副 Ray-Ban Meta 智能眼镜,向 Zuckerberg 询问这款产品的诞生故事与愿景。 ```mermaid flowchart LR accTitle: Meta 从社交网络到智能眼镜计算平台的演进 accDescr: 展示 Meta 如何从最初的网页应用演化为移动端,再跨越到以眼镜为核心的具身 AI 与全息计算平台。 subgraph Phase1["传统计算平台(被动受限)"] Web["网页平台 (Web)"] Mobile["手机应用 (iOS / Android)<br/>视线向下、受制于人"] end subgraph Phase2["下一代计算平台(第一性原理)"] Glass["智能眼镜 (Ray-Ban Meta)<br/>看见所见,听见所听"] Holo["全息 AR 投影<br/>逼真的人类临场感"] end Phase1 -->|突破物理屏幕限制| Phase2 ``` Zuckerberg 回顾了 Meta(前身 Facebook)二十年的发展脉络。公司从最初的网页端走到移动应用,但他从未把公司局限在“社交媒体公司”或“社交应用公司”,它的内核始终是一家“人类社交连接公司”(social connection company),目标是构建人际连接的未来。这种连接不应长期被束缚在低头查看的手机小屏幕上,因为手机会把人的注意力从现实周围的人事物中抽离。Meta 当年创立时只是一群初出茅庐的年轻人,既没有资源也没有时间去参与定义智能手机这一代计算平台;因此在全新的篇章中,Zuckerberg 希望从第一性原理出发,亲手定义最理想的社交体验平台。 ### [01:20:25](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4825s) 终极计算设备:全息影像与具身 AI 载体 在 Zuckerberg 描绘的终极构想中,眼镜是下一代计算平台的最佳载体。一方面,眼镜能够“看见你所看见的,听见你所听见的”,凭借第一视角的完整情境感知,成为每个人最完美的 AI 个人助手;另一方面,眼镜能够将全息影像(Holograms)直接投影到现实世界中。未来的交流不再局限于冰冷的手机屏幕,而是即便相隔万里,对方也能以全息投影的形式坐在面前,带来无与伦比的“物理临场感”(human presence)。 Zuckerberg 强调,人类本质上是非常注重肉体与物理感知的生物,这种沉浸式的面对面临场感,将成为数字社交体验与具身 AI(Embodied AI)的终极形态——届时在同一场对话中,可能既有物理在场的人,也有全息投影的真人,还有具象化呈现的 AI 助手。为了实现这一宏大蓝图,Meta 已经潜心研发了整整十年,面临着极高的技术攻关壁垒: - **颠覆性的全新显示架构**:跳出手机与电视屏幕历经数十年优化的供应链,从零研发全新的全息微型显示技术。 - **极致的元器件微型化**:在极其轻巧美观的眼镜镜框内,集成计算芯片、麦克风阵列、扬声器、摄像头、眼球追踪传感器、全天候电池以及全新的无线射频(RF)传输协议。 ### [01:23:23](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5003s) 从“练手项目”到 AI 突破:Ray-Ban 合作与创业轶事 在死磕全息 AR 原型机的同时,Meta 采取了双轨并行的策略:如果抛开全息显示,仅在现有工艺极限下,与全球顶级眼镜集团 EssilorLuxottica(Ray-Ban 母公司)合作,把最实用的科技塞入时尚好看的经典镜框,能做出什么?Zuckerberg 坦白承认,在刚启动 Ray-Ban 合作项目时,他心里甚至觉得这只是通往终极 AR 眼镜路上的一次“练手项目”。 听到这里,主持人幽默地插话指出,Zuckerberg 当年也曾以为 Facebook 只不过是他在哈佛搞的一个“练手项目”,以后才会去真正做一家创业公司。Zuckerberg 笑着分享了一段早期创业的趣事:当年他和 Dustin Moskovitz 等几个人刚把 Facebook 做出来,从东部飞到硅谷,开车行进在 101 高速公路上,看到路旁林立的 eBay、Yahoo 等科技巨头招牌时惊叹不已,心里想着“天哪,希望有一天我们也能创办一家像这样的伟大公司”。当时 Facebook 已经初具规模,但他完全没有野心把它当成一家真正的商业公司来运作,只是后来顺其自然发展壮大了。 谈回到智能眼镜,这款与 EssilorLuxottica 合作打造的产品起初只是作为时尚智能穿戴设备切入。主持人特别补充指出,Meta 推出这代硬件时,公众意识中甚至还没有迎来大语言模型(LLM)与 ChatGPT 的爆发,这款硬件最初并不是为了搭载生成式 AI 而量身定制的,而是随着大模型浪潮的席卷,在推向市场后与爆发的 AI 技术完美融合,迅速爆发出了超出预期的巨大潜能。 ### [01:25:44](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5144s) 智能眼镜与 Meta AI 的灵感与快速原型 扎克伯格(Mark Zuckerberg)谈到硬件与 AI 发展顺序的演变:原先大家预期某种硬件形态会在全面的全尺寸 AI 出现前就普及,但现实反了过来。如今由 AI 驱动硬件变得水到渠成——雷朋 Meta 智能眼镜(Ray-Ban Meta)正是极佳的载体,因为它配有摄像头(能“看”到用户所见)、麦克风和扬声器(能实现即时语音交互)。扎克伯格回忆道,当时他给负责该产品线的负责人亚历克斯·希梅尔(Alex Himel)打电话,提出应该转变方向,将 Meta AI 作为眼镜的核心主打功能。 有趣的是,现场主持团队打趣称,他们听到了一个更有张力的戏剧性版本:当时希梅尔周六正开车带着孩子在高速公路上,突然接到马克打来的电话:“那些眼镜……我们能不能把端侧 Meta AI 放进去,并且尽快发货,看看这到底是不是个好主意?”扎克伯格笑着确认事实确实如此。随后在下一个周二,团队就拿出了原型机,立竿见影地印证了这是一个会大获成功的产品。 --- ### [01:26:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5211s) 穿越九道科技生死关:为什么 Meta 能一直赢? 主持人抛出了当晚的核心问题:Meta 为何能取得如此长青且惊人的成功?作为全球市值最高、最具影响力的公司之一,Meta 穿越了多次技术换代,顶住了外界无数次“Facebook 彻底完蛋了”的舆论唱衰。主持人现场数出了九次标志性危机与技术浪潮: ```mermaid flowchart LR accTitle: Meta 历经的九次外部挑战与竞争浪潮 accDescr: 展现 Meta 穿越的多轮技术冲击与竞争对手更迭 subgraph Early["早期社交网络"] M["Myspace"] T["Twitter (第一代)"] end subgraph Mobile["移动与新型形态"] I["Instagram"] S["Snapchat"] W["WhatsApp"] TK["TikTok"] end subgraph Platform_AI["平台限制与生成式 AI"] ATT["Apple ATT (应用跟踪透明度)"] GPT["ChatGPT / 生成式 AI 浪潮"] end Early --> Mobile --> Platform_AI ``` 每次 Snapchat 推出 Stories 功能,或者市场上出现新事物时,大众舆论就会认定 Facebook 已经过时并将走向消亡。然而事实却完全相反,Meta 每次都能打破唱衰。主持人追问,在 Meta 的底层基因中,到底是什么贯穿始终的脉络让其能够持续取胜? 扎克伯格总结了公司的本质定位: - **定义为“专注人际连接的科技公司”**:Meta 从不将自己狭隘地定义为“一个网站”或“一个社交网络应用”,核心愿景是让人无论身处何地都能感受到彼此的存在(Presence)。开发智能眼镜只是这一理念在硬件形态上的自然延续。 - **强大的底层技术底座**:很多公司把业务定义得太窄,因而缺乏横跨不同平台的能力。扎克伯格强调,能够拓展多元业务的前提是拥有扎实的技术实力,能够把宏大的产品构想变为现实。 --- ### [01:29:27](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5367s) 技术公司基因与管理层架构 扎克伯格回顾了早期社交网络的发展,例如 Friendster 和 Myspace 当年遭遇的灾难性扩容瓶颈。在计算机科学中,社交图谱的计算(Graph calculations,判断“你是否认识某人”、“该向你展示什么内容”)在算力与架构上极具挑战。扎克伯格指出,这实际上是“产品定义”与“技术实现”的结合: 1. **聪明的定义问题**:如果把产品定义得漫无边际,底层技术在工程上就会变得无法实现;必须用聪明的产品边界配合顶尖的技术工程能力。 2. **真正的科技公司文化**:扎克伯格提到,初到硅谷时他惊讶地发现,很多自称“科技公司”的企业根本不是技术主导——CEO 不懂技术、董事会没有懂技术的人,甚至高管团队里只有一个负责工程的高管是懂技术的。 扎克伯格强调,在 Meta,他极力确保管理团队的技术底色: - 高管团队中许多管理大型产品部门的核心负责人都是技术出身,沿着技术路径成长起来。 - 尽管团队需要商业与职能的多样性,但如果工程师在整体公司和管理层中没有足够的占比,就不能算作真正的科技公司。 - 这种对底层技术的长期投入和重度倾斜,深刻影响着公司的决策权重和文化氛围,让 Meta 能够从容地跨越一个又一个计算平台。 --- ### [01:31:38](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5498s) “回合制策略游戏”与 Meta 的敏捷迭代哲学 谈到产品战略,扎克伯格给出了非常务实的定义:**Meta 的产品战略不是押注于某一个具体的单点设计,而是“比其他任何公司学得更快”**。只要 Meta 能以更快的速度迭代、尽早把产品推向市场并建立强大的反馈循环,就能在第 3、第 4 甚至第 5 个版本时大幅领先对手。 主持人引述了一位行业人士对扎克伯格战略风格的绝妙比喻: > “马克就像在玩一款**回合制策略游戏(Turn-based strategy game)**。他唯一的策略就是确保自己获得比其他玩家多得多的‘回合数’(Turns),并且确保自己在每一个回合中汲取的信息和学到的东西都远超下一个人。” 黄仁勋(Jensen Huang)在早前环节也提到过类似的理念——“苹果从树上掉下来,你无法控制方向,但你可以把手放得足够近去接住它”。 扎克伯格进一步阐述了他与苹果公司截然不同的发布哲学: - **工程卓越 vs. 迭代速度**:高超的工程能力与极速迭代是两个维度的价值观。许多顶尖工程团队习惯在象牙塔中打磨完美无瑕的产品才肯发布。 - **与苹果完全相反的路径**:苹果擅长关起门来长期抛光,直到近乎完美才公开发布,这符合苹果的文化且卓有成效。但 Meta 恰恰相反。 - **“濒临尴尬”的发布标准**:Meta 内部的许多讨论甚至会推进到“近乎为发布的产品感到尴尬”的临界线。只要核心假设合理且具备可测性,宁可早一点推给用户收集真实反馈,而不是为了让它更好看再在封闭环境下多磨几个月。通过更密集的击球次数(At-bats),Meta 依靠极致的反馈闭环在长跑中最终取胜。 ### [01:35:07](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5707s) 尽早发布与学习:建立不惧负评的敏捷文化 马克·扎克伯格(Mark Zuckerberg)深入阐述了 Meta 根深蒂固的工程发布文化:一家公司必须建立一种高度重视“尽早发布(shipping)产品并快速收集真实反馈”的文化,而不是一味追求在每次推出新东西时都必须获得外界的一致喝彩。扎克伯格直言,如果一个团队总是非要等到确定能换来掌声才肯把产品推向市场,就会白白错失大量宝贵的时间——而那些时间原本可以用来学习大量关键知识,并将其吸收融合进下一个迭代版本中。 主持人大卫·罗森塔尔(David Rosenthal)追问,将尚不成熟的产品推向市场,是否会对公司品牌造成持续的磨损与伤害?扎克伯格坦诚回应,虽然大家都希望这不会伤害品牌,但也不应将这种风险无限夸大。Meta 绝不会故意发布自己都认为糟糕透顶的东西,但关键在于“必须足够早地将产品发布出去,以便看清用户究竟会拿它来做什么”。 扎克伯格以 Meta 当前正在构建的 AI 产品为例:尽管业界已经非常明确生成式 AI 将在诸多领域带来颠覆性变革,但究竟哪些初始用例(use cases)才具备真正的超级价值,目前其实并不完全明朗。如果发布的产品质量不及格,用户自然会弃用,从而无法沉淀出有效的数据反馈;但只要抱着经过深思熟虑的假设并在早期阶段迅速入场,团队就能在用户的实际共鸣中验证方向、修正假设。 --- ### [01:36:53](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5813s) 产品创造的哲学:发明、发现与米开朗基罗的“大卫” 主持人大卫抛出了一个充满思辨色彩的问题:对扎克伯格而言,产品创造究竟是一场“发明”(Invention)还是一次“发现”(Discovery)?这就像米开朗基罗眼中的大理石——雕像《大卫》本就存在于原石内部,工匠只需凭借最顶级的工具与反馈将其凿刻“发现”出来;还是说创作者必须先在脑海中勾勒出大卫的模样,然后强行将其创造并带到这个世界? 扎克伯格认为这两者绝非非此即彼,而是一种紧密的结合。他指出,做产品一方面要基于自身的价值观,或是坚信某种事物应当存在于世的执念;另一方面必须将其与最能引起用户共鸣的需求相结合。如果只靠后者(纯粹迎合市场反应),团队就缺乏足够的信念(conviction)去咬牙扛过极其艰难的险阻;但如果只凭前者(单方面的自我坚持),往往就无法找到产品市场契合点(Product-Market Fit),因为创作者脱离了对客户实际需求的专注。 主持人大卫结合科技史举例说明了这两种维度的对比: - **市场发现型(Discovery)**:Snapchat 率先探索出了快照故事(Stories)这一格式,瞬间让全行业意识到这才是全新的社交互动机制,Meta 随后迅速跟进并将其发扬光大。 - **纯粹意志型(Invention)**:Meta 向 Reality Labs 累计砸入超过 500 亿美元,不问外界短期反馈,完全是凭借扎克伯格对未来人机交互形态的执念,硬生生“用意志力将其创造出来”(will this thing into existence)。 扎克伯格对此补充道,Meta 既建立过开创性的范式,也从不羞于向市场学习: - **News Feed(信息流,2006 年)**:在 Meta 推出首版 News Feed 之前,主流社交网络本质上只是一张张静态的个人主页(Profiles)。Meta 洞察到用户希望获取动态更新并利用算法对内容进行排序呈现,这一模式彻底奠定了现代社交产品的底层逻辑。 - **向外部生态求知**:“我们从不介意向其他先行发现优质模式的人学习,然后在此基础上打造出体验更好的版本。”扎克伯格指出,公司外部的聪明人永远多于公司内部,如果对市场中正在发生的事情视而不见,就会错失海量来自社区和客户的宝贵信号。 --- ### [01:40:21](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6021s) Meta 与开源:从分布式算力、Open Compute 到 Llama 战略 对话随后切入到开源技术(Open Source)对于 Meta 的核心意义。主持人本·吉尔伯特(Ben Gilbert)提出一个论断:Meta 或许是现代世界中开源技术的最大受益者。扎克伯格对此表示认同,坦言不仅 Meta 是构建在经典开源堆栈(LAMP stack)之上的首批巨头之一,事实上 90 年代末期以来成立的几乎所有大型科技公司,没有开源技术的支撑都无法平地起高楼。 然而,Meta 独特的行业位置使其走出了一条与 Google 截然不同的开源策略: - **错位竞争与底层解耦**:Google 是首批自主构建大规模分布式计算基础设施的巨头,由于身处开创者地位,Google 选择将底层设施作为排他性的专有护城河。当 Meta 随后也搭建出类似的大规模分布式系统时,扎克伯格意识到这套架构对 Google 并不构成不对称优势,于是 Meta 索性选择将其开源。 - **Open Compute Project(开放计算项目)的双赢闭环**:通过将数据中心硬件设计彻底开源,Meta 推动其成为整个云计算产业的公认标准。各家云厂商和供应链厂商均围绕 Meta 的标准进行批量生产,这直接带来了更充沛的硬件供应、大幅降低的制造成本(为 Meta 节约了数十亿美元),并显著提升了硬件元器件的整体质量。 ```mermaid flowchart TD accTitle: Meta 的开源基础设施逻辑 accDescr: 展示 Meta 在计算硬件和 AI 模型上如何通过开源确立行业标准并降低自身成本与被卡脖子风险。 subgraph Hardware["硬件层:Open Compute Project"] A["Meta 开源数据中心硬件架构"] --> B["全行业云厂商与供应链采纳"] B --> C["供应链按统一标准规模化量产"] C --> D["硬件成本骤降数十亿美元 & 质量提升"] end subgraph AI_Ecosystem["AI 与平台层:Llama 战略"] E["遭遇移动端平台规则限制痛点"] --> F["自研软硬件核心架构(AR / VR / AI)"] F --> G["开源顶级基础模型 Llama"] G --> H["汇聚全球开发者生态反馈与共建"] end ``` 扎克伯格坦言自己并不是原教旨式的开源狂热者("I'm not like a zealot on this"),Meta 内部始终有大量的闭源项目与开源项目并行。对于当前押注的开源大模型 Llama,其底层逻辑与此一脉相承: - **拒绝再度“受制于人”**:扎克伯格在移动互联时代积累了极多惨痛的切身体会——Meta 在移动操作系统(如 iOS / Android)上开发新体验时,屡屡被平台方以规则为由无情拒绝("No, you can't build that")。因此,在面向未来 20 年的 AR 眼镜、混合现实及 AI 浪潮中,Meta 必须拥有自主掌控的顶尖核心技术平台,不能再依附于任何外部巨头。 - **生态反哺技术迭代**:AI 模型从来不是孤立封闭的单一软件,而是高度依赖协同的生态系统。开源 Llama 能够让全球海量开发者共同参与使用和优化,不仅在哲学理念上契合开放互联的愿景,更能在战略上使 Meta 的技术标准深植于全球技术底座之中。 ### [01:43:59](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6239s) 偏离正轨的插话:HTML5 押注与 2012 年 IPO 阵痛 在现场对谈正热烈展开之际,主持人大卫·罗森塔尔(David Rosenthal)突然打断讨论,半开玩笑地要求“拐个弯”做个背景调研。马克·扎克伯格(Mark Zuckerberg)笑着调侃道:“这也拐得太远了吧?真的是硬抢方向盘啊,这跟刚才聊的有关,还是你觉得该轮到你发言了?”大卫坚称这与他们对公司战略演进的思考紧密相关。他将时间拉回到 2012 年 5 月——当时 Facebook 正在筹备 IPO,但在移动端却重注了 HTML5 架构。结果公司以 1000 亿美元估值上市后,在接下来的三个月内股价暴跌近 50%。大卫好奇扎克伯格当时的心理状态,以及那次惨痛经历如何深刻影响了如今他对人工智能(AI)等新技术的应对方式。 ```mermaid flowchart TD accTitle: HTML5 赌注失败与移动重写历程 accDescr: 展示 Facebook 从 Web 转向移动端时因 HTML5 架构失策而停滞重写的决策流程。 subgraph S1["传统 Web 优势与盲目迁移"] A["基于 Web 快速迭代<br/>持续部署模式"] --> B["构建跨平台 HTML5 壳<br/>通吃 iOS/Android/BlackBerry"] end subgraph S2["现实撞墙与阵痛危机"] B --> C["性能极差、手感卡顿<br/>移动端无广告变现模式"] C --> D["IPO 后市值暴跌 50%<br/>商业模式断崖"] end subgraph S3["破釜沉舟的决断"] D --> E["暂停全部新功能开发整整一年"] E --> F["原生 Native 彻底重写<br/>发明信息流原生广告 Feed Ads"] end ``` 扎克伯格坦言,当年那完全是一个技术架构层面的重大误判。Facebook 起家于网页端,工程师早已习惯了“只写一套代码即可在服务端持续部署更新”的极速迭代风格。面对突然崛起的移动应用浪潮,团队发现不仅要为 iPhone、Android、BlackBerry 和 Windows Mobile 等碎片化平台分别开发不同的原生客户端,而且每次发版还要经历漫长痛苦的渠道审核,一等就是好几周。于是扎克伯格团队构想了一个在当时看似两全其美的方案:打造一个底层的 Native 壳,里面跑 Web 网页,实现一次编写、全端每日更新。团队当时误以为“牺牲一点非原生的体验,可以用极高的研发迭代速度来弥补”。事实证明他们彻底错了——对于当时的智能手机来说,如果没有深度集成 Native 原生架构,应用的交互手感与流畅度根本无法达标。 更致命的是,重写整个移动端客户端的浩劫正好赶上了用户向移动设备大迁移的历史节点。而彼时的移动端 Facebook 根本没有一分钱收入。在传统的桌面网页上,主界面右侧有充裕的边栏空间可以展示广告;但在方寸之间的手机屏幕上,根本没有右边栏。扎克伯格指出,当时连“信息流广告”(Feed Ads)这个概念都还没有被发明出来。品牌广告主习惯了传统 Banner 格式,对于把广告做成一条信息流内容极其抗拒;而对于普通用户而言,他们最核心、最私密的动态流突然开始掺杂商业广告,同样是一场巨大的体验危机。 --- ### [01:47:22](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6442s) 壮士断腕:冻结功能重写底层与痛苦承受力 面对移动端流量暴增但变现比例反而断崖式缩水的危机,扎克伯格做出了一个极其大胆且危险的决断:全面暂停公司所有新产品功能的开发整整一年,集中全力重写原生移动端应用。科技行业历史上不乏类似的惨痛先例,比如 Netscape 试图重写底层平台的同时又不断叠加新功能,最终项目失控陷入万劫不复。扎克伯格深知底层平台迁移的系统性风险,因此勒令全员专注,不许发布任何新功能,心无旁骛地把客户端改写为更快的 Native 架构。 在 IPO 的关键当口,投资人对于一家即将上市却可能面临一年半内无法有效赚钱的公司感到惊恐万分。扎克伯格对此表现出了惊人的抗压定力:“一年半从长远来看不过是弹指一挥间,那就干吧。”他回顾道,在商业中,当你身处顺境时,反而很难看清下一步该怎么做才能从赢走向大赢;但当你陷入败局时,该做的事情往往清晰无比,关键只在于“你是否有足够的痛苦承受力(Pain Tolerance)去把它咬牙扛下来”。虽然外界股价跌去一半,但公司内部员工的心态反而很快稳定下来,因为大家都明白方向是绝对正确的。经历了一年半极其难熬的阵痛期后,Facebook 彻底重获新生。扎克伯格自嘲打趣说,如今往回看,“市值也才跌了一半,扛了一年半而已,这在回顾时感觉还真不算太差,我认了!” - 关键考量:重写底层代码时绝对不能同时做新功能,必须杜绝导致软件项目永远无法交付的范围蔓延风险。 - 战略直觉:困境中的路径通常非常明晰,决定胜负的往往不是智谋,而是领导层与团队对周期性阵痛的耐受度。 - 商业创新:在移动端被逼入绝境后,团队被迫创造出了移动信息流原生广告,彻底奠定了移动互联网时代的核心商业模式。 --- ### [01:50:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6608s) 最深刻的自省:将政治危机误当企业公关危机的教训 本·吉尔伯特(Ben Gilbert)顺着这个话题抛出了一个更尖锐的追问:既然重写移动端在事后看来根本不算最糟糕的错误,那么纵观 Meta 成立以来的风风雨雨,外界对公司的万千指责中,扎克伯格认为哪一条是最正中要害的?他的自我反思是什么? 扎克伯格收敛了笑意,坦承过去确实犯过数不清的技术和业务错误,但过去十年里最让他深感遗憾的,是面对 2016 年后外部政治环境剧变时的根本性误判。在 2016 年之前,除了 2012 年 IPO 期间的股价低迷,几乎没有哪个月外部舆论对公司不是赞誉有加;然而在 2016 年美国大选之后,舆论氛围发生了一百八十度的大逆转,几乎每一个月都充斥着对公司的口诛笔伐与道德审判。扎克伯格回顾道,Meta 始终清醒地知道自己是一家底层技术公司,其内核不是简单的社交网络,而是构建人与人连接的载体;但唯独在政治现实面前,他缺乏足够的政治敏锐度与成熟度,从根本上“诊断错了问题的性质”。 扎克伯格深切反思道,一家优秀企业的本能反应通常是:当外界指出产品存在缺陷时,积极承担责任(Take Ownership),公开表态“即便这不全是我们的问题,我们也会全盘负责并全力解决”。作为企业公关危机,这种坦诚态度是有效的;但在高度极化的政治角力中,这种认知却彻底失效了。政治场域里既有出于善意、希望解决问题的建设性批评,但更多的是纯粹为了转嫁矛盾、寻找替罪羊的恶意攻击。扎克伯格后悔当年全盘接受了他人的指责与成见,错误地将一系列深刻的社会撕裂与历史难题通通揽在自己和社交媒体公司的肩上,结果反而落入了政治博弈的泥潭。 ### [01:53:15](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6795s) 政治误判是一个长达20年的代价 马克·扎克伯格回顾了 Meta 近年来所经历的公关与政治风暴。他坦承,过去公司试图承担起责任、解决外界指责的所有问题,结果却适得其反:“当时有很多人看到后就觉得,‘既然你承认承担责任了,那我就拿更多事来猛踢你一脚’。” 他反思道,公司当时应该更坚定、更清晰地划清界线——哪些问题确实是 Meta 的责任,哪些根本不是。 在他看来,当年混乱的 IPO 只是一个耗费了一年半的错误,但 2016 年开始的政治误判却是一个长达 20 年的沉重代价。从 2016 年大选后的指责开始,Meta 耗费了极大力气去解决各类社会与政治争议,试图在全美乃至全球充满剑拔弩张的政治动态中找到恰当的立足点。扎克伯格认为,公司现在终于找到了立足点与核心原则:知道哪些是自己必须改进的,但当有人针对科技行业或 Meta 提出毫无事实根据的指控时,公司也必须更加强硬地予以回击。他预估,Meta 大概还需要再花 10 年时间,才能完全走出这个品牌周期,恢复到当年本应达到的公众形象。不过他也淡然表示,在历史长河中,20 年其实不算太漫长,走过这段周期后公司会变得更加坚韧。 ### [01:55:07](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6907s) 用学术研究打破无端指责 当被问及 Meta 现在是否拥有一套合理的框架来区分“哪些是我们的责任,哪些不是”时,扎克伯格指出,关键在于客观科学的证据。在过去的多年里,已有大量的学术机构深入研究了社交媒体带来的各项影响。 他提到,过去 Meta 吸取的一个核心教训就是:必须在事前就大力支持第三方学者的独立学术研究。因为一旦外部的舆论危机爆发,你遭到公众指控时,自己跳出来说“我们觉得这不是我们的锅”,在公众眼里根本毫无说服力。然而,如果提前鼓励受人尊敬的第三方学者开展研究、公开辩论,数据事实就会说话——例如大量严谨的学术实证研究最终表明,社交媒体与某些被指控的心理或社会伤害之间,根本不存在所谓的直接关联。 ### [01:56:12](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6972s) 治理结构与长期主义:雅虎收购风波的痛苦教训 主持人和扎克伯格聊起 20 年对于创始人的意义。扎克伯格 19 岁辍学创业,至今依然年轻,拥有如沃伦·巴菲特(Warren Buffett)般的超长经营时间跨度(Buffett duration)。主持人指出,Meta 能够坚持超长远视野的核心护城河之一,在于扎克伯格在极早期就设立了非同寻常的公司治理结构(特别是超级投票权,Super-voting shares)。这让非创始人类 CEO 根本无法企及。 扎克伯格随即讲述了这套控制权架构背后的痛苦根源。2006 年,雅虎(Yahoo!)开价 10 亿美元收购当时年轻的 Facebook。当时公司的整个高管团队都极力主张卖掉公司,甚至董事会还一度试图解雇扎克伯格。扎克伯格拒绝出售后,在接下来的一年里,几乎全部管理层成员都相继离职。 ```mermaid flowchart TD accTitle: 2006年雅虎收购危机引发的公司治理变革 accDescr: 展示10亿美元收购提议如何导致高层动荡并最终促使扎克伯格建立超级投票权架构 subgraph Crisis ["2006年收购危机"] A["雅虎出资10亿美元提议收购"] --> B["管理团队一致主张卖掉公司"] B --> C["董事会试图解雇扎克伯格"] C --> D["扎克伯格拒绝收购<br/>管理层在随后一年内集体离职"] end subgraph Reflection ["深层反思与应对"] D --> E["深刻反思:早期未能清晰沟通长期愿景"] E --> F["痛定思痛:建立超级投票权架构<br/>确保创始人掌控长期发展方向"] end ``` 扎克伯格并不责怪当年的团队。他解释道,当时自己根本没有从一家正规“商业公司”的角度去思考问题,更不懂如何去沟通宏大的长期财务规划或商业价值,只是单纯觉得这是个很棒的项目、对世界很重要、不应该卖掉。对当时的团队而言,10 亿美元就是创业梦想的终极巅峰,因此扎克伯格在无法给出成熟商业论证的情况下要求拒绝报价,自然无法让团队信服。经历了这场“从痛苦中学习”的危机后,扎克伯格下定决心:“我不想再因为自己想把公司做大,就落得要在自己创立的公司里被开除的境地。” 于是,他在治理结构上筑起了高墙,确保了创始人对公司的长期掌控权。 ### [01:59:15](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7155s) 警惕创业的浪漫化与团队膨胀陷阱 针对外界常常将扎克伯格视为本世纪最具代表性的创业原型,主持人指出许多人是奔着“创业的浪漫与光环”去开办公司的,而扎克伯格似乎更享受把公司打造成一个稳定盈利的持续经营实体(going concern)。扎克伯格笑着承认,自己现在其实过得开心得多,因为手头拥有充足的资源去攻克各种激动人心的宏大项目。 对于那些过度浪漫化“创业”概念的创始人,扎克伯格给出了自己的忠告: - **保持灵活转向(Pivot)的能力**:千万不要因为“想创业”而僵化地一头扎进某一个点子。他在大学期间写过十几个小项目,只是单纯做出自己想要的东西,看到有人用就继续维护,没人用就转向其他点子。 - **人数少时调整方向没有内耗**:早期最珍贵的是敏捷性。扎克伯格笑言,当团队极小的时候,调整业务方向只需要“在自己的脑子里面开会”就能完成;而一旦招了一大堆人,大家就会把个人自尊心和虚荣心(ego)绑定在既定路线上,试图调整方向时就需要耗费巨大的精力去说服每个人。 - **团队过早膨胀会摧毁主观能动性**:虽然缺乏资源寸步难行,但在项目不成熟的阶段堆砌过多人员反而极其危险。如果一个早期项目塞进了超出需求的人手,员工就会失去掌控感和自主决策权(agency),工作会变得索然无味,反过来导致公司更难吸引并留住顶尖人才。这也是 Meta 推动组织精简、力求成为“大公司中最精干敏捷的版本”的核心原因。 ### [02:01:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7311s) 为什么在 Reality Labs 豪赌?掌控命运与下一代计算平台 主持人半开玩笑地向马克·扎克伯格发难:既然他此前反复强调“不应在产品阶段尚未成熟前投入过量的人力与资源”,那为何 Meta 如今要在几乎不怎么赚钱的 Reality Labs(现实实验室)上砸下成百上千亿美元的“天文数字”?面对这种看似自相矛盾的做法,扎克伯格给出了极具长远眼光的商业与战略逻辑。他指出,当一家企业达到 Meta 这种庞大体量时,核心问题必须转向“未来 10 到 20 年你想做什么”以及“未来的大趋势何在”。在他看来,智能眼镜、全息远程呈现与增强现实(AR)未来必然会像智能手机一样普及。全世界本就有数十亿戴眼镜的人口,只要其中一部分升级为搭载人工智能的智能眼镜,它就已经会是“人类历史上最成功的产品之一”,而未来的发展空间远不止于此。 除对技术演进的判断外,更关键的驱动力在于“掌控自身命运(controlling our own destiny)”。Meta 长期受制于苹果和谷歌掌管的移动操作系统生态,承受着高昂的平台规则与分成约束。扎克伯格透露,公司曾专门核算过因平台税、广告业务追踪限制以及被禁止上架某些特色功能而蒙受的损失。他的结论相当惊人:“如果我们拥有自己的硬件平台,公司的利润可能是现在的两倍。”虽然纯粹的财务回报并非他做硬件的初衷,但在历经雅虎收购风波等一系列教训后,扎克伯格已能清晰地向外界阐述为何这笔巨额押注在长远来看是完全站得住脚的。 ```mermaid flowchart TD accTitle: Reality Labs Strategic Rationale accDescr: Diagram explaining why Meta is heavily investing in Reality Labs. subgraph Defense["摆脱外部掣肘"] A["移动平台操作系统生态<br/>(苹果 / 谷歌)"] -->|广告追踪限制 & 抽税| B["应用体验受限 & 巨额利润流失"] end subgraph Vision["下一代计算范式"] C["现有庞大眼镜佩戴人群"] -->|升级搭载 AI / AR 功能| D["历史上最成功的消费级硬件之一"] E["全息呈现 (Holographic Presence)"] --> D end subgraph Outcome["长远战略终局"] B -.->|自主掌控软硬件平台| F["实现两倍以上潜在利润空间"] D --> F F --> G["彻底掌控 Meta 自身的命运"] end ``` - **百亿豪赌的合理性**:战略重心从短期利润转向 10 至 20 年的代际技术更迭,抢占智能手机之后的下一代个人计算主入口。 - **巨大的换机基数**:全球视力矫正及太阳镜佩戴群体规模极为庞大,仅仅实现存量眼镜用户的“AI 智能化升级”,就足以支撑起千亿美元级的消费电子市场。 - **平台税的痛感**:扎克伯格评估,由于外部操作系统平台对 Meta 广告底层机制的限制和产品功能的掣肘,Meta 当前的盈利水平被大幅压制;拥有完全自主的平台可能让公司整体盈利能力翻倍。 --- ### [02:04:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7440s) 从“有用(Good)”到“惊艳(Awesome)”:Meta 与扎克伯格的价值蜕变 扎克伯格坦言,相比财务回报,他更深层的动力源自产品体验以及技术所能激发的情感。他分享了一个对其价值观产生深远影响的观点——早年加入 Meta 的 Oculus 初创团队成员曾告诉他:“做‘优秀的东西(good things)’与做‘令人惊叹的东西(awesome things)’之间有着本质的区别。”“优秀”的事物是实用的、有价值的,人们日复一日地使用它;但“令人惊叹”的事物完全不同,它是“振奋人心的、能激发灵感的,它能让你对未来充满无限乐观,是对人类创造力的一种升华”。扎克伯格反思道,Meta 过去在社交媒体领域做得非常“优秀”,每天有超过 33 亿人使用旗下应用建立联系、发展业务和构建社群,“但几乎没有人在清晨醒来时会握拳高呼:‘太棒了,社交媒体!’” 因此,在 Meta 和他个人的下一个 15 年阶段,他立志要在保持产品“优秀”的同时,全力创造那些真正“令人惊叹”的成果。Reality Labs 的前沿探索、基础人工智能的突破以及全新的应用体验,都被归入了这个富有野心的容器之中。这种追求也彻底渗透进了他的个人生活:扎克伯格笑谈,在这个年纪,他最看重的是“与能激发灵感的人一起做让人兴奋的事”。这不仅包括与妻子普莉希拉·陈(Priscilla Chan)在科研基金会上攻克前沿生命科学难题,还包括与顶尖设计师合作设计衣服,委托当代艺术家丹尼尔·阿尔轩(Daniel Arsham)为妻子打造一尊罗曼风格的蓝绿色巨型雕像,甚至还在夏威夷考艾岛(Kauai)的牧场尝试培育世界顶级牛肉。扎克伯格绘声绘色地聊起牧场里一头名叫“Chon”的健硕种牛,笑称这家伙一看到母牛就会发狂撞穿钢制围栏,“虽然很难圈住,但这恰恰是培育顶级牛肉所需要的那种充满生命力的公牛”。全场哄堂大笑,他也借此总结道:“如果未来 15 到 20 年我能一直与了不起的人做这些极高品质、令人惊艳的事,那这就会是非常充实而美好的人生。” - **产品哲学的分野**: - **Good(有用、优秀)**:满足日常生活刚需,促进连接与商业运转(如 33 亿日活用户的社交产品家族)。 - **Awesome(惊艳、震撼)**:令人心潮澎湃、对人类未来产生憧憬,代表着超越纯粹功利性的技术浪漫主义。 - **个人探索与生活延伸**: - 携手妻子普莉希拉·陈投身解决尖端医学与生命科学谜题。 - 委托艺术家 Daniel Arsham 为妻子创作雕像,重新唤醒“为心爱之人立像”的古罗马传统艺术风尚。 - 在夏威夷考艾岛经营高品质和牛牧场,体验从农业选种到饲养极客式的跨界乐趣。 --- ### [02:08:27](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7707s) 疫情反思、危机洗礼与孤注一掷的决心 主持人好奇地追问,这种兼具生活松弛感与技术豪赌的心态究竟是何时确立的,为何与多年前那个谨慎内敛的扎克伯格相比显得如此激进与不同?扎克伯格回顾道,这一转变的催化剂很大程度上来自于 2020 年新冠疫情期间办公模式的变化。作为一个性格相当内向的人,扎克伯格虽然能从与优秀同事的高频互动中汲取灵感,但同样极其依赖独处时间来整理思绪。疫情初期的居家隔离与全行业远程办公,恰恰给了他抽身退后、冷静审视全局的宝贵契机。而与此同时,美国国内极其复杂的政治分裂局势将 Meta 推至舆论的风口浪尖,引发了他对公司使命与自身定位的深层反思。 在此期间,Meta 内部早年孵化的一些前沿探索项目走到了历史的十字路口:始于 2014 年的 Reality Labs 硬件与空间计算体系,以及始于 2012 至 2013 年的 FAIR(基础人工智能研究机构)都初具规模。扎克伯格意识到,公司不能再把它们当作业余爱好(hobby)浅尝辄止,必须做出决断:“我们是要全力孤注一掷(double down),还是就当小打小闹?我的答案是:必须全力以赴。” 他清醒地意识到大规模扩建 AI 算力集群与激进推进 Reality Labs 硬件研发势必伴随着巨大的短期痛苦,华尔街与投资者短期内绝对无法理解并会极其厌恶这种投入。但他未曾预料到的是,激进投资恰逢宏观经济衰退与广告业寒冬同步袭来,Meta 的股价随后遭遇断崖式暴跌,市值蒸发了近 80%。扎克伯格感叹,面对这种极具杀伤力的危机,“你只有通过挑战才能真正看清自己是谁;相比市值缩水 80%,丢掉一半市值在当时都显得微不足道了”。但即便在承受前所未有的外部质疑与内部压力时,他也从未动摇过推进这些战略底牌的信念,因为他深信这些决定从长远看对世界至关重要,且终将收获历史的回报。 ### [02:11:22](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7882s) 品牌重塑与命名:向前奔赴,绝不临阵逃避 访谈进入尾声阶段,主持人抛出一个萦绕已久的“快问快答”问题:在拥有 AI、AR、VR 以及如此庞大的应用矩阵背景下,如果放在今天进行品牌重塑,扎克伯格还会选择“Meta”这个名字吗?扎克伯格毫不犹豫地表示自己非常喜欢 Meta 这个名字,既简短又有力。他回忆起当时的重塑讨论:许多外界人士并不知道,Facebook 本身不仅在持续增长,而且规模已经极其庞大;公司早已从最初的“Facebook 加上几个小应用”,演进为坐拥 4 款用户量超 10 亿的超级应用的庞大矩阵(未来三年内若 Threads 保持增长,甚至有望增至 5 款)。因此,继续用其中某一款单一应用来命名整个母公司,逻辑上已经行不通。 当时恰逢 Facebook 面临诸多政治舆论风波和品牌信誉挑战,公司内部不少人提议更名,潜意识里其实是想“逃离 Facebook 这个负面标签”。但扎克伯格坚决拒绝了这种逃避心态。他当时明确表态:“我们绝不逃避。”更名的唯一前提,必须是找到一个能够真正唤起公司所要构建的未来的全新品牌,因为“我们要向前奔赴(run towards something),而不是临阵逃跑(run away from things)”。当团队提出 Meta 时,他认定就是它了。即便面对巨大争议,公司也选择在当时加倍押注核心愿景。针对主持人提出“是否应该选一个更具机动性、不把自己框死在特定未来的中性品牌”的假设,扎克伯格强调,Meta 的文化历来是全员锚定一个愿景并奋勇直前,而不是给自己留退路,“如果在我们面前立一面墙,墙上势必会被撞出一个‘马克形状’的洞”。 ### [02:15:11](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8111s) 开放与封闭之争:与苹果的 15 年意识形态较量 主持人提到扎克伯格从早年知名的“年度挑战(annual challenges)”演变成了如今近乎“每周新挑战”——从设计定制 T 恤、制作雕塑,到投身巴西柔术与综合格斗等极限对抗运动。在被问及这种高强度竞争心来源于何处时,扎克伯格将话题延伸至科技格局的竞争。除了社交产品与底层平台外,他将苹果视为一个被外界严重低估的战略级对手。在扎克伯格看来,未来 10 到 15 年,科技界将迎来一场关于下一代计算平台底层架构的深刻意识形态较量:究竟是走向苹果代表的封闭垂直集成模式,还是重归开放生态? 扎克伯格指出,计算史上的每个时代(无论是 PC 还是移动时代)都存在封闭与开放两种路径。当前人们普遍存在“近因偏差”(recency bias),因为 iPhone 赢得了移动时代的领导权并斩获绝大部分利润,导致行业很多人盲目认为“封闭集成就是更优越的模式”。但他回顾道,在 PC 时代,由 Windows 构建的开放生态才是领导者。他的长远目标,就是在未来 10 至 15 年内为 AI、智能眼镜等下一代计算平台打造开放生态,并全力推动开放平台取胜。这不仅关乎硬件或产品功能的竞争,更是深刻的价值观之战——就像 Meta 推出开源模型 Llama 一样,他希望未来任何像当年身处大学宿舍的年轻创业者,都可以无需向任何人“申请许可”,就能自由地在开放平台上构建出惊艳世界的技术与产品。 ```mermaid flowchart TD accTitle: Computing Platform Paradigms Across Eras accDescr: Comparison of closed integrated models versus open ecosystem models across PC, Mobile, and Next-Gen platforms. subgraph PC_Era["PC 时代 (PC Era)"] A1["开放生态 (Windows)<br/>★ 赢得主流市场领导地位"] A2["封闭集成 (Macintosh)"] end subgraph Mobile_Era["移动时代 (Mobile Era)"] B1["封闭集成 (Apple iPhone)<br/>★ 占据商业与体验制高点"] B2["开放生态 (Android)"] end subgraph NextGen_Era["下一代平台 (Next-Gen: AI & 智能眼镜)"] C1["Meta 阵营<br/>主打开放平台与生态 (如 Llama / 开放硬件)"] C2["Apple 阵营<br/>延续封闭垂直集成体系"] C1 -.->|"意识形态与架构较量<br/>(未来 10-15 年)"| C2 end ``` ### [02:18:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8335s) 给创业者的建议与一件独一无二的 T 恤 在访谈最后的总结提问中,主持人请扎克伯格为台下众多处于当前繁荣科技环境中的年轻创业者提供建议,尤其是不要盲目套用 2004 年扎克伯格的旧模板。扎克伯格真诚地建议:创业者必须做自己真正热爱并深切关心的事。虽然 Meta 的方法是“极速学习与试错”,但并不意味着这是唯一的正确路径,不同公司有完全不同的成功方式。 他分享了一段温馨的家庭趣事:前不久带女儿去看了泰勒·斯威夫特(Taylor Swift)的演唱会,女儿激动地对他说:“爸爸,我长大后想像 Taylor Swift 一样!”扎克伯格当时打趣回答:“你不行,那份职业你做不了。”女儿认真想了想后改口道:“好吧,那我长大后,要让别人想像奥古斯特·陈·扎克伯格(August Chan Zuckerberg)一样!”扎克伯格由衷为女儿的自信喝彩。他用这个故事寄语所有创业者:“从别人的成功与失败中学习,但永远要走属于你自己的路(do your own thing)。” 访谈在掌声中走向高潮,Acquired 主持人 David 和 Ben 为扎克伯格送上了一份特殊心意。尽管扎克伯格过去以常年穿同款灰色 T 恤闻名(如今已转向定制潮流服饰),他们依然专门为他定制了一件全球唯一的“Zuck 尺码”T 恤。T 恤背面印有特殊的 GPS 经纬度坐标,其中第一组坐标正对应着扎克伯格当年写出 Facebook 第一行代码的哈佛大学柯克兰宿舍(Kirkland House)。 ### [02:21:35](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8495s) 告别马克·扎克伯格与全场致谢 随着访谈进入尾声,主持人向马克·扎克伯格(Mark Zuckerberg)致以热烈的感谢,感谢他亲临旧金山 Chase Center 的舞台,为当晚这场极具纪念意义的现场活动画上完美的一笔。全场观众报以雷鸣般的欢呼与掌声。两位主持人 Ben Gilbert 与 David Rosenthal 难掩内心的激动,直言今晚将成为他们人生中“永远无法忘怀的一夜”。 为了让这届容纳数千名观众的 Chase Center 专场顺利落地,幕后筹备付出了巨大的心血。主持人透露,整个夏季数十名核心团队成员以及现场近千名工作人员紧密配合、日夜奋战,才最终呈现了这一场堪比科技界顶级盛会的现场秀。他们特别向幕后默默付出的所有工作人员表达了由衷的敬意,并引导全场为他们献上热烈掌声。 随后,主持人逐一向本场活动的所有重磅嘉宾及其支持团队致谢: - 感谢马克·扎克伯格及在筹备前期与节目组深入沟通的 Meta 整个高管团队。 - 感谢 Spotify 联合创始人兼 CEO 丹尼尔·埃克(Daniel Ek)以及 Spotify 团队。 - 感谢来自 Bloomberg《The Circuit》节目的艾米莉·张(Emily Chang)与 Lauren。 - 感谢英伟达(NVIDIA)创始人兼 CEO 黄仁勋(Jensen Huang)以及英伟达团队的 Milene、Janine 等人。 - 幽默致谢爱马仕(Hermès)为两位主持人今晚的登台提供了体面考究的着装支持。 - 最重要的是深情感谢各自的家人与挚爱的妻子们,感谢她们在长达数月的筹备期中所给予的无条件理解与支持。 - 压轴致谢 Jamie Dimon、摩根大通(JPMorgan Chase)以及 J.P. Morgan Payments,称这不仅让整场盛会成为可能,更是一次梦幻般的合作伙伴关系。 在向全场听众送出标志性的“Listeners, we will see you next time!”告别语后,现场舞台正式交给了为 Acquired 创作并演唱标志性主题曲的音乐人 Mike Taylor。 --- ### [02:23:25](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8605s) 现场高潮:Mike Taylor 演绎《Who Got the Truth?》 音乐制作人兼歌手 Mike Taylor 登台,全场再度爆发出热烈欢呼。随着熟悉的节奏响起,Mike Taylor 现场完整演绎了 Acquired 播客的标志性主题曲《Who Got the Truth?》。富有感染力的现场演唱将全场气氛推向最高潮,歌词中对信息时代舆论喧嚣、观点撕裂以及对真相与本质的探寻,精准呼应了 Acquired 深度挖掘商业历史与底层逻辑的精神内核。在“Acquired LIVE from the Chase Center”的现场呐喊与全场观众的齐声喝彩中,这场历史性的万人现场秀圆满落幕。 ## Notable quotes > [36:48](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2208s) 当你的产品体验明明烂到令人发指,却依然被用户疯狂使用时,你就知道自己肯定抓住了某种非同寻常的真需求。 — 丹尼尔·埃克(Daniel Ek) > [46:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2768s) 我对 YouTube 有点看空,主要是因为它根本不是一个终点站(destination)。 — 本·吉尔伯特(Ben Gilbert) > [46:08](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=2768s) 有谁会闲着没事主动打开 YouTube 去‘发现’新内容啊? — 大卫·罗森塔尔(David Rosenthal) > [01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) 如果把这 32 年间经历的所有挑战、苦难、痛苦和折磨,全部压缩塞进一个 29 岁年轻人的大脑里,这个人绝对不可能有勇气去创立这家公司。 — 黄仁勋(Jensen Huang) > [01:10:13](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4213s) 创业者真正的超能力恰恰来自于某种程度的‘无知’(ignorance)——正因为你根本不知道前路究竟有多难,你才敢于迈出那一步。 — 黄仁勋(Jensen Huang) > [01:13:12](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4392s) 看着老黄在视频里澄清发言,我心想,咱们可能得直接把下一次 live show 的场地给预订了,专门用来给我在今晚可能说错的所有话道歉——开玩笑的,我可不再道歉了(I don't apologize anymore)。 — 马克·扎克伯格(Mark Zuckerberg) > [01:13:12](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=4392s) 人们天生会低估未来的痛苦程度,但也正因如此,我们才敢于启程去创造伟大的事物。 — 马克·扎克伯格(Mark Zuckerberg) > [01:31:38](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=5498s) 马克就像在玩一款回合制策略游戏(Turn-based strategy game)。他唯一的策略就是确保自己获得比其他玩家多得多的‘回合数’(Turns),并且确保自己在每一个回合中汲取的信息和学到的东西都远超下一个人。 — 大卫·罗森塔尔(David Rosenthal) > [01:47:22](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=6442s) 在商业中,当你身处顺境时,反而很难看清下一步该怎么做才能从赢走向大赢;但当你陷入败局时,该做的事情往往清晰无比,关键只在于‘你是否有足够的痛苦承受力(Pain Tolerance)去把它咬牙扛下来’。 — 马克·扎克伯格(Mark Zuckerberg) > [02:01:51](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7311s) 如果我们拥有自己的硬件平台,公司的利润可能是现在的两倍。 — 马克·扎克伯格(Mark Zuckerberg) > [02:04:00](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7440s) 做‘优秀的东西(good things)’与做‘令人惊叹的东西(awesome things)’之间有着本质的区别。 — 马克·扎克伯格(Mark Zuckerberg) > [02:11:22](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=7882s) 我们要向前奔赴(run towards something),而不是临阵逃跑(run away from things)。 — 马克·扎克伯格(Mark Zuckerberg) > [02:18:55](https://www.youtube.com/watch?v=KVc7EVfWq3M&t=8335s) 从别人的成功与失败中学习,但永远要走属于你自己的路(do your own thing)。 — 马克·扎克伯格(Mark Zuckerberg) ## Mentioned 本·吉尔伯特(Ben Gilbert), 大卫·罗森塔尔(David Rosenthal), 迈克·泰勒(Mike Taylor), 杰米·戴蒙(Jamie Dimon), 丹尼尔·埃克(Daniel Ek), 艾米莉·张(Emily Chang), 黄仁勋(Jensen Huang), 马克·扎克伯格(Mark Zuckerberg), 普莉希拉·陈(Priscilla Chan), 萨提亚·纳德拉(Satya Nadella), 里德·霍夫曼(Reid Hoffman), 泰勒·斯威夫特(Taylor Swift), 麦克斯·诺伊基兴(Max Neukirchen), 奥马尔·法鲁克(Umar Farooq), 达斯汀·塞德威克(Dustin Sedgwick), 迈克·阿米里(Mike Amiri), 丹尼尔·阿尔轩(Daniel Arsham), Acquired, Spotify, Meta, Facebook, 摩根大通(J.P. Morgan Chase), 摩根大通支付(J.P. Morgan Payments), 英伟达(NVIDIA), Alphabet, Google, YouTube, 微软(Microsoft), 领英(LinkedIn), SpaceX, 星链(Starlink), Statsig, Crusoe, Reality Labs, 苹果(Apple), 雅虎(Yahoo!), 雷朋(Ray-Ban), 依视路陆逊梯卡(EssilorLuxottica), Ray-Ban Meta 智能眼镜, Llama, Onyx, The Eras Tour, Who Got the Truth ## Video description Here it is: the complete video of the most unbelievable night of Acquired’s nine-year life… our sold out live show at the Chase Center in San Francisco. We joked during the months (months!) of preparation leading up to this event that it was like planning a wedding for 6,000 Acquired fans, and the guest list included Jamie Dimon, Daniel Ek, Emily Chang, Jensen Huang and Mark Zuckerberg… no pressure! But thanks to our amazing partnership with J.P. Morgan Payments, together we were able to make something incredible. Tune in and enjoy the celebration! *Links:* - Mike Taylor, the truly incomparable performer of Who Got the Truth: https://open.spotify.com/artist/30ejUciK31BCg0IVCbt1dW - Mike Amiri (who designed Mark’s shirt): https://amiri.com *More Acquired:* - Get email updates https://www.acquired.fm/email and vote on future episodes! - Join the Slack http://acquired.fm/slack - Check out the latest swag in the ACQ Merch Store https://www.acquired.fm/store! Timestamps: 00:00:00 Mike Taylor - Who Got the Truth? 00:02:38 Jamie Dimon 00:04:37 Bloopers 00:09:26 Daniel Ek 00:38:41 Statsig 00:40:32 Crusoe 00:43:07 Emily Chang 01:05:50 Max Neukirchen & Umar Farooq 01:10:13 Jensen Huang 01:13:12 Mark Zuckerberg 02:22:20 Thank yous 02:23:25 Mike Taylor - Who Got the Truth? _Photo Credit: Mark Zuckerberg by Jeff Sainlar / Meta_ _Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions._ [Source](https://www.youtube.com/watch?v=KVc7EVfWq3M)

Source quotes

[36:48] 丹尼尔·埃克(Daniel Ek): 当你的产品体验明明烂到令人发指,却依然被用户疯狂使用时,你就知道自己肯定抓住了某种非同寻常的真需求。 [46:08] 本·吉尔伯特(Ben Gilbert): 我对 YouTube 有点看空,主要是因为它根本不是一个终点站(destination)。 [46:08] 大卫·罗森塔尔(David Rosenthal): 有谁会闲着没事主动打开 YouTube 去‘发现’新内容啊? [70:13] 黄仁勋(Jensen Huang): 如果把这 32 年间经历的所有挑战、苦难、痛苦和折磨,全部压缩塞进一个 29 岁年轻人的大脑里,这个人绝对不可能有勇气去创立这家公司。 [70:13] 黄仁勋(Jensen Huang): 创业者真正的超能力恰恰来自于某种程度的‘无知’(ignorance)——正因为你根本不知道前路究竟有多难,你才敢于迈出那一步。 [73:12] 马克·扎克伯格(Mark Zuckerberg): 看着老黄在视频里澄清发言,我心想,咱们可能得直接把下一次 live show 的场地给预订了,专门用来给我在今晚可能说错的所有话道歉——开玩笑的,我可不再道歉了(I don't apologize anymore)。 [73:12] 马克·扎克伯格(Mark Zuckerberg): 人们天生会低估未来的痛苦程度,但也正因如此,我们才敢于启程去创造伟大的事物。 [91:38] 大卫·罗森塔尔(David Rosenthal): 马克就像在玩一款回合制策略游戏(Turn-based strategy game)。他唯一的策略就是确保自己获得比其他玩家多得多的‘回合数’(Turns),并且确保自己在每一个回合中汲取的信息和学到的东西都远超下一个人。 [107:22] 马克·扎克伯格(Mark Zuckerberg): 在商业中,当你身处顺境时,反而很难看清下一步该怎么做才能从赢走向大赢;但当你陷入败局时,该做的事情往往清晰无比,关键只在于‘你是否有足够的痛苦承受力(Pain Tolerance)去把它咬牙扛下来’。 [121:51] 马克·扎克伯格(Mark Zuckerberg): 如果我们拥有自己的硬件平台,公司的利润可能是现在的两倍。 [124:00] 马克·扎克伯格(Mark Zuckerberg): 做‘优秀的东西(good things)’与做‘令人惊叹的东西(awesome things)’之间有着本质的区别。 [131:22] 马克·扎克伯格(Mark Zuckerberg): 我们要向前奔赴(run towards something),而不是临阵逃跑(run away from things)。 [138:55] 马克·扎克伯格(Mark Zuckerberg): 从别人的成功与失败中学习,但永远要走属于你自己的路(do your own thing)。

Source quotes

[4:00] David: That is how the sausage is made [22:19] Mark Zuckerberg: Spotify is so good [29:14] Daniel Ek: The rule I have with Mark is I don't try to go into a competition with them because I know it'll end badly for both of us. [29:14] Daniel Ek: talk is cheap [36:37] Daniel Ek: When your product is being used in spite of it actually being a pretty terrible experience, you kind of know you've got something. [46:08] Ben: bearish on YouTube primarily because it's not a destination [46:08] David: who goes to YouTube and discovers something? [54:03] Emily Chang's producer: Microsoft just bought LinkedIn and you have to interview Satya and Jeff Weiner in an hour. [70:13] Jensen Huang: of course I would start the company if I knew it would turn out this way [73:58] Mark Zuckerberg: learning through suffering [73:58] Mark Zuckerberg: Values are not what you write down on the wall, it’s like your lived behaviors [78:34] Mark Zuckerberg: social connection company [89:19] Mark Zuckerberg: technology companies [92:41] Mark Zuckerberg: If you want to wait until you get praised all the time, you're missing a bunch of the time when you could have learned a bunch of useful stuff. [96:53] Mark Zuckerberg: there are more smart people outside of your company than inside [131:35] Mark Zuckerberg: I like Meta. It's a good name. [138:55] Mark Zuckerberg: Look, learn from other people's successes and failures, but do your own thing.

Original transcript

[0:02] hey so um I know this isn't like the [0:06] best time to bring this up but um did [0:09] you bring the thumb drive with the who [0:11] got the truth mp3 for the sound crew no [0:15] why would I bring a thumb uh I did email [0:18] that probably like three weeks ago [0:21] though uh well um there's 6,000 people [0:25] out there waiting to hear it look uh the [0:30] team is really great I'm sure they'll [0:31] think of [0:36] [Music] [0:46] something [0:51] yeah who got the truth yeah is it you is [0:55] it you is it you who got the TR now now [0:59] yeah is it you is it you is it you sit [1:02] me down say it straight another story on [1:06] the way who got the [1:08] truth yeah everybody's [1:12] talking nobody's listening these days I [1:16] feel lost man lost in [1:19] opinions everybody's [1:22] fighting nobody's winning take me home [1:26] cuz I don't know what's going on in the [1:28] world I'm living [1:30] San Francisco please help me welcome to [1:32] the stage the creators of the acquir [1:35] podcast Ben Gilbert and David [1:41] Rosen oh my God [1:45] hi [1:48] yeah sit me down say it straight another [1:52] story on the way who got the TR yeah who [1:56] got the TR yeah [2:01] who got the San [2:05] Francisco Mike [2:09] Taylor [2:10] woo we didn't need the thumb drive we [2:13] didn't need the thumb [2:14] [Applause] [2:16] drive welcome to this episode of [2:18] acquired the podcast [2:21] about welcome to acquired live at the [2:24] chase Center [2:26] wo wow [2:30] this is [2:30] [Applause] [2:33] uh wow this is [2:35] unbelievable thank you all for coming uh [2:38] we have a very very special guest and [2:43] surprise to welcome us all here [2:46] tonight the CEO of JP Morgan Chase Jamie [2:52] Diamond hello acquired listeners welcome [2:55] to the chase Center and to acquired live [2:58] I'm Jamie Diamond chairman and COO of JP [3:00] Morgan Chase I'm happy to kick off the [3:02] show tonight and welcome all of you to [3:03] one of my favorite Arenas it's been a [3:05] great partnership all year between JP [3:08] Morgan payments and acquired [3:10] storytelling and educating about some of [3:11] the greatest companies in the world for [3:14] many of them just like many of you in [3:16] the crowd were thrilled to call you [3:17] friends and partners of the firm sorry I [3:20] couldn't be there in person tonight but [3:22] I hope everyone enjoys the show Ben and [3:24] David over to [3:27] you thanks Jamie [3:31] well a special shout out and a huge [3:34] thank you to JP Morgan and the whole [3:36] payments team especially Dustin Sedwick [3:38] the CMO of JP Morgan payments longtime [3:41] listener who's been like really the [3:43] driving force behind this whole thing [3:45] and his truly worldclass marketing team [3:47] Hannah Nick Vinnie Amy and Cari David [3:50] and I for the first time really now [3:52] understand what it is like to have a [3:54] glimpse of what a sort of real built out [3:56] team would look like and not just two [3:58] guys in their basement so thank you for [4:00] an amazing partnership Ben and I did not [4:03] put this on ourselves [4:06] tonight uh so what are we doing tonight [4:09] well as you all know Mark Zuckerberg is [4:12] in the [4:17] houseo so tonight we'll actually have [4:19] three acts not one uh Mark will be our [4:23] third act after intermission but we got [4:26] got a lot of great segments you know in [4:28] our first two acts here and some more [4:31] fun surprises sprinkled in in the middle [4:33] so um David what is the format like is [4:36] this an acquired episode well um [4:39] amazingly shockingly we we tell you all [4:42] all the time that we make when we make [4:44] an episode we sit in our houses in our [4:46] Studios we record all day for 9 hours we [4:49] turn that 9 hours into three or four or [4:53] five hours that you all here um and we [4:57] thought yeah that's probably not going [4:58] to play here but keep asking us you keep [5:00] emailing us so we want to put this [5:03] request this question to bed once and [5:05] for all here tonight here is what you [5:08] are missing in the full 9 hours of an [5:11] acquired recording [5:14] session I'm been trying to do a better [5:16] job getting airf flow in here while [5:17] we're recording cuz I think I get Dumber [5:19] at the end of episodes or at least I get [5:21] like I get exhausted and I think part of [5:23] it's the lack of oxygen it's really hot [5:25] in here and we've been going for 5 and a [5:28] half hours so let let me finish this [5:30] thing and then we'll take a bathroom [5:32] break I have a similar [5:34] [Music] [5:47] [Applause] [5:50] thought pour more champagne sorry about [5:53] [Music] [5:55] that hey Blue Angels [6:02] great only 9 minutes and 40 seconds of [6:03] bullshitting before we actually started [6:05] it's pretty good for us it's a new [6:08] record is this two in the weeds let me [6:10] take a stab at making it more Loosey [6:12] Goosey I think I can simplify all this [6:15] we got to advance the story more the [6:18] pacing is too slow oh this doesn't make [6:20] any sense okay great we can cut all that [6:22] then cut that just cut it let's cut all [6:25] that cut that skip it skip it yeah let's [6:28] skip it and keep moving [6:30] uh okay I think one of us has our [6:32] timelines wrong we've been so stop and [6:35] start do you think we should just [6:36] restart the whole thing we're 35 to 40 [6:39] minutes into this episode and nothing [6:41] has happened I think I would actually [6:42] feel better and more in the flow cuz [6:45] right now I'm like what did we cover [6:46] what did we not I think what you're [6:47] saying is replace all of what we did [6:49] before I'm going to go re-record at [6:50] least the first part maybe that whole [6:52] thing I don't recall exactly how we [6:54] started though I don't remember the last [6:57] thing you said I don't either [7:00] uh I think I've been like interrupting [7:04] no I think it's great I no please keep [7:05] doing no no I don't I don't I I don't [7:07] find it annoying at all no the goal is [7:09] like make the best stuff I actually [7:11] quite like how this is puzzling [7:13] [Music] [7:15] in hang on one second you got to stop [7:18] making that face oh be was that making a [7:20] face and take it without the [7:22] um [7:24] um [7:25] uh uh uh [7:29] uh totally totally totally totally [7:34] totally [7:40] totally go for [7:42] [Music] [7:45] it dude it is so hard to keep all this [7:48] information in our heads like I feel [7:50] like I'm like out of [7:52] ram what's going [7:54] [Music] [7:55] on I just heard a beep on your end okay [7:58] well that wasn't one of their best [8:00] episodes that is how the sausage is [8:05] made I think that actually is a good way [8:07] to end it so are are you done or [8:12] DMR I'm [8:13] [Music] [8:20] done thank you all for indulging us I [8:22] was not sure if that would play in an [8:24] arena this is what Steven has to deal [8:26] with every month so so obvious ly not [8:30] only are we not doing that we literally [8:31] can't we we I there's just fire marshal [8:34] issues so um David what are we doing [8:37] well tonight we thought we are going to [8:39] take the acquired Playbook and we're [8:42] going to throw it out the window and we [8:43] are going to throw a party instead uh it [8:47] is a celebration of Technology of the [8:50] San Francisco Bay area of woo San [8:54] Francisco [8:57] yeah uh some of the most important [9:00] businesses of our time and most [9:01] importantly it's a celebration of you [9:04] all we say you all on the show usually [9:07] you're not here you're here so tonight [9:10] you know normally we study that the past [9:12] often the far past tonight we're going [9:14] to kind of look at the present it's a [9:15] little unacquired but like you know once [9:17] every two and a half years or however [9:19] often we do a live show we want to [9:21] indulge so uh yeah we're going to [9:24] Indulge tonight indeed we are so to [9:27] start [9:29] we wanted to spend a couple minutes at [9:30] the top of the show here in our um First [9:33] Act uh just giving you all an update on [9:36] the state of acquired it has been quite [9:39] a year for us you and I have lived a lot [9:42] of life in one year we've both had kids [9:46] um The Wall Street Journal wrote about [9:49] us yeah uh and we've experienced some [9:53] some pretty amazing growth yeah and so [9:56] we were thinking like you know David [9:58] kind of pitched this to me and I'm like [9:59] we to stand up and give a keynote on [10:00] like the State of the Union of acquir [10:02] that's not that doesn't feel right but a [10:04] conversation would be great if it was [10:05] you know the right person to have a [10:06] conversation with and we were like who [10:08] is a big acquired listener kind of gets [10:10] what we're all about everyone in the [10:11] audience going to be like oh yeah that [10:12] person's one of us and is like you know [10:16] the world expert on [10:18] podcasting fortunately for us and all of [10:21] you tonight we're here to welcome all [10:23] the way from Stockholm the CEO and [10:26] founder of Spotify Daniel e [10:35] oo wow thank you so much [10:38] WoW [10:41] [Music] [10:49] Daniel wow this is pretty insane guys uh [10:54] I think this probably ought to be like [10:56] the biggest recording of a podcast in [11:00] the [11:01] world it's a little kind of an echoey [11:04] Studio yeah yeah we you guess should use [11:07] this as the studio every time I think [11:09] well you've been after us to do more [11:11] video for years that is true here you [11:14] are this is going to be a video for sure [11:15] all right well well love that love that [11:18] and you know it it's it's really amazing [11:20] for me to be here and just see you know [11:24] this and all of your guys success I [11:26] remember listening to you guys uh [11:29] as a fan I think starting 2019 and see [11:33] that we're now five years later uh from [11:37] a small base going to something like [11:39] this it's pretty remarkable to see and I [11:43] I don't know about you guys but I I [11:44] thought maybe to commemorate this moment [11:48] uh it'd be pretty fun I I know you don't [11:50] want to tout your success so I I thought [11:53] maybe I could do that for you so uh [11:56] maybe we can have a look at some of the [11:58] amazing stats and achievements you guys [12:00] have accomplished well thanks yeah I [12:02] know uh you pulled some data we pulled [12:04] some data uh this is the updated version [12:08] up here of um the kind of classic [12:10] acquired chart that we've been showing [12:12] which basically shows from when we [12:14] started in 2015 the kind of like organic [12:17] doubling year over year over year all [12:18] the way through today um and basically [12:21] since we don't Market the show or we [12:23] don't do any any paid marketing the only [12:25] way the show grows is we make an episode [12:27] a friend tells you know someone tells [12:28] their friend about it and on average [12:30] every listener tells one other one other [12:33] listener every year hey you should [12:35] listen and that person sticks and that's [12:37] kind of the whole thing yeah I mean it [12:40] it's pretty remarkable and on Spotify [12:42] alone you guys have now done over 5 [12:45] million hours and it tripled in the last [12:48] year pretty remarkable [12:50] right uh yeah big round of [12:53] applause so the uh so so so we did the [12:58] math or B did the math as he usually [13:00] does I believe that is over 400 years of [13:04] acquired that was we feel like it was [13:07] 400 years making the episodes in the [13:09] last year uh but that was listened to in [13:11] the past year yeah what what is the is [13:13] the Nintendo one the longest one you [13:15] guys have done I think Microsoft volume [13:18] two was our longest single episode but I [13:20] thank you for pulling this so the reason [13:22] the way this came to be is we asked [13:23] Daniel hey you know you have access to [13:25] data that um all podcasters sort of [13:27] dream of what is the most interesting [13:29] sight you can kind of pull out of it and [13:30] the thing that's the craziest to me [13:32] about this chart is that even though [13:35] acquired um here's how many downloads an [13:38] episode gets isn't like Celebrity Status [13:41] like it's not the craziest biggest in [13:43] the world because of the volume of our [13:45] episodes we all spend a lot of time [13:47] together like thank you for Lending us [13:49] your ears for all of those moments [13:50] because that that's that's what that [13:53] chart is to me is all the time we spend [13:54] together yeah but what what's really [13:56] cool for me too is just seeing the [13:58] fandom uh of the show so one thing is is [14:01] you know obviously seeing the sort of [14:02] total numbers but also seeing the [14:04] fandoms and you guys um added more than [14:08] 250,000 followers and that tripled last [14:11] year too so it's over 250,000 followers [14:13] on Spotify alone now on the chir show [14:16] which again is pretty remarkable to see [14:19] that kind of [14:20] growth um yeah there there's there's two [14:24] I'm like a reformed venture capitalist [14:26] so I can't help but like point out [14:27] things on charts uh there's two things [14:29] that are interesting about that chart [14:31] one is we've had like ridiculous [14:33] subscriber growth on Spotify I mean it's [14:35] just been uh you guys entering the [14:37] industry has created a ton of net new [14:40] audience of people who did not listen to [14:42] to podcasters before the second thing is [14:44] uh if you pull the chart back up again [14:46] you can see the Wall Street Journal [14:48] article in May in that insane uh you [14:52] know I know we keep talking about it but [14:54] this literally has never happened in the [14:56] decade of acquired where a single event [15:00] caused a kink in the chart uh and that [15:02] we see you guys see it it's crazy well [15:04] it's word of mouth in a new way but the [15:07] other part that was really cool to me uh [15:09] as I was looking through the data I kind [15:11] of expected this to be sort of an [15:13] English language thing only maybe the us [15:15] maybe UK that kind of thing but you guys [15:18] have truly grow grown worldwide um so [15:22] you know look at some of this stuff like [15:24] you have Mexico growing five times uh [15:27] Hong Kong Israel Singapore acquired is [15:31] global uh so it's amazing to see here in [15:33] in San Francisco that we got 6,000 [15:35] people in one place but I'm pretty sure [15:37] you guys should take this on the road [15:39] and we'll see if we can make it in other [15:40] places too when when you see the whole [15:43] Arc of the show tonight I think you'll [15:44] say oh yeah you can't take that on the [15:45] road yeah could could be could be well [15:48] you know it's maybe a timing question [15:50] you guys should be like the new rock [15:51] stars that tore around that would be the [15:53] the great thing to do um and you know it [15:56] it it's I I want to really kind of maybe [16:00] take the moment here and ask you guys [16:02] how all of this happened and by way of [16:04] context just to put put put this in [16:06] perspective in [16:08] 2019 um you know when we got into [16:11] podcast uh the world around podcast [16:13] listening in Spotify there was a few [16:15] million people uh listening to this and [16:18] you mentioned this but like our goal was [16:20] to sort of broaden this whole medium and [16:23] today there's over 150 million people [16:26] listening to podcast on Spotify and [16:28] obviously your show is a huge success uh [16:32] and something that people kind of [16:33] attracts people through the medium [16:34] because it's both pretty broad these [16:36] days but also very very deep like what [16:39] do you think contributed to that [16:42] success well you guys entering the [16:44] industry for sure um but I think you hit [16:47] on it with like broad but like when Ben [16:50] and I started this we thought you know [16:52] we used to talk about what our Tam was [16:54] we were Venture capitalists like what's [16:56] the Tam for acquir not that we even [16:57] thought about it as a business or [16:59] product but um and we're like I don't [17:01] know maybe there's what what's the [17:04] population of students in Business [17:05] Schools out there maybe that's our Tam [17:08] and then we were like well I don't know [17:10] maybe it's a little bigger than that [17:12] like maybe maybe it's you know everybody [17:14] who ever wanted to go to business school [17:16] or was interested like okay like what [17:18] what's that cap out that like a million [17:20] people maybe a mill a million felt like [17:22] Aram and what's happened to us and um [17:26] I'm I'm curious I think you guys have [17:28] have probably seen the same thing is [17:30] that even though we think we're super [17:31] nerds and we tell these very esoteric [17:33] stories they're just great stories right [17:37] and people of all types want to listen [17:39] to them right and the growth of the [17:42] medium like we have this ridiculous [17:43] Tailwind where we we we got lucky and [17:45] picked right in 2015 we stayed with it [17:47] we got better at the craft but like it [17:49] turns out people are super interested [17:51] thanks to all the wireless headphones [17:53] that exist now and uh I don't it's just [17:56] this weird cultural norm that's kind of [17:59] come into fruition that it's okay to [18:00] spend hours and hours and hours with [18:02] someone in your ears talking about [18:03] something that is interesting to them [18:05] and I just don't actually think that was [18:06] a thing in the early 2010s right so and [18:09] one of the things you obviously have [18:11] done is um you know added video to the [18:13] format and uh this is my plug of [18:16] hopefully getting you guys to finally [18:17] add video to Spotify as well but um what [18:21] do you think is next for the show uh [18:23] when it comes to that like what what do [18:24] you see the big innovation uh of AC chir [18:27] will be in the future [18:30] so I think our total dress well Market [18:32] is at least 10 times bigger than it [18:34] currently is today with our exact same [18:36] product if we just keep doing the work [18:38] and making the product better and [18:39] shipping one episode a month and the [18:41] question is like how much more can we do [18:44] without killing the Golden Goose like [18:46] how do you keep the main thing actually [18:48] can I turn this back on you like you [18:50] have massively expanded what Spotify [18:52] does since the original Vision uh how [18:55] should we the original Vision was you [18:57] were music on Facebook yeah how should [19:00] Founders think about like the only [19:02] reason that you are allowed to exist is [19:04] because you're really good at this one [19:06] core [19:07] thing but everyone you should do other [19:09] things well I mean I think it starts [19:11] with your audience right and knowing [19:13] your audience so like for instance we we [19:15] launched audiobooks uh about a year ago [19:17] but the sort of untold story about that [19:19] audiobooks launch is what happened in [19:22] Germany is all the record companies uh [19:24] started uploading audiobooks to the [19:27] service so they started to hacking the [19:29] system for all these other things and [19:31] when they ran out of that they actually [19:32] started uploading podcasts so podcast [19:35] turned out to be the Easter medium for [19:36] us to start with but eventually we added [19:38] sort of audiobooks too so I think you [19:41] you know most amazing things tend to [19:43] start with people kind of suggesting [19:45] things or maybe even doing things so it' [19:48] be interesting to kind of like figure [19:49] out what people are doing in and around [19:51] acquired already and that will probably [19:53] be your sort of [19:55] adjacency I think the other you know [19:58] video Ben and I talk a lot we'll talk [20:00] more about video throughout the evening [20:01] here um you know we've just always sort [20:04] of been of the belief of like nobody [20:06] wants to sit and watch us in our Studios [20:09] as Talking Heads going yak yak yak and [20:11] um but we've started to ask the question [20:14] of like is there for certain companies [20:17] we cover is there a rich visual tapestry [20:21] that we could do at the same level that [20:24] we try and create an audio tapestry it's [20:26] an absolute crime that we did 4 hours on [20:28] the entire multi hundredy year history [20:30] of Hermes and it was just audio like but [20:33] but it was an amazing show though right [20:35] thank you but audio is this like magic [20:37] thing where I'm going to drag my we're [20:39] going to end up doing more video but I'm [20:41] going to drag my feet kicking and [20:42] screaming all the way there because I [20:44] feel very passionately that the reason [20:47] that the caliber of person in this room [20:49] with all the busy things that you have [20:51] in your life the reason that you're open [20:53] to spending all this time with us is [20:55] because we don't take your full [20:56] undivided attention you can run you can [20:58] mow the lawn you can drive you can you [21:01] know everything that everyone does while [21:03] they listen to AC choir uh I I [21:06] like I remain unconvinced that we would [21:09] work as a 4-Hour video product yeah I [21:12] mean look I I don't know to be honest I [21:15] think this is probably the biggest thing [21:16] that surprised me is that um the the [21:20] world just keeps evolving uh constantly [21:23] so you talked about video and and you [21:25] know on Spotify it's been a huge growth [21:27] thing uh I would have said to you as [21:29] well people probably mostly why would [21:31] you want to watch any video but I think [21:33] younger consumers especially they don't [21:35] know what the differences they just want [21:37] to feel closer presence to the person [21:41] and I mean we saw it already with the [21:43] bloopers right it's like this is fun you [21:45] what you guys are doing and people have [21:47] a relationship to you guys too hence why [21:50] so many people are showing up here [21:52] tonight um and I I think video is just a [21:56] way to express that whether or not [21:57] they're watching the full four hours or [21:59] whether they diving in and out over a [22:02] particular type of segment um I I think [22:04] just giving the consumer the choice um [22:07] is sort of one of the big things and [22:09] that's kind of what we're leaning into [22:11] as well is just allowing the Creator and [22:13] the consumer to more directly interact [22:16] in more in Noel ways it's funny there's [22:19] um you know your question was what's [22:21] next for acquired uh we uh we're going [22:23] to do a normal episode after this uh [22:26] after tonight um that normal [22:29] episode probably will focus on a menow [22:31] park based technology company um and one [22:36] of the lessons that we're already [22:37] starting to learn SP what we can't take [22:41] that back now this is live this is live [22:44] um it's just not not holding the current [22:48] state of things and vision of what you [22:50] are too tightly uh and um you know we [22:55] want to talk well you've learned a lot [22:56] from Mark over the years uh you you all [22:59] have been very close um Spotify started [23:01] on Facebook uh and here you are you're [23:04] the biggest podcasting platform in the [23:06] world so you didn't hold on to that [23:08] Vision too tightly right um yeah uh so [23:12] can I turn that into a question please I [23:15] was actually going to I wanted to leave [23:16] you some space before we ask I [23:18] appreciate that it's what great [23:19] partnership is all about uh do you [23:22] remember so David and I have one way of [23:24] growing which is make a good episode and [23:25] hope people tell their friends do you [23:27] remember in the days of Spotify when you [23:30] figured out oh Facebook is going to be [23:32] this unbelievable channel for [23:35] us yeah I mean it's it's um I think it [23:39] starts like so many other things I think [23:42] Mark and I we just struck this sort of [23:43] friendship and we started talking about [23:46] um you know the the the little told [23:48] story is um if I remember this correctly [23:51] I think Mark even pre Facebook was [23:55] trying to do a music startup oh yeah and [23:57] and then he was like yeah yeah this [23:58] feels like a difficult thing so H yeah [24:02] exactly and and so I think he's like I [24:05] think pretty much every great [24:06] entrepreneur in the valley tried to do a [24:08] music startup um and so he he was [24:12] definitely passionate about it and then [24:14] um his idea obviously was a social music [24:17] product and he and I we started talking [24:19] about it I in the beginning it started [24:22] like he wanted mostly Spotify to be more [24:24] social and I kind of said well I don't [24:26] know that that's do you remember how you [24:27] got introduced cuz Spotify was not like [24:29] Spotify the way what it is today a [24:31] pillar of the world yeah well I I got [24:33] introduced to Mark through Shawn Parker [24:36] um and so Sean kind of said to to suck [24:40] like hey you got to meet this [24:41] entrepreneur from Sweden and I remember [24:44] like Zach at the time was living in a [24:46] very small house and we went for a [24:49] barbecue at his house this is probably I [24:52] don't know 2008 or 9 like one of those [24:56] things and then we kind of struck a [24:58] friend ship and we started jamming on [25:01] various ideas around how to make music [25:03] more social and you weren't even live in [25:05] the US yet I don't think or you we [25:06] definitely were't live uh so the sort of [25:08] Secret of Spotify was uh we sort of seed [25:11] One account at a time to get a bunch of [25:14] influencers to kind of like it and I [25:15] think Sean in particular he kind of used [25:18] it as a social currency so everyone came [25:20] to him to kind of try to get yeah oh the [25:23] invites oh man the currency of the the [25:27] Spotify invites yeah it was a big big [25:30] thing for for quite a few years before [25:32] we launched where it was kind of the [25:33] secret thing if you were in the club or [25:35] if you weren't um and um anyway he got [25:39] mark on it and I think Mark kind of [25:42] wrote this um status update like Spotify [25:44] is so good and then you know everyone's [25:48] like how did you get this this was kind [25:49] of the main thing when can I get it how [25:51] can I do it and um yeah then we started [25:54] jamming around like what a social music [25:56] product ought to be and and uh we had [25:59] this sort of idea wouldn't it be cool [26:01] sort of like with [26:03] um um you know icq at the time where you [26:06] had these status updates like wouldn't [26:08] it be cool um to be able to check out [26:10] what your friends were listening to and [26:13] we kind of got to work together built [26:16] that product uh and coincided it with [26:19] the Spotify us launch and this was when [26:21] news feed was really young right so [26:23] there was like you'd be scrolling [26:24] through your newsfeed and it would be [26:25] giving you these status updates of what [26:27] your friends were listening to piped in [26:28] directly from Spotify exactly right so [26:30] you could see all your friends it [26:32] actually still exists in Spotify product [26:35] um on desktop so you can kind of see [26:37] what your friends are listening to real [26:39] time it's one of our more popular Legacy [26:41] features that's been around now for like [26:43] 13 years it was the right sidebar but I [26:45] feel like I haven't seen it in a while [26:46] maybe I just it's still there it's still [26:48] there so but this gets to the point of [26:50] like uh social music listening was this [26:54] core Insight that you had Mark was on [26:56] board to kind of build it together and [26:58] and and let you you know use the I mean [27:01] he got a lot out of it too but let you [27:03] use Facebook to distribute it um and yet [27:07] everyone here who's a Spotify customer [27:09] today when I think Spotify I think oh [27:12] that's like the easy way to access music [27:14] podcasts and now audiobooks but I don't [27:15] think like oh it's a social listening so [27:18] what point did you kind of like like let [27:20] go of that precious idea and say maybe [27:22] the social is like important but not [27:24] that important well I I I still think U [27:26] social is hugely important and for [27:28] instance we have um we have a product [27:30] now called Jam which allows you to uh be [27:34] with your friends and actually alter [27:35] what you're listening to at the same [27:37] time and is growing incredibly rapidly [27:40] uh right now uh all over the world so [27:42] it's it's something that you know I [27:44] think very much is a social product but [27:46] uh while I still think music is very [27:48] social I think what we got wrong in the [27:50] product was this sort of notion that [27:52] just seeing sort of what all of your [27:54] friends are listening to may not be the [27:56] sort of right social product but if you [27:58] instead sort of say like I want to work [28:01] together with my friends and I want to [28:02] have a Shar listening whether we're in [28:04] the same place or not that turns out to [28:06] be pretty amazing thing so you see [28:08] people do it at parties where you can L [28:10] literally join someone's jam and you can [28:12] sort of all queue up songs together [28:14] instead of taking my phone or your phone [28:17] we could all be sort of working together [28:18] on something but what we saw during the [28:20] pandemic and that's like where Jam sort [28:22] of started was we we started seeing that [28:24] people were using this to stay connected [28:26] as well by having sort of this shared um [28:29] you know consistent music listening [28:31] where we were all listening to the same [28:33] thing at the same time even though we [28:34] were sort of apart it's like the best of [28:37] linear TV brought to music yeah so I [28:40] think we're still sort of um you know [28:42] definitely playing with the social [28:44] Concepts um and and trying to get that [28:47] right but I think you know Facebook kind [28:49] of moved off of this sort of pressence [28:50] based social aspect for all things so it [28:53] wasn't just music actually people were [28:55] doing it for games back then too so it [28:57] was like you know I've uh created [29:00] another [29:01] Farmville we remember that era yeah what [29:05] was it uh like north of 10% of [29:07] Facebook's Revenue at IPO was from was [29:09] Zinga yeah yeah what um I mean this is [29:14] all fun history I'm curious though you [29:16] we're going to talk to Mark later [29:17] tonight um are you doing research live [29:19] on stage yeah yeah yeah definitely um [29:22] you know you've had a relationship a [29:24] pretty close relationship for 15 plus [29:27] years as fellow Founders in the [29:30] trenches what do what have you taken [29:33] from him that you've brought into [29:35] Spotify and how you run the company um [29:38] me me many things and I've learned so [29:40] much from him and and the rest of the [29:42] team at meta um as well but I think [29:45] specifically from him um you know he's [29:48] the probably the best learner I've ever [29:51] seen um you know you can you can have a [29:54] conversation with them about a topic him [29:57] in on know very much about it and then [29:59] the next time he would know more than I [30:02] would say most experts about the subject [30:04] uh and it's really remarkable just how [30:08] tenacious he is uh sort of about [30:10] learning and staying curious about [30:13] things so that's definitely been a super [30:15] inspiring thing for me and I think that [30:17] this sort of shines through with how he [30:18] runs the company too he has a very sort [30:21] of clear idea but he also you know takes [30:24] a lot of feedback and sort of iterates [30:27] uh on that and you know it's everything [30:29] from one of the cool things for me has [30:31] been seeing how he runs meetings you [30:34] know uh for instance I kind of like [30:36] having relatively small meetings with [30:38] people Mark the average meeting he has [30:41] is like 15 to 20 people in the room and [30:44] how you make um you know a product [30:46] review or discussion productive with 15 [30:50] and 20 people still get people to be [30:51] heard like he he's he's very very good [30:54] at that stuff and that's just a few of [30:57] the things that I've learned which has [30:58] helped me as a leader as [31:01] well can I ask maybe this a little bit [31:03] more pointed um you are a a kind person [31:07] you are a softspoken person but you are [31:10] a fierce [31:11] competitor [31:13] it's okay so we haven't told you this [31:15] when when we interviewed you what 18 24 [31:18] months-ish ago uh in Stockholm um I'd [31:22] never been to Sweden before I don't [31:23] think you had either and we left we [31:25] thought just like what a lovely country [31:28] what lovely people Daniel is like the [31:32] you know most generous person we could [31:34] imagine you're here [31:36] tonight [31:37] and that guy is a fierce competitor and [31:42] there is a reason why he has built [31:45] Spotify and and very strategic like I [31:47] think you're you see the chessboard Mark [31:50] is like that too do you feel like your [31:52] relationship do you amplify each other [31:55] well I mean the the rule I have with [31:57] Mark is I don't try to go into a [32:00] competition with them because I know [32:01] it'll end badly for both of us so you [32:04] know as you know Mark likes Sports uh so [32:07] one of the things I don't do with Mark [32:09] is play sport for exactly this reason [32:12] you know uh what was the last time he [32:14] sort of tore his ACL when someone you [32:18] know rather than giving up so I I feel [32:21] like it and pretty badly so I I I I like [32:24] playing when I know I'll win so I think [32:26] it's a pretty good thing [32:28] not do that yeah you see I mean if I [32:31] were to characterize like why Spotify [32:34] worked it feels like there's an [32:35] incredible amount of tenacity and a [32:37] willingness to run at a problem that [32:38] like a lot of people had tried and [32:39] failed at before but there is also this [32:41] like you kind of BU your time you kind [32:44] of wait for the opening and then you [32:45] figure out a game you know that you can [32:47] win and then you go execute in that game [32:49] yeah that that's that's pretty much spot [32:52] on to be honest that's that's one one of [32:54] the things we talk about a lot uh that I [32:57] don't say uh that much but Gustav who's [32:59] backstage here who's our um product [33:02] officer and CTO is we we say talk is [33:05] cheap most people talk about execution [33:07] and speed of execution let's move let's [33:10] go we actually spend a lot of time just [33:12] discussing and talking so the internal [33:14] saying that Spotify is talk is cheap [33:16] because we want to be really deliberate [33:18] about what it is we're doing and how [33:20] we're doing it you mean that as a virtue [33:21] like talk is cheap so let's talk a lot [33:23] because it's inexpensive to waste those [33:25] resources exactly right it's more [33:27] expensive build than most people think [33:30] um and so we actually spend a lot of [33:32] time discussing and and people get [33:34] really confused when they sort of enter [33:36] our culture they're like but why don't [33:37] we just execute and we're still sitting [33:40] and debating and sort of game theorizing [33:42] how this will play out and getting all [33:44] the things working in a certain way and [33:46] we have our sort of ways of doing that [33:48] now that we've sort of codified across [33:50] the company which I think is pretty [33:52] unique at this point uh but a part of [33:54] that is also because so to set the stage [33:57] is because we had to because remember [33:59] everything unlike many other products [34:01] when you're building a company you can [34:03] kind of sort of iterate and do stuff we [34:05] had to get the entire industry with us [34:07] so if we wanted to do something we had [34:09] to convince a bunch of people that it [34:11] was the right thing to do um and many in [34:14] many cases even making relatively simple [34:16] changes could take one or two years for [34:18] us to get license so you better be sure [34:21] that you're right when you're doing it [34:23] and this is kind of now become a thing [34:25] in how we're doing stuff is we're [34:27] probably not going to be the fastest in [34:29] you know moving fast and breaking things [34:32] but uh we are going to be very [34:35] deliberate and we're probably going to [34:36] be more right when we actually do [34:38] something you're like the anti fail fast [34:40] the anti- move fast and break things the [34:42] anti- ship and iterate like well I'd [34:45] like to hope we can also ship and [34:47] iterate but yeah yeah but but we won't [34:49] be the fastest no [34:52] h which is funny coming back to [34:55] podcasting um you did enter the business [34:58] until 2019 uh I assume you were thinking [35:01] about it for a long time after that and [35:04] when I'm sure you know uh when did you [35:08] become the market leader in [35:10] podcasting oh W um I I think it sort of [35:14] depends on which markets you're kind of [35:15] looking at it um but um we were pretty [35:19] much it started happening in in quite a [35:21] few markets already 2020 and 2021 and in [35:26] 2022 we were pretty much the market [35:28] leader in most markets around the world [35:30] so 3 years yeah from launch why yeah why [35:35] that's that's the question and and did [35:36] you expect that it would be that fast [35:39] given that you were so methodical and [35:41] working so long to launch it we we don't [35:44] always know how fast this will be but I [35:46] I think we had a pretty good sense that [35:49] we could sort of iterate and improve our [35:52] way so sort of Hell Climb from the [35:54] mountain we were on when we saw the sort [35:56] of initial traction but I think the the [35:58] contrarium B we did unlike many others [36:00] did was you know at the time when we [36:03] launched it's uh it was sort of viewed [36:05] that you needed to have a different app [36:07] for everything right like you had to [36:09] have a separate podcasting app and [36:10] podcasting music were very different and [36:13] for us it's just listening and what we [36:16] realized is we should use this base of [36:19] what was then several hundred million [36:21] people and today's Way north of half a [36:23] billion people and just serve them more [36:25] stuff and it turns out that like what we [36:28] saw all the time it wasn't like our [36:29] music listeners weren't listening to [36:32] podcast so why not use this experience [36:35] and also recommend them great other [36:37] stuff and we went from there and then a [36:39] year ago we also added audiobooks [36:42] because that turned out to be another [36:43] way to increase people's listening and [36:45] that they were also spending time doing [36:47] but but to your point on being like slow [36:49] and methodical uh okay you had channel [36:52] to people okay they knew you're for [36:53] listening but if you're stuffing stuff [36:55] in that channel that is not [36:58] the thing that they want then that blows [37:00] up your core and so I think like my [37:02] takeaway at least is the you you figured [37:05] out a way to do it where you made sure [37:08] that people were going to be open to [37:10] using you for this new yeah job of of [37:12] course you're right obviously just [37:14] because you have the distribution [37:15] Advantage doesn't mean it'll work um but [37:18] I think going back to it what's so [37:20] amazing with the platform is every time [37:22] we try to do something deliberate sort [37:24] of top down it it's sort of fail and [37:28] most of the time actually what we see is [37:29] the inklings of something already [37:31] existing on the platform and then [37:33] growing from there so I mentioned this [37:35] at the beginning but Germany was sort of [37:37] an early indicator for a lot of things [37:40] for us both in podcasting and in in [37:42] books and uh what I realized even before [37:45] we launched books for instance uh was uh [37:48] around 2018 we started seeing books [37:51] showing up on the top list in Germany uh [37:54] of the most uh sort of you know uh [37:57] listen to music tracks right it wasn't [38:00] music it was clearly books but it sort [38:02] of made it all the way up to the top [38:04] list and um shortly thereafter we [38:07] started showing up as the biggest book [38:09] distributor in the country but we [38:11] weren't even trying and it was actually [38:13] a pretty horrible experience to listen [38:15] to books on Spotify so when your product [38:17] is being used in spite of it actually [38:19] being a pretty terrible experience you [38:21] kind of know you've got something so [38:23] that was the sort of Genesis for how we [38:25] then were able to build and sort of band [38:28] it's awesome well that's it for this [38:32] segment are you going to stick around [38:33] and watch the rest of the night oh yeah [38:35] for sure I'm so excited awesome well [38:37] Daniel thank you thank you so much for [38:39] being [38:40] here all right listeners this is a great [38:43] time to tell you about one of our [38:44] favorite companies in the acquired [38:46] ecosystem stat Sig as you probably know [38:48] by now stat Sig is the world's first [38:51] product acceleration platform thousands [38:53] of companies from open AI to series a [38:55] startups rely on stat to ship fast learn [38:59] more and make smart decisions but you [39:02] may not know about all the ways in which [39:03] their story is directly tied to Facebook [39:06] story that Mark will share with us later [39:08] this episode indeed and Mark's most [39:11] famous catchphrase is probably move fast [39:14] and break things but despite instilling [39:16] this in Facebook's engineering culture [39:18] Facebook doesn't actually break very [39:20] often how Ben well Facebook invested [39:23] hundreds of thousands of engineering [39:25] hours in a set of internal tools these [39:27] tools let any engineer set up new [39:29] metrics ship new features and measure [39:31] performance in real time so that meant [39:33] anyone could just ship a new feature but [39:35] they always had the metrics to use as [39:37] guard rails and they could always roll [39:38] it back if anything broke totally [39:40] awesome you might wish that your team [39:42] could build products like Facebook did [39:44] ship fast make databased decisions [39:47] iterate rapidly but you need the right [39:49] tools so you're stuck right well enter [39:51] stat Sig staig has built the world's [39:54] first product acceleration platform [39:56] combining tools like feature Flags [39:58] product analytics experimentation and [40:00] observability all in one place helping [40:02] you move faster and make smarter [40:04] decisions and even better stat Sig was [40:06] literally founded by an xmeta team who [40:08] wanted to help everyone build like the [40:11] best today many of the world's leading [40:13] tech companies rely on stat Sig [40:15] including open AI Microsoft notion [40:17] anthropic figma plus thousands of early [40:20] stage startups so if you're ready to [40:22] accelerate your growth and democratize [40:24] product building at your company just go [40:26] to stat Sig / Acquired and when you get [40:29] in touch just tell them that Ben and [40:31] David sent you yes now is also a great [40:34] time to tell you about one of our very [40:36] favorite companies the climate aligned [40:38] AI infrastructure provider cruso yes [40:42] cruso is a cloud platform built [40:44] specifically for AI workloads and [40:46] powered by Clean energy they build and [40:49] operate GPU data centers with each one [40:51] powered by lowcost stranded energy that [40:54] otherwise goes to waste or Worse gets [40:56] emitted as green gases the way this [40:58] works is completely crazy when aquired [41:00] first started working with cruso uh last [41:04] year it was a cool idea it was an early [41:06] stage very cool kind of insane concept [41:10] now they are one of the world's most [41:12] important companies with an AI Cloud [41:15] that is actually superior to the [41:17] hyperscalers and a whole bunch of the [41:18] largest companies in the world are now [41:20] trusting their AI infrastructure to [41:22] cruso yeah it's easy to think about AI [41:24] as like oh that's a bunch of phds over [41:27] at meta or open AI or anthropic [41:29] tinkering with model weights and then [41:30] going and hitting compute but there's [41:32] this whole other industrial side of AI [41:35] That's everything that happens after [41:37] they press go on model training and [41:39] that's energy that's cooling that's [41:42] construction it's literally like steel [41:44] and pipes and wire it's all the physical [41:47] infrastructure behind AI cruso has like [41:50] hundreds and hundreds of construction [41:52] workers Steel Workers plumbers [41:54] electricians all building and operating [41:56] data centers in some of the harshest [41:58] locations on Earth to capture this [42:00] energy yeah the net of all this is cruso [42:03] has GW of power in their development [42:05] pipeline that is like nuclear reactor [42:08] amounts of power for less cost than [42:11] other providers and with zero or in some [42:13] Cas is actually negative emissions and [42:15] that's super important if you listen to [42:17] Mark talk later than this episode or [42:19] elsewhere about what the bottleneck to [42:21] AI progress is it's actually not compute [42:25] but energy and cruso is solving problem [42:28] it's just an awesome company we're super [42:30] proud to work with them and also to be [42:32] investors the other big update that's [42:34] happened since we started working with [42:36] them last year is that you can now work [42:38] with cruso either through their managed [42:40] AI Cloud which you always could and [42:42] that's great for startups and [42:44] Enterprises who want a complete AI [42:46] platform or directly as a data center [42:48] customer which yeah several of like the [42:51] biggest companies in the world are now [42:53] doing so just going over to cruso doai [42:57] ired that's C [42:59] o./ acquired or click the link in the [43:02] show notes and tell them that Ben and [43:04] David sent you thanks [43:07] cuso well we've got a little more time [43:11] before Mark comes on and we have a [43:13] couple more surprises planned um I think [43:16] it's time to talk about the next one act [43:18] two act two so Dave and N are sitting [43:22] around we're planning tonight we're like [43:24] what's the thing to do when we've got [43:26] all these great folks in the room who [43:27] who love Acquired and we're like rather [43:29] than ask them hey what should we do [43:32] tonight we just check our email and see [43:34] like what do people actually already [43:35] want when we're not even asking episode [43:37] requests number one you go through the [43:40] acquired inbox lot of episode requests [43:43] the second biggest request is hey you [43:47] did this episode you were wrong you need [43:49] to fix it or you did this episode and [43:52] like a lot has happened since and you [43:55] need to do a followup on it and so we [43:56] thought [43:57] what if we pick like three or four of [43:59] those and we speedrun all of them with [44:02] the acquired audience present yep add it [44:06] update the acquired Cannon and we [44:08] thought who could we do this with and it [44:10] just so happens that the perfect person [44:13] to grill us on everything we got wrong [44:15] and everything we need to update lives [44:17] right here in San Francisco please [44:19] welcome from Bloomberg and the circuit [44:22] Emily Chang [44:25] [Music] [44:30] hi hello hi [44:34] hug Emily congratulations a thank you so [44:37] [Music] [44:44] much [44:46] congratulations thank you thank you for [44:48] being our guest you guys this is pretty [44:50] awesome Welcome to our uh recording [44:53] studio Welcome to our yeah thank you I'm [44:55] glad to be here I I need to like mine [44:58] you for some research I know we have [44:59] like a thing that we're doing here over [45:01] the next 19 minutes but um you went wake [45:05] surfing with Mark like the theme of [45:06] tonight is researching um his his fourth [45:09] of July video he is standing there in a [45:12] tuxedo with an American flag drinking a [45:13] beer everybody's seen it everybody's [45:15] seen this uh and The Tuxedo is dry like [45:19] I've wake surfed a couple times I start [45:22] you know in the water and you get pulled [45:24] up I would not so how logistically how [45:27] can he like step off the boat as you [45:29] could probably tell from the episode I'm [45:31] not a wake Surfer but I tried um and [45:35] Mark is pretty good and what I did not [45:38] realize is that you can do a dry start [45:41] where you if you're so good you can just [45:43] ride the board right off the boat and [45:45] voila tuxedo surfing video and I can [45:49] personally attest that I did see him do [45:51] a dry start and he can I mean I think [45:54] it's real I think that or he a lot of [45:57] tuxedos on that boat to get multiple [45:59] trial runs by the way Priscilla is [46:01] pretty awesome too they can both shred [46:04] just have to say that because she's here [46:05] tonight too yeah all right Emily take us [46:08] in um so right now and I A+ you guys for [46:13] self-reflection we're going to revisit [46:16] some of your past episodes and uh we [46:19] decided on some episodes that maybe were [46:21] a little controversial in the early days [46:23] you would grade every company that you [46:26] covered and you made some good calls but [46:28] also some some questionable calls [46:31] sometimes so I thought we would go down [46:33] do a little memory lane and start with [46:35] YouTube which David you gave YouTube A C [46:40] in 2016 this is the acquisition of [46:42] YouTube by Google and you you you Ben [46:45] said it could be as as bad as a c [46:49] minus and I I just I just I have to I [46:53] just question that a little bit we were [46:55] young it was 26 [46:57] we didn't know what we were doing we [46:58] were misguided but let's just twist the [47:00] knife a little because we have some [47:01] quotes here uh Ben you said I'm a little [47:04] bit bearish on YouTube primarily because [47:07] it's not a [47:11] destination and David said like who goes [47:14] to YouTube and discover [47:19] something the sad part is that we [47:21] actually said that and and decided to [47:24] revisit this so I don't know may [47:27] actually be the case that that wasn't a [47:30] huge Behavior yet like the algorithm [47:32] hadn't become I know I'm being defensive [47:34] here [47:36] like this is where we fall on our Sword [47:38] YouTube was like the utility that you [47:40] uploaded a video to and then you could [47:41] embed it on your site it's not like I [47:43] would like start my day by maybe I was [47:45] weird but like I I couldn't imagine [47:47] starting my day and going to youtube.com [47:49] and just watching whatever it served me [47:50] the way that now like it's very easy to [47:53] do that in the app well I think um okay [47:55] so for me there's a lot to talk about [47:56] with YouTube that we got wrong this is [47:57] the biggest thing that we've discovered [47:59] since is I think literally as we were [48:01] making that [48:02] episode Ai and social media feed [48:07] recommenders were happening in that [48:10] moment and it was about to lead to [48:13] everything that is happening today oh [48:15] yeah and it was YouTube within Google [48:19] and meta then Facebook buying gpus and [48:25] building AI that turned feed [48:28] recommenders into you know the ultimate [48:31] destination site and we just completely [48:33] had no idea that that was happening [48:36] right AI had its moment a decade ago [48:38] where I excited about it now but like [48:40] the use case of recommending you [48:42] something that should be the next item [48:43] that you should consume was a killer use [48:45] case for AI even then we missed that [48:48] well today you have analysts saying if [48:51] you pulled YouTube out of Google it [48:53] would be worth half a trillion dollars [48:56] which is almost double where Netflix is [48:59] it's on track YouTube TV to be the [49:01] largest cable provider cable provider in [49:03] the United States um it ticket you know [49:07] I have a house full of kids in my house [49:09] it's the first and the second screen [49:12] because we have YouTube TV um so the [49:15] question is can they really be [49:17] everything to everyone right right so [49:20] here is here is I think our most [49:22] legitimate defense um Google does not [49:26] report YouTube profitability they report [49:29] YouTube Revenue so when we did the [49:30] episode YouTube was doing about5 billion [49:32] doll run rate Revenue um it is now like [49:36] 35 to 40 billion annual revenue run rate [49:39] which and and back then it was way [49:40] losing money like it was a money pit yes [49:43] and it was losing a lot of money back [49:44] then Google does not report today but [49:46] here is what is unique about YouTube [49:48] versus every other platform is they pay [49:51] out 55% of Revenue on long form and 45% [49:55] on shorts Direct to [49:57] creators which you know is great for [50:00] creators but that's a tough business to [50:02] run when every dollar you're getting in [50:04] you're giving more than half out you [50:06] know and it's a direct variable cost $70 [50:08] billion to creators over the last three [50:10] years which again is more than Netflix [50:12] spends on content so so I'll go on [50:14] record YouTube was an A+ acquisition yes [50:17] because of the Strategic value I mean [50:18] whether it's the second largest search [50:20] engine second to Google or the second [50:22] largest social media property uh you [50:24] know it strategically very great thing [50:27] to own not to mention going into the [50:29] land of AI training data but like as a [50:31] business it is not clear to me that [50:33] YouTube makes money well and I mean my [50:35] source is also I I if they're making [50:38] money it's little to no money but they [50:39] could they could obviously change how [50:41] much they're paying out to creators they [50:42] can you know turn the spet on and off [50:45] with the and the durability that they're [50:46] building and the Affinity from creators [50:48] we we'll talk about creators on the [50:50] platform in a minute um yes is is [50:52] there's a reason why so many creators [50:55] want to graduate to YouTube uh and this [50:58] is it well your your my shows on YouTube [51:01] your shows on YouTube how do you feel [51:03] about YouTube as [51:04] creators strongly [51:08] uh for everyone listening thank you for [51:10] listening to the podcast feed where we [51:12] have a direct relationship with you that [51:14] is not intermediated uh by an algorithm [51:16] but like honestly it is the craziest [51:18] thing to see these YouTubers who have [51:20] built Mass followings tens of millions [51:23] you know hundreds of millions sometimes [51:24] of of uh subscribers where subscribers [51:27] and Views are uncorrelated yeah yeah [51:30] grade [51:32] today uh grade today oh [51:35] a+p well so here's the other thing we [51:37] didn't mention and I think this was true [51:39] back then too YouTube is both the second [51:41] largest social media property in the [51:42] world uh and the second largest search [51:45] engine in the world so yeah A+ the way [51:48] that you should look at YouTube is not [51:50] what is the the discounted cash flow of [51:53] YouTube as an independent business if [51:55] you look at their you know profitability [51:57] today it's what was the existential risk [51:59] to Google of not owning YouTube If [52:02] YouTube became a thing somewhere outside [52:04] of Google and that is worth paying a lot [52:06] for huge all right moving on the next [52:09] company we're going to talk about is [52:11] LinkedIn you covered it three days after [52:14] they got bought by Microsoft you both [52:16] basically gave it an a bed and quote how [52:20] are we both positive on this I woke up [52:22] Monday morning being like what uh oh [52:26] yeah and then we've got this other one [52:27] what about LinkedIn today yeah that that [52:29] we said we had no idea how it went [52:31] because it was too recent uh I think the [52:33] story with LinkedIn is it is it was [52:34] super unclear that it had the Running [52:37] Room ahead of [52:38] it like what are the numbers on YouTube [52:42] today Revenue wise on YouTube I'm sorry [52:44] on L uh 16 billion plus in Revenue today [52:48] they 5x Revenue since they were bought [52:51] eight years ago of which 5 billion comes [52:53] from advertising and content which for [52:56] all intents and purposes didn't exist [52:59] when the acquisition happened they have [53:00] built that into a real business I mean [53:02] for us unacquired um you know actually [53:05] when looked in preparation for this we [53:07] have about relatively equal number of [53:10] followers on LinkedIn as a platform [53:12] versus any of the other social platforms [53:14] out there but engagement is like 5 10x [53:17] on LinkedIn I mean it's our most [53:19] important social platform and if you had [53:20] said that eight years ago it would have [53:23] been crazy the the reason why this was [53:25] worth a revisit and why I think they've [53:27] been so much more successful than anyone [53:28] would have thought at the time of [53:30] acquisition they 5x in Revenue which you [53:33] know over8 years is great but not like [53:36] three standard deviation four standard [53:38] deviations from the mean it's not one of [53:39] these crazy things in the world um but [53:41] essentially they created a hundred [53:43] billion dollar of market cap I mean if [53:46] you look at what a reasonable multiple [53:47] would be for LinkedIn if it were an [53:49] independent company today it's a big [53:51] company like it would be [53:53] aund I don't know over a hundred billion [53:55] dollar um market cap company today and [53:58] like it's just kind of hanging out [54:00] inside Microsoft um revisiting this was [54:02] a little traumatic for me because this [54:03] was if you'll remember this was an [54:05] acquisition that like no one saw coming [54:07] there were no leaks no reporting on this [54:10] before it happened and my producer was [54:13] apparently like calling my phone [54:15] non-stop in the morning it was like the [54:16] crack of dawn and I was not picking up [54:18] so she called my husband who came in it [54:21] was [54:21] like Microsoft just bought LinkedIn and [54:25] you have to interview SAA and Jeff [54:27] weiner in an hour and I was like [54:30] what um so yeah so that's what I [54:33] remember was it a good interview I I [54:35] mean I think so I actually I watched it [54:37] you said it yeah it was good it was [54:38] great my hair wasn't quite fully done [54:41] but we made it we made it through um [54:44] okay you have some new reporting I do [54:47] actually because I talked to Reed [54:48] Hoffman um who of course is the [54:50] co-founder of LinkedIn and you know it's [54:53] interesting because Reed joined the [54:56] board of Microsoft he's still on the [54:57] board of Microsoft he was an early [54:58] investor in open AI on the board of open [55:00] AI shocker Sachi Nella is on the AI [55:03] Train Early Microsoft is the biggest [55:05] backer of open AI now and um and Kevin [55:09] Scott is the CTO of Microsoft now who [55:11] came from LinkedIn so Reed gave me a [55:14] little quote he said SAA has run [55:15] Microsoft as a type of founder you could [55:18] call it being a ref founder or even a [55:20] late stage co-founder the refound [55:22] doesn't need to have have been in the [55:24] garage from day one he shifted the [55:26] company's Focus away from a Cutthroat [55:28] culture and competition only practices [55:31] towards embracing social networks [55:33] collaboration cloud and the next W wave [55:35] of [55:36] AI the question is did he listen to our [55:39] Microsoft series I don't know you wonder [55:42] if the AI Wars would have played out [55:43] differently um okay we're going to keep [55:45] moving quickly because um I really want [55:48] to make sure we get to the last one but [55:50] SpaceX one of your most popular episodes [55:53] ever luckily you're in the clear because [55:55] you didn't them um we stopped grading at [55:58] some point yeah but obviously starlink [56:01] is a juggernaut Ben you talked about it [56:03] being potentially 30 billion dollar [56:05] business at the time can you grade [56:07] SpaceX today knowing that starlink is [56:10] just even bigger okay so yeah the [56:12] company was valued at 36 billion in May [56:14] of 2020 when we did the episode at that [56:16] time they had had 26 successful launches [56:18] that year uh last year they did 96 [56:22] launches and they're planning to do 118 [56:26] this year which is over two a week it's [56:29] like an insane they're doing one every 3 [56:31] days but on top of the launch business [56:33] yeah the launch business is not the [56:34] interesting part of the business they [56:36] now have starlink which is estimated to [56:38] do $6.5 billion dollar in 2024 and they [56:41] are reportedly profitable as a business [56:44] I'm pretty sure the 7,000 starlink [56:47] satellites that are in orbit represent [56:48] 2third of the total satellites orbiting [56:50] the Earth and it's not just like oh [56:53] we'll see if people want starlink people [56:55] want starlink I mean the business itself [56:58] I I I think I'm looking at the [57:00] subscriber count it's something like 3 [57:02] million subscribers and it's only been 3 [57:04] years since it launched so it is so when [57:06] we did the episode uh starlink was like [57:09] like pie in the sky literally there [57:11] there there was nothing uh and now I'm [57:14] I'm I'm pretty sure starlink is the [57:16] entire like SpaceX was valued at 36 [57:19] billion when we did the episode starlink [57:22] itself is worth way more than 36 billion [57:24] today it's a beast total total beast and [57:27] by the way nobody else could have saved [57:29] those astronauts right [57:32] like figh NASA didn't have a choice yeah [57:36] yeah well Russia maybe but that's [57:38] complicated and we don't even know if [57:39] China could Dock at the ISS I mean I [57:41] think that's okay to say [57:43] sorry didn't just cross the line well I [57:45] will say so the starlink execution is [57:48] just more remarkable than like I I think [57:52] 99% of people would have guessed yeah [57:55] okay so now now to you your most [57:58] requested revisit ever the arena Queen [58:03] uh you gave her an A+ but that was two [58:07] years ago before the Aras tour so I [58:09] think you're going to have to invent a [58:10] new category so certainly or stop [58:13] grading that's that's the real [58:16] answer the um the context on this is [58:21] it's a little weird cuz there's no like [58:23] um Enterprise value of Twitter out there [58:26] of of Taylor out there that you can [58:28] calculate uh we're not talking about [58:32] [Laughter] [58:34] tter there's no Enterprise value of [58:36] Taylor the closest thing was when we did [58:38] the episode Forbes estimated her net [58:40] worth at $550 [58:43] million [58:45] um yeah not woo um by our calculations [58:51] we're pretty sure she generated on the [58:53] order of $550 million of free cash flow [58:56] this past year this year last 12 months [58:59] uh that's a [59:01] woo so so is she more than a billionaire [59:05] so this is so David's got like an [59:07] argument on this so walk us through the [59:09] your perceived Financial breakdown of [59:12] Swift Incorporated of yes Taylor Swift [59:14] Inc so the big piece that I actually [59:17] think is the most interesting piece that [59:19] we got wrong in our episode Ben did a [59:24] fantastic primer on the music industry [59:27] uh and you know all the challenges for [59:30] artists and etc etc and like it's [59:32] getting better and Spotify is doing [59:33] great and Daniel's doing great and all [59:34] that um the latest sort of reported [59:37] talked about numbers was that Taylor was [59:40] making like less than5 million dollars a [59:44] year from streaming there was this myth [59:45] that streaming doesn't pay myth that [59:47] streaming doesn't pay uh last year [59:51] Taylor Made over well over reported [59:55] reported this is reported [59:56] um well over $100 [59:59] million from Spotify streaming alone [60:03] alone doesn't include any of the other [60:05] platforms so you know gross that up [60:10] um and by nature of what she has been [60:13] doing that we talked about in that [60:15] episode uh redoing her Masters like you [60:18] think about what of the percentage of [60:20] those streams that are happening are [60:22] they on where she owns all the rights [60:25] like that is a very very very high gross [60:27] margin number that is coming to T right [60:29] so so of that high hundred plus million [60:31] dollar streaming number she actually [60:33] keeps quite a bit of it because of this [60:34] strategy that she's not the amount that [60:36] she's getting just from streaming like [60:38] aror aside movie aside she is getting [60:42] paid more every year than any Hollywood [60:44] actor probably any athlete in the world [60:47] um she could just sit at home okay but [60:50] then but she doesn't but then but then [60:54] she did an arys to her yes is like the [60:58] most unbelievable tour that any artist [61:00] has ever conceived of or executed how [61:02] much money did that make last year David [61:03] so last year the AAS tour in calendar [61:08] year 2023 grossed I think $1.1 billion [61:12] wow the previous which is a gross tours [61:15] are expensive there a lot of you know [61:18] things a lot of and involved in making [61:21] shows yes there are the previous record [61:24] for highest gross ing Tour Ever I [61:27] believe was a billion dollar so Taylor [61:29] eclipsed that over multiple years that [61:32] that was earned so not only did she set [61:34] the record for highest grossing tour she [61:36] did it within 12 months obviously the [61:37] tour has continued yeah but let's say [61:39] she operates like a very high uh you [61:43] know a high margin touring business [61:46] let's assume she's very efficient at it [61:48] call it a 30 35% operating margin on the [61:50] business a lot of artists actually lose [61:52] money touring because it's a you know [61:54] anyway uh that's another 300350 million [61:59] in cash flow every year yep or at least [62:01] last year during the eras to where she [62:03] is making that when she is actively [62:04] touring and then and then there's the [62:07] movie right so the movie grossed uh [62:14] $267 million at the box office highest [62:18] gross and concert film of all time um [62:21] Taylor went direct to the theaters with [62:24] the movie so paying less middlemen less [62:26] middlemen uh then she did the direct [62:29] deal with Disney for the streaming [62:30] rights that was another $75 million on [62:32] top of that so well over $300 million [62:36] from the obviously you're not going to [62:37] make a movie every year but um so David [62:39] you're you're kind of getting to the [62:40] point of like your 550 million number of [62:42] cash flow last year may actually be [62:44] conservative I think that is [62:45] conservative for last year I think if [62:46] you were to say like okay what is a [62:48] smoothed out steady state over a [62:50] threeyear rolling average for Taylor Inc [62:53] well you did used to be an investment a [62:55] billion plus cash flow every year uh so [62:59] I relistened to the Taylor podcast with [63:01] my kids driving to Tahoe and they loved [63:03] it you you have a potential gen Alpha [63:06] audience um it's our gateway drug in [63:08] case you're getting nervous but here's [63:10] the question is it possible that we're [63:14] at Peak Taylor okay so this is the most [63:17] important debate to all of this which is [63:19] if you're trying to Value the Enterprise [63:20] of Taylor what multiple do you put on [63:22] that cash [63:23] flow right right [63:26] uh do you believe it is a durable [63:28] business like some of the great content [63:31] businesses of all time like the one that [63:32] you put in our model which is Disney yes [63:34] Disney trades a 20x free cash flow [63:37] Taylor is 550 million in free cash flow [63:40] that's a 11 billion Enterprise value for [63:42] a tailor Forbes currently estimates her [63:44] net worth at 1.1 I think and now she's [63:47] in her NFL era like how do you value [63:51] that right so okay but here's the I [63:54] think Ben and I differ a little bit on [63:55] this I would argue Disney is the right [63:59] comp oh boy I to look at the single [64:04] greatest like IP holder in the world [64:08] that has proven over you know a century [64:12] that it can stay relevant and apply that [64:15] multiple to a single artist with no [64:19] diversification who has had this [64:20] unbelievable ascent and you're taking [64:23] that multiple off of this extreme [64:25] outlier year like I'm not saying you [64:27] know it should trade at one or 2x but [64:29] like 20x David is a little but but your [64:32] point I think is a very interesting one [64:34] which is when people are looking at uh [64:37] oh net worth of a person like this they [64:40] sort of foolishly don't consider it an [64:43] Enterprise They Val they they they're [64:45] multiple they're using is one right like [64:47] why are you assuming that they're worth [64:49] the cash in their Bank when clearly they [64:51] can produce these incredible returns [64:53] year over year over year so I think [64:55] that's the s on thing in Taylor are we a [64:58] peak Taylor I think to me I mean I think [65:01] I think the song that played before we [65:03] started the movie I'm walking out here [65:04] was Start Me Up by The Rolling [65:07] Stones Taylor is the Rolling Stones of [65:10] this generation yeah oh Tor or just [65:13] beginning I'm going to say no just [65:15] because that seems like a safe bet when [65:17] you're talking about Taylor yeah uh uh [65:20] for my own safety I'm going to say we [65:21] are not at Peak Taylor all right you [65:23] heard it here for the record I think you [65:26] guys need another tailor episode that's [65:27] the verdict for the fans thank you guys [65:30] so much and congratulations and I can't [65:33] wait to keep listening thanks Emily [65:35] thank you Emily thank you so much by [65:38] [Music] [65:49] guys all right so uh David we've had [65:53] Jamie Diamond we've had Daniel e we've [65:55] had Emily Chang yep what else could we [65:57] possibly have up Our Sleeve before [65:59] Mark we won't keep you waiting too too [66:01] much longer but we do have one more [66:05] special guest one more surprise update [66:08] in a minute yes but first David this is [66:11] a great time to tell you a little bit [66:14] more about our incredible presenting [66:16] partner JP Morgan [66:17] payments [66:19] [Applause] [66:21] uh yes it is um Max and are actually [66:26] backstage oh should we do it live I [66:28] think we should do it live I think in [66:30] the spirit of doing it live please [66:32] welcome the global co-heads of JP Morgan [66:35] payments Max Nerin and Umar [66:40] [Music] [66:46] faroo hey Mar ma thank you [66:52] [Music] [66:57] well welcome guys it is so great to have [66:59] you here listeners have heard us talk [67:01] about JP Morgan payments all year on [67:03] acquired but could you start maybe just [67:05] with a quick overview on the business [67:07] how big it is and how important to the [67:08] world it is yeah hello everyone great to [67:11] be here with you and you know Dave and [67:13] Ben great to share the stage with you [67:15] it's been a fantastic partnership you [67:18] talk about so many successful companies [67:20] look what you have created here now JP [67:23] Mo payments in brief we basically help [67:27] companies receive money hold money send [67:30] money Safeguard money against fraud and [67:34] take the insights from all of this to to [67:36] grow their business that takes many [67:39] different forms we help the coffee shop [67:42] around the corner have a point of sales [67:44] solution so they can take credit cards [67:47] we work with marketplaces or e-commerce [67:51] platforms and we work with many large [67:54] multinational companies and even other [67:56] Banks we're in 160 countries and we move [68:00] about $1 trillion $10 trillion every day [68:05] that is I think one in every $4 that [68:08] moves around the globe wow wow wow so it [68:11] is I think probably the largest payments [68:13] business in the world and as a result we [68:17] don't only become the backbone of many [68:20] companies but sometimes of entire [68:23] economies which means [68:26] we have of course in our DNA [68:28] creativity and problem solving but we [68:32] also focus on stability resiliency and [68:35] safety and this is why so many companies [68:38] that you feature and acquired are [68:40] actually our [68:41] clients and you know they simply can't [68:44] outgrow us we are with them every step [68:47] of the way from startup all the way to [68:50] sitting here on the chair the last [68:51] payment solution you will ever need [68:53] exactly well okay so speaking of we're [68:56] here in San Francisco in Silicon Valley [68:59] the tech and AI capital of the world how [69:01] is JP Morgan payments keeping Pace with [69:04] the Innovation that is happening in this [69:06] room all around us the businesses that [69:08] you all are building as ma said it's [69:10] part of our DNA you have to innovate to [69:12] survive we are building stuff for next 5 [69:15] 10 20 100 years we within our onx [69:18] business unit have the largest financial [69:20] blockchain life ecosystem on the planet [69:23] uh we do bigger transactions than any [69:25] blockchain including the crypto [69:26] blockchains um we basically have pretty [69:29] extensive embedded Finance Solutions [69:31] where you might be interacting with the [69:32] platform but really it's our rails that [69:34] are seamlessly serving you and then the [69:36] list goes on and on and even in AI which [69:39] you cannot not mention anymore in the [69:40] world um we use AI to catch fraud which [69:43] you can imagine you know You' got to go [69:45] up some against some AI systems on the [69:47] other side you need to have some AI of [69:48] your own so uh the we are building stuff [69:51] at a you know different scale and scope [69:53] when I think of JP mongan payments we [69:55] perform Miracles and magnitude every [69:57] single day a great well thank you so [70:00] much for the great relationship really [70:01] appreciate thank [70:04] [Music] [70:13] you all right so we alluded to one more [70:16] thing before intermission we one more [70:19] thing before one uh a special treat from [70:22] a past acquired guest so one of the [70:25] things that happened in the insane you [70:27] know year that we've had uh was that we [70:29] had this like viral clip from an episode [70:32] this never happened in the land of [70:33] acquired and it got like tens of [70:35] millions of views and it got picked up [70:37] by Forbes and Fortune and the New York [70:39] Times And The Wall Street Journal it [70:41] actually went so nuts that we felt like [70:43] it was kind of misunderstood and we felt [70:45] bad we pulled the clip down cuz we felt [70:47] like it just wasn't really explaining [70:48] what the person meant correctly and so [70:51] we wanted to correct the record and have [70:54] that person back via video to kind of [70:59] say it straight and say what he meant so [71:01] everyone Jensen [71:04] hang hi everybody it's great to join you [71:07] at acquired live wow this is this is [71:10] really something I I still remember when [71:12] I met Dave and Ben uh they interviewed [71:15] me right here on this stage uh at [71:17] nvidia's headquarters and now this [71:22] podcast has attracted an incredible [71:24] audience [71:25] and so I'm really proud of them and one [71:28] of the questions that they asked me was [71:30] was uh you know if I if I knew what I [71:32] know now I think or something like that [71:35] you know would I start Nvidia all over [71:37] again and I said absolutely not of [71:40] course I it was taken out of [71:43] context uh because I was asked about [71:46] that several times after that and of [71:50] course I would start the company if I [71:52] knew it would turn out this way the [71:55] reason why I said what I said was was [71:57] has everything to do with being an [71:59] entrepreneur building a company is [72:01] insanely hard uh the number of things [72:03] that you have to know uh the the amazing [72:07] people that you have to surround [72:08] yourself with um the ad adversaries uh [72:13] that and all the smart things that [72:14] they're going to do uh and and uh and [72:18] the adversities that you're going to [72:20] you're going to uh be confronted with [72:22] over time the mountain of it in the [72:24] course of 31 years if I were to take all [72:28] of [72:29] that um all the challenges and all the [72:32] hardship and all the pain and [72:33] suffering of the last 32 years and I [72:36] would have compressed it into the brain [72:38] of a [72:40] 29-year-old there is no way that that [72:43] person would have started the company [72:45] and and I my point there is is the super [72:48] point of of um entrepreneurs which is [72:51] your superpowers are partly your [72:53] ignorance that that you don't know how [72:56] hard it is and so I that's what I [73:00] meant everybody [73:06] J nice to have that fixed yes feels good [73:10] we can officially correct the record on [73:12] that one yes all right we have finally [73:14] arrived the main event tonight has [73:17] featured some incredible founder-led [73:21] companies Jensen from [73:23] Nvidia Daniel from from Spotify and next [73:27] we have the iconic founder CEO of our [73:31] time Mark [73:35] [Music] [73:38] Zuckerberg [73:40] he let's go [73:43] man let's [73:44] [Music] [73:46] going [73:47] [Music] [73:53] yeah Mar [73:55] right it's great to have you here it's [73:58] great to be here you know I was watching [74:01] I was watching Jensen's video correcting [74:03] the record and I was thinking to myself [74:05] we might need to book the next one of [74:06] these for all the things I'm going to [74:07] have to apologize for that I'm going to [74:09] say [74:10] tonight n just kidding well uh I don't [74:13] apologize [74:14] [Laughter] [74:16] anymore we've [74:18] noticed well okay wait wait here's the [74:20] question if you knew what you knew today [74:22] what's up if you knew what you know [74:24] today would you have started [74:26] Facebook oh god um I mean look I I think [74:29] coming out hot David yeah know I mean he [74:32] started it literally I I think there's [74:35] something to Jensen's original sentiment [74:38] which is that the entrepreneurial [74:40] journey is very challenging especially [74:43] the early days when you're running a [74:45] startup and you know there's the sense [74:48] that what you're doing could just die at [74:50] any moment and the volatility everything [74:52] is just getting thrashed so much and [74:55] it's it's not you obviously you look [74:58] back you have all these fond memories [74:59] but it was not the most fun part of the [75:03] journey or you know the part of my life [75:05] that I like wish I could go back and [75:07] relive so I mean I I do think that [75:09] there's something to what Jensen was [75:10] saying that I thought was very honest [75:13] and that when I heard him say it the [75:16] first time I was like yeah I get that [75:19] right it's like I think I I think there [75:20] were like a lot of people for whom you [75:22] know if you knew how pain [75:25] ful uh it would be along the way you [75:28] wouldn't get started but then you know I [75:30] think that that's one of the things [75:31] that's good about human nature is you [75:34] can underestimate how painful things are [75:36] going to be so that way you can go and [75:37] do good [75:38] things well [75:40] um on that topic we have a lot to talk [75:44] about yeah I think this is actually very [75:46] appropriate first we have to ask you [75:49] about your shirt and what you're wearing [75:52] yeah you [75:53] know I um [75:57] I started [75:59] uh working with people to design some my [76:02] own clothes and um so I figure you know [76:05] look we're going to design eyewear we're [76:07] going to design other stuff that people [76:08] wear let's get let's get good at this [76:11] and um so so this one I actually I [76:14] worked with this great fashion designer [76:17] Mike [76:18] Amir and um he's got a great story so I [76:21] I I wouldn't be surprised if you're [76:22] doing one of these with him one day um [76:25] and this one is so I've I've kind of [76:28] started working on this series [76:31] of shirts with my some of my favorite [76:34] classical sayings on them so this one is [76:37] path maos uh learning through [76:42] suffering it's a little family saying [76:46] and also [76:49] escalus was uh was that your family [76:51] saying growing up or is that your family [76:53] now I'm just doing my sister [76:57] uh well no let's let's pull that thread [77:00] uh no pun intended I promise uh what [77:04] does learning through suffering mean to [77:08] you um well I think you learn what [77:11] matters to you and what's important and [77:14] kind of your place in the world through [77:15] repeatedly hitting your head against [77:17] different challenges and I mean I think [77:20] that that is sort of that's the journey [77:21] right I mean that's the the [77:22] entrepreneurial Journey it's also I [77:24] think part of the beauty of building [77:26] things but this something that Jensen [77:29] talks a lot about too right it's like I [77:31] I I feel [77:33] like you you know when you go to start a [77:35] company you you everyone kind of writes [77:38] down what they would like their values [77:39] to be but values are not what you write [77:41] down on the wall it's like your lived [77:44] behaviors and you only really learn what [77:47] you care about when you have to make [77:49] hard trade-offs and face [77:51] challenges so yeah you you learn the [77:55] most important things through facing [77:57] challenges speaking of facing challenges [78:00] we want to talk about a number of those [78:03] because I we counted by our count I [78:05] think you have faced more existential [78:07] challenges than any meaningful company [78:11] in history through your first 20 years [78:12] first though it's [78:14] a dubious distinction we will make our [78:17] case to you of why well and enumerate [78:19] them you're still here um but first I [78:22] agre kind I kind of think my you know [78:24] like that old Nike Michael Jordan ad [78:26] where he's talking about how he's failed [78:28] over and over and over again and that's [78:29] how he succeeds that one really [78:31] resonates with me too so um thanks to [78:34] you guys I got a pair of these this [78:37] summer um and I genuinely love them tell [78:42] us the story of how these came to [78:45] be yeah [78:48] so thanks I'm I'm I'm excited about them [78:52] too so [78:54] you know we at meow we've been building [78:58] social experiences for 20 years now and [79:01] originally it took the form of a website [79:04] then mobile apps but the thing is I I I [79:06] never thought about us as a social media [79:09] company right we're not a social app [79:11] company we are a a social connection [79:14] company right I mean I I we talk about [79:16] what we're doing is building the future [79:17] of human connection and that's not only [79:21] going to be constrained over time to [79:23] what you can do on a phone pH right on a [79:25] small screen so when you think about you [79:28] know we got started okay we're like a [79:30] handful of kids you know we weren't able [79:33] we didn't have the resources the time to [79:34] go Define whatever the next Computing [79:36] platform is and also you know Facebook [79:38] originally got started around the same [79:40] time as you know a bunch of the early [79:41] smartphones and those platforms got [79:43] started so we didn't really get to play [79:44] any role in developing that [79:46] platform and one of the big themes I [79:50] think for the next chapter of what we do [79:53] is I I want to [79:56] be able to build what I what I think are [79:58] sort of the ideal experiences not just [80:01] what you're allowed to build on some [80:03] platform that someone else built but [80:06] like what is actually if you can think [80:07] from first principles what is the ideal [80:09] social experience so I I think what [80:10] you'd like to have is not a phone that [80:13] you look down at um that kind of takes [80:16] your attention away from the things and [80:18] the people around you you know not just [80:20] a small screen I think what you ideally [80:22] have is glasses [80:25] and through the glasses um there's one [80:29] part of it where the glasses you can [80:31] they can see what you see and they can [80:32] hear what you hear and in doing so they [80:34] can be kind of the perfect AI assistant [80:36] for you because they have context on [80:37] what you're doing but then part of that [80:40] is also that the glasses can project [80:44] images basically like Holograms out into [80:46] the world and that way your social [80:49] experiences with other people aren't [80:51] constrained to these little interactions [80:53] you can have on a phone screen you know [80:54] in the in the not so distant future you [80:56] can imagine um because you guys have [81:00] demoed some of the stuff that that that [81:02] we've done a like a a version of this [81:04] where we're having a conversation like [81:05] this but you know maybe like one of us [81:07] isn't even here they're just like a [81:08] hologram and we have glasses and it [81:10] really there's the question of [81:13] delivering a realistic sense of presence [81:14] there's something magical in the realm [81:16] of building social experiences around [81:19] the feeling of human presence and like [81:21] being there with another person and this [81:24] physical perception right where we're [81:26] very physical beings right people like [81:28] to intellectualize everything but a lot [81:29] of our experience is very physical and [81:31] this physical sense of presence that you [81:33] with another person doing things in the [81:36] physical world is something that you're [81:38] going to be able to do through [81:39] Holograms through glasses um without [81:43] being taken away from you whatever else [81:45] you're doing just kind of have that [81:46] mixed in with the rest of the world um [81:50] it's going to be I think the [81:52] ultimate Digital social experience and I [81:56] think it's also going to be the ultimate [81:58] incarnation of AI because you're going [82:00] to have conversations where it's like [82:02] all right there's some people it's like [82:03] maybe like I'm physically here there's [82:05] like a person you're like a hologram [82:07] there there's an AI that is kind of [82:08] embodied as someone is there and the [82:11] glasses will enable this so okay so how [82:13] are we going after this building this [82:14] this is like some some huge project [82:16] we've been working on it for 10 years um [82:21] and there are a lot of different [82:23] challenges to solve to get there there's [82:25] like you have to build a novel display [82:27] stack right it's not these aren't just [82:28] screens like the kind that are in phones [82:31] there's this long lineage they they're [82:33] connected to the screens that have been [82:34] in TVs and monitors and things for a [82:37] long time there's been this massive [82:38] optimization of the supply chain there's [82:40] like brand new display stacker on [82:42] holographic displays that basically need [82:44] to get created and then they need to be [82:46] put into glasses they need to be [82:48] miniaturized and you also in the glasses [82:51] need to fit chips microphones [82:55] um you know speakers cameras eye [82:58] tracking to be able to understand what [83:00] you're doing batteries to make it last [83:02] all [83:03] day new novel RF protocols yeah it's [83:06] it's like okay it's a pretty big [83:08] challenge so we're like all right let's [83:09] go try to go for the big thing right and [83:12] we we've been working on that for a [83:14] while and we're pretty close to being [83:17] able to show off um kind of the first [83:19] prototype that we have of that and I'm [83:21] really excited about that at the same [83:23] time we also came at it from this lens [83:25] of all right so that's like a lot of new [83:27] technology that needs to get developed [83:29] um a lot to pack into a form factor [83:31] because the glasses have to be [83:32] good-looking too so what if we just [83:36] constrain ourselves to like we're going [83:37] to work with a great partner esor luoda [83:40] they make Rayban they make a lot of the [83:42] iconic glasses let's see what we can fit [83:45] into glasses today and make them as [83:47] useful as possible and you know I I [83:51] actually I kind of thought when we were [83:53] getting started with those that it was [83:56] almost like a practice project for like [84:00] for the the ultimate be clear that's [84:02] what you thought Facebook was that's [84:04] true that's true yeah I did like for [84:07] your real startup somay that's true yeah [84:08] no this is let's go on a tangent there [84:09] for a second when when so started [84:11] Facebook in school came out to Silicon [84:14] Valley with Dustin and and a handful of [84:17] people working on it at the time and we [84:20] did that because Silicon Valley is where [84:21] all the startups came from and I [84:23] remember we got off the plane we were [84:24] driving down 101 we're like wow eBay [84:27] Yahoo like this is amazing all these [84:29] great companies one day we're maybe [84:31] we'll build a company like this and I'd [84:34] already started Facebook and I was like [84:36] surely the project that we're working on [84:37] now is not a company and Facebook had [84:39] like some scale at this point oh no no [84:41] it was a great project I just didn't [84:43] have the ambition to turn it into a [84:44] company at the time that just kind of [84:46] happened um but anyway [84:49] um uh yeah I [84:52] mean lot of hard work obviously but but [84:54] it's but I I just at the time I was kind [84:56] of like yeah no I don't I don't I don't [84:57] think this is it well that's your answer [84:59] of would you have started you actually [85:01] didn't try to start Facebook I didn't [85:03] know um so yeah so I mean the glasses [85:06] though you know we thought that this was [85:07] like all right we want to get working [85:09] with esor luoda so we can start building [85:11] more and more advanced glasses and then [85:13] you know they're really good they look [85:14] good and then AI like the massive [85:17] transformation in [85:19] AI for listeners let's just be really [85:21] clear you guys shipped this product that [85:24] I'm [85:25] holding before llms or at least before [85:29] the public Consciousness was aware of [85:31] you know the chat GPT moment and these [85:34] were not manufactured and shipped as an [85:36] AI device that came later when they were [85:38] already in Market yeah a few years ago I [85:41] would have predicted that AR Holograms [85:44] would have been available before kind of [85:46] like full scale Ai and now I think it's [85:50] probably going to be the other order so [85:52] now it's like all right great well this [85:53] is actually a great product because it's [85:55] got It's got the cameras so it can see [85:56] what you see it's got the microphone [85:58] it's got the speakers you can talk to it [86:00] I I remember calling Alex himl the guy [86:02] who runs the product group running it [86:04] and I'm like hey you know I I think we [86:06] should probably pivot this and make it [86:08] that um that meta AI is the primary [86:11] feature of it and then like I remember I [86:13] came in the next week and they built a [86:14] prototype of it on Tuesday and it was [86:16] like all right good yeah no this is good [86:17] this is going to be a very successful [86:19] product he told us a much more high [86:21] stakes version of that story like so I [86:23] was I was on the highway with my kids [86:25] and I get this call on a Saturday from [86:27] Mark and he's like those [86:29] glasses could we put meta AI in them [86:32] running on device and like ship that [86:35] soon so we can see if that's a good idea [86:37] or not yeah that's that tracks that's [86:39] what I just [86:39] [Laughter] [86:44] said sounds [86:46] [Laughter] [86:47] right okay [86:51] so thank you for opening up with a story [86:54] The question that I would like to try to [86:56] answer tonight is why has meta worked as [87:01] spectacularly well as it has I mean one [87:04] of the most valuable companies in the [87:05] world through multiple iterations [87:07] multiple technology waves fighting off [87:10] you know maybe let's name all the waves [87:13] in which people said oh Facebook and [87:16] meta are so [87:17] screwed and yet that is not the way it [87:20] looks today uh [87:22] Myspace Twitter gen one yep um Instagram [87:28] Snapchat [87:30] WhatsApp Tik Tok Apple app tracking [87:34] transparency put in its own whole [87:35] category um and now chat GPT that's nine [87:40] like there is a widely held public [87:42] narrative every single time Snapchat [87:44] discovers stories or there's something [87:47] where people are like oh the cool thing [87:49] that Facebook the company did is just [87:52] obsolete now and they're going to go [87:53] away you very much haven't gone away [87:56] what do you think is the through line of [87:58] the DNA of the company that allows you [88:00] to keep [88:02] winning [88:04] um I think it's that we're a technology [88:07] company that is focused on human [88:12] connection not a specific type of app so [88:17] like we never thought about ourselves as [88:20] a website or a social network or [88:22] anything like that for for me bu [88:24] building this kind of glasses to enable [88:26] the future of people being able to feel [88:29] present with another person no matter [88:31] where they actually physically are is [88:33] the natural continuation of the kind of [88:36] apps that we build today but it depends [88:38] on how you define what you are and then [88:41] you need to figure out well how do you [88:43] build how do you give yourself the [88:45] competence to actually go do that and [88:47] that's where I think being a strong [88:48] technology company comes in because you [88:51] know a lot of companies I think think [88:53] about themselves too narrowly in terms [88:55] of okay well we're this kind of one [88:57] thing and the reason why we can build [89:01] all these things is because we are have [89:04] a really strong technology foundation [89:06] and some of that is just me and how I [89:10] think about stuff I I I was an engineer [89:12] before I got started I mean I like [89:14] mostly took like systems engineering [89:17] type classes when I was in college so [89:19] you you talk about like friend during [89:21] Myspace and all the scaling challenges [89:23] they had doing the graph calculations of [89:25] like all right do you know this person [89:26] should you [89:27] show yeah actually can you take us back [89:29] and like we want to ask you the story of [89:31] that time I mean um it seems quaint now [89:34] Forster Myspace but you study computer [89:38] science graph networking social graphs [89:41] that is a very very difficult [89:44] computation calul a combination of of a [89:47] a product question and a technology [89:49] question I think you can Define the [89:51] product in a such a general way that the [89:53] technology becomes becomes basically [89:54] impossible to solve um so you want to [89:57] have a smart product definition but then [89:59] you want to be competent and better than [90:02] everyone else at the technology and I I [90:04] think that that's something that we've [90:05] held ourselves to and build a good [90:07] organization around and it's it's one of [90:09] the things that I [90:11] I observed as soon as I came out to the [90:13] valley that all these companies that [90:15] call themselves technology [90:17] companies were not really set up that [90:20] way right it's like the companies I was [90:22] talking about it's like they [90:24] you know they the CEO wasn't technical [90:27] the board of directors had no one [90:28] technical on it they had like one dude [90:31] on the management team who was the head [90:33] of engineering who is Technical and like [90:34] everyone else wasn't it's like all right [90:36] if that's your team then you're not a [90:39] technology company so I I think one of [90:41] the things that I've always been pretty [90:43] careful about is I I actually like want [90:47] like the a lot of the people on our on [90:49] our management team it's like you know [90:50] split it's mostly people running um [90:53] either these big product groups who come [90:55] up through different technical Pathways [90:56] of the company and I think that there's [90:58] like a balance right it's like you don't [90:59] want everyone to be an engineer because [91:00] there's other things that matter too but [91:02] if you don't have enough of your kind of [91:05] share of the company as engineers then [91:07] you're not a technology company and I [91:09] think that that also is important to the [91:12] board and and I think just like in terms [91:15] of how you weigh decisions and [91:17] culturally things inside the company [91:19] matters a lot but but I think that [91:21] that's one of the things that has been [91:23] really fundamental right it's like we're [91:25] able to kind of go from platform to [91:28] platform and do these different things [91:29] because we've invested and cared about [91:31] the underlying technology the product [91:33] experiences that we build on top of that [91:35] are an implementation and they matter [91:38] and for that I think we also I think are [91:40] a pretty curious and learning focused [91:42] organization where you know I view the [91:46] product [91:47] strategy less as any one specific thing [91:51] and more as how do we iterate and learn [91:55] as quickly as possible how to make each [91:57] thing better for for the people we're [91:59] trying to serve right so like I Define [92:02] our strategies we can learn faster than [92:04] every other company we're going to win [92:06] we're going to build a better product [92:07] than everyone else because we're going [92:08] to get it out first early we're going to [92:12] uh have a good feedback loop we're going [92:13] to get get a bunch of feedback we're [92:14] going to learn what people like better [92:16] than other people and then over time by [92:18] the time you get to you know whether [92:19] it's version three or four or five I [92:21] mean they're not even discreet versions [92:23] because your ships frequently it's um [92:25] you just uh you learn faster so I that's [92:29] basically the formula be a technology [92:31] company build good foundation like learn [92:35] from what what people are are kind of [92:36] focused on in the world and and consider [92:39] it as quickly as you can in one of my [92:41] research calls to prep for this someone [92:43] uh uh described you as a master [92:45] strategist which like it's we we all [92:48] sort of acknowledge that at this point [92:50] but that the I mean except for like all [92:51] the stuff that I just thought was not [92:53] going to be that important important [92:54] that ended up actually being the most [92:55] important it's but but that's the thing [92:59] part of it is like okay you want to set [93:00] up the game so that way you optimize you [93:03] create your luck this is what jensson [93:04] told us like the Apple's going to fall [93:06] from the tree in some direction and if [93:08] you just set up the game that you have a [93:12] hand close enough to catch [93:14] it the comment that someone made to me [93:17] was the reason Mark is such a good [93:19] strategist is because he he plays the [93:22] company as if it's a turn-based strategy [93:25] game and he just makes sure he gets more [93:26] turns than anybody else and he makes [93:29] sure that he learns more from each turn [93:32] than the next player does do you feel [93:34] like that encapsulates like [93:38] Strat but it does kind of feel like the [93:40] way that you make bets is like I uh well [93:43] if we have great engineering then that [93:45] can kind of take care of the speed part [93:46] that's like you know many iterations or [93:49] multiple at bats and then the the well [93:52] great Engineering in speed iteration are [93:54] actually two different values they're [93:56] not necessarily at odds but I think like [93:58] there are a lot of great engineering [94:01] organizations that try to build things [94:02] that are super high quality and have [94:04] good competence around that but I know [94:07] there there's a certain personality that [94:11] goes with kind of taking your stuff and [94:13] putting it out there before it's fully [94:15] polished and and look I'm not saying [94:17] that our strategy or approach on this is [94:20] the only one that works I think in a lot [94:21] of ways we're like the opposite of Apple [94:23] and clearly their stuff has worked [94:25] really well too right but I mean they [94:26] take this approach it's like we're going [94:27] to take a like a long time we're going [94:29] to polish it we're going to put it out [94:32] um and maybe for the stuff that they're [94:35] doing that works maybe that just fits [94:36] with their culture but for us I I think [94:39] that there are a lot of conversations [94:40] that we have internally [94:43] where you're almost at the line of being [94:46] embarrassed about what you put out you [94:48] want to put stuff out early enough so [94:50] you can get good feedback you obviously [94:52] want to test things that are reasonable [94:54] hypotheses so if it's like so [94:56] ineffective then you're not testing a [94:58] good hypothesis that doesn't work but I [95:00] I do think a lot of the conversations [95:02] that we have are are like okay well we [95:04] can get this to be a lot better if we [95:06] work on it for like another couple of [95:07] months or whatever and and I I I do just [95:11] think that like you want to really have [95:12] a culture that values shipping and and [95:15] getting things out and getting feedback [95:17] um more than needing always to get great [95:21] positive accolades from people when you [95:22] put stuff out because I I think like if [95:25] you want to wait until you get praised [95:27] all the time you're missing a bunch of [95:29] the time when you you could have learned [95:31] a bunch of useful stuff and then [95:33] Incorporated that into the next version [95:34] you were going to ship and it's just [95:36] about making sure that the what the [95:37] thing that the company's known for or [95:39] its brand can withstand all the little [95:42] damage that you do to it by shipping [95:43] stuff that's not quite ready well I I [95:45] would like to hope that it's not [95:47] damaging to the brand um but um well but [95:50] it uh innately it is like when you're [95:53] like I feel bad because I I shipped a [95:55] product that wasn't good enough you're [95:57] you're sort of yeah no I I don't want to [95:58] overstate it I mean we don't ship things [96:00] that we think are bad but we also don't [96:03] take we want to make sure that we're [96:04] shipping things that that are kind of [96:07] early enough that we can get good [96:08] feedback to see what they're going to be [96:10] most used for like I think a lot of the [96:12] AI stuff that we're building now for [96:13] example it actually you know it's it's [96:16] pretty clear that AI is going to be [96:18] transformative for a lot of different [96:19] things it is actually less clear what [96:22] are going to be the initial use cas [96:24] for for a lot of these things that that [96:25] are that are super valuable and so okay [96:28] part of it is like okay you put [96:29] something out you want to kind of [96:30] collect feedback and and what people are [96:32] actually what what it's um you know [96:35] where it's resonating now if if what you [96:37] put out is bad then you're not going to [96:39] collect good data because people aren't [96:40] going to use it for anything because it [96:41] sucks so but but I do think that you you [96:44] have hypotheses for what people might [96:46] really want to use it for and they're [96:48] not all going to be right and you want [96:49] to kind of go early enough on that as as [96:51] more yeah so I'm building to this [96:53] question of uh uh to you is product [96:59] creation an act of invention or [97:03] Discovery like is David always inside [97:06] that marble and you just need the very [97:09] best tooling and ability to get things [97:11] in market and get feedback to discover [97:13] the statue of David or do you conceive [97:15] of David in your head and I'm like I'm [97:17] going to make this and put it in the [97:19] world does it have to be one or the [97:21] other I mean I think it's a combination [97:23] I think you're basically taking some [97:25] kind of [97:26] values either kind of like values that [97:29] you have or a value for something that [97:31] you believe should exist in the world [97:34] and trying to build something that's [97:35] aligned with that while trying to match [97:38] it up with what is is going to resonate [97:42] the most with people right I think if [97:43] you if you just do the latter then I [97:47] think you just don't have enough [97:48] conviction to see through hard things [97:51] and if you just do the former then you [97:53] probably don't get to product Market fit [97:54] or optimize what you do because you're [97:56] not focused enough on your customers so [97:59] um I think I think both probably matter [98:03] yeah as I pour through all these [98:05] historical examples there's uh like the [98:08] market discovers some other participant [98:10] in the Marcus discovers the stories [98:12] format and suddenly the whole world is [98:14] like oh my God that is the way that we [98:17] all that's the social interaction [98:18] mechanism and that's like a pretty [98:21] pure Discovery where [98:24] you have products that have stories they [98:25] perform very well uh that's been [98:28] discovered but there's other times it [98:29] feels like everything you're trying to [98:30] do in reality Labs all you know 50 plus [98:33] billion dollars that you've put into it [98:35] is like we're going to freaking will [98:37] this thing into existence because I have [98:38] an idea of the way that I want the world [98:40] to be I'm not really like asking for [98:42] that much feedback I'm putting it in the [98:45] world what's a combination I I mean I I [98:47] think that there's there's certainly a [98:49] lot of things that we've invented or [98:51] created for the first time I mean like [98:52] in 20 6 when we built the first version [98:54] of Newsfeed right the like before that [98:57] social networks were basically profiles [98:59] and then we were like hey like people [99:00] actually kind of want to get the updates [99:01] and let's like show them that and if we [99:03] rank them then we can you know there's [99:04] so many updates that this can help [99:05] people parse through that quickly and [99:07] today it's like hard to imagine any [99:10] social product without a feed so I think [99:12] that that's obviously there some of [99:13] these things are sort of [99:15] seminal I I don't want to call it an [99:17] invention but like patterns that we that [99:19] we basically established first and then [99:22] some of them are ones that other people [99:24] did where we take pride in learning from [99:27] what is working in in the in the world [99:31] um you know you know we're not [99:32] embarrassed about learning from things [99:35] that other people like discovered that [99:37] were good first and and then we build [99:39] the better version of it and [99:42] um I [99:44] mean damn I think that that's you know [99:47] no one company is going to invent [99:49] everything right I think if you don't [99:51] invent anything then it's hard to to [99:53] kind of be a successful company but um [99:56] but I I do think that there's a mix of [99:57] this there are more smart people outside [99:59] of your company than inside your company [100:01] if you're not learning from what's going [100:02] on in the market then you're missing a [100:04] lot of opportunities to get valuable [100:06] signal from from people in the community [100:08] and customers about what they want you [100:09] to be doing which speaks to the thesis [100:13] of Facebook is a technology company um [100:15] Meta Meta is a technology company uh [100:19] we'll get to that later [100:21] um Ben and I I have been uh having a [100:24] conversation I want to take this uh to [100:27] open source um and open source [100:30] technology and it's importance to you [100:31] and Ben posited first to me and then to [100:34] many other people in our calls over the [100:35] last couple weeks that meta has been the [100:41] largest beneficiary of open- source [100:44] technology in the modern world and I'm [100:47] curious if you would agree with that and [100:49] if you would comment on your [100:51] relationship to open source [100:54] I think almost all of the major [100:55] technology companies at this point are [100:58] primarily using open source Stacks so [101:01] yeah I mean I don't we wouldn't have [101:02] been able to get built without open [101:04] source I think probably that's true for [101:07] any new company that's been created [101:09] since like I don't know 19 the late [101:12] 1990s or something um for US Open Source [101:17] has been important and valuable um I [101:21] mean you were the first big company [101:22] built on the L stack yeah yeah know and [101:25] it's it's great makes it super easy to [101:27] develop stuff quickly and iterate [101:28] quickly but we've also had an [101:30] interesting relationship this with this [101:31] because sequentially as a company we [101:33] came after Google so Google was the [101:35] first of the great companies that built [101:39] this distributed computing [101:40] infrastructure so they came first so [101:41] they were like all right let's keep this [101:43] proprietary because it's a big Advantage [101:44] for us and then we're like all right we [101:46] need that too but we built it and then [101:48] we're like okay not an advantage for us [101:50] because Google already has that so uh we [101:53] might as well just make it open and by [101:55] making it open then you basically get [101:58] this whole community of people building [101:59] around it so you know it wasn't going to [102:01] help us compete with Google for any of [102:03] the stuff that we were doing to have [102:05] that technology but what we were able to [102:07] do with things like open compute were um [102:10] get it to become the industry standard [102:12] so now you have like all these other you [102:13] know cloud service platforms that you [102:16] know basically use open compute and [102:18] because of that the supply chain is [102:20] standard around standardized around our [102:22] designs which means that it's like way [102:24] more Supply way cheaper to produce we've [102:26] saved billions of dollars and the [102:28] quality of the stuff that we get to use [102:29] goes up so all right that's like a [102:31] win-win but I I think in order for this [102:34] to [102:36] work we do a lot of Open Source stuff we [102:38] do a lot of Clos Source stuff I'm not [102:40] like a zealot on this um I think open [102:42] source is is very valuable but I also [102:44] think it sort of makes sense for us [102:46] because of our position in the market [102:47] and the same for AI I mean around L okay [102:50] this is where we were going with this [102:52] yeah it's um you know Sim similar deal [102:55] um you know we want to make sure that we [102:57] have access to a leading AI model right [103:01] I think just like we want to build the [103:03] hardware so that we can build the best [103:05] social experiences for the next 20 years [103:08] I don't think that you know for for us [103:10] it's like we've just been we've been [103:12] through too much stuff with the other [103:13] platforms to to fully depend on on [103:16] anyone else and we're big enough company [103:17] at this point that like we don't have to [103:19] right we can build our own core [103:21] technology platforms whether whether [103:23] that's going to be ar glasses or mixed [103:26] reality or AI so I think that's somewhat [103:28] of an imperative for us to to go do that [103:31] but you know these things are not like [103:33] pieces of software that are monolithic [103:35] they're ecosystems they get better when [103:36] other people use them so for us there's [103:40] a huge amount of good and it [103:42] philosophically lines up with where we [103:44] are we're like I mean look I I I [103:46] definitely you know firsthand have a lot [103:48] of experiences we were like trying to [103:50] build stuff on mobile platforms the [103:52] platforms are just like now you can't [103:53] build that okay uh that's frustrating [103:56] can we take a real quick detour what's [103:58] up I really want to ask you something we [103:59] can we can take a detour okay you took a [104:00] detour we're going to take a detour um [104:03] help us with our research here uh the [104:06] eve of the IPO okay this is a quite a [104:09] detour wait quite a [104:11] detour really grabbing the wheel here is [104:13] this connected or did you just decide [104:15] that it was your turn to [104:17] talk I'm sorry I was like really like [104:20] wound up know open and a [104:23] back to get back I think it's related I [104:27] do I really genuinely [104:29] do Facebook on mobile is HTML 5 uhhuh in [104:34] 201 May 2012 yeah [104:38] yeah I want to ask you what you were [104:40] thinking going into the IPO with [104:43] Facebook on mobile being [104:44] HTML5 and what happened you IPO at $1 [104:48] billion market cap over the next 3 [104:49] months you have a 50% draw down probably [104:53] because of that um but I I guess the [104:57] related question to what we're talking [104:58] about now [105:00] is how much is that informing your [105:02] approach here with a it was a pretty [105:05] different different technical issue so I [105:08] mean our Legacy was building on web for [105:11] websites and we were very used to [105:13] building one thing and being able to [105:15] continuously deploy it and it fits with [105:17] our iteration style and all that so now [105:19] all of a sudden this like app model [105:21] comes along and it's like we have to [105:23] build like different ones for each phone [105:26] and like you have to go through approval [105:28] to get it shipped and we have to wait [105:30] like weeks before it can ship it's like [105:31] this sucks so we're like all right we [105:34] have an idea let's build this platform [105:36] where we can get a web-based platform so [105:39] you basically build a native shell and [105:41] you build this web-based platform in it [105:43] and we'll be able to just update our [105:45] apps every day and we'll ship One Thing [105:48] Once and we'll update our apps across [105:50] Android and iPhone and blackberry and [105:53] Windows mobile and all the stuff that [105:54] existed at the time because it it hadn't [105:56] gotten Consolidated yet and um like [105:59] that's going to be that's we're like [106:01] basically whatever downside we are going [106:04] to have from not having the most native [106:06] thing we're going to make up for in [106:07] velocity and by having like way more of [106:10] our energy focused on one platform well [106:13] we were wrong it turned out that you [106:15] know having the native integration was [106:18] actually critical for having the [106:20] interactions feel good and [106:24] and that so we basically went through [106:26] this period where we had to go rewrite [106:27] our apps from scratch and that coincided [106:31] with mobile growing dramatically and [106:34] mobile we didn't have any Revenue um [106:38] because it may seem like it's pretty [106:39] similar but there's a very big [106:40] difference on on desktop you basically [106:42] have the app and you have a column on [106:44] the side that we could put ads and on [106:47] mobile we needed to figure out what does [106:48] it mean to put ads into the experience [106:52] right so let's be clear the feed ad had [106:54] not been invented yet like the the team [106:57] did yeah and it's and like advertisers [106:59] have like specific formats that they [107:00] like working with and the idea that we [107:02] were just going to be like all right now [107:03] your ad is going to look like a feed [107:04] story was a big challenge for [107:07] advertisers and the idea that now for [107:10] people you were going to have this [107:11] organic feed that was the most important [107:13] part of the product and now we're just [107:14] going to start putting ads in it was a [107:16] challenge for for for the people who are [107:18] using the product so we needed to figure [107:22] that out and we need to get the apps to [107:23] be better and we basically took I think [107:27] it must have been like a year or [107:28] something we're just like look we're [107:29] going to pause feature development of [107:31] the [107:32] company because it's hard enough to do a [107:34] rewrite right it's if you you look at [107:35] like the history of the tech industry [107:37] there are all these examples like [107:39] Netscape and you know these things that [107:40] like they tried to do a rewrite they [107:42] needed to reestablish their technical [107:44] platform and they also tried to add [107:46] features they basically just like never [107:47] terminated so that's a real risk right [107:49] when you're like like completely [107:51] changing your underlying platform that [107:53] there's you're you're going to miss it [107:55] um it's like all right we got to [107:56] minimize the chance that that happens so [107:58] we're not going to ship any new features [108:00] we're just going to rewrite it make it [108:02] faster um but while we're doing [108:06] this like basically Mobile's growing so [108:09] the percent of our traffic that is [108:12] monetizable is shrinking because web is [108:14] basically shrinking and and Mobile's [108:16] that's your only business model yeah and [108:18] I was like all right like and you're now [108:20] recently the thing is it was actually [108:21] pretty clear what we needed to do you I [108:23] think strategically a lot of the time [108:25] it's [108:26] um it's somewhat harder to know what to [108:29] do when you're winning like when stuff [108:31] is going well it's like what is the next [108:32] move to like go from winning to winning [108:35] more um but when you're losing it's [108:38] usually pretty clear what you have to do [108:40] and and I think a lot of it is like is [108:42] is just do you have the pain tolerance [108:44] to go do it so a lot of this was like [108:46] all right the team was like okay [108:49] um well we're going public and you know [108:52] it's investors really aren't going to [108:53] like this if we are like not making [108:57] money for a year and a half and it's [108:59] like well a year and a half is short in [109:01] the grand scheme of things let's do this [109:04] and we did it and it was a painful year [109:06] and a half and then we came out of that [109:08] and we were in great shape so I I I [109:10] think like people inside the company had [109:13] felt a lot better sooner because it was [109:15] pretty clear to people that we were [109:16] doing the right thing um and they they [109:19] knew that we were executing it in a [109:21] responsible way um um and basically [109:24] focused and we're doing the right thing [109:25] but I I think it's actually when you [109:28] have something that's working well and [109:30] you're on one local Hill and you need to [109:33] jump to another Hill that's the stuff [109:35] that's really culturally hard um but [109:38] this one I think was it was it was not [109:40] fun there have been a period a series of [109:42] periods throughout the company that were [109:43] not I don't know not not the not the [109:46] most fun periods but um although that [109:49] one in retrospect is you know looks [109:50] pretty good in retrospect it's like not [109:53] that bad it's like your market cap only [109:54] got cut in half for a year and a half [109:57] like [110:01] great great yeah I'll take that um [110:05] anyway where were we well maybe can I so [110:08] can I connect so so David asked hey can [110:10] you help us with with our research can I [110:12] follow that thread that you just said [110:14] hey that that one wasn't so bad um [110:17] there's been a lot of amazing things the [110:20] company has done there's also been like [110:21] a lot of criticism if you were to be [110:23] self-critical of your own company of [110:25] your own creation of all the criticisms [110:27] that have happened over the years which [110:29] do you believe is the most legitimate [110:31] and why I mean there's so many things [110:33] that we've messed up um that there are [110:36] many criticisms that are [110:39] legitimate but if that was a year and a [110:41] half [110:42] mistake uh I think you know one of the [110:44] things I reflect on over the last like [110:46] 10 years or so was you know the the [110:48] political environment just changed [110:49] dramatically right it's like before 2016 [110:52] there was like not a month that went by [110:53] except for maybe this IPO period where [110:55] the sentiment about the company was [110:58] anything but positive and then after [111:00] 2016 after the election basically there [111:02] was not a month for a while where the [111:04] sentiment about the company was positive [111:06] and we I I think so much of this stuff [111:09] is correctly understanding your place in [111:13] the world and in history and you know so [111:15] I think you know we talked about before [111:17] how it's [111:18] like I I think we understood that we are [111:21] a technology company [111:23] in that you have to be a technology [111:25] company to build this kind of thing um I [111:27] think we understood that we're not a [111:28] social network company we're a human [111:30] connection company and that will take [111:31] different forms over time um the [111:34] political environment I think I I didn't [111:36] have much sophistication around and I [111:39] think I just fundamentally misdiagnosed [111:41] the problem so I I I I think that there [111:44] was this basic Challenge and there were [111:47] a lot of things I don't want to simplify [111:48] this too much I there there were a lot [111:49] of things that we did wrong there some [111:51] things that we did right but I think one [111:52] of the things that I I look back on and [111:54] regret is [111:57] um I think we [112:00] accepted other people's view of some of [112:04] the things that you know they were [112:06] asserting that we were doing wrong or [112:08] were responsible for that I don't [112:10] actually think we were and now that's [112:13] it's [112:15] um there were a lot of things we did [112:17] mess up and we needed to fix but I I [112:20] think that there's this View [112:23] where when you're a company and someone [112:26] says that there's an issue I think the [112:28] right instinct is to like take ownership [112:29] for it right say like okay like maybe [112:32] maybe it's not like maybe it's not all [112:34] our thing but we're going to fully own [112:37] this problem we're going to take [112:37] responsibility for it we're going to fix [112:39] it but when it's a political problem I [112:42] actually think a lot of the [112:44] time sometimes there are people who are [112:46] operating in good faith who who are [112:47] identifying a problem that want [112:48] something to be fixed and there are [112:50] people who are just looking for someone [112:51] to blame and I I think to some degree if [112:56] you if if you take responsibility for [112:59] things because you think it's a [113:00] corporate crisis not a political crisis [113:03] um and your view is like okay I'm like [113:05] I'm going to take responsibility for all [113:07] this stuff like people are basically [113:09] like like blaming social media in the [113:10] tech industry for like all these [113:12] different things in society and if we're [113:14] saying okay we're going to really like [113:15] do our part to go fixes like this stuff [113:18] I know there were a bunch of people who [113:19] just took that and were like oh you're [113:20] taking responsibility for that let me [113:22] kick you for more stuff and and honestly [113:25] I think we should have been firmer about [113:28] and clearer about which of the things we [113:30] actually felt like we had a part in and [113:33] which ones we didn't and my guess is if [113:36] the [113:37] IPO was a year and a half mistake I [113:40] think that the political miscalculation [113:42] was a 20-year mistake and I so it [113:45] started in 2016 and I think that we have [113:49] been working super hard to fix a lot of [113:51] issues and to figure out kind of what [113:53] the right tone is for navigating what is [113:55] a very kind of fraught political Dynamic [113:58] across both the country and multiplied [114:00] across all these places around the world [114:01] and I think we've sort of found our [114:03] footing on and like like what what what [114:06] the principles are like where we think [114:07] we need to improve stuff but where um [114:11] you know where people make allegations [114:12] about the impact of the tech industry or [114:14] our company which are just not founded [114:16] in any fact that I think we should push [114:18] back on harder and I think it's going to [114:21] take another 10 years or so for us to [114:24] kind of fully work through that cycle [114:26] before our brand and all of that is back [114:29] to kind of the place that it maybe could [114:31] have been if I hadn't messed that up in [114:33] the first place so but look in the grand [114:36] scheme of things 20 years isn't that bad [114:37] either and we'll get through it um and [114:41] and I think we'll come out stronger um [114:43] but I do think that is one of the kind [114:47] of more interesting critiques that I [114:49] think people get I we get critiques on [114:50] both sides on that there are people who [114:51] don't think we've taken enough [114:52] responsibility but um but I I think [114:55] certainly there's one line of critique [114:56] which is you know you you kind of bought [114:58] into too much of the stuff that you [115:00] shouldn't have and [115:03] um yeah I think it's going to take us a [115:05] long time to dig out of that do do you [115:07] have a reasonable framework at this [115:09] point for like okay here's the stuff [115:10] where I feel like we actually do want to [115:12] take responsibility for it and here's [115:13] the stuff where we're like no that's not [115:15] our [115:16] fault yeah I mean at this point I think [115:18] a lot of the stuff has been [115:19] studied so I mean I don't want to go [115:21] rehash all the different things but um [115:25] but I I think at this point there's been [115:26] like years of academic research on a lot [115:28] of these things and you know part of the [115:30] thing that's challenging is and one of [115:31] the things that we've learned is we [115:32] actually should be trying to support [115:34] more academics and doing more of this [115:35] research ahead of time because like when [115:36] you get to a point where you're being [115:38] kind of accused of something you're not [115:40] super credible just standing up yourself [115:42] and being like I don't think we did this [115:43] one um you know it's like so but what [115:47] has worked over time is like you know [115:48] you do the research in advance and and [115:50] you get kind of third party academics [115:53] respected folks who get to debate all [115:55] these different issues and then it's [115:56] like oh no actually like the evidence [115:58] just does not show that social media is [116:00] correlated with this kind of harm at all [116:02] so I I I think that like or or it's you [116:05] know so I think that that's um I think [116:07] that that's it's it kind of cuts it cuts [116:09] both ways to me this brings up another [116:12] topic we wanted to talk about with you [116:14] and you just you know you said that's a [116:16] 20 years isn't that long um I'm young [116:20] you're you're young uh we this is the [116:23] advantage of being a College Dropout [116:24] founder when you start when you're 19 [116:26] it's like hopefully we have more than 20 [116:28] years left and hopefully you have like [116:29] Buffet duration yeah I you know [116:31] hopefully you set up the [116:33] company in a especially at the time [116:37] truly unique way uh where you can [116:40] operate the company and take that you [116:43] know take that approach um do you mean [116:45] Super boting shares super voting shares [116:47] is like you know the technical aspect [116:49] there I think there are a bunch of [116:50] technical aspects to it that we're not [116:52] going to get into it in this [116:53] conversation but effectively you can [116:56] take that perspective in a way that if [116:57] you are a CEO non-founder you know [117:01] without a structure that you've set up [117:03] you just can't and I think you know in [117:05] doing all the research for this a thesis [117:08] we've developed is that like that is [117:10] just one of the core fundamental [117:12] advantages that meta has um so as you [117:15] were setting up the company you know [117:16] when you were so young even when you [117:18] went public you were so young like why [117:20] was that so important to you [117:24] well in 2006 Yahoo wanted to buy the [117:27] company for a billion dollars and [117:29] everyone on our management team wanted [117:31] to sell it and the board tried to fire [117:33] me and everyone and basically in the [117:36] next year everyone else on the [117:37] management team left because they I [117:39] hadn't done a good job communic I mean I [117:40] don't want to blame them I I like I [117:42] hadn't done a good job communicating the [117:43] long-term Vision because I didn't I [117:44] wasn't thinking about that at the time I [117:46] like wasn't thinking in terms of this as [117:48] a company I was like this is a great [117:49] project it's awesome like a lot of [117:50] people like what we're doing I think [117:52] this will probably continue for a while [117:54] I think it's going to be pretty [117:55] important in the world um but I didn't I [117:57] didn't like know how to think in terms [117:59] of you know like long-term Financial [118:01] plans or [118:04] um Cas to them why it would be worth [118:06] more than yeah yeah or or just like look [118:08] we're doing this for the long term we're [118:09] not planning on selling the company so [118:11] it's like without having made that case [118:12] it was understandable that basically [118:14] Yahoo comes around a lot of people it's [118:16] like this is like all their startup [118:17] dreams come true you got to take this [118:19] offer um because I I like I just wasn't [118:22] in a place where I had the [118:23] sophistication to basically articulate a [118:26] lot of the stuff around where we were [118:29] going longer term it probably wasn't [118:31] super confidence inspiring to them when [118:33] I was like hey I think we should turn [118:34] this down because um we're going to do [118:36] this so um so after that I like all [118:41] right well I don't want to get [118:44] fired from my own company for wanting to [118:46] build it so let's uh try to set up a [118:50] governance structure that makes it [118:51] someone harder to do that um so wow [118:56] learning through [119:00] suffering wow and being very cash [119:04] generative very early such that you had [119:06] a very Realo concern on your hands and [119:08] you just didn't didn't need to cut off [119:10] your arm and sell it to someone in order [119:12] to yeah build your business yeah like I [119:15] think I think this is a fundamentally [119:17] misunderstood thing about oh yeah [119:21] Facebook the startup [119:23] it is the prototypal startup startup you [119:26] are the ICONic startup founder of this [119:29] century and there's a lot of people that [119:31] want to start a startup for a lot of the [119:32] Glamorous reasons of starting a startup [119:36] you hated being a startup and wanted to [119:40] stop being a startup as fast as possible [119:41] and be a like going concern yeah I mean [119:45] I think we're having a lot more fun [119:48] now I get to work on all the stuff it's [119:51] awesome but what is your advice to all [119:53] these Founders who sort of romanticize [119:54] the idea of of starting a company and [119:57] kind of I don't know obviously starting [119:59] a company is not bad right I mean I [120:01] think that there's different schools of [120:02] thought on how to do it I think some [120:03] people think okay I want to go start a [120:05] company so I'm going to like go dive [120:07] into this idea and I just think that [120:09] that's a little bit dangerous because [120:12] there's this issue which is you have to [120:13] be able to be nimble and pivot around [120:16] until you can like figure out what works [120:17] right it's I mean part of the reason why [120:19] I didn't think Facebook was going to be [120:20] the company early on was because when I [120:22] was in school I built like 12 different [120:24] things right that I were just things [120:26] that I wanted to exist and I was like [120:28] all right this is fun okay let's build [120:29] another thing it's like okay this one's [120:31] fun people are still using that I'll [120:32] like help upkeep this one but I had like [120:34] a bunch of other ideas for stuff I was [120:35] going to build too so I just like I [120:37] didn't I didn't like know how to think [120:38] about what a company was going to be and [120:40] and it was so um I think there's [120:43] something about maintaining flexibility [120:46] that's that's helpful um you know once [120:48] you hire a bunch of people you know it's [120:51] a lot easier when you can just have [120:52] meetings in your own head about what [120:54] direction you want to go in um and it's [120:56] like and there's a lot less pride and [120:58] like people dug in when you're just like [121:00] okay I'm going to change direction it's [121:01] like you know people haven't like [121:02] invested their ego in like no we were [121:05] going in this direction and like now I [121:06] must be convinced it's like nah I just [121:08] so I I I do think that that's a thing [121:10] where you want to like keep things lean [121:11] and and and be able to do that and [121:13] that's one of the reasons why we tried [121:14] to get the company back to being you [121:16] know whatever the leanest version of a [121:18] large company is that we can we can be [121:20] but but I do think there there's [121:22] something to that where it's like it's [121:24] obviously it's not it's not super fun [121:26] not having the resources to do what you [121:28] want to do but I think it also is [121:31] problematic to have more people working [121:35] on something than you should have for [121:38] the stage that it's at because then the [121:40] people who are working on it don't have [121:41] the agency to actually like make the [121:43] changes and do the things that they need [121:44] to Which is less fun and then you can't [121:47] attract the best people to go work on [121:48] those things because it's less fun and [121:50] so I do think you got to you just have [121:51] to dial right you're spending a [121:54] gajillion dollars on reality [121:56] labs and it's a technical term it's not [121:59] making that much money so I'm going to [122:01] I'm going to play mark back to you of [122:03] it's not appropriate to have all these [122:05] people and resources working on things [122:07] for more than the stage warrants I'm [122:08] being a little factious here but I'm [122:10] curious how you why you categorize it [122:12] differently I mean well I think some of [122:14] the stuff by the time you're at the [122:16] scale that we're at is also just about [122:19] like what do you want to do over the [122:20] next 10 to 20 years [122:22] and what do you think are going to be [122:23] important and you know we were talking [122:24] about like making your own luck and all [122:26] that and how you it's like I think there [122:27] are some broad Strokes that we can have [122:29] a sense of where things are going I'm [122:31] pretty sure glasses and kind of like [122:33] holographic presence and AR is going to [122:36] be a completely ubiquitous product right [122:39] it's just like everyone who had a phone [122:40] before replaced it with a smartphone and [122:42] then a lot of more people got [122:43] smartphones if all we get is all the [122:46] people in the world who already have [122:47] glasses upgrading to glasses that have [122:49] ai in them then like this is all already [122:52] going to be one of the most successful [122:53] products in the history of the world so [122:55] um and I think it's going to go a lot [122:56] further than that so's that there is the [123:00] thing about controlling our own destiny [123:02] um it's strategically valuable you know [123:04] we did this calculation or estimate at [123:06] some point where it's like how much [123:08] money do we lose from our CORE family of [123:10] apps to the various like taxes that the [123:14] platforms have to like when they tell us [123:17] we can't run the ad business the way [123:19] that we think we should be able to when [123:20] they tell us we can't ship certain [123:22] products so that way like people use the [123:23] things less or like them less and um I I [123:27] it's hard to exactly estimate it but I [123:29] think we might be like twice as [123:31] profitable if we own the platform or [123:33] something so I think from that [123:34] perspective that's worth a lot just from [123:37] like a pure like dollars perspective [123:39] which is not primarily how I come at [123:41] this stuff but even like now I've [123:43] learned a thing or two since the Yahoo [123:45] days and now I at least I'm able to like [123:47] like um I might not be able to convince [123:49] the all the investors that we should be [123:50] investing to the extent that we are in [123:51] reality Labs if I didn't control the [123:53] company but at least I can sort of [123:54] articulate a case for why I am confident [123:57] that it's going to be good over time but [124:00] for me it's always been way more about [124:02] the product [124:04] experience and what you can enable and [124:07] build and you know one of the shifts and [124:10] this is sort of like a value shift [124:13] um over time is you know one of the [124:15] things that um you one of some of the [124:19] early Oculus guys used to say to me that [124:22] there's a difference between building [124:24] good things and awesome things and and [124:28] like good is good right it's helpful [124:31] it's useful it's things that people use [124:34] on a day-to-day basis because it adds [124:35] something to their lives but awesome is [124:38] different awesome is uplifting and [124:43] inspiring [124:45] and just like leads you to just be way [124:49] more optimistic about the future and and [124:51] is is just like this uplifting thing [124:53] about humanity and so I I think a lot of [124:56] what we've done with social media so far [124:58] is is very good right we've got we've [125:01] built these [125:02] products more than three billion people [125:04] use them on a you know near daily basis [125:09] right it's like it's like 3.3 billion on [125:11] a daily yeah yeah so yeah and so that's [125:15] and they use it because it is useful in [125:16] their life right and in in all these [125:19] different ways I mean obviously people [125:22] people use it for different things but [125:24] it's useful and it helps people and it [125:27] helps people stay connected helps people [125:29] build businesses it helps people form [125:30] communities it's good there aren't that [125:33] many people on a day-to-day basis who [125:34] get out of bed and are like [ __ ] yeah [125:36] social media like that's right I mean [125:39] that's not like um [125:42] so I I kind of think for the next for my [125:45] next stage right for the next stage of [125:46] the company the next like 15 [125:48] years I want us to build more [125:52] things that are awesome in addition to [125:55] things that are good and I think that [125:57] they both matter um [126:00] but to me this is like a little bit of a [126:03] kind of the next stage of what I want [126:04] our company to stand for and be and so I [126:09] think a lot of the reality lab stuff [126:12] that we're doing is going to be in that [126:13] bucket um a lot of the AI stuff that [126:17] we're doing I think is going to be in [126:18] that bucket there are a bunch of things [126:19] in the apps that are going to be in that [126:20] bucket too um new apps too but [126:24] um but I don't know I think that there's [126:27] there's just something that's like [126:28] fundamentally pretty good about that and [126:29] that's maybe it's also just like where I [126:31] am in my life right I'm I'm like like to [126:34] think I'm young I'm a little older right [126:36] but it's but it's like I I I do think [126:38] that at this point you know it's not [126:41] just a meta thing also you know in my [126:44] like personal life a lot of what I [126:46] personally value is doing things that [126:49] are inspiring with people who I find [126:51] inspiring [126:52] all right and now so there's the [126:53] personal version of this it's like I get [126:55] to work on you know interesting science [126:58] problems with like Priscilla and my wife [127:01] and like and a bunch of awesome people [127:04] you know I get to you know design shirts [127:07] with like some of the best fashion [127:08] designers in the world right it's like I [127:11] am statues the sculpture of of my wife [127:14] bring back the Roman tradition of [127:16] Designing sculptures of people you love [127:19] um I'm not at all being [127:22] like no I but I mean I think Daniel Aram [127:25] is like a really talented guy and I was [127:26] like that's a person who I'd love to [127:28] work with on something let's go find a [127:30] project you know building you I have one [127:32] of my side projects is you know we have [127:34] this cattle ranch in Kawaii and I'm [127:37] trying to see if we can raise the [127:39] highest quality beef in the world and [127:42] there's like all this stuff it's like [127:43] starts with like it's it's awesome we [127:46] got we got this [127:48] steer Chun he's like he's [127:51] he's just the man he's the man we're [127:53] having a hard [127:55] time keeping him on the ranch because we [127:59] every time we put him in a steel [128:01] enclosure and he sees a female cow he [128:03] busts through the steel [128:04] enclosure but I feel like that's the [128:06] kind of bull that you want to make the [128:08] highest quality beef in the [128:13] world and we're just working with you [128:15] know trying to do really high quality [128:18] awesome things with awesome people [128:19] that's like if if that's what I get to [128:21] do for the next 15 or 20 years then like [128:25] it's going to be a good 15 or 20 years [128:27] was was there a moment like what changed [128:30] like when did this become your priority [128:32] and why I can't it feels so radical that [128:34] it how could it have possibly been [128:36] gradual or was this just like Mark all [128:38] the time and we just couldn't see the [128:42] real Mark I don't know I I think that [128:44] there might have been something around [128:46] the way the company shifted in [128:47] operations around [128:49] Co I mean it's like the [128:52] Co like all these tech companies went [128:54] remote temporarily and it was an [128:56] interesting period to just [128:58] like get some more time like a step back [129:01] I'm a pretty introverted person and I do [129:03] think it's I need to be careful where [129:06] like I get a lot of value and energy and [129:09] ideas from being around other people but [129:11] I also need time with myself and with Co [129:15] I I kind of got that and I it was a time [129:17] of reflection um where I I was able to [129:20] think about this stuff and we were also [129:21] going through this very [129:22] difficult political time in the country [129:26] and and our company was at the center of [129:27] a lot of those things I that that that [129:29] was a cause of a bunch of reflection and [129:31] then I think that a bunch of the things [129:32] that we'd spun up earlier but at smaller [129:36] scale right so the reality lab stuff [129:39] that we started in 2014 really um the [129:44] fair stuff around you know fundamental [129:46] AI research um that you 12 13 2012 2013 [129:53] sometime around then these things they [129:55] they kind of got started and they were [129:57] growing and it was it kind of reached [129:59] this moment which is like are we going [130:01] to double down on this and do this or [130:03] are we going to kind of like do this as [130:05] a hobby I was like no I think we should [130:07] do this right I mean this is I think [130:10] this like this is going to be a really [130:12] important part of what we do and we had [130:14] to make a really important set of [130:15] decisions where we knew was going to be [130:16] really painful you know [130:19] to go double down on on those things and [130:22] build out the AI infrastructure that we [130:24] needed to and scale up some of the [130:26] reality lab stuff and I knew that a lot [130:27] of the investors would hate it at least [130:30] in the short term before it's clearly [130:32] the right thing to do [130:35] um the what I didn't know was that at [130:39] the time I thought they were going to [130:40] not like it but I thought it was going [130:43] to be okay because I didn't think there [130:44] was also going to be a recession at the [130:45] same time um so that like really it's [130:48] like I mean look like like you learn who [130:50] you are through challenges right it's [130:52] like we we had like a really you know [130:53] it's like okay like losing half of your [130:56] market cap is is quaint compared to [130:59] losing 80% of your market cap or [131:01] whatever it was right it's um but so I [131:04] mean these are all intentional decisions [131:06] right it's like I mean there are a lot [131:07] of conversations that we had which are [131:08] like should we go forward with this [131:11] and the answer that I came out with is [131:14] yes I this is what I believe in I think [131:16] this is going to be important for the [131:18] world I think it's going to work over [131:20] time we're no stranger to going through [131:22] painful periods in some ways it makes [131:25] the company better let's do [131:29] it [131:35] well we're we're start we're starting to [131:39] enter uh looking at the clock like [131:42] conclusion lightning round territory [131:44] I've had one like lurking in the back of [131:46] my head it makes sense to me that you [131:49] would Rebrand the company something that [131:51] is not Facebook given how broad the [131:53] family of apps was that you've got let's [131:56] imagine you were going to Rebrand it [131:58] today you've got AI going on you've got [132:00] AR going on you've got VR going on [132:03] um would you pick the name meta if you [132:06] were going to rename the company today I [132:08] like [132:10] meta it's a good name you know Finding [132:13] good short [132:15] names I mean this actually was a thing [132:17] that we talked about for a while because [132:18] it was pretty clear that if Facebook is [132:21] continuing to grow in importance in the [132:23] world which I think a lot of people [132:24] don't appreciate and it's kind of [132:26] mind-boggling at the scale that it's at [132:28] but the the others I mean you know we [132:30] went through a period where it's like we [132:31] had Facebook and a handful of small apps [132:32] and now we have like you know four apps [132:35] that have a billion people or more using [132:37] them you know hopefully in the next [132:38] three years five with threads if that [132:40] continues scaling and um this was a [132:44] conversation that we had a bunch right [132:46] it's like does it make sense for the [132:47] name of the company to be one of the [132:49] apps as the other apps as it's really [132:51] becoming a family of apps [132:54] and it was important to [132:57] me this was also coinciding with a lot [133:01] of a lot of the challenges that we were [133:03] having right the political brand [133:04] challenges different things and a lot of [133:06] people were proposing that from the [133:08] perspective of running away from the [133:11] Facebook brand right they they were like [133:12] oh well like is the does the Facebook [133:14] brand have issues do we need a new brand [133:15] and I was like we don't run away from [133:17] that right it's like like it might make [133:20] sense one day [133:21] to not have Facebook be the lead brand [133:24] for the company because we do so many [133:25] different things but I'm only going to [133:27] do this when we come up with a brand [133:30] that is going to be a vocative of the [133:32] future that we're trying to build [133:33] because we run towards something we [133:35] don't run away from [133:36] things and when we got to meta then I [133:39] was like all right we're here and it was [133:41] around the time when we were doubling [133:44] down on the investment and where there [133:45] was all the controversy and it's like [133:47] look like if we're doing this we're [133:49] going to lean into this and we're going [133:50] to do it so let's do it and if I were to [133:53] make the case to you I [133:56] feel the core competency of [133:58] meta is you are able to discover [134:03] products in the world you have great [134:04] ideas you work on them you discover [134:06] interesting products and you mark are [134:08] not someone who wants to Define Yourself [134:11] by anything you you want to have like [134:14] your hands on a bunch of great controls [134:16] and maximize your degrees of freedom see [134:18] where the world's going and then have [134:19] the best freaking spaceship possible to [134:21] go maneuver your way over there yeah it [134:23] seems like I would pick a brand that [134:24] Almost Doesn't pigeon hole me into a [134:27] specific future I might be looking for [134:30] something that's more like look I I want [134:32] to maximize my [134:35] maneuverability [134:37] yeah I get it um [134:42] but I don't know that's just I [134:45] I we align around a vision and a mission [134:48] of what we're trying to do and we run [134:49] towards it that's always been how we've [134:51] operated yeah and in many ways doing [134:53] what I just suggested would kind of be [134:55] running it's like well we don't believe [134:56] in it that much you're like no I I mean [134:59] we're a company that like puts a flag [135:00] down around what we're doing and we're [135:02] going to go do it it's like put a wall [135:04] in front of us there's going to be a [135:06] mark shaped hole in the [135:07] [Laughter] [135:11] wall uh speaking of lightning rounds and [135:14] Mark shaped holes [135:16] um you are accelerating what used to be [135:20] your annual challenge es I always I mean [135:22] when when we were all kids uh and we [135:25] didn't know each other I mean I was so [135:27] inspired you would do your annual [135:28] challenges you would post about them and [135:30] I was like wow that's like pretty damn [135:32] cool and then we all get a little older [135:36] and we all have kids on the stage now [135:39] and we all have companies on the stage [135:41] now and there's some large some small [135:44] the demands on your time like it for me [135:47] especially I think lots of people that's [135:48] like that space gets sucked and you have [135:53] expanded [135:54] it [135:57] how what do you mean well you used to do [135:59] annual challenges and I feel like you're [136:01] now doing weekly challenges you're [136:02] designing t-shirts you're making [136:04] sculptures you're raing I just like I'm [136:06] trying to trying to do inspiring things [136:09] I mean it's yeah I don't know [136:13] um I'm also really [136:17] competitive who's your competition for [136:19] this what do you mean [136:21] oh I was just thinking about about other [136:23] things that I'm doing I'm like what have [136:24] I what have I started doing I like got [136:26] into all these like more extreme sports [136:29] and fighting and stuff and like I don't [136:31] know I mean there's there's we Face a [136:34] lot of competition and a lot of [136:35] different aspects of what we do um so I [136:38] mean there's the social media [136:39] competitors there's the platform [136:40] competitors I think apple is a bigger [136:42] competitor Than People realize they kind [136:44] of think hey they're doing a different [136:46] type of thing but I don't know I think [136:48] over the next 10 15 years I I think that [136:52] kind of like battle over ideological [136:55] battle over what should the architecture [136:57] be of the next set of platforms are they [137:00] going to be the closed integrated Apple [137:03] model that Apple has always done which [137:05] again I mean like there's [137:08] multiple there are multiple good ways to [137:10] build things right so I think if you [137:13] look at the different generations of [137:15] computing [137:17] um PCS mobile they've all had sort of a [137:20] Clos integrated version and an open [137:24] version and the thing that I think [137:26] there's just a ton of recency bias [137:28] around is because iPhone basically [137:32] won you know I know that there are more [137:34] Android phones out there but I mean but [137:35] iPhone is sort of like the intellectual [137:37] leader and by far like has all the let's [137:39] take it as a conce yeah um I think that [137:43] there's the recency bias and probably [137:44] like almost everyone here has an iPhone [137:46] and right I think because of the recency [137:48] bias there's sort of this view that's [137:50] like oh no this is is just the superior [137:51] way to do things but I I I don't [137:54] actually think that's a given right in [137:55] in the PC era windows with the open [137:58] ecosystem was the leader and part of my [138:02] goal for the next 10 15 years the next [138:06] generation of platforms is to build the [138:08] next generation of open platforms and [138:10] have the open platforms win and I think [138:13] that that's going to lead to a much more [138:14] vibrant tech industry now there are [138:17] advantages of of doing a close and [138:20] integrated model I think Apple will have [138:21] a place for sure I expect them to be our [138:24] primary competitor and I think it will [138:26] not [138:27] be just a product competition I think [138:29] it's like a in some ways very deeply [138:32] values driven and ideological [138:34] competition around what the future of [138:36] the tech industry should be and you know [138:38] how open these platforms whether it's [138:40] things like llama and AI or um the [138:43] glasses or different things should be [138:46] for developers like an individual [138:47] someone getting started in their dorm [138:49] room like me to not have to ask for [138:51] permission to go build the next set of [138:53] awesome [138:55] things I've got a closing question if [138:58] here please thank [139:01] you so so we have a lot of builders in [139:04] the audience tonight a lot of [139:06] Founders uh we in probably the most [139:10] interesting technology environment since [139:13] the early mobile days in terms of [139:16] opportunity it's been 20 years you might [139:18] have to go back a little bit but what [139:20] advice do you have for Founders today on [139:22] something that's different than trying [139:24] to pattern match Mark Zuckerberg from [139:26] 2004 given we live in a different world [139:30] today yeah I don't know I mean just do [139:33] something that you care about [139:36] and I mean if you're trying to run our [139:39] strategy try to learn as quickly as you [139:40] can but but I mean if there's like I [139:42] think part of what I'm trying to say [139:45] is I think there are different ways to [139:47] build stuff right it's like ourway [139:49] worked for me [139:51] an art team you know it's different [139:53] things have clearly worked for other [139:58] companies I don't know one day one day [140:01] my daughter went to we went to took her [140:03] to a Taylor Swift concert [140:05] and she she was like you know Dad I kind [140:08] of want to be like Taylor Swift when I [140:10] grew up hell yeah I was like you you [140:13] can't you can't that's not available to [140:16] you I was like but and she and she [140:19] thought about it and she's like all [140:21] right when I grow up I want people to [140:23] want to be like August Chan [140:27] Zuckerberg and I was like hell yeah hell [140:31] yeah so I I think that that's [140:35] um yeah I don't know I I think it's like [140:37] look learn from other [140:39] people's successes and failures but do [140:42] your own [140:43] thing I love that love that well [140:48] well that is the perfect place to leave [140:50] things um we made you something that you [140:55] already have a very amazing [140:57] well-designed shirt uh I hope you have [141:00] room in your life for more than one I I [141:02] do you know I used to only wear one type [141:05] of shirt now I've moved [141:09] on so David and I made you a custom one [141:12] of one shirt that represents tonight [141:16] thank [141:18] you awesome [141:20] it is size [141:22] Zuck so no one else can you know there's [141:25] they can ever be made again and we've [141:27] got these coordinates on the back the [141:29] first one GPS coordinates GPS [141:31] coordinates the first one represents [141:33] Kirkland house where you wrote the first [141:35] line of code for Facebook and the second [141:37] one is Chase Center awesome so thank you [141:40] for joining us here tonight for joining [141:41] us [141:46] [Music] [142:20] everyone [142:21] thank you so much huge thank you to Mark [142:22] Zuckerberg [142:26] woo thank you all for making something [142:29] tonight something that we will never [142:30] ever forget ever we have some thank yous [142:33] we have a whole lot of thank yous making [142:35] tonight happen has taken our entire [142:38] summer it's taken the entire summer of [142:40] dozens of people there were about a [142:43] thousand people working on tonight and I [142:45] just want to give them all a big hand [142:47] thank you so much [142:51] uh thank you to Mark and the entire meta [142:53] executive team that we got to talk to to [142:54] prep for this Daniel and the Spotify [142:56] team uh Emily and Lauren from Bloomberg [142:58] in the circuit Jensen mileen Janine [143:01] everyone from the whole Nvidia team to [143:02] Hermes for dressing us tonight thank [143:05] quite presentable [143:07] woo to our families and our lovely wives [143:10] thank you so much most importantly thank [143:13] you to our wives and of course thank you [143:15] to Jamie Diamond JP Morgan Chase JP [143:18] Morgan payments for making this whole [143:19] evening possible it's been a dream [143:21] partnership we are so grateful [143:24] listeners we will see you next time next [143:27] time and thank you Mike [143:31] [Applause] [143:34] [Music] [143:43] Taylor David thank you so [143:46] much [143:48] yeah who got the true there is it you is [143:53] it you is it you who got the TR now now [143:57] is it you is it you is it you sit me [144:00] down say it straight another story on [144:03] the way who got the truth [144:07] now everybody's [144:09] talking nobody's listening these days I [144:13] feel lost man lost in [144:17] opinions everybody's fighting [144:20] nobody's winning take me home cuz I [144:24] don't know what's going on in the world [144:26] I'm living everybody break break [144:28] breaking up the [144:30] dinner oh [144:33] baby through all the smoke I need to [144:35] know who got the truth yeah is it you [144:40] you you yeah who got the truth now now [144:44] is it you is it you is it you sit me [144:47] down say it's tra another story on the [144:51] way who got the true [144:54] now not here for the cheat talk they sip [144:57] flop like a [144:59] seesaw not free under these laws now the [145:02] world see what we saw people wonder what [145:05] to do now it took a body cam to get the [145:08] truth out hit the streets trying to move [145:11] out we got so much to lose now everybody [145:14] break break breaking up the [145:17] dinner oh baby [145:21] through all the smoke I need to know who [145:24] got the truth yeah is it you you you you [145:28] you who got the truth now now is it you [145:32] you you set me down say it straight [145:36] another story on the way who got the [145:39] truth now who got the [145:42] truth yeah acquire [145:46] live from the chase Center [145:53] who got the [145:55] TR [145:58] yeah [146:00] yeah let's get it