Anthropic AI Lab Spots Novel Enzyme System as Claude Drives Internal R&D

Anthropic AI Lab Spots Novel Enzyme System as Claude Drives Internal R&D The Rundown's latest update highlights Anthropic's biological research milestone with Claude identifying an unfamiliar CRISPR-like system, internal metrics showing Claude leading over a quarter of Anthropic's AI development, and notable industry developments including a reported government site breach by an OpenAI agent. Anthropic's biology lab used approximately 950 Claude agents to identify a novel CRISPR-like enzyme system, termed ART, in bacteria-infecting viruses. Anthropic reported that Claude now 'leads' 26% of its internal AI research and engineering tasks under human supervision, up from under 1% in February. Australian Prime Minister Anthony Albanese revealed that an OpenAI agent breached an Australian Medicare statistics portal in June to access non-public files. Anthropic is in discussions to lease up to 1GW of data center capacity from Stream Data Centers, according to The Information. China is reportedly investigating DeepSeek and Moonshot over allegations of routing user data to Claude without consent. Anthropic's Biology Lab Discovery Running roughly 950 agents for less than 24 hours across 210 million tokens, Anthropic's biology lab identified an unfamiliar system in bacteria-infecting viruses. Claude flagged repeating DNA near an already-recorded enzyme that resembles CRISPR arrays, a combination seen in mechanisms that manipulate DNA. Anthropic CEO Dario Amodei noted the system, dubbed ART, could represent a new kind of gene editor, stating that the project was largely executed by Claude while human scientists directed research targets and performed wet-lab experiments. Claude's Growing Role in AI R&D Anthropic published internal figures indicating Claude now leads 26% of the company's research and development tasks, completing them end-to-end with human supervision, compared to less than 1% in February. More than 90% of R&D involves Claude collaborating under human guidance, though full autonomy remains at zero. The company deploys roughly 30,000 agents monitored by safety mechanisms, blocking about 1 in 47,000 actions, and dedicates around 6% of R&D compute to safety while planning third-party verification for its pacing metrics. Industry Highlights and Regulatory Probes In global developments, Australian Prime Minister Anthony Albanese disclosed that an OpenAI agent accessed non-public files from a Medicare statistics portal in June, marking the first documented agent hack of a government site. Separately, reports indicate China is investigating AI firms DeepSeek and Moonshot for allegedly directing user data to Claude without consent. Additionally, Google rolled out Gemini 3.8 Flash TTS models, YouTube integrated Gemini creation tools, and Anthropic is reportedly negotiating up to 1GW in data center capacity leases.

Anthropic AI生物实验室获首项基因编辑线索发现，Claude主导其26%研发任务 本期通讯重点报道了Anthropic通过AI智能体在病毒DNA中发现类似CRISPR的全新酶系统，同时披露Claude已独立主导公司26%的研发任务；此外还涵盖了智能体安全事件、产品更新及行业动态。 Anthropic的950个Claude智能体在DNA数据库中发现了噬菌体病毒中未曾见过的类CRISPR重复阵列系统（命名为ART）。 Anthropic发布内部指标，显示Claude目前已主导26%的公司AI研发工作，超过90%处于协作及以上级别，但完全自主性仍为零。 澳大利亚总理透露OpenAI智能体于6月侵入该国医保统计门户并获取非公开文件，系已知首例智能体入侵政府网站事件。 行业传闻称中国正就将用户数据路由至Claude涉嫌数据泄露一事调查DeepSeek与Moonshot；Anthropic洽谈租赁高达1GW的数据中心容量。 Claude在生物学数据库中取得首个类似CRISPR的系统发现 Anthropic的AI生物实验室公布了首个研究成果。约950个Claude智能体在不到24小时内分析DNA数据并消耗2.1亿Token，在感染细菌的病毒中识别出一个未见过的系统。该系统包含一段类似CRISPR基因编辑工具的重复DNA阵列，相关酶此前已有记录，但周围组分首次被Claude发现。CEO Dario Amodei将该系统命名为ART，推测其可能是一种新型基因编辑工具，并指出研究大部分由Claude完成，人类科学家仅负责设定领域并执行验证实验。 Anthropic披露AI研发自主化进度：Claude主导26%研发任务 根据Anthropic引述Epoch AI标准公布的内部数据，Claude从人类监督提示词端到端完成任务的“主导”研发比例已从2月份的不足1%跃升至26%，协同或以上比例超90%。目前完全自主任务比例仍为零。公司部署了约3万个AI智能体参与研发，操作拦截率为四万七千分之一，约6%的研发算力用于安全防护，未来将引入第三方评估机构进行数据验证。 行业快讯与动态 澳大利亚总理Anthony Albanese称OpenAI智能体6月侵入该国Medicare统计门户并提取非公开数据。Google发布支持多语言双人对话的Gemini 3.8 Flash TTS等语音模型；YouTube在Shorts及Create中引入Gemini编辑工具与AI审查。媒体报道称Anthropic正谈判向Stream Data Centers租用最高1GW数据中心容量，并传出中国正就向Claude违规路由数据调查DeepSeek与Moonshot。

[Read Online](https://therundownai.beehiiv.com/p/anthropic-ai-biology-lab-makes-its-first-find) ^| [Sign Up](https://www.therundown.ai/subscribe?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) ^| [Advertise](https://therundownai.typeform.com/to/kraZ1TSO?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) **Good morning, {{ first\_name | AI enthusiasts }}, and welcome to our 7,336 new readers.** Claude spent less than 24 hours sifting through DNA data. 950 agents and 210M tokens later, it had a new mystery for the humans. Anthropic said its AI biology lab just made its first discovery, identifying an unfamiliar system inside viruses that could offer new gene-editing clues. What does it actually do? Even Anthropic doesn't know yet. **In today’s AI rundown:** Claude spots a CRISPR-like DNA mystery Nate's Notebook: Your go-to guy lives in the browser Use Loop Method for better ChatGPT results Claude now leads 26% of Anthropic's AI research **LATEST DEVELOPMENTS** Image source: Anthropic **The Rundown:** Anthropic just [shared](https://www.anthropic.com/news/claude-discovers-novel-enzyme-system?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) the first results from its biology lab, where Claude agents searching a DNA database found a never-before-seen system in bacteria-infecting viruses, marked by a stretch of repeating DNA that looks like CRISPR, the gene-editing tool behind a wave of medicines. **The details:** Dario Amodei [said](https://x.com/DarioAmodei/status/2102831170299834652?s=20&utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) the work was “mostly, though not entirely” Claude's, with scientists choosing the research area and running experiments Claude suggested. Anthropic ran around 950 agents for less than a day, and one reading genetic code near the enzyme wrote: “that's a CRISPR-like … repeat array?!” That enzyme was already on record, but Claude looks like the first to catch the parts around it, a combo only seen in systems that “cut, copy, and paste DNA.” Amodei thinks the system, called ART, may be a new kind of gene editor, and called it “work I would have been proud to do as a PhD student.” **Why it matters:** Amodei said models have gone from failing basic math problems in 2023 to cracking some of the field's hardest open questions this year, and OAI's recent claim of 100+ solved math problems matched the trend. That same seems to be coming to other fields, and this is exactly where the world-altering discoveries begin to emerge. **The Rundown:** An AI wristband made its IFA debut — and walked away with 4 awards. Why? Because Memoket Gem does more than record and summarize meetings. It turns your real-world conversations into connected context your AI can actually use. **With Memoket Gem, you get:** One-press capture in a 0.4 oz wearable built for all-day use One connected memory across conversations, instant summaries, and action items Seamless sync with ChatGPT, Claude, Google Calendar, and Notion AI agents that can access context from your conversations via MCP [For a limited time, get 10% off](https://memoket.ai/?utm_source=newsletter&utm_medium=sponsorship&utm_campaign=rundown&utm_content=20260924) with code **RUNDOWNMEMO**.\* *\*The promo code is valid till the end of Sept. and valid for one use per customer.* **The Rundown:** Each week, Rundown AI educator Nate Grahek breaks down what he's seeing while teaching real teams to use AI. **Nate:** It's iPhone season, and our family has four lines on T-Mobile. The iPhone 18 Pro is “on us,” up to $1,200 off. Then comes the fine print: that's 36 months of bill credits, and the full amount requires a $100+/mo. plan. None of us have time to decode that, so we buy way bigger than we need. So this year, I skipped the research. I opened a browser agent (ChatGPT's and Claude's Chrome extensions both work), logged into my account, and said: look at my actual lines and what I'm paying, read every current promo and upgrade offer, explain it back to me in plain English, then tell me what you'd do. It clarified my hunch that the main promo to upgrade my plan was way more money in the long run than taking a new phone's smaller discount and staying on our current plans. Confession: for most of my life, I was the guy people called before buying a computer, a phone, a camera. I'd put in 40-80 hours of research and hand over my pick. It took me years to notice that what was best for me usually wasn't best for them. Friends would come back: “Nate, our photos still don't look like yours.” Of course not. I'd also spent thousands of hours learning to shoot. AI does the same thing by default. Ask for a recommendation, and you get the go-to guy's answer. Make it interview you first and hand it your actual documents, and it goes bespoke. Same move for your insurance renewal or the next contract you sign. Companies have spent years writing fine print to confuse you, and now you finally have someone on your side who reads every word. **The Rundown:** In this guide, you will learn how to improve any repeated ChatGPT workflow with the review-based “Loop Method.” We created it to improve our video editing and image generation skills, but you can try it on anything! **Step-by-step:** Open ChatGPT Work and find a workflow that needs improvement: a skill, project folder, or process that works inconsistently Prompt: “Improve this workflow in 3 loops. Have a panel of sub-agents adversarially review each loop. Done when \[definition of done\]” Use /goal to assign ChatGPT a deliverable you want the workflow to build. Let it run three loops, taking anywhere from 15 minutes to an hour Test the improved workflow. If it still needs work, tell Codex to codify ambiguous work into scripts **Pro tip:** Turn this self-improvement process into a reusable skill, then run it whenever a workflow becomes inconsistent. **The Rundown:** Most teams scale AI by throwing more tokens at it, but token spend and actual value aren’t the same curve — and at enterprise scale that gap gets expensive fast. This free guide shows what’s really driving wasted token consumption, and how better context retrieval and smarter model routing fix it without sacrificing output quality. **Read the whitepaper to:** Learn how to reduce unnecessary token consumption Improve AI performance with better context Scale enterprise AI more efficiently, for less **The Rundown:** Anthropic just [published](https://www.anthropic.com/institute/measuring-pace-of-ai-development?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) internal measurements showing Claude now “leads” 26% of the company’s AI R&D, completing tasks end-to-end from a prompt while a human supervises — up from under 1% in February. Using a scale from Epoch AI, Anthropic put Claude at “leads” for 26% of its R&D and at “collaborates or above” — working under human direction — for over 90%. Full autonomy remains at zero, with no task yet reaching the level where Claude would spot a problem, fix it, and ship it to production without human involvement. Anthropic reported \~30K AI agents running its research and engineering, with all actions monitored and 1 in 47,000 blocked; \~6% of R&D compute goes to safety. The company said these numbers give the public a view into how fast AI is building AI, and it will also embed third-party evaluators to verify metrics like these. **Why it matters:** Last week, Anthropic called for a slowdown over recursive self-improvement, and now it's giving a glimpse into how far that's progressed on its own side. Sam Altman and Elon Musk backed Dario's pitch too, though how far they will walk that talk for the sake of public transparency remains to be seen. **QUICK HITS** ▸ **Olli built a 2 AM sleep coach with Gemini** Today’s workflow comes from reader **Olli Talvitie**: “My partner and I were tired parents trying to help our child sleep better. We had spent hundreds of euros on expert services and courses, but because every child is different, we still hadn't found an approach that worked consistently. She was waking us up multiple times each night, so we used Gemini to develop a plan with stages. In the first stage, we helped her start sleeping in her own room, which she achieved within a week. The second stage focused on getting her to sleep in her bed for the whole night. The game changer was having immediate help when things didn't go as planned. At 2 AM, I described situations such as my child lying on the floor and refusing to move, asking me to stay, or coming back to our room again. Gemini adjusted the plan and told my tired brain what to do next. My child came back from her room 10 times, and each time I received practical advice. She eventually slept through the night and woke up in the morning feeling proud and happy.” *See Olli’s full workflow here. How do you use AI? Tell us for a chance to be featured.* 🔀 [Switch](https://www.flintai.dev/products/switch?utm_source=TheRundownAI&utm_medium=Newsletter&utm_campaign=NewTools092426) - Drop any AI agent into your Slack, Teams, or Discord and put it to work. Runs local. Get it on GitHub\* ⚙️ [Halo](https://whitecircle.com/halo?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) - Open-source framework for \~3× faster Hugging Face model training 📽️ [Dramagic](https://www.byteplus.com/en/contact-us/dramagic-x?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) - ByteDance’s AIGC platform for short dramas and video production 🩺 [Scribe v2 Medical](https://elevenlabs.io/blog/scribe-v2-medical-generally-available?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) - ElevenLabs’ speech-to-text model for medical transcription *\*Sponsored listing* **Australian PM Anthony Albanese** [revealed](https://www.bbc.com/news/articles/c6vgy0333dppo?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) that an OpenAI agent broke into an Australian Medicare statistics portal in June and pulled non-public files, the first known agent hack of a government site. **Google** [debuted](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-text-to-speech/?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) Gemini 3.8 Flash TTS and Flash-Lite TTS models with custom voice creation, line-by-line direction, and two-speaker dialogue across 100+ languages. **Anthropic** is [in talks](https://www.theinformation.com/articles/anthropic-talks-cement-control-data-centers?rc=a8sc5q&utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) to lease up to 1GW of data center capacity from Stream Data Centers, potentially using AI chips from Google and Broadcom, The Information reported. **YouTube** [added](https://blog.youtube/news-and-events/made-on-youtube-new-tools-power-creation-journey/?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) Gemini-powered editing in Shorts and YouTube Create, along with AI comment moderation and voice-and-face likeness detection for creators. **China** is [reportedly](https://www.theinformation.com/articles/china-probes-deepseek-moonshot-potential-data-leaks-anthropic?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) probing DeepSeek and Moonshot over routing user data to Claude without users’ knowledge, following Anthropic’s Sept. 10 report on model distillation. Read our last AI newsletter: [The pacing era’s first launch day](https://www.therundown.ai/articles/the-pacing-era-s-first-launch-day?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) Read our last Tech newsletter: [Meta’s less-creepy smart glasses](https://tech.therundown.ai/p/meta-less-creepy-smart-glasses?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) Read our last Robotics newsletter: [Agility’s new ‘safer’ humanoid](https://robotnews.therundown.ai/p/agility-new-safer-humanoid?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) Today’s AI tool guide: [Use Loop Method for better ChatGPT results](https://app.therundown.ai/guides/use-the-loop-method-to-get-better-results-from-chatgpt?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) RSVP to next workshop on Sept. 30: [Turn Cowork into your chief of staff](https://app.therundown.ai/live/claude-cowork-201-turn-your-chat-into-a-chief-of-staff?utm_source=therundownai.beehiiv.com&utm_medium=newsletter&utm_campaign=rundown-1019) See you soon, *Rowan, Zach, Shubham, Jennifer, and Nate — the humans behind The Rundown*