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    Home»Free AI Tools»Anthropic’s AI biology lab makes its first find
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    Anthropic’s AI biology lab makes its first find

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    Anthropic's AI biology lab makes its first find
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    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.

    • 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

    ANTHROPIC

    The Rundown: Anthropic just shared 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.

    • Dario Amodei said 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.

    TOGETHER WITH MEMOKET

    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

    *The promo code is valid till the end of Sept. and valid for one use per customer.

    NATE’S NOTEBOOK

    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.

    AI TRAINING

    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!

    • 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.

    PRESENTED BY GLEAN

    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.

    • Learn how to reduce unnecessary token consumption

    • Improve AI performance with better context

    • Scale enterprise AI more efficiently, for less

    AI RESEARCH

    The Rundown: Anthropic just published 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.

    COMMUNITY AI WORKFLOW OF THE DAY

    ▸ 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 – Drop any AI agent into your Slack, Teams, or Discord and put it to work. Runs local. Get it on GitHub*

    • ⚙ Halo – Open-source framework for ~3× faster Hugging Face model training

    • 📽 Dramagic – ByteDance’s AIGC platform for short dramas and video production

    • 🩺 Scribe v2 Medical – ElevenLabs’ speech-to-text model for medical transcription

    Australian PM Anthony Albanese revealed 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 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 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 Gemini-powered editing in Shorts and YouTube Create, along with AI comment moderation and voice-and-face likeness detection for creators.

    China is reportedly probing DeepSeek and Moonshot over routing user data to Claude without users’ knowledge, following Anthropic’s Sept. 10 report on model distillation.

    That’s it for today!

    Before you go we’d love to know what you thought of today’s newsletter to help us improve The Rundown experience for you.

    Rowan, Zach, Shubham, Jennifer, and Nate — the humans behind The Rundown

    Anthropics Biology Find Lab
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