- 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
Claude spots a CRISPR-like DNA mystery
Image source: AnthropicThe 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.The details: - 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.”
Meet IFA’s award-winning wearable
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
Nate's Notebook: Your go-to guy lives in the browserThe 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
Use Loop Method for better ChatGPT results
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
Get more intelligence per token
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
Claude now leads 26% of Anthropic's AI research
Image source: AnthropicThe 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.The details: - 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.
Trending AI Tools
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
Everything else in AI todayAustralian 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.
Highlights: News, Guides & Events- Read our last AI newsletter: The pacing era’s first launch day
- Read our last Tech newsletter: Meta’s less-creepy smart glasses
- Read our last Robotics newsletter: Agility’s new ‘safer’ humanoid
- Today’s AI tool guide: Use Loop Method for better ChatGPT results
- RSVP to next workshop on Sept. 30: Turn Cowork into your chief of staff
Source: https://therundownai.beehiiv.com/p/anth ... first-find