Zuckerberg Targets Apple Architecture to Secure Meta Independence

The Mark Zuckerberg Interview — Acquired

Acquired

Meta is structurally engineered to amplify Mark Zuckerberg's long-horizon strategic bets, positioning the company for a fifteen-year ideological battle against Apple's closed computing model.

AI-assisted summary of The Mark Zuckerberg Interview — original source. Check the original for full context.

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Detailed notes

## Background Published on YouTube by the channel Acquired on September 18, 2024, this page features a live interview with Meta founder and CEO Mark Zuckerberg. The video description highlights that the event took place in front of a live crowd of 6,000 people at the Chase Center, offering a remarkably candid look into Meta's company strategy, early Facebook history, and Zuckerberg's real, intense daily demeanor leading the company.

## TL;DR In this extensive live interview, Mark Zuckerberg discusses his evolving leadership philosophy, emphasizing a shift toward high-conviction open-source initiatives and products that are "awesome" rather than just "good," such as Reality Labs and Meta AI. He reflects on massive historical challenges, including the painful 2012 HTML5 mobile rewrite and a profound "20-year mistake" regarding political miscalculations post-2016. Zuckerberg explains how Meta's corporate structure and rapid-iteration strategy allow the company to survive competitive waves, positioning Apple as their primary ideological rival in a long-term battle over the fundamental architecture of computing platforms.

## Atmosphere & style The interview carries an intense, high-energy arena vibe, blending the polished professionalism of a major tech event with the raw, unpredictable edge of a live performance without retakes. Zuckerberg exhibits a newly confident, unapologetic demeanor, showing sharp competitive drive alongside self-critical reflection when discussing past corporate traumas. The dynamic between the hosts and Zuckerberg is intellectually heavy-hitting yet peppered with casual humor, moving from deep analytical breakdowns of tech strategy to lighthearted personal anecdotes about custom shirts, family concerts, and Hawaiian cattle farming.

## Key takeaways - [18:37](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1117s) Mark Zuckerberg views Meta not as a social media app company, but as a technology company focused fundamentally on human connection. - [10:22](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=622s) Meta's ultimate strategic goal for its smart glasses initiative is to create high-fidelity holograms that blend into the physical environment to serve as the ultimate digital social and AI experience. - [21:15](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1275s) Zuckerberg defines a true technology company by having deep technical competence embedded within its leadership, contrasting it with companies that have non-technical CEOs and boards. - [22:59](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1379s) Meta's core operational strategy relies on continuous, rapid iteration and shipping products early to establish tight feedback loops, presenting a philosophical opposite to Apple's highly polished, secretive approach. - [33:50](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2030s) Open-sourcing key technologies like the Open Compute project and Llama is a pragmatic, strategic move designed to standardize industry supply chains, cut costs, and ensure Meta's autonomy from competitor platforms. - [35:55](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2155s) The company's early HTML5 mobile strategy was a massive miscalculation that forced Zuckerberg to freeze all new feature development for 18 months to execute a total native rewrite of their mobile apps. - [42:08](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2528s) Zuckerberg reflects on his response to the post-2016 political onslaught as a '20-year mistake' because he misdiagnosed a political blame-seeking crisis as a good-faith corporate issue, over-accepting responsibility. - [47:10](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2830s) Meta's super-voting corporate structure and early cash-generative nature have uniquely insulated Zuckerberg, allowing him to maintain a long-horizon strategy through intense reputational and economic cycles. - [51:53](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3113s) Zuckerberg advises founders to maintain maximum flexibility to pivot early on, noting that over-staffing projects too early dilutes individual agency and entrenches employee ego against necessary corporate shifts. - [53:57](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3237s) The massive investment in Reality Labs is a calculated long-term move to secure platform autonomy, eliminate third-party platform taxes, and transition the company into building 'awesome' and inspiring products. - [01:07:26](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4046s) Zuckerberg predicts a 10-to-15-year ideological battle with Apple over the fundamental architecture of the next generation of computing, with Meta championing an open ecosystem against Apple's integrated closed model. - [01:18:25](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4705s) Unlike other legendary tech founders who eventually step back, Zuckerberg at age 40 remains more deeply embedded in Meta than ever, viewing the company as his lifelong vehicle for product execution. - [01:23:48](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=5028s) Meta is legally, financially, organizationally, and culturally engineered from top to bottom to operate as an ultimate amplifier for Mark Zuckerberg's personal strengths and vision.

## Detailed walkthrough ### [00:00](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=0s) The New Era of Mark Zuckerberg

Ben Gilbert and David Rosenthal open the show by discussing how many interviews with Mark Zuckerberg they watched to prepare for this live event—estimating around 30 to 40. David observes that Zuckerberg’s interviews follow distinct three-to-four-year eras, with the "04 to 06 vintage" standing out as a favorite. Both hosts agree that they might have just witnessed the beginning of a brand-new era right on stage.

The iconic *Acquired* theme song "Who Got the Truth" by Mike Taylor transitions the episode into the formal kickoff of the fall 2024 season. Ben and David welcome listeners to this highly anticipated episode: a fast-tracked audio release of their interview with Mark Zuckerberg, recorded live in front of a massive crowd at the Chase Center.

- The live show featured surprise appearances from tech and media heavyweights Jensen Huang, Daniel Ek, and Emily Chang. - Musician Mike Taylor performed the podcast's theme song live on stage. - A full film production team is working behind the scenes to edit the remaining 90 minutes of content from the live show, slated for release in the following weeks.

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[01:48](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=108s) Gratitude and Big Numbers with JP Morgan Payments

The hosts take time to thank their season sponsors, highlighting StatSig—a product acceleration platform utilized by companies ranging from OpenAI to series A startups—and Crusoe, a climate-aligned AI cloud and data center operator. They reserve an immense expression of gratitude for their presenting partner, JP Morgan Payments, for securing the Chase Center and orchestrating the entire evening. David shares that the partnership has gone far beyond what either side originally imagined.

Ben explains that the payments division of JP Morgan is the largest and most trusted provider in the world. The sheer scale of their operation is staggering, moving vast sums of money globally every single day. For the first time, the hosts felt what it was like to operate as a large, world-class organization rather than a small, independent podcast team. They give a special shout-out to Dustin Sedwick, the CMO of JP Morgan Payments and a long-time listener of the show, who acted as the primary driving force behind the event.

- JP Morgan Payments moves $1 trillion a day, representing almost 25% of all US dollar payment flows in the global economy. - Pretty much every major company covered on *Acquired* works with JP Morgan Payments. - The hosts got to experience new payment technology live at the venue, including "pay by face" biometric payments.

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[04:52](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=292s) Jamie Dimon Passes the Mic

To officially introduce the interview, the hosts share a recorded message from Jamie Dimon, the Chairman and CEO of JP Morgan Chase. Dimon welcomes the audience to the Chase Center, calling it one of his favorite arenas, and expresses his enthusiasm for the year-long partnership between JP Morgan Payments and *Acquired*. Though he notes, "sorry I couldn't be there in person tonight," he wishes everyone an enjoyable show before handing the floor back over to Ben and David.

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[05:30](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=330s) Regrets, Startups, and Learning Through Suffering

Mark Zuckerberg joins the hosts on stage, immediately joking about a video he watched of Jensen Huang "correcting the record." Zuckerberg laughs that he might need to book a follow-up episode just to apologize in advance for everything he might say tonight, before quickly adding, "Naw, just kidding... I don't apologize anymore." David jumps in with a heavy-hitting opening question, asking if Zuckerberg would still have started Facebook if he knew then what he knows today.

Zuckerberg admits that Jensen Huang’s famous sentiment about the agonizing nature of starting a company is highly accurate. He recalls the early days of running a startup as full of extreme volatility, where it constantly felt like the company "could just die at any moment." While he has fond memories, he notes that it was not the most fun part of his life that he wishes to relive. He reflects that it is a positive trait of human nature that people naturally underestimate how painful an endeavor will be, because that blindness is exactly what allows them to go out and do good things.

The conversation shifts to Zuckerberg's current attire. He explains that he has started collaborating with fashion designer Mike Amir to design his own clothes, noting that if Meta is going to design eyewear, they need to get good at clothing design too. His shirt features the classical Greek saying *Pathei Mathos*, which translates to "learning through suffering." Zuckerberg explains that values aren't what a company writes down on a wall; they are lived behaviors that are only truly discovered when hitting your head against challenges and making hard tradeoffs.

- *Pathei Mathos* ("learning through suffering") is described by Zuckerberg as a small family saying, originally introduced to him by his sister. - Zuckerberg references an old Michael Jordan Nike commercial about failing over and over again as a mindset that deeply resonates with his own journey. - The hosts point out that by their count, Meta has faced more existential challenges in its first 20 years than almost any other meaningful company in history.

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[10:22](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=622s) The Decade-Long Quest for Smart Glasses

Holding up a pair of Meta's smart glasses, David asks for the origin story of the product. Zuckerberg explains that while Meta has built social experiences for 20 years, he has never viewed Meta as a social media or social app company. Instead, he defines it as a "social connection company" focused on building the future of human connection. Because the early team consisted of just a handful of college kids, they lacked the resources to define the smartphone platform when it emerged, forcing them to build within constraints set by others.

For Meta's next chapter, Zuckerberg wants to build ideal social experiences from first principles, shifting away from small screens that pull attention away from the real world. He envisions a future where smart glasses serve as the perfect AI assistant because they can see and hear what the user experiences. Furthermore, the ultimate state of these glasses will involve projecting high-fidelity holograms into the real world, providing a realistic physical sense of human presence. He notes that while people love to "intellectualize everything," humans are deeply physical beings, and blending holograms into the physical environment will represent both the ultimate digital social experience and the ultimate incarnation of AI.

- Meta has been working on this massive smart glasses initiative for 10 years. - The project requires building a completely novel holographic display stack, entirely independent of traditional TV or phone screen lineages. - Packing chips, microphones, speakers, cameras, eye-tracking sensors, batteries, and new RF protocols into a fashionable form factor remains an immense engineering challenge.

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[15:19](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=919s) From "Practice Projects" to Massive Companies

Zuckerberg pulls back the curtain on Meta's product strategy, explaining that they decided to partner with EssilorLuxottica (the makers of Ray-Ban) to see what technology they could fit into a standard form factor today. He candidly admits that when they started the Ray-Ban collaboration, he viewed it largely as a "practice project" meant to pave the way for their ultimate holographic glasses.

This admission prompts a humorous tangent about how Zuckerberg views early projects. He recalls arriving in Silicon Valley from Harvard with Dustin Moskovitz and a small crew, driving down Highway 101, and marveling at giant corporate headquarters like eBay and Yahoo. At the time, Facebook already had significant scale, yet Zuckerberg remembers thinking, "surely the project that we're working on now is not a company." He acknowledges he simply lacked the ambition to turn it into a massive corporation at the very beginning—it just happened naturally through hard work.

Bringing it back to the smart glasses, Ben points out a striking detail for the audience: Meta manufactured and shipped the initial version of these smart glasses before large language models (LLMs) or the ChatGPT moment entered public consciousness, meaning they were not originally built with the current wave of conversational AI in mind.

[17:22](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1042s) The AI Pivot and the High-Stakes Phone Call

A few years ago, Mark Zuckerberg would have predicted that AR holograms would hit the market before full-scale AI. However, the technological wave shifted, reversing that order. This change turned Meta's smart glasses into an ideal product because they already possessed the necessary physical hardware: cameras to see what the user sees, microphones, and speakers. Zuckerberg recalls calling Alex Himel, the head of the product group, to propose a major pivot: making Meta AI the primary feature of the glasses.

The transition happened with astonishing speed. Zuckerberg remembers coming in the next week and finding that the team had built a working prototype by Tuesday, confirming his belief that it would be a highly successful product. The host shares a "much more high-stakes version" of that same story told by Himel himself. Himel recalled driving on the highway with his kids on a Saturday when he received a sudden call from Zuckerberg asking: "Those glasses, could we put Meta AI in them running on device and like ship that soon so we can see if that's a good idea or not?" Zuckerberg laughs and concedes that the story tracks with his memory.

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[18:37](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1117s) Surviving Nine Waves of Imminent Doom

The discussion shifts to a core question: why has Meta worked so spectacularly well and remained one of the most valuable companies in the world through multiple technology waves? The host lists the nine specific eras where the public narrative insisted that Facebook and Meta were "screwed" and doomed to obsolescence: Friendster, Myspace, Twitter Gen 1, Instagram, Snapchat, WhatsApp, TikTok, Apple's App Tracking Transparency (ATT), and now ChatGPT. Every time a competitor like Snapchat discovered a new feature like Stories, the public assumed Meta was obsolete.

Zuckerberg attributes their resilience to a fundamental identity definition: "we're a technology company that is focused on human connection, not a specific type of app." Because they never viewed themselves strictly as a website or a social network, building hardware like smart glasses is simply a natural continuation of their mission to help people feel present with one another. Zuckerberg emphasizes that many companies define themselves too narrowly. Surviving these waves requires a deep technology foundation, noting that he was a systems engineering student in college before starting the company.

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[21:15](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1275s) What Makes a Real Technology Company

The conversation jumps back to the early days of social networking. While Friendster and Myspace seem quaint today, calculating social graphs and managing the scaling challenges of determining who knows whom and what to show them is an incredibly difficult computing problem. Zuckerberg explains that a product definition can easily be framed so broadly that the underlying technology becomes impossible to solve. The key is to have a smart product definition combined with superior technical competence.

When Zuckerberg first arrived in Silicon Valley, he noticed a striking contradiction: many businesses calling themselves "technology companies" were not actually set up that way. He observed companies where the CEO was non-technical, the board had no technical members, and only a single person on the management team—the head of engineering—possessed a technical background. Zuckerberg warns, "if that's your team, then you're not a technology company." At Meta, he intentionally balances the leadership team to ensure a large portion of product group managers climbed through technical pathways, embedding that competence into the company's decision-making and culture.

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[22:59](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1379s) The Turn-Based Strategy Game of Rapid Iteration

Meta's core strategy relies on continuous platform migration fueled by an extreme focus on rapid iteration. Zuckerberg defines Meta's ultimate strategy plainly: "if we can learn faster than every other company, we're going to win." By shipping products early, establishing a tight feedback loop, and digesting what people like, Meta can out-iterate its rivals by the time a product reaches its third, fourth, or fifth version.

The host brings up a piece of prep research where an industry insider described Zuckerberg as a master strategist who "plays the company as if it's a turn-based strategy game." Under this framework, Zuckerberg simply ensures he gets more turns than anyone else and learns more from each turn than the next player. Zuckerberg agrees with the speed and iteration elements but notes that great engineering and rapid shipping are distinct values. Meta represents the philosophical opposite of Apple. While Apple takes a long time to polish a product in secret before a major release, Meta's culture accepts the discomfort of shipping things early.

- **Apple's Approach:** Long development cycles, high polish, delayed releases tailored to their unique culture. - **Meta's Approach:** Shipping early to test reasonable hypotheses, gathering real-world feedback, and iterating continuously.

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[27:41](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1661s) Hypotheses, Brand Damage, and the Statue of David

The conversation touches on the risk of damaging a company's brand by shipping unpolished products. Zuckerberg clarifies that Meta does not ship things they believe are bad, but they do want to ship early enough to discover what the product will actually be used for. He points to their current AI initiatives as a prime example: it is clear AI will be transformative, but the initial, highly valuable use cases are still unknown. If a shipped product sucks, people won't use it and no data will be collected; therefore, the product must be a viable test of a hypothesis.

When asked if product creation is an act of *invention* (conceiving a statue of David and carving it into the world) or *discovery* (using tools to find the David already hidden inside the marble), Zuckerberg argues it must be both. Relying solely on customer discovery lacks the conviction needed to see hard things through, while relying solely on pure invention fails to achieve product-market fit.

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[30:01](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1801s) Learning from the Market and the Open Source Legacy

The host notes that while Meta has willed long-term hardware visions into existence through massive investments in Reality Labs, they have also shown a genius for pure discovery, such as adopting the Stories format after it proved successful elsewhere. Zuckerberg takes pride in this flexibility, stating that Meta is not embarrassed to learn from patterns established by others to build a better version. He observes that "there are more smart people outside of your company than inside your company," and ignoring market signals means missing critical consumer data.

The dialogue shifts to open source technology. The host highlights a thesis that Meta has been the largest beneficiary of open source technology in the modern world. Zuckerberg agrees, noting that Meta could not have been built without open source software, a reality that is true for virtually every tech company launched since the late 1990s. As the first massive company built on the LAMP stack, Meta used open source to develop and iterate rapidly. This choice was also historical positioning: because Meta came after Google—which kept its distributed computing infrastructure proprietary as a competitive advantage—Meta chose to open up its infrastructure rather than hide it.

[33:50](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2030s) The Strategic Play of Open Source and Llama

Reflecting on how tech giants navigate proprietary versus shared technology, the conversation turns to the philosophy behind open-sourcing massive projects. Building an open ecosystem allows a community to grow around the technology, effectively turning it into an industry standard. In the case of initiatives like Open Compute, standardizing the supply chain around specific designs dramatically cuts production costs, drives up quality, and creates a massive influx of supply, saving billions of dollars. This pragmatic, rather than dogmatic, approach explains the balance between open and closed-source strategies.

The exact same playbook applies to the development of artificial intelligence models like Llama. The overriding goal is ensuring unhindered access to a leading AI model. Having been through volatile shifts on other platforms, the imperative now is to own core technology platforms—whether that means AR glasses, mixed reality, or AI—rather than being at the mercy of competitors. Software ecosystems naturally improve when more people use them, aligning long-term business survival with open-source collaboration.

* The Open Compute project standardized supply chains, lowering production costs and saving the company billions of dollars. * The ultimate strategic goal for AI and mixed reality is ensuring autonomy so the company does not have to "fully depend on anyone else". * The speaker highlights the historical frustration of building on external mobile platforms where owners could simply say, "nah, you can't build that."

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[35:55](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2155s) The Great Mobile Detour: HTML5 and the IPO Drawdown

The interview takes a sudden, sharp detour when the host eagerly interrupts to ask about a historical pivot point: the eve of the 2012 IPO. At the time, Facebook's mobile strategy relied heavily on HTML5. Going public with a \$100 billion market cap, the company subsequently suffered a massive 50% draw down over the next three months. The host questions the speaker's mindset during this tumultuous drop and asks how that specific technical trauma informs their current strategic approach.

The speaker explains that the company's legacy was rooted in web development, where engineers were accustomed to writing code once and deploying it continuously—a perfect match for their high-velocity iteration style. When the smartphone app model exploded, the engineering team recoiled at the prospect of building separate apps for fragmented platforms (iOS, Android, BlackBerry, Windows Mobile) and waiting weeks for App Store approvals. Their solution was to build a native shell around a web platform, betting that what they lost in native responsiveness, they would make up for in sheer engineering velocity. It turned out to be a massive miscalculation; native integration was absolutely critical for mobile interactions to feel right.

* Facebook went public in 2012 at a **$100 billion market cap** before experiencing a **50% draw down** within three months. * The original mobile strategy utilized an HTML5 web platform wrapped in a native shell to target Android, iPhone, BlackBerry, and Windows Mobile simultaneously. * The bet was that engineering velocity and focusing on one single code platform would outweigh the downsides of a non-native user experience.

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[38:22](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2302s) Pausing Features for a Painful Ground-Up Rewrite

Realizing the HTML5 strategy was failing coincided with an era of explosive mobile growth where the company had virtually zero mobile revenue. On desktop computers, ads lived comfortably in a dedicated right-hand column, but on mobile, that real estate vanished. The product team had to invent the "feed ad" from scratch, which faced steep resistance from both advertisers attached to legacy formats and users protective of their organic feeds. To fix the underlying platform, the speaker made the high-stakes decision to freeze all new feature development across the entire company for about a year and a half to execute a total native rewrite.

History is littered with tech companies like Netscape that attempted ground-up rewrites while simultaneously trying to add features, causing projects to loop indefinitely and fail. To eliminate this risk, the company accepted the pain of flatlining feature growth while their desktop-based, monetizable web traffic shrank in real-time. Strategically, the speaker notes that knowing what to do when you are winning is incredibly difficult, but "when you're losing, it's usually pretty clear what you have to do." Despite intense pressure from new public investors who hated the prospect of zero monetization for 18 months, the company bore the pain, stabilized execution, and ultimately emerged in phenomenal shape.

* The company completely paused new feature development for roughly a year and a half to rewrite the mobile apps from scratch. * Desktop monetization relied on a side column, whereas mobile required inventing the "feed ad," a format that didn't exist yet. * The speaker notes that jumping from one "local Hill" of success to a new one is a profound cultural challenge for any tech company.

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[42:08](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2528s) The 20-Year Political Miscalculation

Shifting from technical failures to broader public criticism, the discussion enters deeply self-critical territory. The speaker reflects on how dramatically the political environment shifted around 2016. Prior to the U.S. presidential election, public and media sentiment toward the company was almost entirely positive, save for the early IPO drop. Afterward, the company faced non-stop negative sentiment. While the speaker felt competent managing a tech company focused on human connection, they lacked sophistication regarding the political landscape and fundamentally misdiagnosed the incoming crisis.

The core regret stems from treating a highly charged political onslaught as a traditional corporate crisis. The speaker's natural instinct was to take full ownership and responsibility for societal problems being blamed on social media. However, while good-faith actors wanted genuine fixes, political actors were simply looking for a scapegoat. By internalizing every accusation, the company inadvertently invited critics to hit them harder. The speaker labels the 2012 IPO stumble a mere year-and-a-half mistake, but characterizes this ongoing political miscalculation as a "20-year mistake" that will require another decade to fully work through.

> "I think we accepted other people's view of some of the things that, you know, they were asserting that we were doing wrong or were responsible for that I don't actually think we were."

* Pre-2016 corporate sentiment was overwhelmingly positive, but it permanently inverted into negative territory post-election. * The speaker admits to misdiagnosing political blame-seeking as a good-faith corporate crisis, leading them to over-accept responsibility. * Resolving the reputational fallout of this era is projected to be a **20-year cycle** starting from 2016, requiring roughly another decade to normalize the brand.

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[47:10](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2830s) Academic Reassurance and the Power of Super-Voting Shares

When asked if the company has finally established a clear framework for what issues they are genuinely responsible for versus what is out of their control, the speaker points to years of accumulated academic research. A key lesson learned was the necessity of funding and supporting independent, third-party academic studies well in advance. When an existential corporate crisis hits, a tech company has zero public credibility defending itself; however, respected external academics looking objectively at data can effectively demonstrate that social media is often uncorrelated with the specific societal harms being alleged.

The conversation pivots to how the speaker is uniquely insulated to weather a 20-year reputational cycle—an advantage the hosts attribute to the company's "super-voting shares." Starting a company at 19 years old provides a unique long-term perspective, akin to "Buffet duration." The speaker notes that a non-founder CEO without this specific corporate structure simply could not maintain such a long-horizon strategy. The structural insulation dates back to a defining trauma in 2006, when Yahoo offered to buy the company for \$1 billion. The entire management team and board wanted to sell and actively tried to fire the speaker. Because communication of the long-term vision had been poor, the entire management team quit within the year after the sale was rejected, permanently cementing the need for absolute founder control.

* Long-term strategic decisions are heavily enabled by a corporate structure featuring super-voting shares. * In 2006, Yahoo offered to buy the company for **$1 billion**, triggering an internal revolt where the board tried to fire the founder. * Because the acquisition was blocked, the entire management team quit over the course of the following year.

[49:51](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2991s) Learning Through Suffering and the Yahoo Offer

Reflecting on the early days of Facebook, the speaker admits that while they recognized the project was awesome and highly important to the world, they lacked the sophistication to think in terms of long-term financial plans. When Yahoo came forward with a massive acquisition offer, it felt to many employees like "all their startup dreams come true," making it entirely understandable why people thought they should take it. Because the speaker had not yet articulated a clear, long-term case explaining that they had no intention of selling the company, simply stating, "hey I think we should turn this down because um we're going to do this" was not particularly confidence-inspiring.

This period became a profound lesson in "learning through suffering." Wanting to build the company rather than sell it, the speaker realized they needed to establish a governance structure that would make it harder for them to get fired from their own company. Fortunately, because the business became highly cash-generative very early on, it stood as a real going concern. They didn't need to "cut off your arm and sell it to someone" just to keep building. The interviewer notes a fundamental misunderstanding about Facebook: while many romanticize the idea of starting a company for the glamorous aspects of being a startup, the speaker seemingly "hated being a startup" and wanted to transition into a stable, going concern as fast as possible. The speaker agrees, noting, "I think we're having a lot more fun now."

- Yahoo offered to buy Facebook during its early phase, which employees viewed as a dream come true. - The company's early cash-generative nature saved it from needing dilutive or desperate capital to survive. - The experience forced the creation of a protective corporate governance structure to keep the founder in control.

[51:53](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3113s) Advice to Founders and the Power of Lean Teams

When asked for advice for founders who romanticize the idea of starting a company, the speaker warns against diving rigidly into a single idea. They emphasize the necessity of maintaining flexibility to "be nimble and pivot around until you can like figure out what works." Part of the reason the speaker didn't initially view Facebook as a massive company was because, during school, they had built around 12 different things purely because they wanted them to exist. They would build one, have fun, upkeep it if people used it, and then move on to the next idea.

Maintaining this early flexibility is significantly easier when "you can just have meetings in your own head about what direction you want to go in." Once a company hires a massive headcount, shifting directions becomes burdened by employee ego and pride, as people invest themselves heavily in a specific path and must be explicitly convinced to change. The speaker notes that this is exactly why they have recently pushed to get Meta back to being "whatever the leanest version of a large company is." While lacking resources is tough, having more people working on a project than its current stage warrants is highly problematic; it strips away individual agency, makes the work less fun, and ultimately fails to attract the best talent.

- The speaker built roughly 12 different projects while in school before Facebook took off. - Small teams prevent the entrenchment of ego, making corporate pivots much easier to execute. - Over-staffing early-stage projects dilutes individual agency and drives away top-tier talent.

[53:57](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3237s) Reality Labs, Platform Taxes, and the Pursuit of "Awesome"

The interviewer playfully challenges the speaker, pointing out that Meta is spending a "gajillion dollars" on Reality Labs—a technical term, they joke—despite it not making much money yet. The speaker defends the scale of the investment as a strategic choice for the next 10 to 20 years. They are entirely certain that augmented reality, holographic presence, and smart glasses will become ubiquitous products. "If all we get is all the people in the world who already have glasses upgrading to glasses that have ai in them, then like this is already going to be one of the most successful products in the history of the world."

Beyond the product vision, the investment is a calculated move to control their own destiny and escape the financial taxes imposed by rival platforms. The speaker shares that Meta estimated they might be "twice as profitable if we own the platform," due to current restrictions that dictate how they can run their ad business or what products they are allowed to ship. While the speaker has "learned a thing or two since the Yahoo days" and can now articulate a financial case to investors, their true motivation remains the product experience. They recall a value shift inspired by early Oculus team members who distinguished between building "good" things and "awesome" things. While social media is "good" and incredibly useful for over 3 billion daily users, "awesome is different—awesome is uplifting and inspiring... and just like leads you to just be way more optimistic about the future."

- Meta features a massive user base, with roughly 3.3 billion people using its family of apps on a daily basis. - Internal estimates suggest Meta could potentially be twice as profitable if it owned the underlying operating platform rather than operating under third-party constraints. - The long-term AR goal focuses initially on upgrading the global population of existing glasses-wearers with AI-enabled eyewear.

[57:47](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3467s) Personal Inspirations and the Evolution of Mark Zuckerberg

Looking ahead to the next 15 years, the speaker wants the company to stand for things that are awesome in addition to things that are good, pointing to Reality Labs, core AI research, and new apps as primary vehicles for this mission. They attribute this shift in perspective partly to where they are in life, noting that they now prioritize doing inspiring things with inspiring people. This philosophy extends directly into their personal life, where they tackle complex science problems alongside their wife, Priscilla, collaborate with world-class fashion designers, and work with talented artists like Daniel Arsham to revive the Roman tradition of sculpting loved ones.

The speaker also shares a colorful glimpse into another side project: a cattle ranch in Kauai where they are attempting to raise the highest quality beef in the world. They joke about a standout steer named Chun, describing him as "the man" who keeps busting through steel enclosures whenever he spots a female cow. "I feel like that's the kind of bull that you want to make the highest quality beef in the world," the speaker laughs, summarizing their current era as simply wanting to do high-quality, awesome things with awesome people.

- The shift toward long-term, legacy projects crystallized during the reflection time provided by the COVID-19 pandemic. - Personal projects include a collaboration with artist Daniel Arsham to create a sculpture of the speaker's wife. - The speaker runs a cattle ranch in Kauai aimed at producing world-class beef.

[01:00:32](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3632s) Navigating the Pandemic, Recessions, and the "Meta" Rebrand

When asked if this focus on inspiration was a gradual shift or an hidden trait that finally surfaced, the speaker points to the operational shifts during COVID-19 as a major catalyst. As an introverted person, the temporary move to remote work granted them much-needed time for reflection. This period coincided with intense political turbulence in the country, placing Meta directly in the center of public scrutiny. During this era of reflection, long-standing bets like Reality Labs (started in 2014) and FAIR (Fundamental AI Research, started around 2012–2013) reached a critical maturity juncture. The speaker decided to double down rather than treat them as hobbies, fully anticipating that short-term investors would hate the massive capital expenditures. What they didn't anticipate was a simultaneous economic recession. The company experienced a brutal market correction, which the speaker dryly notes makes "losing half of your market cap... quaint compared to losing 80% of your market cap."

As the conversation shifts to a lightning round, the interviewer asks if the speaker would still choose the name "Meta" if they were rebranding the company today. The speaker enthusiastically affirms the choice, explaining that with four—and potentially five, if Threads continues to scale—apps reaching over a billion users, it no longer made sense for the parent company to carry the name of just one app. Addressing corporate critics, the speaker reveals that many advisers pushed for the rebrand as a way to run away from the political baggage of the Facebook brand. The speaker adamantly rejected that cowardice, stating, "we don't run away from that... we run towards something, we don't run away from things." The name Meta was intentionally chosen to lean directly into the future they are actively trying to build.

- FAIR (Fundamental AI Research) was initiated around 2012 or 2013, while the Reality Labs push began in earnest in 2014. - Meta's ecosystem boasts four different apps that have crossed the 1-billion-user threshold, with Threads positioned as a potential fifth. - The speaker rejected advice to use the rebrand as an escape from political controversies, insisting the name change be a proactive embrace of the metaverse.

[01:06:03](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3963s) Strategy, Brand, and the "Mark-Shaped Hole"

The hosts pitch a strategic perspective on Meta's core competency, suggesting that rather than defining himself or the company by a specific future, Mark Zuckerberg maximizes degrees of freedom and maneuverability. They argue that Meta's brand should avoid "pigeonholing" itself, acting instead as a versatile spaceship ready to maneuver wherever the world goes. Mark understands the point but firmly rejects that style of leadership. He explains that Meta operates by aligning tightly around a specific vision and mission and running hard toward it, rather than hedging bets.

Mark emphasizes that Meta is a company that "puts a flag down" regarding its direction. He jokes that if a wall is placed in front of them, they won't simply steer around it to maintain flexibility. Instead, they will drive straight through it, leaving a "mark-shaped hole in the wall."

- Meta's leadership style is defined by committing heavily to a chosen vision rather than preserving passive maneuverability. - Mark prefers a decisive, high-conviction approach to product discovery and execution over strategic neutrality.

[01:07:26](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4046s) Competition and the Ideological Battle with Apple

The conversation transitions from Mark's past personal annual challenges to his current fast-paced lifestyle, which the hosts joke has evolved into "weekly challenges" involving designing t-shirts, martial arts, and making sculptures. Mark admits he has transitioned into more extreme sports and fighting simply because he is highly competitive. When asked who his primary competition is, he broadens the scope from social media platforms to a massive architectural rivalry with Apple. Mark states that Apple is a far bigger competitor than most people realize, predicting a 10-to-15-year "ideological battle" over the fundamental architecture of the next generation of computing platforms.

This rivalry centers on the historical tension between closed, integrated ecosystems and open ecosystems. Mark points out that while the iPhone won the current mobile generation and created a strong recency bias toward closed models, open models have triumphed in past eras, such as Windows in the PC era. Mark's explicit goal for the next 15 years is to build the next generation of open platforms—spanning open-source AI like Llama to smart glasses—and ensure that the open ecosystem wins this time around. He believes this will foster a significantly more vibrant tech industry where a developer starting out in a dorm room does not have to "ask for permission" to build something awesome.

- Mark views Apple as Meta's primary, deeply value-driven competitor for the next 10 to 15 years. - Every major computing generation (PC, mobile) has featured a duel between open and closed architectures. - Meta’s core objective is to ensure open platforms win the next computing era, reducing gatekeeping for developers.

[01:11:08](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4268s) Advice for Founders and the Taylor Swift Lesson

When asked what modern advice he has for the founders and builders in the audience that differs from standard "pattern matching" a 2004-era Mark Zuckerberg, Mark keeps it simple: "just do something that you care about." He acknowledges that there are many different valid ways to build a successful company, noting that Meta’s rapid learning strategy worked well for his team but isn't the only blueprint.

To illustrate the importance of authenticity, Mark shares a charming family anecdote about taking his daughter to a Taylor Swift concert. Afterward, his daughter expressed that she wanted to be just like Taylor Swift when she grew up. Mark told her gently that that specific path wasn't available to her. After thinking it over, his daughter replied, "all right, when I grow up I want people to want to be like August Chan Zuckerberg." Mark enthusiastically celebrated this mindset, concluding that the ultimate goal for any founder or individual is to learn from others but ultimately "do your own thing."

- Mark advises against blindly copying historical tech founder blueprints, as different strategies work for different teams. - August Chan Zuckerberg is the name of Mark's daughter featured in the concert anecdote.

[01:13:01](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4381s) A Custom Gift and Live Show Reflections

As the live interview wraps up, the hosts present Mark with a custom, "one of one" t-shirt tailored specifically to "size Zuck" so it can never be replicated. Mark jokes about his style evolution, noting that he used to only wear one specific type of gray shirt but has since moved on to more varied designs. The custom shirt features two sets of GPS coordinates on the back to commemorate his journey: the first marks Kirkland House at Harvard, where he wrote the first line of code for Facebook, and the second marks the Chase Center, where the live event is being recorded.

After Mark leaves the stage, hosts Ben and David reflect on the sheer scale of the evening, calling the experience of interviewing Mark live in front of a 6,000-person arena crowd "absolutely crazy" and the wildest experience of their lives. They note that despite Mark doing various podcast and traditional press interviews throughout the year, this event felt completely different because of the raw energy of a live arena performance with no safety net, no breaks, and no retakes.

- The custom shirt features coordinates for Kirkland House (Harvard) and the Chase Center (San Francisco). - Meta executives and board members traveled to attend the live recording, treating it as a milestone event.

[01:14:40](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4480s) Sponsor Spotlights: Stat Sig and Crusoe

The hosts take a moment to thank their sponsors, tying their products directly back to the themes of the interview. They first highlight Stat Sig, contrasting Mark's famous "move fast and break things" mantra with the reality that Facebook rarely actually breaks. They explain that Meta spent hundreds of thousands of engineering hours building internal deployment tools that allow any engineer or intern to ship features safely using real-time metrics and guardrails. Stat Sig, founded by an ex-Meta team, productizes this exact capability for the broader market, offering feature flags, product analytics, and experimentation tools to companies like OpenAI, Microsoft, Notion, Anthropic, and Figma.

Next, they spotlight Crusoe, a climate-aligned cloud platform tailored for intense AI workloads. Crusoe addresses the biggest physical bottleneck to modern AI progress—energy—by building and operating GPU data centers powered by stranded, low-cost clean energy that would otherwise be wasted or emitted as greenhouse gases. The hosts, who are also investors in Crusoe, note that the company has gigawatts of power in its development pipeline, delivering massive computational infrastructure with zero or negative emissions to some of the largest enterprises and startups in the world.

- Stat Sig was founded by an ex-Meta engineering team to democratize data-driven, rapid product iteration. - Key Stat Sig clients include OpenAI, Microsoft, Notion, Anthropic, and Figma. - Crusoe provides GPU cloud infrastructure by capturing stranded energy, utilizing a pipeline reaching gigawatt scales.

[01:18:25](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4705s) Analyzing Mark's Psyche and the "20-Year Mistake"

In their final analytical breakdown of the night, Ben and David discuss how surprisingly open Mark was to exploring history, despite normally being "manically focused on the future." In pre-show conversations, Mark had explicitly challenged them to focus on what lies ahead because he viewed them as a history podcast, yet on stage, he fully embraced the retrospective format. This willingness allowed the hosts to draw powerful historical through-lines to Meta's current state, highlighting a distinct pattern of long-term execution.

The hosts conclude that Mark is still completely locked into his role, noting that unlike other legendary founders who eventually step back into chairman or board roles, Mark appears more embedded in Meta than ever at age 40. They mention getting chills when Mark candidly discussed his "20-year mistake" regarding political calculations, but getting even more chills when he casually added that "20 years actually isn't that long." This casual remark heavily implies that Mark views Meta as the lifelong vehicle through which he intends to build things, and that he is nowhere near the twilight of his career.

- The hosts note that among his contemporary founders, only Nvidia's Jensen Huang shares Mark's level of prolonged, intense active leadership. - Mark's perspective on time reveals he views his first 20 years at the company as merely an initial chapter.

[01:22:17](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4937s) Reality Labs as Zuckerberg's "Blue Origin"

The conversation wraps around to how Mark Zuckerberg operates within his own company, framing Reality Labs as his personal passion project—akin to Jeff Bezos's Blue Origin, but nested entirely within Meta. The hosts point out that while other big tech founders historically step down to a board role or exit the company to pursue massive, capital-intensive side ventures, Mark is executing his "huge swings under one corporate umbrella". This leads to an intriguing contemplation of what the unintended or intended outcomes of co-mingling such massive, diverse bets will look like 20 to 50 years from now. For Mark, Meta serves as the ultimate vehicle to execute "things that he thinks are awesome products" and to maximize his control over his universe. The speakers share a lighthearted moment comparing his playbook to a Starcraft pro player operating a turn-based strategy game where the goal is to "get more turns, learn more on each turn," highlighting his deep desire for high degrees of freedom.

- Reality Labs is compared directly to Jeff Bezos's Blue Origin, but unique because it exists inside Meta rather than as a separate entity. - The timeline for reflecting on the success or failure of this co-mingling strategy is estimated to be 20 to 50 years into the future. - Zuckerberg's philosophy is framed as maximizing freedom to avoid being "boxed in."

[01:23:48](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=5028s) The Misunderstood Core of Meta

The ultimate, overwhelming takeaway from the entire experience ties back to a go-to research interview question Ben asks sources: "What is the one thing that is most misunderstood about this company?" For years, sources at Meta have universally answered with one word: "Mark." The hosts admit they never fully grasped the depth of that answer until tonight. They realize that Meta is architected from top to bottom—legally, financially, organizationally, and culturally—to act as an ultimate amplifier for Zuckerberg's immense strengths. While the public readily accepts that Apple was an extension of Steve Jobs, Microsoft of Bill Gates, or Nvidia of Jensen Huang, the public narrative has largely failed to realize that Meta operates exactly the same way. In a moment of punny humor, they joke that Meta is still very much a "Mark Zuckerberg production."

- A core superpower of Meta is that it is structurally engineered to "take the gain on Mark's output and turn it up, you know, 10,000x." - The public narrative openly attributes the identity of Apple to Jobs and Nvidia to Jensen, but often misses this exact same dynamic between Meta and Zuckerberg.

[01:25:31](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=5131s) Housekeeping, Thank Yous, and Credits

The episode transitions into its final wrap-up, with the hosts thanking the listeners and inviting them to engage across various community platforms. They plug the Acquired Slack channel, their email list, their merchandise store, and their second show, AC2, which features insightful conversations with earlier-stage founders and CEOs. Reflecting on the massive scale of the event, they jokingly express relief and exhaustion, saying, "God, if we ever do something like that again," referring to filling venues like the Chase Center.

The hosts conclude with a string of specific credits and gratitude. They extend a massive thank you to Mark Zuckerberg, the entire Meta executive team, and Hermes for dressing them for the night, which they call their "favorite Easter egg of the night." Finally, they acknowledge Jamie Dimon, JPMorgan Chase, and JPMorgan Payments for the partnership that made the entire dream event possible, before signing off with their signature outro music.

- Community platforms mentioned for listener engagement: acquired.fm/slack and the email list at acquired.fm/email. - Side project highlighted: AC2, their secondary show focusing on early-stage company interviews. - Key sponsors and partners thanked: Jamie Dimon, JPMorgan Chase, JPMorgan Payments, and Hermes for providing the hosts' attire. - The episode ends with a promise to return in a couple of weeks with a full show.

## Notable quotes > [04:52](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=292s) sorry I couldn't be there in person tonight — Jamie Dimon

> [05:30](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=330s) Naw, just kidding... I don't apologize anymore. — Mark Zuckerberg

> [05:30](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=330s) learning through suffering — Mark Zuckerberg

> [15:19](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=919s) surely the project that we're working on now is not a company — Mark Zuckerberg

> [17:22](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1042s) Those glasses, could we put Meta AI in them running on device and like ship that soon so we can see if that's a good idea or not? — Mark Zuckerberg

> [18:37](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1117s) we're a technology company that is focused on human connection, not a specific type of app — Mark Zuckerberg

> [21:15](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1275s) if that's your team, then you're not a technology company — Mark Zuckerberg

> [22:59](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1379s) if we can learn faster than every other company, we're going to win — Mark Zuckerberg

> [30:01](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1801s) there are more smart people outside of your company than inside your company — Mark Zuckerberg

> [33:50](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2030s) nah, you can't build that — Mark Zuckerberg

> [38:22](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2302s) when you're losing, it's usually pretty clear what you have to do — Mark Zuckerberg

> [42:08](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2528s) I think we accepted other people's view of some of the things that, you know, they were asserting that we were doing wrong or were responsible for that I don't actually think we were. — Mark Zuckerberg

> [49:51](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2991s) hey I think we should turn this down because um we're going to do this — Mark Zuckerberg

> [53:57](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3237s) If all we get is all the people in the world who already have glasses upgrading to glasses that have ai in them, then like this is already going to be one of the most successful products in the history of the world. — Mark Zuckerberg

> [01:00:32](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3632s) we don't run away from that... we run towards something, we don't run away from things — Mark Zuckerberg

> [01:11:08](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4268s) all right, when I grow up I want people to want to be like August Chan Zuckerberg — August Chan Zuckerberg

## Mentioned Mark Zuckerberg, Ben Gilbert, David Rosenthal, Acquired, YouTube, Chase Center, Meta, Daniel Ek, Emily Chang, Jensen Huang, Mike Taylor, Mike Amiri, Jeff Sainlar, StatSig, OpenAI, Crusoe, JP Morgan Payments, Dustin Sedwick, Jamie Dimon, JP Morgan Chase, Facebook, Michael Jordan, Nike, EssilorLuxottica, Ray-Ban, Dustin Moskovitz, eBay, Yahoo, ChatGPT, Alex Himel, Friendster, Myspace, Twitter, Instagram, Snapchat, WhatsApp, TikTok, Apple, Open Compute, Llama, Netscape, Warren Buffett, Oculus, Priscilla Chan, Daniel Arsham, Chun, FAIR, Threads, August Chan Zuckerberg, Taylor Swift, Kirkland House, Harvard, Microsoft, Notion, Anthropic, Figma, Jeff Bezos, Blue Origin, Starcraft, Steve Jobs, Bill Gates, Hermes

[Source](https://www.youtube.com/watch?v=QciJ9ubeLQk)

中文简报

扎克伯格瞄准苹果架构以确保Meta独立性 Meta在结构设计上旨在放大马克·扎克伯格的远期战略押注,使公司做好准备,与苹果的封闭计算模式展开一场长达十五年的意识形态竞争。 在这次深入的现场访谈中,马克·扎克伯格探讨了他不断演进的领导哲学,强调转向高度笃定的开源项目,以及打造像Reality Labs和Meta AI这样真正“令人惊叹”而不仅是“优秀”的产品。他回顾了历史上的严峻挑战,包括2012年痛苦的HTML5移动端重写,以及2016年之后在政治误判方面的深刻“20年错误”。扎克伯格解释了Meta的公司结构与快速迭代策略如何使公司在竞争浪潮中生存下来,并将苹果定位为他们在计算平台底层架构长期竞争中的主要意识形态对手。 马克·扎克伯格认为Meta不是一家社交媒体应用公司,而是一家从根本上专注于人际连接的技术公司。 (18:37) Meta智能眼镜项目的终极战略目标是创造融入物理环境的高保真全息图,以作为终极数字社交与AI体验。 (10:22) 扎克伯格将真正的技术公司定义为领导层内部具备深厚的技术能力,这与聘用非技术CEO和董事会的公司形成对比。 (21:15) Meta的核心运营策略依赖于持续、快速的迭代和尽早交付产品以建立紧密的反馈闭环,这与苹果高度打磨、注重保密的方法在理念上截然相反。 (22:59) 开源Open Compute项目和Llama等关键技术是一项务实的战略举措,旨在促进行业供应链标准化、降低成本,并确保Meta在竞争对手平台面前的自主性。 (33:50)

Reading summary

In an interview with Acquired, Meta CEO Mark Zuckerberg framed the company as a human connection technology business sustained by high-velocity iteration, absolute founder governance, and high-stakes platform bets. Zuckerberg argued that Meta's long-term survival relies on escaping third-party platform gatekeepers and winning an ideological battle against Apple's closed ecosystem. Governance and Founder Control as Strategic Insulation (47:10) Zuckerberg attributes Meta's ability to navigate existential market pivots to protective governance structures established early in its history. During the company's early years, Yahoo made a $1 billion acquisition offer that Meta's board and executive management strongly favored accepting; when Zuckerberg rejected the sale, the internal rift led to the entire management team departing over the following year. This conflict convinced Zuckerberg to implement super-voting shares to prevent outside forces from removing him as founder. According to Zuckerberg and podcast hosts Ben Gilbert and David Rosenthal, this corporate structure allows Meta to operate with exceptionally long planning horizons, akin to Warren Buffett's investment duration. The hosts observed that Meta is structurally organized from top to bottom to amplify Zuckerberg's personal decision-making, enabling the company to undertake massive, capital-intensive shifts without succumbing to short-term shareholder pressures. Rapid Iteration and Native Product Overhauls (22:59) Zuckerberg described Meta's primary competitive advantage as a turn-based strategy of learning faster than rivals by releasing functional hypotheses early and iterating through subsequent product generations. This approach directly contrasts with Apple's model of long internal development cycles and secret product polishing. However, Zuckerberg acknowledged that prioritising engineering velocity over product fit has previously caused near-fatal errors, notably when Meta relied on an HTML5 web wrapper for mobile devices ahead of its 2012 initial public offering, contributing to a 50% market capitalization drawdown within three months. To correct the mobile misstep, Zuckerberg froze all new feature development across Meta for roughly eighteen months to execute a complete native software rewrite and invent the feed-based mobile ad format. Meta applied that same rapid deployment capability to hardware when generative AI emerged: within days of Zuckerberg directing product head Alex Himel to pivot the Ray-Ban smart glasses into an AI platform, the engineering team produced a working device prototype, repositioning a decade-long hardware project into an AI product. The Ideological Conflict Over Next-Generation Computing (53:57) Zuckerberg defended the substantial capital allocations to Reality Labs as a vital strategic move to secure operational autonomy. Because Meta currently operates atop platforms governed by competitors like Apple, it faces restrictive policies such as App Tracking Transparency and financial platform fees; internal estimates shared by Zuckerberg suggest Meta could potentially be twice as profitable if it owned the underlying operating platform. Zuckerberg predicted that the next 10 to 15 years will feature a defining ideological conflict between closed computing ecosystems, typified by Apple, and open architectures championed by Meta. Mirroring Meta's Open Compute initiative—which standardized hardware supply chains and saved billions of dollars—Meta is releasing open-source AI models like Llama to foster an open ecosystem, aiming to ensure developers in future computing paradigms do not have to seek permission from closed platform owners. Political Miscalculations and the Twenty-Year Reputational Horizon (42:08) Reflecting on public scrutiny following the 2016 U.S. presidential election, Zuckerberg admitted to what he characterized as a '20-year mistake' in political judgment. He explained that Meta misdiagnosed political attacks as standard corporate communications crises, wrongly internalizing blame for societal challenges that political actors were exploiting for scapegoating. Zuckerberg estimated that normalizing the company's brand and establishing public boundaries will require another decade, supported by independent academic studies designed to objectively evaluate social media's societal effects. When external advisers recommended rebranding to Meta in 2021 to escape controversies linked to Facebook, Zuckerberg rejected the advice as evasive, choosing instead to anchor the corporate identity to the metaverse. Although subsequent macroeconomic headwinds and massive capital expenditures on AI research and Reality Labs coincided with Meta's valuation falling by as much as 80%, Zuckerberg maintained that the firm commits fully to its long-term direction rather than hedging its bets. While Zuckerberg projects strong confidence that open-source AI and holographic smart glasses will define the next computing era, Meta's strategy remains exposed to the enormous capital costs required to build custom hardware stacks from scratch. Whether Meta's open ecosystem can dismantle Apple's platform advantage while preserving advertising profit margins remains an open question across the coming decade.

精炼阅读摘要

在《Acquired》播客的现场访谈中,Meta 创始人 Mark Zuckerberg 阐述了将公司从单一社交应用重构为底层人际连接与计算平台的战略逻辑,强调唯有通过高频迭代、掌控硬件和开放技术标准,才能摆脱外部生态制约并维持长期的自主生存能力。 以高频迭代和技术深度对抗生存危机 (22:59) Zuckerberg 将 Meta 定义为一家专注于“人际连接”的技术公司,而非局限于特定形态的社交应用,这成为其跨越九次被舆论唱衰的“灭顶之灾”(涵盖 Friendster、Myspace、Snapchat、TikTok 直至 ChatGPT 浪潮)的核心原因。他指出,许多所谓的技术公司由于管理层和董事会缺乏工程技术背景,在面对底层规模计算时难以真正解决问题。Meta 坚持让大量具备技术背景的人员担任产品管理职务,以维持深厚的技术底座。 在产品方法论上,Meta 采取了与 Apple 追求高度保密和极致打磨截然相反的路径。Zuckerberg 将企业运营比作回合制战略游戏,其核心策略是通过提早发布可行假设、建立紧密的用户反馈循环,在产品推进到第三至第五个版本时跑赢竞争对手。他认为产品研发兼具“发现”与“发明”属性,团队不仅要勇于从外部市场验证成功的模式中学习(例如借鉴 Stories 格式),还要在不明确 AI 或硬件具体杀手级场景时尽早推向市场,依靠全行业最快的学习速度锁定长期胜局。 硬件、AI开源与摆脱平台税之争 (53:57) Meta 历经十年研发智能眼镜及全息显示技术,这一布局在近期因大语言模型爆发而加速演化为搭载 Meta AI 的硬件设备。Zuckerberg 指出,早期 Facebook 团队因规模尚小未能参与定义智能手机平台,导致长期受制于第三方生态的审核规则、商业限制与高昂平台税;Meta 内部测算表明,如果能够自主掌控底层操作系统平台,公司的盈利能力可能达到现有的两倍。因此,巨额投入 Reality Labs 并推动以 Llama 为代表的开源 AI 模型,其根本目的在于争取战略自主权,不再依赖外部平台的恩赐。 对于未来十到十五年,Zuckerberg 预判 Meta 将与 Apple 展开一场关于下一代计算平台架构的“意识形态之争”。他回顾计算历史指出,PC 时代代表开放模型的 Windows 取得了胜利,而移动时代则被封闭整合的 iPhone 主导;Meta 试图通过开源 AI 模型、联合 EssilorLuxottica 推进智能眼镜等开放生态,打破封闭生态对早期开发者的限制,重现开放平台主导计算产业的格局。 从技术创伤到政治误判的痛苦学习 (42:08) Zuckerberg 援引古希腊箴言“在痛苦中学习”(Pathei Mathos)反思其创业生涯中的数次核心危机。在 2012 年 IPO 前夕,公司押注基于 HTML5 的跨平台原生外壳策略出现严重失误,导致上市后三个月内股价暴跌 50% 且移动端营收几乎为零。为摆脱困境,Meta 顶住公开市场投资人的巨大压力,彻底冻结全公司新功能开发约一年半,坚决重写底层原生应用并从零发明“信息流广告”,最终完成关键的移动端转型。 相比历时约一年半的技术转型,Zuckerberg 将 2016 年美国大选后 Meta 面临的声誉危机定性为代价更为深远的“20年错误”,并预计还需要大约十年时间才能完全修复品牌形象。他坦言自己当时严重误判了政治环境,错误地将具有政治动机的指责当作善意的传统企业危机来应对,盲目为大量社会问题承担责任,反而招致更猛烈的攻击。这一教训促使公司加大对独立第三方学术研究的资助以客观呈现事实,同时凸显出 2006 年 Yahoo 10 亿美元收购未遂事件后建立的双重股权结构至关重要——该治理架构确保创始人拥有绝对控制权,使 Meta 能够在承受短期剧烈舆论与资本压力的同时执行长期战略。 创始人绝对控制下的组织意志放大 (83:48) 播客主持人与内部信源强调,Meta 在法律、财务、组织和文化各层面均被设计为将 Zuckerberg 个人能力放大“上万倍”的系统。与其他科技巨头创始人将长期远景押注剥离到母公司之外(如 Jeff Bezos 独立创立 Blue Origin)不同,Zuckerberg 选择将巨额资本支出的 Reality Labs 和 FAIR 等前沿实验全部置于 Meta 单一上市公司架构之下。尽管面临 2022 年前后伴随宏观衰退出现的市值回撤,他仍坚决拒绝将公司更名“Meta”作为避开 Facebook 负面政治资产的手段,而是作为全力拥抱未来愿景的宣言。 此外,Zuckerberg 在组织管理上极力推行“精简大公司”理念,警惕在早期项目配置过多人力。他根据早期连续开发十余个项目的经验指出,小型团队能避免员工因个人虚荣心而固化特定技术路线,从而保留快速转向的灵活性;过度堆砌人手不仅会剥夺个体的自主性,还会降低工作乐趣并劝退顶尖人才。面对战略选择,Meta 倾向于选定方向后全力突击,而非为了保留退路而保持中立。 访谈表明,40 岁的 Zuckerberg 依然将 Meta 视为其施展长期抱负的核心载体,并展现出超越常规职业经理人生命周期的掌控力。然而,将 Reality Labs 和前沿 AI 这类投资周期长达数十年、极度消耗资本的业务完全融合在单一公开上市商业实体中,其长期风险和治理复杂性仍是一个留待未来数十年检验的未解难题。

Detailed notes — zh

## Background 本期内容由商业播客《Acquired》于 2024 年 9 月 18 日在 YouTube 平台发布。节目记录了 2024 年 9 月 10 日在旧金山大通中心(Chase Center)面对 6,000 名现场观众进行的一场前所未有的现场深度对话,由主持人 Ben Gilbert 和 David Rosenthal 对谈 Meta 创始人兼 CEO 马克·扎克伯格(Mark Zuckerberg),深入探讨了 Meta 的公司战略、早期创业史,以及对 AI、VR、AR 和下一代计算平台的未来愿景。 ## TL;DR 扎克伯格在对谈中系统性地阐明了 Meta 的底层战略与产品哲学:Meta 从未将自己局限于某款社交应用,而是一家专注于人类连接的硬核技术公司。他回顾了 2006 年拒绝雅虎收购促成超级投票权确立、2012 年移动端原生重写危机,以及 2016 年政治风暴中误把公关当危机处理的长达二十年教训。扎克伯格详细解析了与苹果截然相反的“宁可尴尬尽早发布、比对手学得更快”的回合制博弈思维,以及重注押注智能眼镜、Reality Labs 与开源模型 Llama 的逻辑——即摆脱移动操作系统的封闭桎梏,在未来 10 到 15 年打赢下一代开放计算平台的意识形态之战。主持人最后深度复盘指出,整座 Meta 帝国在法律、财务与文化架构上,本质上都是为了数万倍放大扎克伯格个人产品直觉与意志的“超级放大器”。 ## Atmosphere & style 整场对话在 6,000 人体育馆的宏大声浪与近距离围炉长谈的奇妙张力中展开,摒弃了传统公关采访的刻板防线与提词器,呈现出罕见的直接与坦率。扎克伯格的状态从早年的拘谨严肃蜕变为如今从容自洽却又极度好胜,既有谈及牛场种牛、古罗马雕塑与泰勒·斯威夫特演唱会时的幽默松弛,也有谈到“在墙上撞出扎克伯格形状窟窿”与迎战苹果时的锋芒毕露。主持人的专业历史铺垫与扎克伯格对至暗时刻的反思层层递进,既有对商业史刀光剑影的冷静复盘,又充满了一位奋战二十年却依然“身在局中”的创始人身上散发出的浓烈荷尔蒙与澎湃野心。 ## Bulletin - [10:56](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=656s) 扎克伯格重申 Meta 从非单纯的社交 App 公司,而是专注于“人类连接”的底层技术企业;团队正全力推进全息 AR 与内置 Meta AI 的智能眼镜,视其为打破手机屏幕限制、实现逼真临场感与具身 AI 助手的下一代核心计算载体。 - [23:28](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1408s) 在产品迭代哲学上,Meta 采取与苹果精雕细琢完全相反的策略,宁可在产品接近让人尴尬的未成熟阶段果断发布,通过更高频的试错和真实反馈形成认知复利,在“回合制博弈”中比任何竞争对手学得更快。 - [32:20](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1940s) Meta 对分布式基建(Open Compute)与大语言模型(Llama)的开源并非出于技术理想主义,而是基于重塑供应链标准、摊薄硬件成本,并打破移动生态对平台规则锁定的精妙商业计算。 - [42:04](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2524s) 扎克伯格反思 2016 年大选后的政治危机为长达 20 年的严重误判,指出盲目承揽责任只会沦为各方政治转嫁的替罪羊,如今公司转向以第三方前瞻性学术研究硬核构建事实护城河并积极回击。 ## Key takeaways - [05:30](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=330s) 黄仁勋所言的创业初期极度痛苦是真实的,每天都笼罩在破产恐慌中;人类天生对未来痛苦的钝感与低估,正是让人有勇气开启创业冒险的关键特质。 - [07:24](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=444s) 秉持“苦难出真知”(Pathei Mathos)哲学,真正的企业价值观绝非墙上的口号,而是在经历生存危机与艰难权衡取舍中沉淀出的实际践行行为。 - [12:09](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=729s) 智能眼镜是理想社交体验与 AI 助手的终极形态,它能够与用户共享视听上下文,并通过全息投影突破物理屏幕限制,带来真正的人类临场感(Presence)。 - [21:05](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1265s) Meta 能持续跨越 9 次唱衰周期的组织根基,在于坚持让技术出身的主管领导各大业务线并占据董事会与管理层核心,避免沦为业务与技术脱节的伪科技公司。 - [23:28](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1408s) 将公司运营视作“回合制策略游戏”,其核心不是单点孤注一掷,而是确保在单位时间内争取到更多行动回合,以极速迭代和发布验证实现认知复利碾压。 - [25:40](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1540s) 不排斥吸收行业内已被验证的优秀创意(如 Stories),只要能结合深厚工程底座做出更出色的体验;过分追求外界一片赞誉才推产品,会错失海量学习时间。 - [32:20](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1940s) 开源战略是 Meta 建立技术主权的重要手段:通过开放计算项目打破定制硬件溢价,通过 Llama 构建开发者生态,避免未来再次受制于第三方平台。 - [35:55](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2155s) 2012 年移动转型危机中,团队在 HTML5 溃败后顶住市值腰斩压力,果断冻结全公司新功能长达近一年推翻重写原生应用,避开了边修边改的软件重构陷阱。 - [42:04](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2524s) 2016 年政治风暴暴露了将政治博弈当作常规企业危机的认知缺陷,公司正花 10 年走出负面周期,并学会通过支持严谨的学术实证研究来划定事实边界。 - [48:14](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2894s) 2006 年拒绝 Yahoo 10 亿美元收购导致高管几乎全员离职的危机,促使扎克伯格痛定思痛搭建起双重股权超级投票权结构,确保公司免受外部资本短期利益裹挟。 - [53:57](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3237s) 巨资布局 Reality Labs 的商业底气在于:只需将全球存量眼镜佩戴者升级为智能眼镜就能创造惊人回报,同时摆脱苹果等移动巨头严苛的“平台税”与政策钳制。 - [56:04](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3364s) Meta 迈向未来 15 年的全新阶段,目标是从日常实用便利的“做好用(Good)”,跃迁至激发灵感与对未来乐观向往的“令人惊叹(Awesome)”。 - [01:03:45](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3825s) 品牌更名为 Meta 的核心逻辑是“向着想要创造的未来奔跑”,而非从 Cambridge Analytica 等危机中逃离;公司习惯直接立起战旗并全力冲刺突破阻碍。 - [01:09:26](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4166s) 未来 10 到 15 年科技界将围绕下一代计算平台展开路线决战:纠正因 iPhone 胜出导致的近因偏差,证明无需许可准入的开放计算生态同样能在新硬件与 AI 时代占据主导。 - [01:23:48](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=5028s) Meta 的终极超能力在于其法律、财务和组织文化被高度整合成为了扎克伯格个人战略直觉、迭代速度与极强好胜心的“超级功率放大器”,40 岁的他依然全神深耕业务一线。 ## Detailed walkthrough ### [00:00](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=0s) 序幕拉开:追寻三十场的扎克伯格与全新时代的开启 在旧金山 Chase Center 现场 6000 名观众入场前,主持人 Ben Gilbert 与 David Rosenthal 进行着开场前的即兴对话。Ben 好奇地询问 David,为了今晚这场对话究竟翻看了多少期扎克伯格的历史专访。David 坦言自己看过了三四十场,其中 2004 至 2006 年 Facebook 创立初期的早期访谈最令人着迷。但他敏锐地指出,扎克伯格身上几乎每隔三到四年就是一个全新的时代,每个阶段都与此前截然不同;而今晚,所有人即将在舞台上见证扎克伯格又一个崭新时代的展开。 随着 Acquired 标志性的开场曲——Mike Taylor 现场演唱的《Who Got the Truth》响起,Acquired 2024 年秋季正式拉开序幕。Ben 与 David 兴奋地向听众宣布,今晚的嘉宾正是这个时代最具标志性的创始人兼 CEO——马克·扎克伯格(Mark Zuckerberg)。这场对谈信息量巨大、火花四溅,以至于他们打破常规,不等全场两小时半的完整录像剪辑完毕,就决定第一时间先把扎克伯格的核心访谈单独释出。除了扎克伯格,当晚的现场阵容还包括英伟达(NVIDIA)CEO 黄仁勋(Jensen Huang)、Spotify 创始人兼 CEO 丹尼尔·埃克(Daniel Ek)、彭博知名主播艾米莉·张(Emily Chang)等豪华阵容,后台正进行着如同好莱坞电影级别的超规格后期制作。 ### [01:48](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=108s) 合作伙伴致谢与 Jamie Dimon 视频致辞 在正题展开之前,两位主持人着重致谢了促成今晚 Chase Center 盛会的合作伙伴与赞助商。本季的主赞助商是摩根大通支付(JP Morgan Payments),作为全球最大的支付服务商,该机构每天处理高达 1 万亿美元的资金流,占据全球经济中近 25% 的美元支付网络流转。两位主持人特别提到,今年与 JP Morgan Payments 团队的深度合作远超想象,甚至现场还展示了全新的“刷脸支付”(pay-by-face)生物识别技术。两位主持人向摩根大通支付的首席营销官(CMO)Dustin Sedgwick 及其团队致以崇高敬意,坦言若非他们的推动,这场在 NBA 勇士队主场举办的播客现场秀绝无可能实现。此外,本期播客还得到了产品加速与 A/B 测试平台 Statsig,以及致力于气候友好型 AI 云数据中心建设的 Crusoe 的鼎力支持。 紧接着,摩根大通集团董事长兼首席执行官杰米·戴蒙(Jamie Dimon)通过特别视频向 Chase Center 的全场观众致意。戴蒙欢迎大家来到他最喜爱的体育馆之一,盛赞 Acquired 讲述伟大商业故事的精神,并正式将舞台交还给主持人 Ben 与 David。 ### [05:30](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=330s) 调侃“不再道歉”与重审创业初期的极度痛苦 马克·扎克伯格在全场雷鸣般的掌声中登台。刚一坐定,扎克伯格便开玩笑地提起刚刚在现场放映的黄仁勋“勘误视频”:黄仁勋在视频里幽默地澄清事实,扎克伯格笑称自己看完后心想,今晚之后可能得专门再约一场,用来为自己今晚即将说出的各种惊人之语公开道歉——不过他随即耸肩补充道:“开玩笑的,我现在已经不道歉了(I don't apologize anymore)。”两位主持人立刻会心一笑,附和道:“我们注意到了。” David 抛出了一个锋利的开场问题:“如果你预先知道今天所经历的一切,当年还会选择创办 Facebook 吗?”扎克伯格收起笑容,认真思考后回答道,他深有共鸣黄仁勋此前表达过的真实观点:创业的过程极其痛苦,尤其是创业初期,每天都笼罩在“公司随时可能死掉”的恐慌之中。那种不可预测的巨大波动(volatility)让创业者心力交瘁,几乎整天都在焦虑与震荡中挣扎。扎克伯格坦言,尽管多年后回望会有很多美好的怀旧回忆,但那段经历绝对不是整个旅程中最有趣的部分,也绝不是他愿意倒流时光重新经历一遍的人生阶段。他感慨道,如果一个人在最开始就知道一路上会面临多少痛苦,绝大多数人根本不会迈出第一步;但人类天性中恰好有一种奇妙的钝感——“总是会低估未来的痛苦程度”,而正是这种低估,才让人类有勇气去开创并做成伟大的事情。 ### [07:24](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=444s) Amiri 定制 T 恤与“苦难出真知”的价值观哲学 话题随之转移到扎克伯格引人注目的全新着装风格上。扎克伯格当晚穿着一件版型独特的定制深色 T 恤,胸前印有一句古希腊语名言。他解释道,由于 Meta 正在深入研发智能眼镜以及各种人们日常佩戴的硬件产品,他认为自己必须真正搞懂时尚与服装设计,因此开始与顶尖设计师合作亲自参与服饰设计。他当晚穿的这件衣服由知名时尚设计师迈克·阿米里(Mike Amiri)设计,这属于扎克伯格正在创作的“古典名言系列”服饰之一。 这件衣服上印着的希腊语是出自古希腊悲剧作家埃斯库罗斯(Aeschylus)的名句——**“Pathei Mathos”(πάθει μάθος,意为“苦难出真知” / Learning through suffering)**。扎克伯格笑称这是他与妹妹之间的一个“家族私房黑话”。当被问及这句话对他究竟意味着什么时,扎克伯格解释道: > “你只有在不断碰壁、面对一次又一次重大挑战的过程中,才能真正弄清楚什么对你最重要、你的真正定位是什么。这不仅是创业之旅的本质,也是创造事物的迷人之处。” ```mermaid flowchart TD accTitle: 苦难出真知与价值观形成逻辑 accDescr: 展示扎克伯格对于企业价值观如何从书面口号演变为实际行为的逻辑图 subgraph Ideals ["宣称的理念"] A["墙上的书面价值观<br/>(Words on the wall)"] end subgraph Crucible ["现实的熔炉"] B["反复碰壁与生存危机<br/>(Hitting your head)"] C["痛苦折衷与取舍<br/>(Hard trade-offs)"] end subgraph Reality ["真实的行为"] D["通过苦难学习<br/>(Pathei Mathos)"] E["沉淀出真正活出来的行为<br/>(Lived behaviors)"] end A --> B B --> C C --> D D --> E ``` 扎克伯格进一步阐述,这与黄仁勋经常强调的理念不谋而合。很多公司在创立时,创始人都会在墙上写下一堆美好的“公司价值观”,但真正的价值观绝非墙上的标语,而是日常真实的“践行行为”(lived behaviors)。唯有在面对严峻挑战、被迫在极其艰难的选择之间做权衡取舍(trade-offs)时,一个团队才能真正看清自己到底在乎什么。正如耐克经典的迈克尔·乔丹广告那样——一次又一次的失败与痛苦,才是最终通往成功与定义自我的基石。 ### [10:17](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=617s) 超越社交媒体:Meta 智能眼镜的初心 Ben 提到,在过去二十年间,Meta(Facebook)所面临的“生死存亡级挑战”(existential challenges)可能比商业史上任何一家头部科技巨头都要多。扎克伯格苦笑着承认这是一个“可疑的殊荣”。接着,Ben 拿出了自己整个夏天都在佩戴的 Ray-Ban Meta 智能眼镜,称赞自己发自内心地喜爱这款硬件,并询问扎克伯格这款产品究竟是如何诞生演变而来的。 扎克伯格对此表示感谢,并由衷地分享了 Meta 硬件战略背后的根本逻辑。他指出,Meta 打造人与人连接的社交体验已经整整 20 年。在这段历史长河中,这种体验最早依托于桌面网页形态,随后全面转向智能手机上的移动 App。然而,扎克伯格郑重强调,他在内心深处**“从未将 Meta 视为一家单纯的社交媒体公司,也从未认为这是一家社交 App 公司”**,而是有着完全不同的底层定位。 ### [10:56](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=656s) 重新定义人类连接:摆脱手机小屏幕的束缚 Mark Zuckerberg 阐述了 Meta 的核心使命——构建“人类连接的未来”(the future of human connection)。他指出,随着时间推移,人与人之间的连接绝不应仅仅局限于一部小小的智能手机屏幕上。回顾 Facebook 创立之初,团队只是一帮年轻小伙子,既没有足够的资源,也没有充裕的时间去从底层定义下一代计算平台。更何况 Facebook 崛起的时间节点,恰好与初代智能手机及各大移动操作系统的起步期重叠,这导致他们未能参与定义智能手机这一平台。 对于 Meta 的下一个篇章,扎克伯格强调,他希望能够基于第一性原理去打造“最理想的社交体验”,而不是被迫在别人建立的平台上受制于人、只能开发被允许构建的功能。他反思道,理想的社交体验绝不是让人随时随地低着头看手机屏幕、将注意力从周围真实的人和事上抽离,而应当是一种自然的载体——智能眼镜。 ```mermaid flowchart TD accTitle: 从移动手机到智能眼镜的演进 accDescr: 对比手机的小屏幕局限与智能眼镜带来的全息临场感和AI体验 subgraph Phone["传统智能手机模式"] A["小屏幕限制"] --> B["注意力被剥离"] B --> C["被限制在他人定义的平台上"] end subgraph Glasses["第一性原理:智能眼镜模式"] D["视听共享 (AI 助理)"] --> E["全息投影 (Holograms)"] E --> F["物理级逼真临场感 (Presence)"] end Phone -.->|"向理想社交体验演进"| Glasses ``` ### [12:09](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=729s) 极致的数字社交体验与 AI 终极形态 在扎克伯格描绘的未来愿景中,智能眼镜将扮演双重核心角色:一方面,眼镜能“看见你所见,听见你所听”,因为具备完整的环境上下文,它将成为近乎完美的个人 AI 助手;另一方面,眼镜能够将全息影像(Holograms)投射到真实世界中,彻底打破手机屏幕对社交互动的物理限制。他提到在不久的将来,人们进行一场深度对谈时,某一位对话者即便不在现场,也能以全息投影的形态逼真出现,戴上眼镜即可感受到极其真实的“物理临场感”(presence)。 人类本质上是高度依赖物理感官的生物,大家常常倾向于将事物高度理性化(intellectualize),但人类体验的根基始终是极其具象的物理感知。扎克伯格坚信,通过智能眼镜与全息投影,将虚拟交互无缝融入真实世界,将成为“终极数字社交体验”,同时也是“AI 的终极化身”——在同一个空间里,有肉身在场的人,有以全息形式出现的人,还有具身化(embodied)的 AI 伙伴共同交流。 ### [13:57](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=837s) 攻克技术登月工程与 Ray-Ban 合作的意外收获 为了实现这一庞大目标,Meta 已经秘密研发了整整十年。扎克伯格拆解了这背后的巨大技术鸿沟:传统的手机、电视和电脑显示屏产业链经过数十年优化已经非常成熟,但全息显示栈(holographic display stack)完全是全新的物种,需要从零发明,并必须实现极致微型化,塞进轻巧时尚的眼镜框中。此外,眼镜内还必须集成自研芯片、麦克风阵列、扬声器、摄像头、眼球追踪(Eye Tracking)、全天候续航的电池组以及全新的射频通信协议(RF protocols)。 扎克伯格透露,他们打造的全息 AR 眼镜第一代原型机已经非常接近对外亮相。与此同时,Meta 采取了双轨并行的策略:既然全栈 AR 眼镜面临巨大的工程挑战,且眼镜必须兼顾美观与日常佩戴体验,团队便决定与拥有 Ray-Ban 等经典品牌的眼镜巨头 EssilorLuxottica 合作,探索利用现有成熟形态能做出多极致、多实用的产品。 有趣的是,扎克伯格坦言,最初他只是把 Ray-Ban 合作项目当成通往终极 AR 眼镜的“练手项目”(practice project)。主持人在一旁打趣道,当年你做 Facebook 时也以为只是个练手项目。扎克伯格笑着顺着这个话茬回忆起当年的往事:在哈佛创立 Facebook 后,他和 Dustin Moskovitz 等几个人来到硅谷,仅仅是因为所有厉害的初创公司都在这里。当时他们开车行驶在 101 高速公路上,路过 eBay、Yahoo 的招牌,心里想的是“哇,太牛了,未来某一天我们也许也能做一家这样的公司”,而压根没把手头已经初具规模的 Facebook 当成一家真正的正规公司来做。 - **全息 AR 眼镜的硬件攻坚维度**:全新全息显示栈、微型化、自研芯片、麦克风与扬声器、摄像头、眼球追踪、全天续航电池、全新射频协议。 - **合作伙伴**:全球眼镜巨头 EssilorLuxottica(旗下拥有 Ray-Ban 等品牌)。 - **早期轶事**:扎克伯格当年刚到硅谷下飞机沿 101 高速行进时,将 Facebook 视为一个练习项目,从未预想过它会成长为比肩 eBay、Yahoo 的商业帝国。 ### [17:03](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1023s) 周六的一通突击电话:让 Meta AI 成为智能眼镜的核心灵魂 随着大语言模型(LLM)的突飞猛进,原本的技术路径发生了戏剧性的戏剧反转。主持人特别提醒听众,Meta 早期出货第一代智能眼镜时,公众视野里根本还没有出现 ChatGPT 时刻,那款设备最初也并未作为“AI 设备”来定义和销售。扎克伯格坦承,如果放在几年前预测,他绝对会押注“AR 全息投影成熟”会发生在“全面级 AI 爆发”之前,但现实却恰恰相反。 意识到大模型的威力后,扎克伯格敏锐地察觉到眼镜本身就是天然的 AI 载体:它有摄像头捕捉现实画面,有麦克风和扬声器进行语音交互。他随即给负责该硬件产品线的负责人 Alex Himel 打电话,提出必须全面转向,把 Meta AI 做成眼镜的核心卖点。主持人在此补充了一个更具现场感的细节:据 Alex Himel 回忆,当时他正在周六开车载着孩子们行驶在高速公路上,突然接到了扎克伯格的电话,语气严肃而急迫:“我们能不能把 Meta AI 做进这些眼镜里,直接在设备端跑起来,并且尽快出货,看看这到底是不是个好主意?”扎克伯格笑着回应:“确实差不多是这样,这很符合我的风格。”几天后的周二,团队就拿出了原型机,事实证明这个转向极其成功。 ### [18:37](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1117s) 穿越九次唱衰周期的常胜基因 对谈深入到核心主题:为什么 Meta 在经历了多轮技术浪潮后,依然能保持全球市值最高企业之一的地位并屡次胜出?主持人一口气列举了九次历史上全网公认“Facebook / Meta 彻底完蛋了”的唱衰节点: | 挑战节点 / 威胁来源 | 当时外界普遍舆论与叙事 | |:--- |:--- | | **Myspace** | 早期社交网络霸主,初生牛犊被认为难以撼动老牌霸主地位 | | **Twitter (第一代)** | 实时短信息流崛起,外界断言 Facebook 的好友图谱关系链已过时 | | **Instagram** | 移动端原生拍照社交爆发,Facebook 桌面端产品被唱衰失去年轻人 | | **Snapchat** | 阅后即焚与 Stories 模式风靡,舆论一致认为 Facebook 变得陈旧落后 | | **WhatsApp** | 跨国移动即时通讯爆发,侵蚀 Facebook 私信与基础连接功能 | | **TikTok** | 算法推荐与短视频横扫全球,被认为从根本上颠覆了社交图谱分发机制 | | **Apple ATT (应用追踪透明度)** | 苹果隐私政策重拳出击,广告归因与底层商业变现模式遭到重创 | | **ChatGPT / 生成式 AI 浪潮** | 新一代人机交互范式突袭,外界怀疑老牌互联网巨头将沦为落后遗迹 | 面对主持人关于“Meta 持续赢下去的底层 DNA 究竟是什么”的提问,扎克伯格给出了他的根本洞察:“我们是一家专注于人类连接的技术公司,而不是某一种特定形态的应用公司(a technology company that is focused on human connection, not a specific type of app)。” 他阐述道,Meta 从未将自己仅仅局限于一个“网站”或一款“社交网络”。在他眼中,如今研发能够实现人与人逼真临场感的智能眼镜,与当年开发 Facebook 应用完全是一脉相承的自然延续。许多公司往往把自己局限在某一个狭窄的产品定义里,而 Meta 能够持续横跨技术浪潮,依靠的是极具深度和实力的工程与技术底座。扎克伯格总结道,这很大程度上植根于他本人的工程师思维背景——在创业之前,他在学校里主修和沉浸最多的正是系统工程类的课程。 ### [21:05](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1265s) 重新定义科技公司:从社交图谱算力瓶颈到工程师主导的组织架构 当谈及早期 Friendster 和 MySpace 在处理庞大社交图谱时所面临的算力扩展危机——例如计算“你是否认识某人”以及“该不该向其展示主页”的复杂图遍历计算时,马克·扎克伯格(Mark Zuckerberg)指出,这本质上是产品定义与技术能力交织的难题。如果将产品定义得过于宽泛抽象,其背后的技术挑战在工程上几乎会变得“无法解决”。因此,优秀的产品策略必须具备清晰精炼的产品定义,同时在技术实现上保持超越所有竞争对手的极高水准。扎克伯格坦言,这是 Meta 始终对自己严苛要求并据此搭建组织架构的基石。 回忆起初到硅谷时的震撼,扎克伯格发现许多自称“科技公司”的企业实际上名不副实:CEO 完全不懂技术,董事会里没有一个具备技术背景的成员,整个管理层里往往只有一位孤零零的技术负责人(Head of Engineering)。扎克伯格直言不讳:“如果你的团队构成是这个样子,那你根本不算一家科技公司。”为了避免重蹈覆辙,Meta 在核心管理团队的配置上极为谨慎,管理层中绝大部分是领导各大业务线、且从公司内部不同技术晋升通道一步步走上来的技术型领导者。他强调,虽然不能极端到让全员都是工程师,必须保留其他专业视角的平衡,但如果一家公司中工程师的比例不够高,它就失去了科技公司的内核。这种技术基因渗透在董事会、决策权重以及公司日常文化的方方面面,也是 Meta 能够不断跨越计算平台周期、持续交付新底层技术与顶层体验的底气所在。 ```mermaid flowchart TD accTitle: 真正科技公司与传统伪科技公司的组织架构对比 accDescr: 对比了缺乏技术基因的伪科技公司与扎克伯格主导的工程师核心型组织在决策与迭代上的根本差异 subgraph PseudoTech["传统'科技公司'结构"] A1["非技术背景 CEO / 董事会"] --> B1["单一技术负责人 (孤立无援)"] B1 --> C1["业务与技术脱节,迭代迟缓"] end subgraph MetaStructure["Meta 组织架构哲学"] A2["技术基因主导的管理层 & 董事会"] --> B2["各大业务线技术通道主管"] B2 --> C2["掌握底层技术,平台迁移能力强"] end ``` --- ### [23:28](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1408s) “回合制策略游戏”与 Meta 的核心飞轮:比竞争对手学得更快 对于外界将扎克伯格奉为“战略大师”的赞誉,扎克伯格幽默地自嘲,称自己常常轻视了那些后来被证明最重要的东西。Acquired 主持人分享了此前访谈英伟达 CEO 黄仁勋(Jensen Huang)时的一个比喻:“苹果总会从树上掉下来,你只需要把手伸得足够近,做好接住它的准备。”调研中甚至有内部人士将扎克伯格比作一位顶级战略玩家——他把运营公司视作一场“回合制策略游戏”(Turn-based strategy game),其核心打法不是靠一次绝妙的单点押注,而是确保自己在单位时间内获得比任何对手都多的“行动回合”,并且在每一个回合中比对手汲取更多认知。 扎克伯格对这种解读表示认可。他阐明,自己眼中的产品战略从来不是某种僵化不变的宏大蓝图,而是“如何以最快速度迭代和学习”。扎克伯格总结的 Meta 战略公式极为纯粹:“如果我们的学习速度能够超越世界上任何一家公司,我们就会赢。” - **早发布、快交付**:抢在市场前面甚至在极早期版本就推向用户,尽早启动真实反馈闭环。 - **高频飞轮迭代**:Meta 的产品甚至不存在所谓清晰的“V3、V4、V5”离散大版本划分,因为团队几乎处于持续交付、高频发布的状态。 - **认知复利**:每一次发布都是一次探针,迅速捕捉用户的真实偏好,借由更高频的实验累积成碾压性的产品优势。 --- ### [25:40](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1540s) 与苹果相反的哲学:宁可带着轻微的尴尬尽早发布,也不等完美 扎克伯格厘清了工程能力与迭代速度之间的细微差别:两者并不冲突,但拥有优秀工程能力的团队往往倾向于把产品打磨到极致。然而,过分追求精致会扼杀探索速度,将尚未完全抛光的产品推向市场,需要一种非常独特的团队性格与心理承受力。 在产品哲学上,扎克伯格直言 Meta 在很多方面走向了苹果的完全对立面: - **苹果模式**:耗费极其漫长的时间去雕琢、抛光每一个细节,直到接近完美才正式公开发布。这种模式与苹果的硬件文化高度契合,也取得了巨大的商业成功。 - **Meta 模式**:内部经常在讨论中把产品推向“几乎快让自己感到尴尬的边缘”(Almost at the line of being embarrassed about what you put out)便果断上线。 扎克伯格进一步解释,这并不意味着发布毫无价值的烂产品,因为过于粗糙的残次品根本无法有效测试任何合理的产品假设。但他极度警惕“为了追求赞誉而拖延发布”的倾向:“如果你非要等到外界全是一片赞誉时才发布,你就错失了海量本可以用来学习并融入下一版本的宝贵时间。” 针对主持人关于“频繁发布未成熟产品是否会磨损品牌资产”的追问,扎克伯格指出,必须在早期就敢于探寻真实需求。他以当前的 AI 浪潮为例:所有人都坚信 AI 将彻底改变世界,但究竟哪些初始用例才具有最高的真实价值,目前行业并无定论。如果为了所谓的品牌无暇而闭门造车,就永远收集不到真实数据;唯有带着假设及早下场,即便很多假设最终被证伪,也能在实战中摸清用户真正共鸣的方向。 --- ### [28:50](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1730s) 产品构建的本质:发明还是发现?以 Stories 与 Reality Labs 为例 主持人抛出了一个经典哲学命题:创造一款产品究竟是一种“发明”(Invention),还是一种“发现”(Discovery)?就像米开朗基罗所说,大卫雕像本就藏在大理石内部,工匠只是用工具将其发现并凿出;还是说创造者脑海中先有了大卫的蓝图,然后强行将其塑造成型? 扎克伯格回答,这两者绝不是非此即彼的单选题,而是相辅相成的统一体: - **价值观与愿景(发明端)**:创始人必须持有某种坚定的价值观,或者深信某种产品形态本就应当存在于世界上,并以此为导向进行构建。如果缺乏这种自上而下的信念,面对真正的技术严冬与外界质疑时,团队根本没有足够的定力坚持到底。 - **市场共鸣与反馈(发现端)**:产品必须不断与用户的实际反应发生碰撞,找到契合点。如果一味沉浸在个人构想中,不尊重用户真实的使用行为,产品就永远无法实现产品与市场匹配(PMF)。 主持人以此对比了 Meta 历史上的两个典型案例: 1. **Stories 格式的演进(纯粹的发现)**:市场上其他竞争者验证了阅后即焚与 Stories 这一交互形态的爆发力,全行业迅速意识到这就是新一代社交互动的底层范式,Meta 随即将其高效集成并放大。 2. **Reality Labs 的重注(纯粹的发明与意志)**:Meta 在元宇宙、XR 硬件及空间计算领域累计投入了超过 500 亿美元,这种规模的探索不再是顺应现成市场需求的“发现”,更像是扎克伯格试图以一己之力和强大意志,将未来的计算平台从无到有“强行撬进”现实世界。 ### [30:36](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1836s) 创新的本质:从发明 News Feed 到向外界汲取灵感 谈及产品创新的哲学,马克·扎克伯格(Mark Zuckerberg)指出,Meta 的成功既源于自主开创,也源于毫不避讳地向市场学习。2006 年 Facebook 推出第一版 News Feed(信息流)时,整个社交网络形态彻底被改写——在此之前,所有社交产品本质上都只是静态的个人主页(Profiles)。Facebook 敏锐地意识到用户渴望直接获取动态更新,于是通过算法排序帮助大家高效筛选海量信息;时至今日,几乎任何社交产品都无法脱离“信息流”这一形态。这种模式已成为行业的基础范式。 然而,扎克伯格强调,没有任何一家公司能够凭空发明一切。对于行业内其他人率先探索出优秀模式的产品,Meta 从不以此为耻,反而引以为豪地去吸收、借鉴,并在此基础上打造出体验更好的版本。“公司外部的聪明人永远比公司内部要多,”扎克伯格坦言,如果一家企业不能敏锐捕捉市场动态,就会错失用户与社区反馈给你的宝贵信号。倾听市场并不断迭代,恰恰是 Meta 作为一家底层技术公司的核心特征。 - **News Feed 的诞生(2006 年)**:开创了社交网络从“主动浏览个人主页”到“算法动态信息流”的范式转变。 - **产品哲学**:不排斥学习市场上已被验证的优秀创意,关键在于吸收后能否做出更出色的产品体验。 --- ### [32:20](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1940s) 开源的战略实用主义:从 Open Compute 到 Llama 主持人 Ben Gilbert 提出一个论断:Meta 或许是现代世界中开源技术最大的受益者。扎克伯格对此表示认同,并指出自 1990 年代末以来创立的科技巨头,几乎没有哪一家能脱离开源底座生存;Facebook 早期正是基于经典的 LAMP 架构(Linux、Apache、MySQL、PHP)建立起来的,这种技术栈带来了无与伦比的开发与迭代速度。但他进一步阐述了 Meta 独特的开源逻辑:这并非出于理想主义的技术狂热(Zealot),而是一种基于行业竞争位置的精妙商业计算。 在分布式计算领域,Meta 成立晚于 Google。Google 最早建立了专有的分布式计算架构并将其作为核心壁垒;Meta 随后也自研了类似系统,但很快意识到将该技术闭源并不能带来针对 Google 的竞争优势。于是 Meta 选择将其彻底开源,创立了 Open Compute Project(开放计算项目)。这一举措不仅将 Meta 的设计标准变成了全行业云服务基础设施的通用标准,更彻底重塑了供应链体系,大幅摊薄了硬件采购与制造成本,为 Meta 节约了数十亿美元。如今面对人工智能领域的 Llama,Meta 采取了完全一致的底层逻辑:AI 模型并非孤立的单一软件,而是依托开发者的生态系统;开源既能推动整个生态围绕 Meta 的架构进化,又避免了 Meta 在未来核心技术平台中再次受制于人。 ```mermaid flowchart TD accTitle: Meta 的开源战略驱动机制 accDescr: 展示 Meta 在分布式计算和 AI 基础设施上选择开源的逻辑闭环 subgraph Problem["竞争劣势与外部瓶颈"] A["落后于先行者(如 Google)<br/>技术闭源无法形成相对壁垒"] B["移动操作系统巨头封锁<br/>受制于第三方平台规则"] end subgraph Action["开源策略介入"] C["开源基础设施与核心模型<br/>(Open Compute / Llama)"] end subgraph Outcome["生态共赢与战略自主"] D["供应链与工业标准建立<br/>软硬件成本断崖式下降"] E["开发者围绕生态共建<br/>摆脱平台锁定,掌握技术主权"] end Problem --> Action Action --> Outcome ``` - **开源基础设施标准**:Open Compute Project 将硬件规范开放,让各大硬件厂商与云厂商按其标准生产,实现了 Meta 硬件采购成本的数十亿美元级削减。 - **AI 与平台独立性**:在经历移动端平台方“屡次拒绝 Meta 创新尝试”的痛苦后,Meta 决意将 AI、AR 眼镜及混合现实视为未来 20 年的生命线,坚决掌握核心技术自主权。 --- ### [35:55](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2155s) 移动端转型的至暗时刻:HTML5 惨败与破釜沉舟的原生重写 访谈中,主持人突然插话拉开了一段历史“偏航”,将话题引向 2012 年 Facebook 备受瞩目的 IPO 节点。当时 Facebook 估值高达 1000 亿美元,但上市后三个月内股价暴跌近 50%。其核心危机正是移动端技术路线的巨大溃败——彼时移动版 Facebook 完全依赖 HTML5 网页技术打包成原生应用壳。扎克伯格苦笑着回忆,由于团队骨子里是 Web 开发基因,习惯了“一次编写、全网运行、每日持续部署”的极速迭代风格;面对当时分散且繁琐的移动生态(iOS、Android、BlackBerry、Windows Mobile 各自为战且需要漫长的人工审核周折),团队天真地认为牺牲一部分原生流畅度,换取极致的研发与跨平台发布速度是划算的。 现实给了团队沉重一击:HTML5 带来的卡顿和糟糕交互被用户无情抛弃,原生体验无法被跨平台框架取代。为此,扎克伯格做出了一个极其激进且凶险的决定:暂停全公司的新功能开发约一年时间,推翻一切、从零重写完全原生的应用。扎克伯格回顾称,科技史上无数公司(如 Netscape)试图一边重构底层平台一边新增特性,最终由于战线过长而彻底万劫不复。为了规避“重写陷阱”,Meta 彻底冻结功能上新,专注攻坚性能和原生代码。而此时屋漏偏逢连夜雨:桌面端流量持续萎缩,完全不产生收入的移动端流量却呈爆发式增长;由于移动端根本没有侧边栏广告位,业内甚至还没发明出“信息流内生广告(Feed Ads)”,公司的商业化命脉几乎在一瞬间被逼入绝境。 | 评估维度 | 2012 年初 HTML5 架构路线 | 原生代码重写(Native Rewrite) | |:--- |:--- |:--- | | **战略出发点** | 延续 Web 极速迭代基因,单套代码适配多移动端系统 | 极致追求交互流畅度与系统级底层集成 | | **研发协作代价** | 跨平台壳技术导致交互卡顿、体验崩塌 | **全公司冻结新功能长达近一年**,全力攻坚重构 | | **面临的历史陷阱** | 低估了触控交互对原生响应速度的严苛要求 | 吸取 Netscape 教训,严禁在重构期间添加新特性 | | **商业化危机叠加** | 桌面端广告展示位随流量流失萎缩 | 移动端当时收入为零,倒逼团队探索研发“信息流原生广告” | ### [40:19](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2419s) 顺境与逆境的战略抉择:从“翻山理论”谈 IPO 阵痛 Mark Zuckerberg 剖析了顺境与逆境下公司战略决策的截然不同。他指出,在商业竞争中,当你处于逆境、正在输掉比赛时,接下来该做什么往往非常清晰,真正考验的是整个团队是否具备承受巨大痛苦的耐受力(pain tolerance)。相反,当业务顺风顺水、一路大赢时,反而极难判断下一步该如何走,因为最困难的事情是“从一个正在盈利的局部高地,跳向另一座未知的高山”(jumping from one local hill to another hill),这在企业文化上面临着难以想象的阻力。 在 Facebook 筹备 2012 年 IPO 期间,向移动端转型的压力如泰山压顶。团队内部当时非常担忧:如果公司在长达一年半的时间里无法产生利润,华尔街的投资者们必然会极度不满并大肆惩罚股价。但 Zuckerberg 当时的态度十分坚决:“从宏观的长远发展来看,一年半不过是弹指一挥间,动手干吧。”尽管那一年半的时间里,公司的市值惨遭腰斩,但公司内部团队很早就重拾了信心,因为大家确信自己在做正确的事情,并且在极其专注、负责任地执行。回过头来看,他甚至带着自嘲的幽默调侃道:“如今回想起来其实也没那么糟,市值不也就被砍掉了一半嘛,持续了一年半而已,我完全乐意接受这个代价。” ### [42:04](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2524s) 2016 年政治风暴与“犯了二十年的错误” 主持人顺着这个话题进一步发问:既然市值减半只算是一年半的失误,那么纵观 Meta 成立以来的所有外界批评与争议,Zuckerberg 认为最具自我审视价值、最合理且最严重的失误是什么? Zuckerberg 给出了一个极其坦诚且沉重的反思:政治误判是一个长达 20 年的巨大错误(a 20-year mistake)。他回顾道,在 2016 年之前,除了 IPO 后的短暂低迷,几乎没有哪个月外部舆论对 Facebook 是负面的;然而 2016 年美国大选之后,舆论环境骤变,几乎再也没有哪个月针对公司的情绪是积极的。他坦言自己当时在政治环境认知上极其缺乏成熟度(lack of sophistication),从根本上误诊了问题的性质: ```mermaid flowchart TD accTitle: 危机性质误判流程 accDescr: 对比企业危机公关模式与政治博弈模式的不同后果 subgraph Corporate["误判:当作常规企业危机处理"] A["外界指责与社会矛盾"] --> B["秉持创始人责任感<br/>全盘揽下并道歉承揽"] B --> C["政治对手顺水推舟<br/>将更多社会问题归咎于平台"] end subgraph Reality["政治博弈现实与反思"] D["区分善意批评与恶意政治转嫁"] --> E["坚守技术与事实底线"] E --> F["硬核回击毫无依据的指控<br/>依靠长期学术研究证伪"] end Corporate -.->|"反思转变"| Reality ``` - **误把政治博弈当作企业危机**:Zuckerberg 谈到,作为创业者,本能反应是“承担全责”(take ownership)——即使不全是我们造成的,也要大包大揽并承诺修复。然而在政治领域,很多人并非出于善意想解决问题,而只是在寻找替罪羊。一旦你主动认错承揽,对方不仅不会满意,反而会借机踩上一脚,把社会层面所有的撕裂与问题全部归咎于社交媒体与科技行业。 - **自我定位的偏差与反击原则**:他后悔公司当时全面接受了别人对自身过错的定性,而没有清晰、坚定地区分哪些确实是 Meta 应当改进的技术缺陷,哪些完全是外界无端推卸的责任。 - **漫长的声誉修复周期**:这场政治误判始于 2016 年,他估计公司还需要再花大约 10 年的时间,才能彻底走出这个负面舆论周期,让品牌回到原本应有的状态。不过他依然保持乐观:“在历史的长河中,20 年其实也没那么漫长,我们终会渡过难关,并且变得更加强大。” ### [47:18](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2838s) 证据驱动:以学术研究构建防御护城河 面对主持人关于“如今是否有一套清晰的框架来划定责任边界”的提问,Zuckerberg 指出,依赖科学研究与第三方证据是目前最有效的方式。当一家科技巨头深陷指控时,创始人单方面站出来说“这不是我们的错”毫无公信力。因此,Meta 吸取的教训是必须在事前大力支持独立的第三方学术机构开展前瞻性研究。 通过多年严谨的学术追踪与数据比对,许多主流指控(例如社交媒体与特定社会危害之间存在直接因果关联的论调)在事实层面上根本站不住脚。有了这些权威研究成果作为支撑,公司才能在面对莫须有的攻击时理直气壮地强硬回击,避免再次陷入以往有苦说不出的公关被动局面。 ### [48:14](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2894s) 超级投票权与 2006 年 Yahoo 10 亿美元收购危机 主持人和 Zuckerberg 谈及年轻创业者的长期主义优势——“19 岁就辍学创业的红利在于,即便经历一个 20 年的周期,你依然很年轻”,甚至有望拥有像 Warren Buffett 那样超长的商业寿命(Buffett duration)。主持人指出,Meta 能够承受长达数年的舆论煎熬与业务转型,其根本护城河在于 Zuckerberg 在极年轻时就设立了牢固的控制权结构(如超级投票权架构 Super-voting shares),而普通职业经理人 CEO 在此等压力下早就会被董事会罢免。 当被问及为何在如此年轻时就极具前瞻性地坚持掌控公司时,Zuckerberg 揭开了 2006 年 Facebook 历史上最凶险的一幕: - **Yahoo 10 亿美元报价诱惑**:2006 年,Yahoo 提出以 10 亿美元收购 Facebook。 - **管理层全面倒戈与董事会逼宫**:面对这笔巨款,Facebook 当时的整个高管管理团队全体赞成出售。董事会更是极力施压,甚至企图直接开除 Zuckerberg 以促成交易。 - **团队集体离职与沟通反思**:Zuckerberg 顶住压力坚决拒绝收购后,在接下来的一年里,整个管理团队的核心成员几乎走得精光。 - **青涩创始人的认知觉醒**:Zuckerberg 没有把过错推给离职的高管,而是反求诸己。他坦言自己当时根本还没有把 Facebook 当作一家真正的现代化企业来运营,也完全没有向团队清晰传达长期愿景的能力,这场刻骨铭心的濒死危机彻底重塑了他对公司控制权与治理结构的认知。 ### [49:51](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2991s) 拒绝雅虎收购与双重股权控制权的诞生 回顾拒绝雅虎(Yahoo)10 亿美元收购要约的节点,马克·扎克伯格(Mark Zuckerberg)坦诚,当时自己根本不具备用长期财务模型或战略规划去说服团队的能力。他心里只知道这是个极具价值的长期项目、自己完全没打算卖掉公司,但对大部分员工而言,雅虎的报价已是“初创公司所有梦想的终极实现”。当一名 22 岁的年轻创始人仅凭一句“我觉得不该卖,因为我们还要做这个那个”来反对时,团队自然深感不安且缺乏信心。这场危机直接导致管理层全面崩盘并全部离职。痛定思痛后,扎克伯格得出了一个极为现实的教训:“我不想因为坚持打造自己的公司,而被踢出自己的公司。” 由此,扎克伯格下定决心建立了一套极高防御性的公司治理结构(超级投票权),让董事会或外部投资人几乎不可能解雇他。主持人感叹,扎克伯格是在“痛苦中完成了进化”,加之 Facebook 在极早期就具备了强劲的自我造血与现金流生成能力,使他无需被迫断臂求生、出售股份来维系运转。 - 雅虎出价 10 亿美元时,管理团队普遍认为必须接受,因缺乏长远财务规划的有效沟通,团队产生严重分歧并最终全部出走。 - 为避免创始人被董事会解雇的风险,扎克伯格随后重新搭建了牢固的控制权治理结构。 - Facebook 极早期即实现了极佳的正向现金流,使其摆脱了受制于外部融资的被动局面。 --- ### [51:47](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3107s) 不要把创业浪漫化:保持敏捷与精简的哲学 主持人指出,扎克伯格是这个时代最具代表性的标杆级创业者,许多人因为被创业光环吸引而盲目开公司,但扎克伯格骨子里似乎讨厌处于初创期的脆弱与受制于人,一心只想尽快将其变成稳固经营的大企业。扎克伯格对此表示赞同,笑称“现在能调动资源做各种事,显然比早期好玩得多”。 对于过度浪漫化创业的创始人,扎克伯格给出了警示:为了“创业”而硬挑一个点子扎进去是极为危险的。最关键的是保持敏捷(nimble)并持续试错转向(pivot)。正如扎克伯格在哈佛时先后做过约 12 个不同的小项目,Facebook 最初只是其中之一。在团队极小时,“创始人只需在自己脑海里开会”就能迅速调转航向;一旦过早招募大量人员,员工往往会将个人自尊与既定方向捆绑,调头将变得极其困难。 此外,在项目尚未验证成熟的阶段堆砌过多人员,会直接剥夺团队成员的自主权(agency),导致工作体验枯燥沉闷,反而更招不来顶尖人才。这也是 Meta 近年来极力推行组织扁平化、回归大企业中最精简版本的原因。 ```mermaid flowchart TD accTitle: 精简与过度人员配置对创新的影响对比 accDescr: 对比保持团队精简敏捷与过早过度招聘对自主权及人才吸引力的不同后果 subgraph Lean["精简敏捷模式"] A["脑内即可快速开会决策"] --> B["无自尊内耗 / 快速调向试错"] B --> C["高自主权与强执行力"] C --> D["持续吸引核心顶尖人才"] end subgraph Bloat["过早过度配置模式"] E["过早扩招大量团队"] --> F["员工沉没自尊固守方向"] F --> G["流程冗长 / 个人自主权丧失"] G --> H["工作失去乐趣 / 顶尖人才流失"] end ``` --- ### [53:57](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3237s) 辩护 Reality Labs:万亿美元下注背后的战略自由 针对扎克伯格关于“阶段不匹配就不该堆砌人员”的观点,主持人半开玩笑地提出质疑:Meta 在 Reality Labs(元宇宙与硬件部门)上投入了“天文数字”(gajillion dollars),而且当前并没赚到多少钱,这是否违背了他刚刚阐述的精简原则? 扎克伯格从两个维度进行了深度剖析: 1. **确定性的代际计算平台迁移**:站在 Meta 当前的体量,必须谋划未来 10 到 20 年的基础设施。他笃定全息投影、AR 与智能眼镜必将成为无所不在的普及型计算设备。哪怕全球现有的眼镜佩戴者仅仅将传统眼镜升级为内置 AI 的智能眼镜,其体量就足以成为人类商业史上最成功的产品之一。 2. **摆脱移动生态系统的“平台税”与制约**:长期寄居在苹果与谷歌的移动生态下,Meta 承受了严苛的平台政策限制,广告业务与产品发布屡屡受挫。扎克伯格算过一笔账,如果 Meta 拥有自己的硬件计算平台,其盈利能力可能是现在的两倍。拥有绝对控制权意味着 Meta 不会再被他人卡脖子,尽管投资人对此经常抱怨,但依靠自己的投票控制权,他能够坚持这份长线投资。 - 全球眼镜升级逻辑:仅需将全球存量佩戴普通眼镜的人群转化为“AI 智能眼镜”用户,商业回报就已达历史量级。 - 平台独立性价值:扎克伯格估算,若 Meta 自主掌握底层操作系统与硬件平台、无需缴纳移动生态“平台税”并受制于审核政策,公司的利润空间可能翻倍。 --- ### [56:04](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3364s) 从“做好用(Good)”跃迁至“令人惊叹(Awesome)” 扎克伯格谈到了自己价值观的演进。早年 Oculus 团队的一席话深深触动了他:做“好用的东西(good things)”和做“令人惊叹的东西(awesome things)”有着本质区别。 - **Good(好用的)**:实用、解决痛点、增添日常便利。Meta 旗下的社交应用家族(Facebook、Instagram、WhatsApp 等)每天有超过 33 亿人使用,深刻连接了世界并赋能了无数商业和社区,但几乎没有人每天早晨醒来会兴奋地大喊:“太棒了,我爱死社交网络了!” - **Awesome(令人惊叹的)**:振奋人心、激发灵感,让人对人类的未来重燃乐观与向往。 扎克伯格明确表示,Meta 未来 15 年的全新阶段,目标是在保持“好用”的同时,全力打造更多“令人惊叹”的技术与产品。无论是 Reality Labs 的底层技术突破、开源与前沿 AI 研发,还是正在开发的新一代应用,都会锚定这一更高的精神追求。 随着人生阅历的增长,扎克伯格也将这种追求延伸到了个人生活中:与优秀的伴侣和团队一起攻克前沿科研难题(通过与妻子普莉希拉·陈的科学慈善倡议);与顶级设计师(如 Mike Amiri)合作定制前卫服装;甚至邀请当代著名艺术家丹尼尔·阿尔轩(Daniel Arsham)为妻子定制一座极具古典罗马传统风格的个人雕像,以此将浪漫、艺术与振奋人心的灵感融入日常生活之中。 ### [59:32](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3572s) 考艾岛牧场与疫情期间的深度反思 扎克伯格谈起了自己在工作之外的支线项目——他在夏威夷考艾岛(Kauai)经营着一座养牛场,目标是培育出全球品质最高的高端牛肉。他兴致勃勃地聊起牧场里的一头种牛,称它为“纯爷们”:牧场工人们几乎拦不住它,每次把它关进坚固的钢制围栏里,只要它一看到母牛,就会直接暴烈地撞穿钢结构护栏冲出去。扎克伯格笑着调侃道,要做出世界上最顶级的牛肉,你需要的就是这种极具冲劲和血性的公牛。对他来说,无论是搞科技还是经营牧场,核心都是“与极其出色的人一起做极高品质的事”;如果未来十五到二十年自己的生活与工作都能如此度过,那就是一段再好不过的时光。 主持人随即追问,这种对待事业和生活的状态究竟是何时成为首要优先级的。这种从过去的严肃拘谨到如今松弛又聚焦的转变显得如此彻底,究竟是渐渐发生的,还是一直潜藏在大家看不到的地方?扎克伯格坦言,新冠疫情对公司运营模式的重塑是一个关键契机。当时整个硅谷科技圈骤然转向远程办公,这给了他一个难得抽身退步、审视全局的机会。他坦承自己骨子里是一个相当内向的人(introverted person),虽然能从与优秀人才的共事交流中汲取大量能量与灵感,但他同样极其需要独处的空间来恢复精力与思考。 疫情暴发期间,一方面居家办公赋予了他这种反思与沉淀的独处时光;另一方面,当时美国社会正经历剧烈的政治震荡与舆论对立,而 Meta 恰好深陷各方风暴的正中心。这双重因素交织在一起,促使他停下来,对公司乃至自己人生的长远方向进行了极为严肃的复盘与重塑。 --- ### [01:01:38](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3698s) 全面押注 AI 与 Reality Labs:市值暴跌下的战略定力 在疫情带来的沉思期,扎克伯格面对着公司早在多年前就埋下、但彼时规模尚小的两颗战略种子:一个是早在 2014 年收购 Oculus 起步的 Reality Labs(元宇宙与硬件探索),另一个则是始于 2012 至 2013 年前后的 FAIR(基础人工智能研究实验室)。这两大业务此时都已发展到了关键节点,摆在管理层面前的问题十分尖锐:公司究竟是将它们当作可有可无的“业余爱好”继续维持,还是要孤注一掷全力加码(double down)? 扎克伯格给出了极为笃定的答案:“不,我认为我们必须倾尽全力去投入。”他确信这些技术将成为公司长远未来不可或缺的支柱。但这一决断伴随着巨大的代价——大规模采买算力、铺设 AI 基础设施,以及给硬件实验室输血,短期内必定会遭受资本市场的极力抵触与痛骂。然而,扎克伯格未曾预料到的是,不仅投资者对激增的资本支出深感不满,全球宏观经济衰退也在同一时期猛烈来袭,导致 Meta 遭遇了公司史上最惨烈的一次市值缩水(市值一度蒸发了近 80%)。 面对外界狂风暴雨般的唱衰,扎克伯格展现出了标志性的韧劲。他表示,逆境正是看清一家公司本质的时刻,"失去一半的市值与失去 80% 的市值相比甚至显得微不足道"。即便在内部产生无数激烈争论的时刻,他的信念依然清晰:这是对世界长远发展至关重要的方向,公司绝不是第一次经历至暗时刻;痛苦的周期虽然难熬,但它最终会淘洗出更精简、更强悍的组织组织,“放手去干吧”。 ```mermaid flowchart TD accTitle: Meta战略抉择与抗压路径 accDescr: 展示Meta在AI与元宇宙项目上面对抉择时坚定全面押注并承受短期阵痛的决策过程 subgraph Origin ["业务初期沉淀"] RL["Reality Labs<br/>(始于2014)"] FAIR["FAIR 基础AI实验室<br/>(始于2012-2013)"] end subgraph Fork ["战略分水岭抉择"] Choice{"维持业余爱好<br/>还是孤注一掷?"} end subgraph Execution ["全面押注与压力"] Invest["重金建设 AI 算力底座<br/>& 规模化硬件研发"] Crisis["双重危机交织:<br/>投资者抗拒 + 宏观经济衰退<br/>(市值暴跌约80%)"] end subgraph Outcome ["组织蜕变"] Result["坚守长期信念<br/>组织精简进化<br/>确立下一代平台地位"] end RL --> Choice FAIR --> Choice Choice --"全面押注 (Double Down)"--> Invest Invest --> Crisis Crisis --> Result ``` --- ### [01:03:45](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3825s) 改名 Meta 的真相:向着未来奔跑,而非逃避危机 访谈进入尾声的快问快答阶段,主持人抛出了一个许多人好奇已久的问题:在拥有 Facebook、Instagram、WhatsApp 等庞大应用家族的背景下,脱离单一产品名进行母公司更名固然合情合理,但如果把时间放到今天——在生成式 AI、AR、VR 全面并进的当下,扎克伯格还会选择把公司命名为 “Meta” 吗? 扎克伯格笑着肯定了这一选择,并感叹起一个简短又有分量的好名字是多么难得。他回顾道,当年公司经历了漫长的发展,从最初的“Facebook 加几个小附属应用”,逐步演变成旗下拥有多款用户规模突破 10 亿的超级应用矩阵(如今已有四款应用月活超十亿,若 Threads 保持增长态势,未来几年有望诞生第五款)。此时用其中某一个应用的名字来作为母公司名称,显然已无法承载业务全貌。 更关键的是更名背后的哲学考量。当时正值 Cambridge Analytica 及一系列品牌与政治风波,外界与顾问团队中充斥着“赶紧弃用 Facebook 这个受损品牌来避险”的提议。扎克伯格对此坚决反对。他明确表态:“我们绝不会通过逃跑来解决问题。只有当我们构想出的新品牌能够真正唤起我们想要创造的未来时,我们才会去改名;我们要向着未来奔跑,而不是从麻烦中落荒而逃。”正因如此,当团队敲定“Meta”这一代表超越与元宇宙愿景的名字时,即便伴随着巨大的外部争议,他也毅然选择直面风浪、全速前行。 - **多产品生态**:旗下已有 4 款用户超 10 亿的应用(Facebook、Instagram、WhatsApp、Messenger),且 Threads 正在向第 5 款迈进。 - **改名核心哲学**:“向着目标奔跑(Run towards something),而非从问题身边逃走(Don't run away from things)”。 --- ### [01:06:06](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3966s) “在墙上撞出一个窟窿”:极度好胜与苹果的意识形态之战 主持人从战略灵活性角度提出了不同视角:许多人认为 Meta 的核心能力在于敏锐发现产品趋势并快速跟进迭代,因此理论上扎克伯格应该保留最大的操控自由度(maneuverability),选择一个不将自己死死绑定在某个具体未来上的中性品牌。面对这种“保留退路”的建议,扎克伯格坦诚地给出了自己的底色回答:Meta 从来不是一家留退路的公司。 扎克伯格直言,团队的行事风格一贯是确立一个宏大愿景,在地上立起战旗,然后所有人毫无保留地向其冲刺。“我们是一家在目标前直接立旗的公司,认准了就一定会彻底贯彻。如果在我们面前挡了一堵墙,墙上一定会被撞出一个扎克伯格形状的窟窿(there's going to be a Mark-shaped hole in the wall)。”主持人和全场观众听罢爆发出一阵笑声。 主持人随即聊到扎克伯格近期惊人的个人状态:从早年著名的“年度个人挑战”(如学中文、亲手宰杀肉食等),演变成如今每周都在挑战极限——不仅自己参与设计 T 恤、定制古罗马风格雕塑,还深涉水上翼板、柔术与综合格斗等极限运动。扎克伯格坦言自己有着“极强的好胜心(really competitive)”,无论是生活还是商业战场皆是如此。 谈到竞争对手时,扎克伯格特别强调了苹果(Apple): - **隐形巨头威胁**:外界常误以为苹果与 Meta 做的是不同类型的事情,但扎克伯格认为苹果是 Meta 面临的远比外界认知中大得多的宿敌。 - **意识形态之争**:未来 10 到 15 年,科技界将围绕下一代计算平台的系统架构展开一场深刻的“意识形态决战”——究竟是苹果始终坚持的封闭集成模式(closed integrated Apple model)胜出,还是开放的计算生态模式占据主流。这一深层次对决,将彻底重塑下一代人机交互的格局。 ### [01:09:26](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4166s) 开放与封闭生态之争:扎克伯格对下一代计算平台的雄心 扎克伯格回顾了计算历史上的不同世代,从 PC 到移动设备,每个时代都会出现封闭集成式生态与开放生态的对决。他指出,当前科技界存在严重的“近因偏差”(recency bias):因为 iPhone 实际上赢得了移动互联网时代的智力制高点与大部分利润,即便 Android 拥有更多的出货量,几乎在场的每个人口袋里也依然揣着一部 iPhone。这种现实让人们产生了一种误解,以为封闭集成的模式天然就更为优越。然而在 PC 时代,代表开放生态的 Windows 才是绝对的主导者,因此封闭模式的胜利绝非历史的必然。 扎克伯格明确表示,自己在未来 10 到 15 年、即下一代计算平台中的首要目标,就是打造下一代开放平台,并让开放平台最终胜出。他坚信开放能够带来更具活力的科技行业生态。尽管苹果仍将凭借其封闭集成模式占据一席之地,并毫无疑问是 Meta 的主要竞争对手,但扎克伯格强调,这已经超越了单纯的产品竞争——这是一场关乎科技产业未来价值取向和意识形态的深刻较量。无论是像 Llama 这样的人工智能技术,还是智能眼镜等硬件载体,都应该对开发者保持开放,让任何一个身在大学宿舍里的年轻人(就像当年的他自己一样),无需事先向巨头祈求许可,就能自由创造下一代了不起的产品。 ```mermaid flowchart TD accTitle: 开放与封闭生态在不同计算时代的演进 accDescr: 对比 PC 时代、移动时代与下一代计算平台中封闭集成与开放生态的竞争格局 subgraph PC_Era["PC 时代"] PC_Closed["封闭生态: Mac"] PC_Open["开放生态: Windows (主导赢家)"] end subgraph Mobile_Era["移动计算时代"] Mob_Closed["封闭集成: iPhone / iOS (引领心智与利润)"] Mob_Open["开放生态: Android"] end subgraph Future_Era["下一代计算平台 (未来 10-15 年)"] Fut_Closed["苹果生态: 封闭软硬件集成"] Fut_Open["Meta 愿景: 开放平台 (Llama / 智能眼镜 / 无需准入许可)"] end PC_Open -.->|"理念传承"| Fut_Open Mob_Closed -.->|"近因偏差影响"| Fut_Closed ``` --- ### [01:11:08](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4268s) 最后的提问与给创业者的建议:成为你自己 主持人提出全场最后一个问题:台下聚集了大量今天的开拓者和创始人,他们正处于自移动互联网初期以来最激动人心的技术窗口期;面对这个与 20 年前完全不同的世界,对于今天不想简单照搬模式化 2004 年扎克伯格的创业者,他有什么建议?扎克伯格坦诚回答:“去做你真正发自内心在乎的事情。”如果要借鉴 Meta 的策略,那就尽可能快速地学习,但他强调成功并没有单一的标准路径,适合 Meta 的方法并不一定适用于别人。 为了说明这一点,扎克伯格分享了一个温暖而风趣的家庭小故事:有一次他带女儿去参加泰勒·斯威夫特(Taylor Swift)的演唱会,女儿看完全场后说:“爸爸,我长大后想成为像泰勒·斯威夫特那样的人。”扎克伯格当时直接泼了一头冷水:“但是你成不了她,那条路你选不了。”女儿若有所思地想了想,接着回答道:“好吧,那我长大后,要让别人想成为像奥古斯特·陈·扎克伯格(August Chan Zuckerberg)那样的人!”扎克伯格对此大加赞赏并直呼“太酷了(Hell yeah)”。他借此总结道:从他人的成功和失败中吸取经验,但归根结底,做你自己的事情。 --- ### [01:13:01](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4381s) 现场定制礼赠:独一无二的“Zuck 尺码”T恤 在热烈的掌声中,主持人为主持访谈画上圆满句号,并拿出了特意为扎克伯格准备的礼物。考虑到扎克伯格当晚穿着由 Mike Amiri 设计的衬衫,主持人打趣希望他的生活里还能容得下另一件衣服。扎克伯格笑着自嘲:“我以前确实只穿同一种衣服,但现在我已经走出来了。” Ben 和 David 送给他的是一件专属定制、全球仅此一件的“Zuck 尺码”T 恤,背部印有两组极具纪念意义的 GPS 经纬度坐标: - 第一组坐标指向哈佛大学的柯克兰楼(Kirkland House),那是扎克伯格为 Facebook 敲下第一行代码的地方; - 第二组坐标则指向旧金山的大通中心(Chase Center),记录下今晚 6,000 人座无虚席的战略对话之夜。 扎克伯格欣然道谢,并在全场雷动的掌声中完成了这次里程碑式的访谈。 --- ### [01:13:57](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4437s) 舞台落幕与反思赞助:Statsig 的工程实验基因 访谈结束后,Ben 和 David 在台上分享了最初的震撼感受。扎克伯格今年虽然参加过不少播客和媒体专访,但当着 6,000 名现场观众在一个大型体育馆里做实时对谈,完全是极其罕见且令人震撼的体验,也是他们职业生涯中最疯狂的一幕。随后,节目切入对本场支持赞助商的深度复盘。 首先介绍的是产品加速平台 Statsig。扎克伯格最著名的名言是“快速行动,打破常规”(Move fast and break things),但耐人寻味的是,Facebook 本身的产品其实极少真正崩溃。这背后的核心秘诀在于 Facebook 在内部工具上倾注了数十万小时的研发力量,打造了一套让任何新员工(甚至刚入职第一周的实习生)都能自由发布新功能,同时兼具实时指标护栏、自动化监控和一键回滚能力的系统。Statsig 正是由前 Meta 团队创办,旨在将这套结合了 Feature Flags(特性开关)、产品分析、A/B 实验和系统可观测性(Observability)的产品加速工具带给全行业的开发者。目前 OpenAI、微软、Notion、Anthropic、Figma 以及众多早期创业团队均在深度使用其服务。 - **Facebook 的工程护栏**:允许激进发布,但所有决策必须由底层指标实时驱动,出现问题秒级回滚。 - **Statsig 的价值**:将 Meta 内部千万级工程打磨出的试验和迭代基础设施实现商业化普及。 --- ### [01:16:36](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4596s) 算力背后的物理现实:Crusoe 与 AI 能源基建 接着,两位主持人重点复盘了他们投资并深度合作的绿色云计算平台 Crusoe。随着行业对 AI 的认知不断深化,人们意识到 AI 不仅是 Meta、OpenAI 或 Anthropic 的博士们在办公室微调模型权重和调度计算那么简单,在模型训练按键启动之后,是一整套庞大沉重的工业化实体支撑——涵盖土地建设、能源调配和高密度散热系统。正如扎克伯格等人指出的那样,AI 扩张的真正瓶颈终将从芯片计算能力转向电力能源本身。 Crusoe 的核心创新在于构建并运营专门针对 AI 工作负载的 GPU 数据中心,直接利用原本被浪费甚至作为温室气体排放的低成本闲置能源(stranded energy)来发电,实现超低成本以及零排放甚至是净负排放。目前 Crusoe 储备的管线开发电量已经高达数吉瓦(GW)级别,堪比多座核反应堆的供电规模。不仅为初创企业提供全托管的 AI 云,更成为多家全球巨头最为信赖的底层绿色数据中心供应商。 --- ### [01:18:26](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4706s) 现场视角的深层复盘:打破公关防线的真实扎克伯格 广告过后,Ben 和 David 重新回到对扎克伯格当晚表现的直接复盘中。David 提到,在筹备这次活动与扎克伯格及其公关团队沟通时,团队一直在提醒说:“马克通常不这么做。”起初 David 以为这只是一种托词,因为马克今年频频露面播客,每年也都有 Meta Connect 大会的主题演讲,甚至也接受纸媒深度采访。 但真正坐在这个舞台上时,他们才意识到两者的本质区别:这是扎克伯格第一次在没有演讲提词器、没有公关团队随时介入剪辑的情况下,在一个能容纳数千人的外部公开体育馆里进行完全开放、无剪辑的实时深度对谈。这种高压且完全没有缓冲余地的对话形式,对主持人和受访者都是极大的心理挑战,却也逼出了一个前所未有真实、直接且极度专注的扎克伯格。 ### [01:19:11](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4751s) 全情投入的 Meta 团队与直面历史的扎克伯格 访谈结束后,两位主持人 Ben 与 David 难掩兴奋,在后台复盘起整场演出的震撼体验。这是一场在 Chase Center 现场 6,000 名观众注视下进行的现场直播演出,没有任何暂停,也绝无重录的机会。令他们感到意外且欣喜的是,马克·扎克伯格(Mark Zuckerberg)以及整个 Meta 高管团队对这场活动展现出了极高的重视程度。不仅大批核心高管特意空出了整整一天(甚至包括前一晚的准备活动)全程陪同,多位董事会成员、对马克极为重要的亲友以及他的家人也悉数到场,真正把这办成了一场盛大的事件。Ben 坦言,原本以为这仅仅是 Acquired 播客团队的里程碑事件,没想到马克本人同样将其视作一件大事,这种重视程度令人倍感振奋。 更让主持人惊喜的是,马克在台上毫无保留地深入探讨了公司的历史脉络。在活动前的沟通筹备阶段,马克曾打趣道:“我一直把你们当作一档历史类播客……咱们还是多聊聊未来吧。”尽管主持人坚持访谈必须扎根于历史,但他们原本没料到一贯极度聚焦未来的马克会如此自然、坦诚地回溯过去。正是这种对历史的回顾,让探讨 Meta 的当下与未来变得更加深刻,使台下观众清晰地看清了贯穿始终的战略主线。当话题插话切回至当年 Facebook 的 IPO 艰难时刻时,它不仅制造了生动的戏剧效果,更为整场对话打开了一扇窗——让人们得以比较:Meta 如今在大模型与元宇宙上的大举投入,是否与过去反复出现的战略行为模式如出一辙?他在台上的表述极其真实自然,展现出了公众前所未见的真诚一面。 ### [01:20:48](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4848s) 扎克伯格依然“身在局中”:以 Meta 为一生的创造载体 这场对话给主持人带来的最深层震撼,在于清晰地展现了马克的精神世界与执掌状态——创业二十年后,他依然全神贯注地“身在局中”(still in it)。放眼整个商业界,在同等体量的巨头企业中,至今仍奋战在业务第一线的创始人 CEO 几乎屈指可数,唯有英伟达(Nvidia)的黄仁勋(Jensen Huang)能与之并提。许多科技公司的创始人历经二十年光阴后,往往会转向幕后,改任执行董事长、退居董事会,或者稀释股权至微不足道的个位数并转战其他事务。但马克在舞台上所展现的状态却毫无退意:刚满 40 岁的他,绝不认为自己的征途已经过半,更不存在“干满 20 年就功成身退”的想法。 在主持人看来,Meta 就是马克践行自己整个人生追求的载体;他的终极产品策略,就是与这群伙伴一起亲手做出他真正想创造的酷炫产品。当马克在台上谈及长达二十年的企业应对误区,并脱口而出“但 20 年其实也没那么长”时,在场的主持人直言“全身起了一层鸡皮疙瘩”。当 Ben 试图引导他像做研究调研那样对公司进行客观审视与批评时,马克虽然给出的更多是一种遗憾而非尖锐的自我批判,但在 6,000 人瞩目的现场舞台上,这番直面内心遗憾的回答已经展现了极大的坦诚与深刻。 ```mermaid flowchart TD accTitle: Meta 组织架构与扎克伯格个人能力的放大机制 accDescr: 展示 Meta 如何在法律、财务、组织与文化各层面全面服务并放大扎克伯格个人能力的图表 subgraph Core ["核心驱动力"] Zuck["扎克伯格的产品直觉与掌控欲<br/>(高自由度、迭代博弈思维)"] end subgraph Architecture ["Meta 放大器架构 (10,000x Gain)"] Legal["法律架构<br/>双重股权投票权,确保免受外部干扰"] Finance["财务底座<br/>成熟社交广告现金流,内部输血长期豪赌"] Org["组织与文化<br/>高度对齐创始人意志,支持多轮次快速试错"] end subgraph Output ["战略产出"] AppFamily["核心应用家族<br/>(Facebook, Instagram, WhatsApp)"] RealityLabs["Reality Labs<br/>(内部孵化的“蓝色起源”级长线豪赌)"] end Zuck --> Architecture Architecture --> Output ``` ### [01:22:17](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4937s) Reality Labs:留在 Meta 体内的“蓝色起源”与回合制博弈 顺着马克“仍深扎业务”的话题,主持人深入探讨了 Meta 旗下负责元宇宙与硬件业务的 Reality Labs。在某种意义上,Reality Labs 的性质宛如马克的“蓝色起源”(Blue Origin)——一项耗资极其庞大、极具前瞻性且对世界具有深远影响的长周期探索。但关键差异在于,杰夫·贝佐斯(Jeff Bezos)等科技巨头创始人在功成名就后,通常是退居幕后、独立创立外部企业并为其注入资本;而马克却选择直接将这项重资产战略牢牢留在 Meta 的单一公司架构之内。 这种将多个耗资巨大的超级豪赌融合在单一企业保护伞下的做法,究竟会带来怎样的预见或意外成果,恐怕需要 20 到 50 年后才能真正见分晓。对马克而言,Meta 是他打造梦寐以求的产品、掌控自己世界与生态自由度的终极工具。他骨子里极度渴望拥有海量的“自由度”(degrees of freedom),绝无法忍受被苹果等移动生态平台画地为牢。Ben 形象地借用即时战略游戏打比方:这就像星际争霸(StarCraft)职业选手的思维——在回合制与多轮博弈中,“尽可能争取更多的回合数,并在每一个回合里学到比对手更多的东西”,而 Reality Labs 在 Meta 内部的发展模式正是这种产品哲学的投射。 ### [01:23:48](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=5028s) 终极洞察:Meta 是扎克伯格个人的“超级放大器” 整场访谈给主持人带来的最核心认知,触及了多年来调研 Meta 的终极谜题。Ben 在调研各家企业时,总会向内部人士提出一个标志性问题:“外界关于这家公司最普遍的误解是什么?”多年来,Meta 内部员工给出的答案惊人一致:“马克本人”。直到这个夜晚,主持人才真正豁然开朗:这不仅仅指马克个人的独特气质,更在于 Meta 这家公司的终极超能力——整家公司从顶层到底层,无论在法律架构(绝对控制权)、财务机制、组织阵型还是企业文化上,全都被精心设计成了用来承载并数万倍放大马克个人优势的“超级功率放大器”。 这种创始人与公司高度一体化的现象,在历史上曾出现在乔布斯时代的苹果(Apple)、比尔·盖茨时期的微软(Microsoft)以及如今黄仁勋麾下的英伟达。然而,公众叙事早已充分理解了乔布斯之于苹果、老黄之于英伟达的决定性意义,却普遍低估甚至误解了马克之于 Meta 的真实角色。公众往往没有意识到,整座 Meta 帝国至今仍彻头彻尾运转在“马克·扎克伯格制作”(A Mark Zuckerberg Production)的逻辑之下。 - 播客听众互动与社群渠道: - 讨论社群:Slack(acquired.fm/slack) - 邮件订阅:邮件通知列表(acquired.fm/email),可获取新节目发布及大型现场活动的第一时间通知 - 周边商城:Acquired 官方周边商店(acquired.fm/store) - 姊妹节目:ACQ2,专注深度访谈早期及高成长阶段的创业公司创始人与 CEO - 现场致谢名单: - 特别感谢:马克·扎克伯格、全情协助的 Meta 核心执行管理团队及其家属 - 服装赞助:爱马仕(Hermès)为两位主持人提供当晚着装 - 核心合作伙伴:杰米·戴蒙(Jamie Dimon)、摩根大通(JPMorgan Chase)及 JPMorgan Payments 的鼎力支持 - 现场演出:Mike Taylor 献唱经典片尾曲《Who Got the Truth?》 ## Notable quotes > [05:30](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=330s) 开玩笑的,我现在已经不道歉了(I don't apologize anymore)。 — Mark Zuckerberg > [07:24](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=444s) 你只有在不断碰壁、面对一次又一次重大挑战的过程中,才能真正弄清楚什么对你最重要、你的真正定位是什么。这不仅是创业之旅的本质,也是创造事物的迷人之处。 — Mark Zuckerberg > [10:17](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=617s) 从未将 Meta 视为一家单纯的社交媒体公司,也从未认为这是一家社交 App 公司 — Mark Zuckerberg > [18:37](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1117s) 我们是一家专注于人类连接的技术公司,而不是某一种特定形态的应用公司(a technology company that is focused on human connection, not a specific type of app)。 — Mark Zuckerberg > [21:05](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1265s) 如果你的团队构成是这个样子,那你根本不算一家科技公司。 — Mark Zuckerberg > [23:28](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1408s) 如果我们的学习速度能够超越世界上任何一家公司,我们就会赢。 — Mark Zuckerberg > [25:40](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1540s) 几乎快让自己感到尴尬的边缘(Almost at the line of being embarrassed about what you put out) — Mark Zuckerberg > [25:40](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1540s) 如果你非要等到外界全是一片赞誉时才发布,你就错失了海量本可以用来学习并融入下一版本的宝贵时间。 — Mark Zuckerberg > [30:36](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=1836s) 公司外部的聪明人永远比公司内部要多 — Mark Zuckerberg > [40:19](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2419s) 从宏观的长远发展来看,一年半不过是弹指一挥间,动手干吧。 — Mark Zuckerberg > [49:51](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=2991s) 我不想因为坚持打造自己的公司,而被踢出自己的公司。 — Mark Zuckerberg > [01:03:45](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3825s) 我们绝不会通过逃跑来解决问题。只有当我们构想出的新品牌能够真正唤起我们想要创造的未来时,我们才会去改名;我们要向着未来奔跑,而不是从麻烦中落荒而逃。 — Mark Zuckerberg > [01:06:06](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=3966s) 我们是一家在目标前直接立旗的公司,认准了就一定会彻底贯彻。如果在我们面前挡了一堵墙,墙上一定会被撞出一个扎克伯格形状的窟窿(there's going to be a Mark-shaped hole in the wall)。 — Mark Zuckerberg > [01:11:08](https://www.youtube.com/watch?v=QciJ9ubeLQk&t=4268s) 去做你真正发自内心在乎的事情。 — Mark Zuckerberg ## Mentioned Mark Zuckerberg, Ben Gilbert, David Rosenthal, Meta, Facebook, Instagram, WhatsApp, Threads, Messenger, Reality Labs, FAIR, Llama, Meta AI, Ray-Ban Meta 智能眼镜, EssilorLuxottica, Jensen Huang, NVIDIA, Daniel Ek, Spotify, Emily Chang, Mike Taylor, Jamie Dimon, JPMorgan Chase, Dustin Sedgwick, Mike Amiri, Alex Himel, Dustin Moskovitz, Priscilla Chan, Daniel Arsham, Statsig, Crusoe, Open Compute Project, Apple, Google, Yahoo, MySpace, Friendster, Snapchat, TikTok, Twitter, Oculus, Hermès ## Video description Mark is the iconic founder CEO of our time. At Chase Center on September 10, 2024, he did an unprecedented thing: a live conversation in front of 6,000 people on Meta’s company strategy, sharing stories from early Facebook history, and his thoughts on the future of AI, VR, and AR. Mark was remarkably candid in our discussion, and gave us a window into his real and intense daily demeanor leading Meta. (And his other life endeavors!) We can't wait to release the complete video of the whole night, including our surprise conversations with Daniel Ek, Emily Chang, and cameo appearances from Jensen Huang and Mike Taylor (the incredible singer of “Who Got the Truth?”). That’s coming in a couple weeks, but for now: enjoy this conversation with Mark Zuckerberg. *Links:* - 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! _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=QciJ9ubeLQk)

Source quotes

[5:30] Mark Zuckerberg: 开玩笑的,我现在已经不道歉了(I don't apologize anymore)。 [7:24] Mark Zuckerberg: 你只有在不断碰壁、面对一次又一次重大挑战的过程中,才能真正弄清楚什么对你最重要、你的真正定位是什么。这不仅是创业之旅的本质,也是创造事物的迷人之处。 [10:17] Mark Zuckerberg: 从未将 Meta 视为一家单纯的社交媒体公司,也从未认为这是一家社交 App 公司 [18:37] Mark Zuckerberg: 我们是一家专注于人类连接的技术公司,而不是某一种特定形态的应用公司(a technology company that is focused on human connection, not a specific type of app)。 [21:05] Mark Zuckerberg: 如果你的团队构成是这个样子,那你根本不算一家科技公司。 [23:28] Mark Zuckerberg: 如果我们的学习速度能够超越世界上任何一家公司,我们就会赢。 [25:40] Mark Zuckerberg: 几乎快让自己感到尴尬的边缘(Almost at the line of being embarrassed about what you put out) [25:40] Mark Zuckerberg: 如果你非要等到外界全是一片赞誉时才发布,你就错失了海量本可以用来学习并融入下一版本的宝贵时间。 [30:36] Mark Zuckerberg: 公司外部的聪明人永远比公司内部要多 [40:19] Mark Zuckerberg: 从宏观的长远发展来看,一年半不过是弹指一挥间,动手干吧。 [49:51] Mark Zuckerberg: 我不想因为坚持打造自己的公司,而被踢出自己的公司。 [63:45] Mark Zuckerberg: 我们绝不会通过逃跑来解决问题。只有当我们构想出的新品牌能够真正唤起我们想要创造的未来时,我们才会去改名;我们要向着未来奔跑,而不是从麻烦中落荒而逃。 [66:06] Mark Zuckerberg: 我们是一家在目标前直接立旗的公司,认准了就一定会彻底贯彻。如果在我们面前挡了一堵墙,墙上一定会被撞出一个扎克伯格形状的窟窿(there's going to be a Mark-shaped hole in the wall)。 [71:08] Mark Zuckerberg: 去做你真正发自内心在乎的事情。

Source quotes

[4:52] Jamie Dimon: sorry I couldn't be there in person tonight [5:30] Mark Zuckerberg: Naw, just kidding... I don't apologize anymore. [5:30] Mark Zuckerberg: learning through suffering [15:19] Mark Zuckerberg: surely the project that we're working on now is not a company [17:22] Mark Zuckerberg: Those glasses, could we put Meta AI in them running on device and like ship that soon so we can see if that's a good idea or not? [18:37] Mark Zuckerberg: we're a technology company that is focused on human connection, not a specific type of app [21:15] Mark Zuckerberg: if that's your team, then you're not a technology company [22:59] Mark Zuckerberg: if we can learn faster than every other company, we're going to win [30:01] Mark Zuckerberg: there are more smart people outside of your company than inside your company [33:50] Mark Zuckerberg: nah, you can't build that [38:22] Mark Zuckerberg: when you're losing, it's usually pretty clear what you have to do [42:08] Mark Zuckerberg: I think we accepted other people's view of some of the things that, you know, they were asserting that we were doing wrong or were responsible for that I don't actually think we were. [49:51] Mark Zuckerberg: hey I think we should turn this down because um we're going to do this [53:57] Mark Zuckerberg: If all we get is all the people in the world who already have glasses upgrading to glasses that have ai in them, then like this is already going to be one of the most successful products in the history of the world. [60:32] Mark Zuckerberg: we don't run away from that... we run towards something, we don't run away from things [71:08] August Chan Zuckerberg: all right, when I grow up I want people to want to be like August Chan Zuckerberg

Original transcript

[0:00] so how many interviews with Mark do you [0:02] think you watched before tonight oh to [0:05] prepare [0:06] yeah uh 30 to 40 I the the best ones are [0:11] the 04 to 06 vintage but they're all [0:15] different it's almost like every 3 to [0:16] four years is a new era that is markedly [0:19] different from all the previous eras [0:21] totally and uh I think we might have [0:23] witness the beginning of a new era right [0:25] in front of us on stage oh yes [0:28] absolutely all right should we do this [0:31] let's do it who got the [0:34] truth is it you is it you is it you who [0:37] got the truth [0:39] now is it you is it you is it you sit it [0:43] down say it straight another story on [0:48] the welcome to the fall 2024 season of [0:51] acquired the podcast about great [0:53] companies and the stories and playbooks [0:55] behind them I'm Ben Gilbert I'm David [0:58] renthal and we are your host hosts [1:00] listeners we have something very special [1:02] for you today our interview with Mark [1:04] Zuckerberg from acquired live at Chase [1:07] Center W Mark is the iconic founder CEO [1:11] of our time and this conversation was [1:13] just too good to hold on to any longer [1:15] so we are getting it out quickly before [1:17] we release the full video of the entire [1:19] show which Speaking of the full show was [1:24] utterly amazing we had surprise [1:26] appearances from Jensen hang Daniel e [1:28] Emily Chang and of course we had the one [1:31] and only Mike Taylor the artist who [1:33] sings who got the truth performing live [1:36] it was incredible we've got basically a [1:39] whole Film Production that's now [1:40] happening behind the scenes with another [1:43] 90 minutes of content Beyond just this [1:44] Mark interview we should have that out [1:46] in the next couple weeks so stay tuned [1:48] for that first though a huge thank you [1:50] to our partners this season you know our [1:53] presenting partner JP Morgan payments [1:56] and we are also pumped to have two more [1:58] great returning sponsors this season [2:00] stat Sig the world's first product [2:02] acceleration platform that thousands of [2:04] companies from open AI to series a [2:06] startups rely on to ship fast learn more [2:09] and make smart decisions you can find [2:10] out more about them at stats.com [2:12] acquired sounds a lot like meta and [2:16] cruso which is the world's best climate [2:18] aligned AI cloud and data center [2:21] operator that is leading the industrial [2:23] buildout of AI find out more about them [2:25] at cruso a/ acquired as always come to [2:29] discuss this afterwards with us in the [2:31] slack acquired. fm/ slack and if you [2:34] want to be notified when every new [2:36] episode drops sign up at acquired. [2:39] fmil all right one more thing before the [2:42] interview we need to say a huge huge [2:46] thank you to the entire JP Morgan [2:49] payments team for securing the chase [2:51] Center for this for orchestrating the [2:54] entire evening our partnership this year [2:56] has been absolutely incredible and gone [2:58] I think Way Beyond what either of us [3:00] ever could have imagined yeah for those [3:02] who don't know about JP Morgan payments [3:04] they Empower businesses to accept Money [3:06] Hold money send money protect money from [3:08] fraud and gain unique insights from [3:10] money flows to help your company grow [3:13] yep and the payments business [3:14] specifically like most things at JP [3:16] Morgan is the largest and most trusted [3:18] payments provider in the entire world [3:20] they move $1 trillion doar a day that's [3:23] almost 25% of all US dollar payment [3:26] flows in the global economy pretty much [3:28] every single company that we cover on [3:30] acquired works with JP Morgan payments [3:32] in some way you can never outgrow them [3:35] they partner with startups and small [3:36] companies like us like you would be been [3:38] all the way up to the largest [3:39] Enterprises in the Fortune 500 yeah [3:42] we've got more to share about their new [3:43] payments products and Technology this [3:45] season like the pay by face biometric [3:47] payments that we saw live at Chase [3:49] Center yeah that was super cool yep so [3:51] that you can learn which may be the [3:53] right fit to solve your payments [3:54] challenges and grow your business the [3:57] other thing we got to say is like Ben [3:58] and I really worked side by side all [4:01] year with their incredible team to make [4:03] this evening happen and we really got to [4:05] know them Max Umar Dustin Hannah Vinnie [4:08] Nick Amy Carly and so many others it's [4:11] like we were one team you guys rock yeah [4:13] for the first time we actually got to [4:15] experience what it would be like if [4:17] acquired was a large world-class [4:19] organization and not just you know our [4:21] little team and uh what happened at [4:23] Chase Center is really the physical [4:25] embodiment of that thank you guys for [4:27] being the best Partners we could ever [4:28] imagine and a very special shout out to [4:31] Dustin Sedwick JP Morgan payments CMO [4:33] who's a longtime listener of the show [4:36] and a good friend of ours and he's just [4:38] been the driving force behind all of [4:40] this without him Chase Center wouldn't [4:42] happened we're so grateful for our [4:44] incredible relationship with you and all [4:46] of JP Morgan yep so please enjoy our [4:50] conversation with Mark Zuckerberg and to [4:52] take us in the chairman and CEO of JP [4:55] Morgan Chase Jamie Diamond hello [4:58] acquired listeners welcome to the chase [5:00] Center and to acquired live I'm Jamie [5:03] Diamond chairman and CEO of JP Morgan [5:04] Chase and I'm happy to kick off the show [5:06] tonight and welcome all of you to one of [5:08] my favorite Arenas it's been a great [5:10] partnership all year between JP Morgan [5:13] payments and acquired storytelling and [5:15] educating about some of the greatest [5:16] companies in the world for many of them [5:19] just like many of you in the crowd we're [5:21] thrilled to call you friends and [5:23] partners of the firm sorry I couldn't be [5:25] there in person tonight but I hope [5:27] everyone enjoys the show Ben and David [5:29] over [5:30] you mark he it's great to have you here [5:34] it's great to be here you know I was [5:36] watching I was watching Jensen's video [5:39] correcting the record and I was thinking [5:40] to myself we might need to book the next [5:42] one of these for all the things I'm [5:43] going to have to apologize for I'm going [5:45] to say [5:46] tonight n just kidding well uh I don't [5:49] apologize [5:50] [Laughter] [5:52] anymore we've [5:54] noticed well okay wait wait here's the [5:56] question if you knew what you knew today [5:58] what's up if you knew what you know [6:00] today would you have started [6:02] Facebook oh god um I mean look I I think [6:06] coming out hot David I mean wait he [6:08] started it literally I I think there's [6:11] something to Jensen's original sentiment [6:14] which is that the entrepreneurial [6:17] journey is very challenging especially [6:19] the early days when you're running a [6:22] startup and you know there's the sense [6:24] that what you're doing could just die at [6:26] any moment and the volatility everything [6:29] is just going to thrashed so much and [6:31] it's it's not you obviously you look [6:34] back you have all these spond memories [6:35] but it was not the most fun part of the [6:39] journey or you know the part of my life [6:41] that I like wish I could go back and [6:43] relive so I mean I I do think that [6:45] there's something too what Jensen was [6:46] saying that I thought was very honest [6:49] and that when I heard him say it the [6:52] first time I was like yeah I get that [6:55] right it's like I think I I think there [6:56] were like a lot of people for whom you [6:59] know if you knew how [7:02] painful uh it would be along the way you [7:04] wouldn't get started but then you know I [7:06] think that that's one of the things [7:07] that's good about human nature is you [7:10] can underestimate how painful things are [7:12] going to be so that way you can go and [7:13] do good [7:14] things well um on that topic we have a [7:19] lot to talk about yeah I think this is [7:21] actually very appropriate first we have [7:24] to ask you about your shirt and what [7:27] you're wearing yeah you know [7:30] I [7:32] um I started [7:35] uh working with people to design some my [7:38] own clothes and um so I figure you know [7:42] look we're going to design eyewear we're [7:43] going to design other stuff that people [7:45] wear let's get let's get good at this [7:47] and um so so this one I actually I [7:51] worked with this great fashion designer [7:53] Mike [7:54] Amir and um he's got a great story so I [7:57] I I wouldn't be surprised if you're [7:58] doing one of these with him one day um [8:01] and this one is so i' I've I've kind of [8:05] started working on this series [8:07] of shirts with my some of my favorite [8:10] classical sayings on them so this one is [8:13] path Matos uh learning through [8:18] suffering it's a little family saying [8:22] and also [8:25] escalus was uh was that your family [8:27] saying growing up or is that your family [8:29] just my [8:32] sister uh well no let's let's pull that [8:35] thread [8:37] uh no pun intended I promise uh what [8:41] does learning through suffering mean to [8:44] you um well I think you learn what [8:48] matters to you and what's important and [8:50] kind of your place in the world through [8:51] repeatedly hitting your head against [8:53] different challenges and I mean I think [8:56] that that is sort of that's the journey [8:58] right I mean that's the the [8:58] entrepreneurial Journey it's also I [9:00] think part of the beauty of building [9:03] things and [9:06] um but this something that Jensen talks [9:09] a lot about too right it's like I I I [9:10] feel [9:12] like you you know when you go to start a [9:14] company you you everyone kind of writes [9:17] down what they would like their values [9:19] to be but values are not what you write [9:21] down on the wall it's like your lived [9:23] behaviors and you only really learn what [9:26] you care about when you have to make [9:28] hard tra offs and face [9:31] challenges so yeah you learn the most [9:34] important things through facing [9:38] challenges well um speaking of facing [9:41] challenges we want to talk about a [9:43] number of those because I we counted by [9:47] our count I think you have faced more [9:48] existential challenges than any [9:51] meaningful company in history through [9:53] your first 20 years first though it's [9:56] a dubious distinction we we will make [9:59] our case to you of why and enumerate [10:01] them you're still um but first I kind I [10:04] kind of think my you know like that old [10:07] Nike Michael Jordan ad where he's [10:08] talking about how he's failed over and [10:10] over and over again and that's how he [10:11] succeeds that one really resonates with [10:13] me too so um what thanks to you guys I [10:17] got a pair of these this summer um and I [10:22] genuinely love them tell us the story of [10:25] how these came to [10:27] be yeah so [10:31] thanks I'm I'm I'm excited about them [10:34] too so you know we at mea we've been [10:39] building social experiences for 20 years [10:42] now and originally it took the form of a [10:45] website then mobile apps but the thing [10:48] is I I I never thought about us as a [10:50] social media company right we're not a [10:52] social app company we are a a social [10:56] connection company right I mean I I we [10:58] talk about what we're doing as building [10:59] the future of human connection [11:03] and that's not only going to be [11:05] constrained over time to what you can do [11:07] on a phone right on a small screen so [11:11] when you think about you know we got [11:12] started okay we're like a handful of [11:15] kids you know we weren't able we didn't [11:17] have the resources the time to go Define [11:19] whatever the next Computing platform is [11:20] and also you know Facebook originally [11:22] got started around the same time as you [11:24] know a bunch of the early smartphones [11:26] and those platforms got started so we [11:28] didn't really get to play any role in [11:29] developing that [11:30] platform and one of the big themes I [11:34] think for the next chapter of what we do [11:36] is I I want [11:39] to be able to build what I what I think [11:42] are sort of the ideal experiences not [11:44] just what you're allowed to build on [11:47] some platform that someone else built [11:49] but like what is actually if you can [11:51] think from first principles what is the [11:52] ideal social experience so I I think [11:54] what you'd like to have is not a phone [11:57] that you look down at um that kind of [12:00] takes your attention away from the [12:01] things and the people around you you [12:03] know not just a small screen I think [12:05] what you ideally have is [12:07] glasses [12:09] and through the glasses um there's one [12:12] part of it where the glasses you can [12:15] they can see what you see and they can [12:16] hear what you hear and in doing so they [12:18] can be kind of the perfect AI assistant [12:20] for you because they have context on [12:21] what you're doing but then part of that [12:24] is also that the glasses can project [12:28] images basically like Holograms out into [12:30] the world and that way your social [12:33] experiences with other people aren't [12:35] constrained to these little interactions [12:37] you can have on a phone screen you know [12:38] in the in the Noto distant future you [12:40] can imagine um because you guys have [12:44] demoed some of the stuff that that that [12:45] we've done a like a a version of this [12:47] where we're having a conversation like [12:49] this but you know maybe like one of us [12:51] isn't even here they're just like a [12:52] hologram and we have glasses and it [12:54] really there's the question of [12:57] delivering a realistic sense of presence [12:58] there's something magical in the realm [13:00] of building social experiences around [13:02] the feeling of human presence and like [13:05] being there with another person and this [13:08] physical perception right where we're [13:10] very physical beings right people like [13:12] to intellectualize everything but a lot [13:13] of our experience is very physical and [13:15] this physical sense of presence that you [13:17] with another person doing things in the [13:20] physical world is something that you're [13:22] going to be able to do through [13:23] Holograms through glasses um without [13:26] being taken away from you whatever else [13:29] you're doing just kind of have that [13:30] mixed in with the rest of the world um [13:34] it's going to be I think the [13:36] ultimate Digital social experience and I [13:39] think it's also going to be the ultimate [13:42] incarnation of AI because you're going [13:44] to have conversations where it's like [13:46] all right there's some people it's like [13:47] maybe like I'm physically here there's [13:49] like a person you're like a hologram [13:50] there there's an AI that is kind of [13:52] embod as someone is there and the [13:55] glasses will enable this so okay so how [13:57] are we going after this building this [13:58] this is like some some huge project [14:00] we've been working on it for 10 years um [14:05] and there are a lot of different [14:07] challenges to solve to get there there's [14:09] like you have to build a novel display [14:11] stack right it's not these aren't just [14:12] screens like the kind that are in phones [14:15] there's this long lineage they they [14:17] they're connected to the screens that [14:18] have been in TVs and monitors and things [14:20] for a long time there's been this [14:21] massive optimization of the supply chain [14:23] there's like brand new display stacker [14:26] on holographic displays that basically [14:28] need to get created [14:29] and then they need to be put into [14:30] glasses they need to be [14:32] miniaturized and you also in the glasses [14:35] need to fit chips [14:37] microphones um you know speakers cameras [14:41] eye tracking to be able to understand [14:44] what you're doing batteries to make it [14:45] last all [14:47] day new novel RF protocols yeah it's [14:50] it's like okay it's a pretty big [14:51] challenge so we're like all right let's [14:53] go try to go for the big thing right and [14:56] we we've been working on that for a [14:58] while and we're pretty close to being [15:01] able to show off um kind of the first [15:03] prototype that we have of that and I'm [15:05] really excited about that at the same [15:07] time we also came at it from this lens [15:08] of all right so that's like a lot of new [15:11] technology that needs to get developed [15:13] um a lot to pack into a form factor [15:15] because the glasses have to be [15:16] good-looking too so what if we just [15:20] constrain ourselves to like we're going [15:21] to work with a great partner esor luoda [15:24] they make Rayband they make a lot of the [15:26] iconic glasses let's see what we can fit [15:29] into glasses today and make them as [15:31] useful as possible and you know I I [15:35] actually I kind of thought when we were [15:37] getting started with those that it was [15:40] almost like a practice project for like [15:44] for the the ultimate which let's be [15:46] clear that's what you thought Facebook [15:47] was that's true that's true yeah I did [15:50] like for your real startup somay that's [15:52] true yeah no this is let's go on the [15:53] tangent there for a second when when so [15:55] started Facebook in school came out to [15:58] Silicon valy with Dustin and and a [16:01] handful of people working on it at the [16:02] time and we did that because Silicon [16:05] Valley is where all the startups came [16:06] from and I remember we got off the plane [16:08] we were driving down 101 we're like wow [16:10] eBay Yahoo like this is amazing all [16:13] these great companies one day we're [16:15] maybe we'll build a company like this [16:17] and I'd already started Facebook and I [16:19] was like surely the project that we're [16:20] working on now is not a company and [16:22] Facebook had like some scale at this [16:25] point oh no no it was a great project I [16:26] just didn't have the ambition to turn it [16:28] into a company at the time time that [16:29] just kind of happened um but anyway [16:33] um [16:35] uh yeah I [16:37] mean a lot of hard work obviously but [16:39] but it's but I I just at the time I was [16:41] kind of like yeah no I I don't I don't [16:42] think this is it um well that's your [16:45] answer of would you have started you [16:47] actually didn't try to start Facebook I [16:49] didn't know um so yeah so I mean the the [16:51] glasses though you know we thought that [16:53] this was like all right we we want to [16:54] get working with esor luoda so we can [16:56] start building more and more advanced [16:58] glasses and then you know they're really [17:00] good they look good and then AI like the [17:03] massive transformation in [17:05] AI remember for listeners let's just be [17:07] really clear you guys shipped this [17:09] product that I'm [17:11] holding before llms or at least before [17:15] the public Consciousness was aware of [17:18] you know the chat GPT moment and these [17:20] were not manufactured and shipped as an [17:22] AI device that came later when they were [17:25] already in Market yeah a few years ago I [17:28] would have predicted that AR Holograms [17:30] would have been available before kind of [17:33] like full scale Ai and now I think it's [17:36] probably going to be the other order so [17:38] now it's like all right great well this [17:39] is actually a great product because it's [17:41] got It's got the cameras so it can see [17:42] what you see it's got the microphone [17:44] it's got the speakers you can talk to it [17:46] I I remember calling Alex Himel the the [17:48] guy who runs the product group running [17:50] it and I'm like hey you know I I think [17:52] we should probably pivot this and make [17:54] it that um that meta AI is the primary [17:57] feature of it and then like I remember I [17:59] came in the next week and they built a [18:00] prototype of it on Tuesday and it was [18:02] like all right good yeah no this is good [18:03] this is going to be a very successful [18:05] product he told us a much more high [18:07] stakes version of that story he like so [18:09] I was I was on the highway with my kids [18:11] and I get this call on a Saturday from [18:13] Mark and he's like those [18:15] glasses could we put meta AI in them [18:19] running on device and like ship that [18:21] soon so we can see if that's a good idea [18:23] or not yeah that's that tracks that's [18:25] what I just said [18:31] sounds [18:32] [Laughter] [18:34] right okay [18:37] so thank you for opening up with a story [18:40] the question that I would like to try to [18:42] answer tonight is why has meta worked as [18:47] spectacularly well as it has I mean one [18:50] of the most valuable companies in the [18:52] world through multiple iterations [18:53] multiple technology waves fighting off [18:56] you know maybe let's name all the waves [18:59] in which people said oh Facebook and [19:02] meta are so [19:03] screwed and yet that is not the way it [19:06] looks today uh [19:08] Myspace Twitter gen one yep um Instagram [19:14] Snapchat WhatsApp Tik Tock Apple app [19:19] track transparency put in its own whole [19:22] category um and now chat GPT that's nine [19:26] like there is a widely held public [19:28] narrative every every single time [19:30] Snapchat discovers stories or there's [19:32] something where people are like oh the [19:34] cool thing that Facebook the company did [19:37] is just obsolete now and they're going [19:39] to go away you very much haven't gone [19:41] away what do you think is the through [19:43] line of the DNA of the company that [19:45] allows you to keep [19:48] winning [19:50] um I think it's that we're a technology [19:54] company that is focused on human [19:57] connection [19:59] not a specific type of app so like we [20:03] never thought about ourselves as a [20:06] website or a social network or anything [20:08] like that for for me building this kind [20:10] of glasses to enable the future of [20:14] people being able to feel present with [20:16] another person no matter where they [20:17] actually physically are is the natural [20:21] continuation of the kind of apps that we [20:23] build today but it depends on how you [20:25] define what you are and then you need to [20:28] figure out [20:29] well how do you build how do you give [20:30] yourself the competence to actually go [20:32] do that and that's where I think being a [20:34] strong technology company comes in [20:36] because you know a lot of companies I [20:38] think think about themselves too [20:40] narrowly in terms of okay well we're [20:42] this kind of one [20:44] thing and the reason why we can build [20:47] all these things is because we are have [20:50] a really strong technology foundation [20:52] and some of that is just me and how I [20:56] think about stuff and I I was an [20:58] engineer before I got started I mean I [21:00] like mostly took like systems [21:02] engineering type classes when I was in [21:05] college so you you talk about like [21:06] friend dur in Myspace and all the [21:08] scaling challenges they had doing the [21:10] graph calculations of like all right do [21:12] you know this person should you show [21:13] them their P yeah yeah actually can you [21:15] take us back and like we want to ask you [21:16] the story of that time I mean um it [21:19] seems quaint now Friendster Myspace but [21:22] you study computer science graph [21:26] networking social graphs that is a very [21:29] very difficult computation a combination [21:31] of of a a product question and a [21:34] technology question I think you can [21:36] Define the product in a such a general [21:39] way that the technology becomes [21:40] basically impossible to solve um so you [21:43] want to have a smart product definition [21:45] but then you want to be competent and [21:47] better than everyone else at the [21:49] technology and I I think that that's [21:51] something that we've held ourselves to [21:52] and build a good organization around and [21:55] it's it's one of the things that I [21:57] I observe as soon as I came out to the [21:59] valley that all these companies that [22:01] called themselves technology [22:03] companies were not really set up that [22:06] way right it's like the companies I was [22:08] talking about it's like they you know [22:11] they the CEO wasn't technical the board [22:13] of directors had no one technical on it [22:16] they had like one dude on the management [22:18] team who was the head of engineering who [22:19] was Technical and like everyone else [22:21] wasn't it's like all right if that's [22:23] your team then you're not a technology [22:25] company so I I think one of the things [22:28] that I've always always been pretty [22:29] careful about is I I actually like want [22:33] like the a lot of the people on our on [22:35] our management team it's like you know [22:37] split it's mostly people running um [22:39] either these big product groups who come [22:41] up through different technical Pathways [22:42] at the company and I think that there's [22:44] like a balance right it's like you don't [22:45] want everyone to be an engineer because [22:46] there's other things that matter too but [22:48] if you don't have enough of your kind of [22:51] share of the company as engineers then [22:54] you're not a technology company and I [22:55] think that that also is important the [22:59] board and and I think just like in terms [23:01] of how you weigh decisions and [23:03] culturally things inside the company [23:05] matters a lot but but I think that [23:07] that's one of the things that has been [23:09] really fundamental right is like we're [23:11] able to kind of go from platform to [23:14] platform and do these different things [23:15] because we've invested and cared about [23:17] the underlying technology the product [23:19] experiences that we build on top of that [23:21] are an implementation and they matter [23:24] and for that I think we also I think are [23:26] a pretty curious and learning focused [23:28] organiz ation um where you know I view [23:33] the product [23:34] strategy less as any one specific thing [23:38] and more as how do we iterate and learn [23:42] as quickly as possible how to make each [23:45] thing better for for the people we're [23:47] trying to serve right so if like I [23:49] Define our strategies we can learn [23:51] faster than every other company we're [23:53] going to win we're going to build a [23:54] better product than everyone else [23:55] because we're going to get it out first [23:57] or early we're going to uh have a good [24:00] feedback loop we're going to get get a [24:01] bunch of feedback we're going to learn [24:03] what people like better than other [24:04] people and then over time by the time [24:06] you get to you know whether it's version [24:08] three or four or five I mean they're not [24:09] even discreet versions because we you [24:11] ship so frequently it's um you just uh [24:14] you learn faster so I think that's [24:17] basically the formula be a technology [24:19] company build good foundation like learn [24:22] from what what people are are kind of [24:24] focused on in the world and and just [24:26] iterate as quickly as you can you one of [24:28] my research calls to prep for this [24:30] someone uh uh described you as a master [24:33] strategist which like it's we we all [24:36] sort of acknowledge that at this point [24:37] but that the I mean except for like all [24:39] the stuff that I just thought was not [24:40] going to be that important that ended up [24:42] actually being the most important it's [24:45] but but that's the thing is part of it [24:47] is like okay you want to set up the game [24:49] so that way you optimize you create your [24:51] luck this is what Jenson told us like [24:53] the Apple's going to fall from the tree [24:55] in some direction and if you just set up [24:57] the game [24:59] that you have a hand close enough to [25:01] catch [25:02] it the comment that someone made to me [25:04] was the reason Mark is such a good [25:07] strategist is because he he plays the [25:10] company as if it's a turn-based strategy [25:12] game and he just makes sure he gets more [25:14] turns than anybody else and he makes [25:17] sure that he learns more from each turn [25:19] than the next player does do you feel [25:21] like that encapsulates like [25:26] Str but it does kind of feel like the [25:28] way way that you make bets is like I uh [25:30] well if we have great engineering then [25:32] that can kind of take care of the speed [25:34] part that's like you know many [25:36] iterations or multiple at bats and then [25:38] the the well gr engineering and speed [25:41] and iteration are actually two different [25:43] values they're not necessarily at odds [25:45] but I think like there are a lot of [25:47] great engineering organizations that try [25:49] to build things that are super high [25:51] quality and have good competence around [25:53] that but I know there's there's a [25:56] certain personality that goes with kind [25:59] of taking your stuff and putting it out [26:02] there before it's fully polished and [26:04] look I'm not saying that our strategy or [26:07] approach on this is the only one that [26:08] works I think in a lot of ways we're [26:09] like the opposite of apple and clearly [26:12] their stuff has worked really well too [26:13] right but I mean they take this approach [26:15] it's like we're going to take a like a [26:16] long time we're going to polish it we're [26:18] going to put it out um and maybe for the [26:22] stuff that they're doing that works [26:23] maybe that just fits with their culture [26:25] but for us I I think that there are a [26:27] lot of conversations that we have [26:29] internally [26:31] where you're almost at the line of being [26:34] embarrassed about what you put out um [26:37] because you it's you know obviously not [26:40] not in the sense that it's like you know [26:44] you want to you want to put stuff out [26:46] early enough so you can get good [26:48] feedback you obviously want to test [26:50] things that are reasonable hypotheses so [26:52] if it's like so ineffective then you're [26:54] not testing a good hypothesis that [26:56] doesn't work but I I do think a lot of [26:58] the conversations that we have are are [27:00] like okay well we can get this to be a [27:02] lot better if we work on it for like [27:04] another couple of months or whatever and [27:06] and I I I do just think that like you [27:08] want to really have a culture that [27:10] values shipping and and getting things [27:13] out and getting feedback um more than [27:15] needing always to get great positive [27:18] accolades from people when you put stuff [27:20] out because I think like if you want to [27:23] wait until you get praised all the time [27:25] you're missing a bunch of the time when [27:27] you you could have learned a bunch of [27:29] useful stuff and then Incorporated that [27:30] into the next version you were going to [27:32] ship and it's just about making sure [27:34] that the what the thing that the [27:35] company's known for or its brand can [27:37] withstand all the little damage that you [27:39] do to it by shipping stuff that's not [27:41] quite ready well I I would like to hope [27:43] that it's not damaging to the brand um [27:46] but um well but it uh innately it is [27:50] like when you're like oh I feel bad [27:51] because I I shipped a product that [27:52] wasn't good enough you're you're sort of [27:55] yeah no I I don't want to overstate it I [27:56] mean we don't ship things that we think [27:57] are bad but we also don't take we want [28:01] to make sure that we're shipping things [28:03] that that are kind of early enough that [28:05] we can get good feedback to see what [28:07] they're going to be most used for like I [28:08] think a lot of the AI stuff that we're [28:09] building now for example it actually you [28:12] know it's it's pretty clear that AI is [28:14] going to be transformative for a lot of [28:16] different things it is actually less [28:18] clear what are going to be the initial [28:20] use cases for for a lot of these things [28:22] that that are that are super valuable [28:24] and so okay part of it is like okay you [28:26] put something out you want to kind of [28:28] feedback and and what people are [28:29] actually what what it's um you know [28:32] where it's resonating now if if what you [28:34] put out is bad then you're not going to [28:36] collect good data because people aren't [28:37] going to use it for anything because it [28:38] sucks so but but I do think that you you [28:41] have hypotheses for what people might [28:43] really want to use it for and they're [28:45] not all going to be right and you want [28:46] to kind of go early enough on that as as [28:48] more yeah so I'm building to this [28:50] question of uh uh to you is product [28:56] creation [28:58] an act of invention or Discovery like is [29:02] David always inside that marble and you [29:04] just need the very best tooling and [29:07] ability to get things in market and get [29:09] feedback to discover the statue of David [29:12] or do you conceive of David in your head [29:13] and I like I'm going to make this and [29:15] put it in the world does it have to be [29:17] one or the other I mean I think it's a [29:19] combination I think you're basically [29:21] taking some kind of [29:23] values either kind of like values that [29:26] you have or value for something that you [29:28] believe should exist in the world and [29:31] trying to build something that's aligned [29:32] with that while trying to match it up [29:35] with what is is going to resonate the [29:39] most with people right I think if you if [29:42] you just do the latter then I think you [29:44] just don't have enough conviction to see [29:46] through hard things and if you just do [29:49] the former then you probably don't get [29:50] to product Market fit or optimize what [29:52] you do because you're not focused enough [29:54] on your customers so um I think I think [29:58] I think both probably matter [30:01] yeah uh the I'm like as I pour through [30:04] all these historical examples there's uh [30:07] like the market discovers some other [30:09] participant in the Markus discovers the [30:11] stories format and suddenly the whole [30:13] world is like oh my God that is the way [30:16] that we all that's the social [30:17] interaction mechanism and that's like a [30:19] pretty pure Discovery where you have [30:23] products that have stories they perform [30:25] very well uh that's been discovered but [30:28] there's other times it feels like [30:29] everything you're trying to do in [30:30] reality Labs all you know 50 plus [30:32] billion dollars that you've put into it [30:34] is like we're going to freaking will [30:36] this thing into existence because I have [30:38] an idea of the way that I want the world [30:39] to be I'm not really like asking for [30:42] that much feedback I'm putting it in the [30:44] world well it's a combination I I mean I [30:46] I think that there's there's certainly a [30:49] lot of things that we've invented or [30:50] created for the first time I mean like [30:52] in 2006 when we built the first version [30:54] of Newsfeed right the like before that [30:56] social networks were basically profile [30:58] and then we're like hey like people [30:59] actually kind of want to get the updates [31:01] and let's like show them that and if we [31:02] rank them then we can you know there's [31:03] so many updates that this can help [31:04] people parse through that quickly and [31:06] today it's like hard to imagine any [31:09] social product without a feed so I think [31:11] that that's obviously there some of [31:12] these things are sort of [31:15] seminal I don't want to call it an [31:16] invention but like patterns that we that [31:19] we basically established first and then [31:21] some of them are ones that other people [31:23] did where we take pride in learning from [31:27] what is working in in in the in the [31:29] world um you know you know we're not [31:31] embarrassed about learning from things [31:34] that other people like discovered that [31:36] we're good first and and then we build [31:38] the better version of it and [31:41] um I [31:43] mean bam I think that that's you know no [31:47] one company is going to invent [31:48] everything right I think if you don't [31:50] invent anything then it's hard to to [31:52] kind of be a successful company but um [31:55] but I I do think that there's a mix of [31:56] this there are more smart people outside [31:58] of your company than inside your company [32:00] if you're not learning from what's going [32:01] on in the market then you're missing a [32:03] lot of opportunities to get valuable [32:05] signal from from people in the community [32:07] and customers about what they want you [32:08] to be doing which speaks to the thesis [32:12] of Facebook is a technology company um [32:15] Meta Meta is a technology company uh [32:18] we'll get to that later [32:20] um Ben and I have been uh having a [32:24] conversation I want to take this uh to [32:26] open source um [32:28] and open source technology and its [32:30] importance to you and Ben posited first [32:32] to me and then to many other people in [32:34] our calls over the last couple weeks [32:36] that meta has been the [32:40] largest beneficiary of Open Source [32:44] technology in the modern world and I'm [32:46] curious if you would agree with that and [32:49] if you would comment on your [32:51] relationship to open [32:52] source I think almost all of the major [32:55] technology companies at this point are [32:57] primar using open source Stacks so yeah [33:01] I mean I don't we wouldn't have been [33:02] able to get built without open source I [33:04] think probably that's true for any new [33:07] company that's been created since like I [33:10] don't know 19 the late 1990s or [33:13] something um for US Open Source has been [33:17] important and valuable um I mean you [33:20] were the first big company built on the [33:22] lamp stack yeah yeah no and it's it's [33:25] great makes it super easy to develop [33:26] stuff quickly and iterate quick [33:28] but we've also had an interesting [33:29] relationship this with this because [33:31] sequentially as a company we came after [33:33] Google so Google was the first of the [33:36] great companies that built this [33:38] distributed computing infrastructure so [33:40] they came first so they were like all [33:41] right let's keep this proprietary [33:43] because it's a big Advantage for us and [33:45] then we're like all right we need that [33:46] too but we built it and then we're like [33:48] okay not an advantage for us because [33:50] Google already has that so uh we might [33:52] as well just make it open and by making [33:55] it open then you basically get this [33:57] whole community of people building [33:58] around it so you know it wasn't going to [34:00] help us compete with Google for any of [34:02] the stuff that we were doing to have [34:04] that technology but what we were able to [34:06] do with things like open compute were um [34:09] get it to become the industry standard [34:11] so now you have like all these other you [34:13] know cloud service platforms that you [34:15] know basically use open compute and [34:17] because of that the supply chain is [34:19] standard around standardized around our [34:21] designs which means that it's like way [34:23] more Supply way cheaper to produce we've [34:25] saved billions of dollars and the [34:27] quality of the stuff that we get to use [34:29] goes up so all right that's like a [34:30] win-win but I I think in order for this [34:34] to [34:35] work we do a lot of Open Source stuff we [34:37] do a lot of closed Source stuff I'm not [34:39] like a zealot on this um I think open [34:41] source is is very valuable but I also [34:43] think it sort of makes sense for us [34:45] because of our position in the market [34:46] and the same for AI I mean around L okay [34:49] this is where we were going with this [34:51] yeah it's um you know s similar deal um [34:54] you know we want to make sure that we [34:57] have access to a leading AI model right [35:00] I think just like we want to build the [35:02] hardware so that we can build the best [35:04] social experiences for the next 20 years [35:07] I don't think that you know for for us [35:09] it's like we've just been we've been [35:11] through too much stuff with the other [35:12] platforms to to fully depend on on [35:15] anyone else and we're a big enough [35:16] company at this point that like we don't [35:18] have to right we can build our own core [35:21] technology platforms whether that's [35:23] going to be ar glasses or mixed reality [35:26] or AI so I think that's somewhat of an [35:28] imperative for us to to go do that but [35:30] you know these things are not like [35:32] pieces of software that are monolithic [35:34] they're ecosystems they get better when [35:36] other people use them so for us there's [35:39] a huge amount of good and it [35:42] philosophically lines up with where we [35:43] are we're like I mean look I I I [35:46] definitely you know firsthand have a lot [35:47] of experiences we are like trying to [35:49] build stuff on mobile platforms the [35:51] platforms are just like nah you can't [35:52] build that okay uh that's frustrating [35:55] can we take a real quick detour what's [35:57] up I really want to ask you something we [35:58] can we can take a detour okay you took a [36:00] detour we're going to take a detour um [36:02] help us with our research here uh the [36:06] eve of the IPO okay this is a quite a [36:08] detour wait quite a [36:10] detour really grabbing the wheel here is [36:12] this connected or did you just decide [36:14] that it was your turn to [36:16] talk I'm sorry I was like really like [36:19] wound [36:21] up a get back it's to get back to I [36:25] think it's related I do I really [36:26] genuinely do [36:29] Facebook on mobile is HTML 5 uhhuh in [36:33] 201 12 2012 yeah [36:37] yeah I want to ask you what you were [36:40] thinking going into the IPO with [36:42] Facebook on mobile being HTML 5 and what [36:46] happened you IPO at a100 billion doll [36:47] market cap over the next three months [36:50] you have a 50% draw down probably [36:52] because of that um but I I guess the [36:56] related question to what we're talking [36:58] about now is how much is that informing [37:01] your approach here with as it was a [37:04] pretty different different technical [37:06] issue so I mean our Legacy was building [37:09] on web for websites and we were very [37:12] used to building one thing and being [37:14] able to continuously deploy it and it [37:16] fits with our iteration style and all [37:18] that so now all of a sudden this like [37:20] app model comes along and it's like we [37:22] have to build like different ones for [37:24] each phone and like you have to go [37:26] through approve approval to get it [37:28] shipped and we have to wait like weeks [37:30] before it can ship it's like this sucks [37:32] so we're like all right we have an idea [37:34] let's build this platform where we can [37:36] get a web-based platform so you [37:39] basically build a native shell and you [37:40] build this web- based platform in it and [37:43] we'll be able to just update our apps [37:45] every day and we'll ship One Thing Once [37:48] and we'll update our apps across Android [37:50] and iPhone and blackberry and Windows [37:52] mobile and all the stuff that existed at [37:54] the time because it it hadn't gotten [37:56] Consolidated yet and um like that's [37:59] going to be that's we're like basically [38:01] whatever downside we are going to have [38:04] from not having the most native thing [38:05] we're going to make up forign velocity [38:07] and by having like way more of our [38:09] energy focused on one platform well we [38:12] were wrong it turned out that you know [38:15] having the native integration was [38:17] actually critical for having the [38:19] interactions feel good [38:22] and and that so we basically went [38:25] through this period where we had to go [38:26] rewrite our apps scratch and that [38:29] coincided with mobile growing [38:32] dramatically and mobile we didn't have [38:35] any Revenue um because it may seem like [38:38] it's pretty similar but there's a very [38:39] big difference on on desktop you [38:41] basically have the app and you have the [38:43] column on the side that we could put ads [38:46] and on mobile we needed to figure out [38:47] what does it mean to put ads into the [38:51] experience like let's be clear the feed [38:53] ad had not been invented yet like the ad [38:56] the team did yeah and it's and like [38:57] advertisers have like specific formats [38:59] that they like working with and the idea [39:01] that we were just going to be like all [39:02] right now your ad is going to look like [39:03] a feed story was a big challenge for [39:06] advertisers and the idea that now for [39:09] people you were going to have this [39:11] organic feed that was the most important [39:12] part of the product and now we're just [39:13] going to start putting ads in it was a [39:16] challenge for for for the people who [39:18] using the product so we needed to figure [39:21] that out and we need to get the apps to [39:22] be better and we basically took I think [39:26] it must have been like a year or [39:27] something we're just like look we're [39:29] going to pause feature development of [39:30] the [39:31] company because it's hard enough to do a [39:33] rewrite right it's if you you look at [39:35] like the history of the tech industry [39:36] there all these examples like Netscape [39:39] and you know these things that like they [39:40] tried to do a rewrite they needed to [39:42] reestablish their technical platform and [39:44] they also tried to add features they [39:45] basically just like never terminated so [39:47] that's a real risk right when you're [39:49] like like completely changing your [39:51] underlying platform that there you're [39:53] you're going to miss it um it's like all [39:55] right we got to minimize the chance that [39:56] that happens so we're not going to ship [39:58] any new features we're just going to [40:00] rewrite it make it faster um but while [40:04] we're doing [40:05] this like basically Mobile's growing so [40:09] the percent of our traffic that is [40:11] monetizable is shrinking because web is [40:14] basically shrinking and and Mobile's and [40:16] that's your only business model yeah and [40:17] I was like all right like and you're now [40:19] recently you the thing is it was [40:20] actually pretty clear what we needed to [40:22] do yeah I think strategically a lot of [40:24] the time it's [40:26] um it's some much harder to know what to [40:28] do when you're winning like when stuff [40:30] is going well it's like what is the next [40:31] move to like go from winning to winning [40:34] more um but when you're losing it's [40:37] usually pretty clear what you have to do [40:39] and and I think a lot of it is like is [40:41] is just do you have the pain tolerance [40:43] to go do it so a lot of this was like [40:45] all right the team was like okay [40:49] um well we're going public and you know [40:51] it's investors really aren't going to [40:53] like this if we are like not making [40:56] money for a year and a half and it's [40:58] like well a year and a half is short in [41:01] the grand scheme of things let's do this [41:03] and we did it and it was a painful year [41:06] and a half and then we came out of that [41:07] and we were in great shape so I I I [41:09] think like people inside the company had [41:12] felt a lot better sooner because it was [41:14] pretty clear to people that we were [41:16] doing the right thing um and they they [41:19] knew that we were executing it in a [41:20] responsible way um and and basically [41:23] focused and we're doing the right thing [41:25] but I I think it's actually when you [41:27] have something that's working well and [41:30] you're on one local Hill and you need to [41:33] jump to another Hill that's the stuff [41:34] that's really culturally hard um but [41:38] this one I think was it was it was not [41:39] fun there have been a period a series of [41:41] periods throughout the company that were [41:43] not I don't know not not the not the [41:46] most fun periods but um although that [41:48] one in retrospect is you know looks [41:50] pretty good in retrospect it's like not [41:52] that bad it's like your market cap only [41:54] got cut in half for a year and a half [41:56] like [42:00] great great yeah I'll take that um [42:04] anyway where were we well maybe can I so [42:08] can I connect so so David asked hey can [42:09] you help us with with our research can I [42:12] follow that thread that you just said [42:13] hey that that one wasn't so bad um [42:16] there's been a lot of amazing things the [42:19] company has done there's also been like [42:20] a lot of criticism if you were to be [42:22] self-critical of your own company of [42:24] your own creation of all the criticisms [42:27] that have happened over the years which [42:28] do you believe is the most legitimate [42:30] and why I mean there's so many things [42:33] that we've messed up um that there are [42:36] many criticisms that are [42:38] legitimate [42:41] um but if that was a year and a half [42:45] mistake uh I think you know one of the [42:47] things I reflect on over the last like [42:48] 10 years or so was you know the the [42:51] political environment just changed [42:52] dramatically right it's like before 2016 [42:54] there was like not a month that went by [42:56] except for maybe this IPO period where [42:58] the sentiment about the company was [43:00] anything but positive and then after [43:03] 2016 after the election basically there [43:04] was not a month for a while where the [43:06] sentiment about the company was positive [43:09] and we I I think so much of this stuff [43:12] is correctly understanding your place in [43:15] the world and in history and you know so [43:18] I think you know we talked about before [43:19] how it's [43:21] like I I think we understood that we are [43:24] a technology company and that you have [43:26] to be a technology company to build this [43:28] kind of thing um I think we understood [43:30] that we're not a social network company [43:31] we're a human connection company and [43:33] that will take different forms that time [43:36] um the political environment I think I I [43:38] didn't have much sophistication around [43:42] and I think I just fundamentally [43:43] misdiagnose the problem so I I I I think [43:46] that there was this basic Challenge and [43:49] there were a lot of things I don't want [43:50] to simplify this too much I there there [43:51] were a lot of things that we did wrong [43:53] there some things that we did right but [43:54] I think one of the things that I I look [43:56] back on and regret [43:58] is [43:59] um I think we [44:03] accepted other people's view of some of [44:07] the things that you know they were [44:08] asserting that we were doing wrong or [44:10] were responsible for that I don't [44:12] actually think we were and now that's [44:16] it's [44:17] um there were a lot of things we did [44:20] mess up and we needed to fix but I I [44:23] think that there's this view where when [44:26] you're [44:28] and someone says that there's an issue I [44:30] think the right instinct is to like take [44:31] ownership for it right say like okay [44:34] like maybe maybe it's not like maybe [44:36] it's not all our thing but we're going [44:38] to fully own this problem we're going to [44:40] take responsibility for it we're going [44:41] to fix it but when it's a political [44:43] problem I actually think a lot of the [44:46] time sometimes there are people who are [44:48] operating in good faith who who are [44:50] identifying a problem that want [44:51] something to be fixed and there are [44:52] people who are just looking for someone [44:53] to blame and I I think to some degree if [44:58] you if if you take responsibility for [45:01] things because you think it's a [45:03] corporate crisis not a political crisis [45:06] um and your view is like okay I'm like [45:08] I'm going to take responsibility for all [45:09] this stuff like people are basically [45:11] like like blaming social media in the [45:13] tech industry for like all these [45:14] different things in society and if we're [45:16] saying okay we're going to really like [45:18] do our part to go fixes like this stuff [45:20] I know there were a bunch of people who [45:21] just took that and were like oh you're [45:23] taking responsibility for that let me [45:24] like kick you for more stuff and [45:27] and honestly I think we should have been [45:29] firmer about and and clearer about which [45:32] of the things we actually felt like we [45:34] had a part in and which ones we didn't [45:37] and my guess is if the [45:39] IPO was a year and a half mistake I [45:42] think that the political miscalculation [45:45] was a 20-year mistake and I so it [45:47] started in 2016 and I think that we have [45:51] been working super hard to fix a lot of [45:53] issues and to figure out kind of what [45:56] the right tone is for navigating what is [45:58] a very kind of fraught political Dynamic [46:00] across both the country and multiplied [46:02] across all these places around the world [46:04] and I think we've sort of found our [46:06] footing on and like like what what what [46:08] the principles are like where we think [46:10] we need to improve stuff but where um [46:13] you know where people make allegations [46:15] about the impact of the tech industry or [46:17] our company which are just not founded [46:18] in any fact that I think we should push [46:21] back on harder and I think it's going to [46:24] take another 10 years or so for us to [46:26] kind of fully work through that cycle [46:28] before our brand and all of that is back [46:31] to kind of the place that it maybe could [46:34] have been if I hadn't messed that up in [46:35] the first place so but look in the grand [46:38] scheme of things 20 years isn't that bad [46:40] either and we'll get through it um and [46:43] and I think we'll come out stronger um [46:46] but I do think that is one of the kind [46:49] of more interesting critiques that I [46:51] think people get I we get critiques on [46:53] both sides on that there are people who [46:54] don't think we've taken enough [46:55] responsibility but um but I I think [46:57] certainly there's one line of critique [46:59] which is you know you you kind of bought [47:01] into too much of the stuff that you [47:03] shouldn't have and [47:06] um yeah I think it's going to take us a [47:08] long time to dig out of that do do you [47:10] have a reasonable framework at this [47:11] point for like okay here's the stuff [47:13] where I feel like we actually do want to [47:14] take responsibility for it and here's [47:15] the stuff where we're like no that's not [47:17] our [47:18] fault yeah I mean at this point I think [47:20] a lot of the stuff has been [47:22] studied so I mean I don't want to go [47:24] rehash all the different things but um [47:27] but I I think at this point there's been [47:29] like years of academic research on a lot [47:31] of these things and you know part of the [47:32] thing that's challenging is and one of [47:34] the things that we've learned is we [47:35] actually should be trying to support [47:36] more academics and doing more of this [47:37] research ahead of time because like when [47:39] you get to a point where you're being [47:40] kind of accused of something you're not [47:42] super credible just standing up yourself [47:44] and being like I don't think we did this [47:46] one um you know it's like so but what [47:49] has worked over time is like you know [47:51] you do the research in advance and and [47:53] you get kind of third party academics [47:55] respected folks who get get to debate [47:57] all these different issues and then it's [47:59] like oh no actually like the evidence [48:00] just does not show that social media is [48:02] correlated with this kind of harm at all [48:04] so I I I think that like or or it's you [48:07] know so I think that that's um I think [48:10] that that's it's it kind of cuts it cuts [48:11] both ways to me this brings up another [48:14] topic we wanted to talk about with you [48:17] and you just you know you said that's 20 [48:19] years isn't that long um I'm young [48:22] you're you're young uh we all are this [48:25] is the advantage of being a College [48:26] Dropout yeah no it is when you start [48:28] when you're 19 it's like hopefully we [48:29] have more than 20 years left and [48:31] hopefully you have like Buffet duration [48:32] yeah I you know hopefully you set up the [48:36] company in a especially at the time [48:39] truly unique way uh where you can [48:42] operate the company and take that you [48:45] know take that approach um do you mean [48:48] Super voting shares super voting shares [48:50] is like you know the technical aspect [48:52] there I think there are a bunch of [48:53] technical aspects to it that we're not [48:54] going to get into in this conversation [48:56] but L you can take that perspective in a [48:59] way that if you are a CEO non-founder [49:04] you know without a structure that you've [49:05] set up you just can't and I think you [49:07] know in doing all the research for this [49:09] a thesis we've developed is that like [49:12] that is just one of the core fundamental [49:14] advantages that meta has um so as you [49:17] were setting up the company you know [49:18] when you were so young even when you [49:20] went public you were so young like why [49:22] was that so important to [49:25] you well [49:27] in 2006 Yahoo wanted to buy the company [49:30] for a billion dollars and everyone on [49:32] our management team wanted to sell it [49:34] and the board tried to fire me and [49:37] everyone and basically in the next year [49:39] everyone else on the management team [49:40] left because they I hadn't done a good [49:42] job communic I mean I don't want to [49:43] blame them I I like I hadn't done a good [49:45] job communicating the long-term Vision [49:46] because I didn't I wasn't thinking about [49:48] that at the time I like wasn't thinking [49:49] in terms of this as a company I was like [49:51] this is a great project it's awesome [49:53] like a lot of people like what we're [49:54] doing I think this will probably [49:56] continue for a while I think it's going [49:57] to be pretty important in the world um [49:59] but I didn't I didn't like know how to [50:00] think in terms of you know like [50:03] long-term Financial plans or [50:06] um Cas to them why it would be worth [50:09] yeah yeah or or just like look we're [50:11] doing this for the long term we're not [50:12] planning on selling the company so it's [50:13] like without having made that case it [50:15] was understandable that basically Yahoo [50:17] comes around a lot of people it's like [50:19] this is like all their startup dreams [50:20] come true you got to take this offer um [50:23] because I I like I just wasn't in a [50:25] place where I had the sophistication to [50:27] basically articulate a lot of the stuff [50:29] around where we were going longer term [50:33] it probably wasn't super confidence [50:35] inspiring to them when I was like hey I [50:36] think we should turn this down because [50:38] um we're going to do this so um so after [50:42] that I like all right well I don't want [50:44] to get [50:46] fired from my own company for wanting to [50:49] build it so let's uh try to set up a [50:52] governance structure that makes it [50:54] somewhat harder to do that um [50:57] so wow learning through [51:03] suffering wow and being very cash [51:06] generative very early such that you had [51:08] a very real goinging concern on your [51:10] hands and you just didn't didn't need to [51:12] cut off your arm and sell it to someone [51:14] in order to yeah build your business [51:17] yeah like I I think this is a [51:19] fundamentally misunderstood thing about [51:22] oh yeah Facebook the [51:24] startup it is the prototyp startup [51:28] startup you are the ICONic startup [51:30] founder of this century and there's a [51:33] lot of people that want to start a [51:34] startup for a lot of the Glamorous [51:35] reasons of starting a startup [51:38] you hated being a startup and wanted to [51:42] stop being a startup as fast as possible [51:44] and be a like going concern yeah I mean [51:47] I think we're having a lot more fun [51:50] now I get to work on all this stuff it's [51:53] awesome what is your advice to all these [51:55] Founders who sort of ROM ize the idea of [51:58] of starting a company and kind of I [52:00] don't know obviously starting a compan [52:02] is not bad right I mean I think that [52:03] there's different schools of thought on [52:04] how to do it I think some people think [52:06] okay I want to go start a company so I'm [52:08] going to like go dive into this idea and [52:11] I just think that that's a little bit [52:12] dangerous because there's this issue [52:15] which is you have to be able to be [52:17] nimble and pivot around until you can [52:19] like figure out what works right it's I [52:21] mean part of the reason why I didn't [52:22] think Facebook was going to be the [52:23] company early on was cuz when I was in [52:25] school I built like 12 different things [52:27] right that I were just things that I [52:29] wanted to exist and it's like all right [52:30] this is fun okay let's build another [52:32] thing it's like okay this one's fun [52:33] people are still using that I'll like [52:34] help upkeep this one but I had like a [52:36] bunch of other ideas for stuff I was [52:38] going to build too so I just like I [52:39] didn't I didn't like know how to think [52:41] about what a company was going to be and [52:43] and it was so um I think there's [52:46] something about maintaining flexibility [52:48] that's that's helpful um you know once [52:51] you hire a bunch of people you know it's [52:53] a lot easier when you can just have [52:54] meetings in your own head about what [52:56] direction you want to go in um and it's [52:59] like and there's a lot less pride and [53:00] like people dug in when you're just like [53:02] okay I'm going to change direction it's [53:04] like you know people haven't like [53:05] invested their ego in like no we were [53:07] going in this direction and like now I [53:09] must be convinced it's like n just so I [53:11] I I do think that that's a thing where [53:13] you want to like keep things lean and [53:14] and and be able to do that and that's [53:15] one of the reasons why we tried to get [53:16] the company back to being you know [53:18] whatever the leanest version of a large [53:21] company is that we can we can be but um [53:25] but I do think that there's something to [53:26] that where it's like it's obviously it's [53:28] not it's not super fun not having the [53:31] resources to do what you want to do but [53:34] I think it also is problematic to have [53:37] more people working on something than [53:41] you should have for the stage that it's [53:43] at because then the people who are [53:44] working on it don't have the agency to [53:46] actually like make the changes and do [53:47] the things that they need to Which is [53:49] less fun and then you can attract the [53:51] best people to go work on those things [53:52] because it's less fun and so I do think [53:55] you got to you just have to dial it [53:56] right [53:57] you're spending a gajillion dollars on [53:59] reality [54:00] labs and it's a technical term it's not [54:03] making that much money so I'm going to [54:05] I'm going to play mark back to you of [54:07] it's not appropriate to have all these [54:09] people and resources working on things [54:10] for more than the stage warrants I'm [54:12] being a little factious here but I'm [54:14] curious how you why you categorize it [54:16] differently I mean well I think some of [54:18] the stuff by the time you're the scale [54:20] that we're at is also just about like [54:23] what do you want to do over the next 10 [54:25] to 20 years and what do you think are [54:26] going to be important and you know we [54:28] were talking about like making your own [54:29] luck and all that and how you know it's [54:31] like I think there are some broad [54:32] Strokes that we can have a sense of [54:34] where things are going I'm pretty sure [54:35] glasses and kind of like holographic [54:38] presence and AR is going to be a [54:40] completely ubiquitous product right it's [54:43] just like everyone who had a phone [54:44] before replaced it with a smartphone and [54:46] then a lot of more people got [54:47] smartphones if all we get is all the [54:49] people in the world who already have [54:51] glasses upgrading to glasses that have [54:52] ai in them then like this is already [54:55] going to be one of the most successful [54:57] products in the history of the world so [54:59] um and I think it's going to go a lot [55:00] further than that so another there's [55:02] that there is the thing about [55:04] controlling our own destiny um it's [55:07] strategically valuable you know we did [55:08] this calculation or estimate at some [55:10] point where it's like how much money do [55:12] we lose from our CORE family of apps to [55:15] the various like taxes that the [55:18] platforms have to like when they tell us [55:21] we can't run the ad business the way [55:22] that we think we should be able to when [55:24] they tell us we can't ship certain [55:25] products so that way like people use the [55:27] things less or like them less and um I I [55:31] it's hard to exactly estimate it but I [55:33] think we might be like twice as [55:35] profitable if we own the platform or [55:36] something so I think from that [55:38] perspective that's worth a lot just from [55:41] like a pure like dollars perspective [55:43] which is not primarily how I come at [55:45] this stuff but even like now I've [55:47] learned a thing or two since the Yahoo [55:49] days and now I at least am able to like [55:51] like um I might not be able to convince [55:52] the all the investors that we should be [55:54] investing to the extent that we are in [55:55] reality lab if I didn't control the [55:57] company but at least I can sort of [55:58] articulate a case for why I am confident [56:01] that it's going to be good over time but [56:04] for me it's always been way more about [56:06] the product [56:08] experience and what you can enable and [56:11] build and you know one of the shifts and [56:14] this is sort of like a values shift [56:17] um over time is you know one of the [56:19] things that um one some of the early [56:23] Oculus guys used to say to me that 's a [56:26] difference between building good things [56:29] and awesome [56:31] things and and like good is good right [56:35] it's helpful it's useful it's things [56:38] that people use on a day-to-day basis [56:39] because it adds something to their lives [56:42] but awesome is different awesome is [56:45] uplifting and [56:48] inspiring [56:49] and just like leads you to just be way [56:53] more optimistic about the future and and [56:56] is is just like this uplifting thing [56:58] about humanity and so I I think a lot of [57:01] what we've done with social media so far [57:02] is is very good right we've got we've [57:05] built these [57:07] products more than three billion people [57:09] use them on a you know near daily basis [57:13] right it's like it's like 3.3 billion on [57:15] a daily yeah yeah so yeah and so that's [57:19] and they use it because it is useful in [57:21] their life right and in in all these [57:24] different ways I mean obviously people [57:26] people use it for different things but [57:29] it's useful and it helps people and it [57:31] helps people stay connected helps people [57:33] build businesses it helps people form [57:35] communities it's good there aren't that [57:37] many people on a day-to-day basis who [57:39] get out of bed and are like [ __ ] yeah [57:41] social media like that's right I mean [57:43] that's not like um [57:47] so I I kind of think for the next for my [57:49] next stage right for the next stage of [57:51] the company the next like 15 [57:53] years I want us to build more [57:56] things that are awesome in addition to [58:00] things that are good and I think that [58:01] they both matter um [58:04] but to me this is like a little bit of a [58:08] kind of the next stage of what I want [58:09] our company to stand for and be and so I [58:14] think a lot of the reality lab stuff [58:16] that we're doing is going to be in that [58:18] bucket um a lot of the AI stuff that [58:21] we're doing I think is going to be in [58:22] that bucket there are a bunch of things [58:23] in the apps that are going to be in that [58:24] bucket too um um new apps too but [58:29] um but I don't know I think that there's [58:31] there's just something that's like [58:32] fundamentally pretty good about that and [58:34] that's maybe it's also just like where I [58:35] am in my life right I'm I'm like like to [58:38] think I'm young I'm a little older right [58:40] but it's but it's like I I I do think [58:43] that at this [58:44] point know it's not just a meta thing [58:47] also you know in my like personal life a [58:50] lot of what I personally value is doing [58:53] things that are inspiring with people [58:55] who I find inspiring [58:56] all right and now so there's the [58:58] personal version of this it's like I get [58:59] to work on you know interesting science [59:02] problems with like Priscilla and my wife [59:05] and like and a bunch of awesome people [59:08] you know I get to you know design shirts [59:11] with like some of the best fashion [59:13] designers in the world right it's like I [59:15] um statues the sculpture of of my wife [59:19] bring back the Roman tradition of [59:21] Designing sculptures of people you love [59:24] um I'm not at all being [59:26] like no but I mean I think Daniel Aram [59:29] is like a really talented guy and I was [59:31] like that's a person who I'd love to [59:32] work with on something let's go find a [59:35] project you know building you I have one [59:37] of my side projects is you know we have [59:39] this cattle ranch in Kawaii and I'm [59:41] trying to see if we can raise the [59:44] highest quality beef in the world and [59:46] there's like all this stuff it's like [59:47] starts with like it's it's awesome we [59:50] got we got this [59:52] steer Chun he's like he's he's just the [59:57] man he's the man we're having a hard [59:59] time keeping him on the ranch because we [60:03] every time we put him in a steel [60:05] enclosure and he sees a female cow he [60:07] busts through the steel [60:09] enclosure but I feel like that's the [60:11] kind of bull that you want to make the [60:13] highest quality beef in the [60:18] world and we're just working with you [60:20] know trying to do really high quality [60:22] awesome things with awesome people [60:24] that's like if if that's what I get to [60:25] do for the next 15 or 20 years then like [60:30] it's going to be a good 15 or 20 years [60:32] was was there a moment like what changed [60:35] like when did this become your priority [60:36] and why I can't it feels so radical that [60:39] it how could it have possibly been [60:40] gradual or was this just like Mark all [60:43] the time and we just couldn't see the [60:46] real Mark I don't know I I think that [60:49] there might have been something around [60:50] the way the company shifted in [60:52] operations around [60:53] Co I mean it's like the [60:56] Co like all these tech companies went [60:59] remote temporarily and it was an [61:01] interesting period to just [61:03] like get some more time like a step back [61:06] I'm a pretty introverted person and I do [61:07] think [61:10] it's I need to be careful where like I [61:13] get a lot of value and energy and ideas [61:15] from being around other people but I [61:17] also need time with myself and with Co I [61:21] I kind of got that and I it was a time [61:23] of reflection um where I I was able to [61:26] to think about this stuff and we were [61:26] also going through this very [61:28] difficult political time in the country [61:32] and and our company was at the center of [61:33] a lot of those things I think that that [61:35] that was a cause of a bunch of [61:36] reflection and then I think that a bunch [61:38] of the things that we'd spun up earlier [61:41] but it's smaller scale right so the [61:44] reality lab stuff that we started in [61:46] 2014 really um the fair stuff around you [61:52] know fundamental AI research um that [61:56] yeah 2012 13 2012 2013 sometime around [62:00] then these things they they kind of got [62:02] started and they were growing and it was [62:05] it kind of reached this moment which is [62:06] like are we going to double down on this [62:08] and do this or are we going to kind of [62:10] like do this as a hobby I was like no I [62:13] think we should do this right I mean [62:15] this is I think this like this is going [62:17] to be a really important part of what we [62:19] do and we had to make a really important [62:21] set of decisions where we knew was going [62:22] to be really painful you know to [62:26] go double down on those things and build [62:28] out the AI infrastructure that we needed [62:30] to and scale up some of the reality lab [62:32] stuff and I knew that a lot of the [62:34] investors would hate it at least in the [62:36] short term before it's clearly the right [62:39] thing to do [62:41] um the what I didn't know was that at [62:45] the time I thought they were going to [62:46] not like it but I thought it was going [62:49] to be okay because I didn't think there [62:50] was also going to be a recession at the [62:51] same time um so that like really it's [62:54] like I mean look like like you learn who [62:56] you are through challenges right it's [62:58] like we we had like a really you know [63:00] it's like okay like losing half of your [63:02] market cap is is quaint compared to [63:05] losing 80% of your market cap or [63:07] whatever it was right it's um you know [63:09] so [63:12] um but so I mean these are all [63:14] intentional decisions right it's like I [63:16] mean there are a lot of conversations [63:17] that we had which are like should we go [63:19] forward with this [63:21] and the answer that I came out with is [63:23] yes I this is what I believe I think [63:26] this is going to be important for the [63:27] world I think it's going to work over [63:30] time we're no stranger to going through [63:32] painful periods in some ways it makes [63:34] the company better let's do [63:39] it [63:45] well we're we're start we're starting to [63:48] enter uh looking at the clock like [63:51] conclusion lightning round territory [63:54] I've had one like lurking in the back of [63:56] my head it makes sense to me that you [63:59] would Rebrand the company something that [64:01] is not Facebook given how broad the [64:03] family of apps was that you've got let's [64:06] imagine you were going to Rebrand it [64:07] today you've got AI going on you've got [64:10] AR going on you've got VR going on [64:13] um would you pick the name meta if you [64:16] were going to rename the company today I [64:18] like [64:18] [Laughter] [64:20] meta it's a good name you know Finding [64:23] good short [64:24] names I this actually was a thing that [64:27] we talked about for a while because it [64:28] was pretty clear that if Facebook is [64:31] continuing to grow in importance in the [64:32] world which I think a lot of people [64:34] don't appreciate and it's kind of [64:35] mindboggling at the scale that it's at [64:37] but the the others I mean when you know [64:39] we went through a period where it's like [64:40] we had Facebook and a handful of small [64:42] apps and now we have like you know four [64:44] apps that have a billion people or more [64:46] using them you know hopefully in the [64:48] next few years five with threads if that [64:50] continues scaling and [64:54] um this was was a conversation that we [64:56] had a bunch where it's like does it make [64:58] sense for the name of the company to be [65:00] one of the apps as the other apps as [65:02] it's really becoming a family of apps [65:07] and it was important to [65:10] me this was also coinciding with a lot [65:14] of a lot of the challenges that we were [65:16] having right the political brand [65:18] challenges different things and a lot of [65:20] people were proposing that from the [65:22] perspective of running away from the [65:24] Facebook brand right there were like oh [65:26] well like is the does the Facebook brand [65:27] have issues do we need a new brand and I [65:29] was like we don't run away from that [65:31] right it's like like it might make sense [65:34] one day to not have Facebook be the lead [65:37] brand for the company because we do so [65:38] many different things but I'm only going [65:41] to do this when we come up with a brand [65:43] that is going to be a vocative of the [65:45] future that we're trying to build [65:46] because we run towards something we [65:48] don't run away from [65:49] things and when we got to meta then I [65:53] was like all right we're here and it was [65:55] around the time time when we were [65:57] doubling down on the investment and [65:58] where there was all the controversy and [66:00] it's like look like if we're doing this [66:02] we're going to lean into this and we're [66:03] going to do it so let's do it and if I [66:06] were to make the case to you I [66:09] feel the core competency of [66:12] meta is you are able to discover [66:16] products in the world you have great [66:17] ideas you work on them you discover [66:19] interesting products and you mark are [66:21] not someone who wants to Define Yourself [66:24] by anything you you want to have like [66:27] your hands on a bunch of great controls [66:29] and maximize your degrees of freedom see [66:31] where the world's going and then have [66:32] the best freaking spaceship possible to [66:34] go maneuver your way over there yeah it [66:36] seems like I would pick a brand that [66:38] Almost Doesn't pigeon hole me into a [66:40] specific future I might be looking for [66:43] something that's more like look I I want [66:45] to maximize my [66:48] maneuverability [66:50] yeah I get it um but [66:56] I don't know that's just I [66:58] I we align around a vision and a mission [67:01] of what we're trying to do and we run [67:02] towards it that's always been how we've [67:04] operated yeah and in many ways doing [67:06] what I just suggested would kind of be [67:08] running it's like well we don't believe [67:09] in it that much and you're like no yeah [67:11] no I I mean we're a company that like [67:13] puts a flag down around what we're doing [67:15] and we're going to go do it it's like [67:17] put a wall in front of us there's going [67:18] to be a mark- shaped hole in the [67:21] [Laughter] [67:24] wall uh [67:26] speaking of lightning rounds and Mark [67:27] shaped holes [67:29] um you are accelerating what used to be [67:33] your annual challenges I always I mean [67:35] when when we were all kids uh and we [67:38] didn't know each other I mean I was so [67:40] inspired you would do your annual [67:42] challenges you would post about them and [67:44] I was like wow that's like pretty damn [67:46] cool and then we all get a little older [67:49] and we all have kids on the stage now [67:52] and we all have companies on the stage [67:55] now and there's some large some small [67:57] the demands on your time like it for me [68:00] especially I think lots of people that's [68:02] like that space gets sucked and you have [68:06] expanded [68:07] it [68:10] how what do you mean well you used to do [68:13] annual challenges and I feel like you're [68:14] now doing weekly chall you're designing [68:16] t-shirts you're making sculptures you're [68:19] I just like I'm trying to trying to do [68:20] inspiring things I mean it's yeah I [68:23] don't know um [68:27] I'm also really [68:30] competitive who's your competition for [68:33] this what do you mean oh I was just [68:35] thinking about Pro about other things [68:36] that I'm doing I'm like what have I what [68:37] have I started doing I like got into all [68:40] these like more extreme sports and [68:42] fighting and stuff and like I don't know [68:45] I mean there's there's we Face a lot of [68:47] competition and a lot of different [68:49] aspects of what we do um so I mean [68:51] there's the social media competitors [68:53] there's the platform competitors I think [68:55] apple is a bigger competitor Than People [68:56] realize they kind of think hey they're [68:58] doing a different type of thing but I [69:01] don't know I think over the next 10 15 [69:04] years I I think that kind of like battle [69:07] over ideological battle over what should [69:10] the architecture be of the next set of [69:12] platforms are they going to be the [69:14] closed integrated Apple model that Apple [69:17] has always done which again I mean like [69:20] there's [69:21] multiple there are multiple good ways to [69:23] build things right so I think if you [69:26] look at the different generations of [69:28] computing [69:30] um PCS mobile they've all had sort of a [69:33] closed integrated version and an open [69:37] version and the thing that I think [69:40] there's just a ton of recency bias [69:41] around is because iPhone basically [69:45] W you know I know that there are more [69:47] Android phones out there but I mean but [69:49] iPhone is sort of like the intellectual [69:50] leader and by far like has all the let's [69:53] take it as a conce yeah um [69:56] I think that there's the recency bias [69:57] and probably like almost everyone here [69:58] has an iPhone and right I think because [70:01] of the recency bias there's sort of this [70:03] view that's like oh no this is just the [70:04] superior way to do things but I I I [70:07] don't actually think that's a given [70:08] right in the PC era windows with the [70:11] open ecosystem was the leader and part [70:15] of my goal for the next 10 15 years the [70:19] next generation of platforms is to build [70:21] the next generation of open platforms [70:23] and have the open platforms win [70:26] and I think that that's going to lead to [70:27] a much more vibrant tech industry now [70:29] there are advantages of of doing a Clos [70:33] an integrated model I think Apple will [70:35] have a place for sure I expect them to [70:37] be our primary competitor and I think it [70:39] will not [70:40] be just a product competition I think [70:43] it's like a in some ways very deeply [70:45] values driven and ideological [70:47] competition around what the future of [70:49] the tech industry should be and you know [70:51] how open these platforms whether it's [70:54] things like llama and AI ey or um the [70:57] glasses or different things should be [70:59] for developers like an individual [71:01] someone getting started in their dorm [71:02] room like me to not have to ask for [71:04] permission to go build the next set of [71:07] awesome [71:08] things I've got a closing question [71:11] here please thank [71:14] you so so we have a lot of builders in [71:17] the audience tonight a lot of [71:19] Founders uh were in probably the most [71:23] interesting technology environments [71:25] since the early mobile days in terms of [71:29] opportunity it's been 20 years you might [71:32] have to go back a little bit but what [71:33] advice do you have for Founders today on [71:35] something that's different than trying [71:37] to pattern match Mark Zuckerberg from [71:40] 2004 given we live in a different world [71:43] today yeah I don't know I mean just do [71:46] something that you care about [71:49] and and I mean if you're trying to run [71:52] our strategy try to learn as quickly as [71:53] you can but but I mean if there's like I [71:56] think part of what I'm trying to say [71:58] is I think there are different ways to [72:00] build stuff right it's like our way [72:02] worked for [72:03] me an art team you know it's different [72:07] things have clearly worked for other [72:11] companies I don't know one one day my [72:15] daughter went to we went to took her to [72:16] a Taylor Swift concert [72:18] and she she was like you know Dad I kind [72:22] of want to be like Taylor Swift when I [72:23] grew up h yeah I was like you you but [72:26] you can't that's not available to [72:30] you I was like but and she and she [72:32] thought about it and she's like all [72:34] right when I grow up I want people to [72:36] want to be like August Chan [72:40] Zuckerberg and I was like hell yeah hell [72:44] yeah so I I think that that's [72:48] um yeah I don't know I think it's like [72:51] look learn from other [72:52] people's successes and failures but Do [72:55] Your Own [72:56] Thing love that love that well [73:01] well that is the perfect place to leave [73:04] things um we made you something that you [73:09] already have a very amazing [73:11] well-designed shirt uh I hope you have [73:14] room in your life for more than one I I [73:15] do you know I used to only wear one type [73:18] of shirt now I've moved [73:22] on so David and I made you a cust one of [73:26] one shirt that represents tonight thank [73:33] you it is size [73:35] Zuck so no one else can you know there's [73:39] they can never be made again and we've [73:41] got these coordinates on the back the [73:43] first one GPS coordinates GPS [73:44] coordinates the first one represents [73:46] Kirkland house where you wrote the first [73:48] line of code for Facebook and the second [73:51] one is Chase Center awesome so thank you [73:53] for joining us here tonight for joining [73:54] us [73:57] wow what a night absolutely crazy I mean [74:01] Mark has done many interviews this year [74:03] both with other podcasts and in in [74:05] traditional press but that felt [74:07] different if for no other reason than it [74:09] happened live in front of a 6,000 person [74:11] audience in an arena but I wasn't [74:13] expecting it to feel that different yeah [74:16] I mean it was I think the wildest [74:19] experience of my life being up [74:21] there I I don't even know what else [74:23] could compare pretty insane [74:25] well listeners as you may have noticed [74:27] thanks to our sponsors this conversation [74:29] was uninterrupted and we do want to [74:33] reflect a little bit and share some of [74:35] our thoughts and our you know how we're [74:37] feeling looking back on this [74:38] conversation with you but first we do [74:40] want to share a word on stat Sig and [74:43] cruso so stat Sig so Mark's most famous [74:46] catchphrase is probably move fast and [74:49] break things but like we talked about [74:51] with him despite instilling this in [74:52] Facebook's engineering culture Facebook [74:55] doesn't actually break very often how [74:58] certainly not anymore and really [75:00] relative to its peers not even [75:01] throughout its past y Facebook invested [75:04] hundreds of thousands of engineering [75:06] hours in a set of internal tools these [75:09] tools let any engineer set up new [75:11] metrics ship new features and measure [75:13] performance in real time that means [75:16] anyone could just ship a new feature but [75:19] they always had metrics to use as guard [75:21] rails and they could always roll back a [75:22] feature if anything broke oh man there [75:25] are legendary stories of Engineers [75:27] shipping features like in their first [75:29] week at boot camp as interns or new [75:31] hires at Facebook and meta over the [75:33] years and you might wish that you could [75:36] do the same on your team and build [75:38] products like they build products at [75:39] Facebook ship fast make database [75:41] decisions iterate rapidly but you need [75:44] the right tools so you're stuck right [75:46] well enter stat Sig stat Sig has built [75:49] the world's first product acceleration [75:51] platform combining tools like feature [75:53] Flags product Analytics experimentation [75:56] and observability all in one place [75:57] helping you move faster and make smarter [75:59] decisions even better stat Sig was [76:02] literally founded by an xmeta team who [76:05] wanted to help everyone build like the [76:06] best and bring these same tools to the [76:08] market today many of the world's leading [76:10] tech companies rely on stats Sig [76:12] including open AI Microsoft notion [76:14] anthropic figma plus thousands of early [76:17] stage startups David every time we work [76:19] with stat Sig this list gets more and [76:20] more impressive like now it is purely [76:23] you know A-list companies it's awesome [76:26] so if you're ready to accelerate your [76:27] growth and democratize product building [76:29] at your company go to stats.com Acquired [76:32] and when you get in touch just tell them [76:33] that Ben and David sent you thanks St [76:36] and now for cruso cruso is a climate [76:38] aligned Cloud platform built [76:40] specifically for AI workloads and [76:42] powered by Clean energy they build and [76:44] operate GPU data centers powered by [76:46] lowcost stranded energy that otherwise [76:48] goes to waste or Worse gets emitted as [76:51] greenhouse gases it's crazy when [76:53] acquired first started working with [76:54] cruso this was a cool idea now they're [76:57] like one of the most important companies [76:58] in the world with an AI Cloud that's [77:00] superior to the hyperscalers and a whole [77:02] bunch of the largest companies in the [77:04] world trusting their AI infrastructure [77:06] to them yeah it's easy to think about AI [77:08] as like oh that's a bunch of phds at [77:10] meta or open AI or anthropic or whatever [77:13] you know tinkering with model weights in [77:14] their office and hitting compute but [77:16] there's this whole other industrial side [77:19] of AI That's everything that happens [77:21] after you press go on the model training [77:23] and that's energy cooling construction [77:26] all the physical infrastructure behind [77:27] Ai and cruso is powering that by [77:29] producing or repurposing huge amounts of [77:32] power we are talking gigawatts in their [77:34] development pipeline which is nuclear [77:36] reactor amounts of power for less cost [77:39] than other providers and with zero or in [77:41] some cases actually negative emissions [77:43] it's super important if you listen to [77:45] Zuck and others talk about what the [77:47] bottleneck to AI progress is it's [77:49] actually not compute but energy and [77:51] cruso is solving that problem it's just [77:54] an awesome aome company we are super [77:56] proud to work with them and to be [77:57] investors in the company you can work [77:59] with cruso either through their managed [78:01] AI Cloud which is great for startups and [78:03] Enterprises who want a complete end to [78:05] end platform for AI or directly as a [78:07] data center customer which several of [78:10] the largest companies in the world are [78:11] now doing so just going over to cruso [78:14] doai acquired that's C [78:19] o./ acquired or click the link in the [78:21] show notes and tell them that Ben and [78:23] David sent you okay so David Reflections [78:26] on this conversation the biggest thing [78:30] that I kept thinking going into the [78:32] night as we're talking with Mark as [78:34] we're talking with his team you know [78:35] people kept saying we don't really do [78:37] this Mark doesn't really do this and I [78:39] kept thinking yeah he kind of does [78:40] because he's done all these podcasts [78:41] this year and he does Facebook meta [78:43] connect like he's done big events before [78:45] of course right and he does a good [78:47] number of in-person press interviews too [78:49] it's not like he doesn't talk to the [78:50] traditional press even though that has [78:52] kind of become a narrative it's not [78:54] really true [78:55] however Mark has not done an external [78:59] several [79:00] thousanders live thing like this this is [79:03] a very unusual format and kind of an [79:06] uncomfortable one even for you and I [79:08] like we're so used to stopping starting [79:10] being thoughtful in our answers and like [79:11] this is a show you're performing there [79:13] are no breaks there's no retakes yeah [79:16] right but Mark and like all the meta [79:18] exex really embraced it a bunch of the [79:21] executive team came like they took off [79:23] this whole day and actually some stuff [79:25] we did the night before too a bunch of [79:26] the board members were there a lot of [79:28] people important to Mark were there his [79:30] family came they made it an event right [79:33] I thought this was a big deal for us I [79:34] was kind of shocked to the degree that [79:36] Mark also thought it was a big deal for [79:38] him which is super cool totally agree [79:41] that's one I was also surprised and [79:43] delighted that he was willing to dive [79:46] into history with us yes we totally did [79:48] not expect that he's so like usually so [79:51] maniacally focused on the future and in [79:53] our conversations to prep with him [79:56] before the event he was like I think of [79:58] you guys as a History Podcast you know [80:01] let's talk about the future I'm like [80:02] okay okay but we want to grounded in [80:04] history and he showed up and was totally [80:06] ready to go back and I think that made [80:07] the talking about the present and the [80:09] future even better totally because you [80:11] could create these through lines I mean [80:12] as funny as your interjection on let's [80:14] go back to the IPO moment was it opened [80:16] up the door to have like these [80:18] comparative moments to is what meta [80:21] doing today is that similar to something [80:24] you've done over and over should we be [80:26] watching for a pattern here or are you [80:28] very different today than you were [80:29] historically the way that he was talking [80:31] about that stuff on stage felt very [80:35] authentic and uh I just haven't heard [80:38] him speak in that way before at least [80:40] publicly I think it was also a great way [80:42] to let us all get a window into his [80:45] psyche which kind of brings us to [80:48] another point which is like he is still [80:50] in it oh what other founders of [80:54] companies like that I mean there's [80:56] Jensen who else you know it's the two of [80:59] them yeah I think the Casual Observer to [81:02] meow might observe like you know Mark's [81:04] been running it for 20 years and most of [81:06] the time these Founders kind of like go [81:07] and do something else they become [81:09] executive chairman or they like stepped [81:10] into a board roll or they own 4% of the [81:13] companies there's some pattern there and [81:16] for Mark I think it was plain as day on [81:18] stage uh he is more in it than ever and [81:21] I don't think he thinks he's like [81:23] halfway through his journey like I don't [81:25] think he's 20 years in at 40 I'll be [81:27] done I don't get that sense either I [81:30] think meta is his vehicle by which he [81:33] wants to live his entire life and he [81:36] wants to make things with this group of [81:38] people that he wants to make period and [81:41] that is kind of the product strategy I [81:44] got chills when he said the 20-year [81:46] mistake and then I got even more chills [81:49] when he said but 20 years actually isn't [81:51] that [81:53] long yeah it's a pretty illustrative [81:55] comment totally I was appreciative that [81:58] he engaged with us on the be critical of [82:00] the company cuz honestly I was asking [82:02] that as research for when we inevitably [82:04] do our meta episode I think he gave us a [82:07] regret not a criticism but we were live [82:09] on stage in front of 6,000 people and [82:11] it's it's not really the right format [82:13] for that yep totally that said obviously [82:16] a very interesting answer I think [82:17] related though back to the he's still in [82:19] it in some sense reality Labs you could [82:24] look at at like his blue origin 100% [82:27] it's just within meta I'm glad you [82:29] caught this too other big Tech CEO [82:34] Founders have their moment running the [82:36] company they take a board roll they go [82:39] do another thing and oftentimes it's big [82:41] and important for the world and capital [82:43] intensive and Mark is doing that but [82:45] inside meta with reality Labs I think [82:48] it'll be super fascinating 20 to 50 [82:50] years from it out to reflect back and [82:52] say what were the unintended or perhaps [82:54] intended outcomes of co-mingling [82:57] multiple huge swings under one corporate [83:00] umbrella versus having people who are [83:02] either CEO of multiple companies [83:03] concurrently or you know step down from [83:05] one to run the other for Mark I kind of [83:08] feel like again meta is his vehicle for [83:12] executing the things that he thinks are [83:14] awesome products and of course it's not [83:16] just awesome products but like things [83:18] that could let him have more control [83:21] over his Universe he's clearly a guy who [83:23] who values use uh having a lot of [83:26] degrees of freedom and and doesn't like [83:27] being boxed in I loved your uh [83:29] turn-based strategy game of get more [83:32] turns learn more on each turn like oh [83:35] man Starcraft Pro Player 101 there yes [83:38] but it'll be interesting to see the the [83:40] knock on effects of having reality labs [83:42] in The Meta organization versus as a new [83:44] Venture totally all of that brings me to [83:48] you know frankly just my biggest [83:49] overwhelming takeaway from the whole [83:51] experience which is Ben you've developed [83:55] a really great research interview [83:58] question that you use on all the sources [84:00] that we talk to now which is you ask [84:03] what is the one thing that is most [84:05] misunderstood about this company this [84:07] organization Etc and everybody at meta [84:11] for years always would say Mark and I [84:15] never totally got it until this evening [84:19] he's both a singular individual himself [84:21] but it's not just that it's that [84:25] a true superpower of the company is that [84:27] it is architected from top to bottom [84:31] legally financially [84:34] organizationally culturally culturally [84:37] to reflect and amplify his immense [84:41] strength which I think is probably true [84:45] of like apple Steve Jobs Bill Gates [84:48] Microsoft Nvidia Jensen yes but we are [84:52] right up close to the ways in which [84:54] meta is a sort of an amplifier almost [84:57] like it's a way for you to take the gain [85:00] on Mark's output and turn it up you know [85:03] 10,000x yes and I think what was so [85:06] striking about it to me versus you're [85:07] absolutely right all those other [85:08] companies it is generally accepted in [85:11] the public narrative about Apple under [85:13] Steve Jobs about Nvidia under Jensen [85:16] that that is the case I don't think it [85:18] is about meta and Mark I don't think [85:19] people understand that I didn't [85:21] understand that until this experience [85:23] are you saying meta is still very much [85:24] on Mark Zuckerberg [85:26] production I'll see myself [85:29] out well put there we go uh well [85:32] listeners thank you so much for joining [85:34] us on this journey come talk about it [85:36] with us in the slack acquired. FMS slack [85:40] would love to hear all of your thoughts [85:41] as well join our email list acquired. [85:44] fmil that will let you basically know [85:47] every single time a new episode drops or [85:50] when we are doing something like Chase [85:51] Center again to be the first to know [85:53] about that God if we ever do something [85:55] like that again we've got a merch store [85:57] check it out on acquired. FM we've got [85:59] aq2 our second show where we are always [86:03] interviewing earlier stage companies [86:05] than meta but where we think there are [86:07] great insightful conversations with [86:09] Founders and CEOs and David I know [86:11] you've got some thank yous one last [86:13] thing final thank yous thank you to mark [86:16] thank you to basically the entire meta [86:18] executive team who helped with the [86:19] evening thank you to Hermes for dressing [86:22] us which was my favorite Easter of the [86:24] night yes so fun thank you to Jamie [86:27] Diamond JP Morgan Chase and JP Morgan [86:29] payments for making it all possible it [86:30] was truly a dream come true and that is [86:32] because of our incredible partnership [86:35] indeed it was well [86:37] listeners we'll see you next time yes in [86:40] a couple of weeks with the full show we [86:42] were pumped to drop it we'll see you [86:44] next time who got the [86:47] truth is it you is it you is it you who [86:50] got the truth now huh [86:54] [Music]