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- 🤯 OpenAI Just Solved Navier-Stokes??
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AI math got weird. OpenAI says 10,000 agents cracked Navier-Stokes in 88 hours with a model beyond Astra. Now mathematicians are arguing over the proof & credit.
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AI INSIGHTS
OpenAI says an unreleased model more capable than GPT-6 Astra produced a proposed solution to the Navier–Stokes Millennium Prize Problem. OpenAI officially published the claim on September 8. Main details:
OpenAI reportedly scaled the effort to around 10,000 concurrent AI agents.
The claimed Navier–Stokes result emerged after roughly 88 hours of work.
Reporting says the run used millions of messages and cost millions of dollars in compute.
The proof shows finite-time blowup using a smooth external force, which can still satisfy one of Clay’s accepted formulations of the Millennium Problem.
OpenAI also released a machine-checkable Lean proof, giving mathematicians a much stronger basis for verification than a normal AI-generated paper.
But, mathematicians Tristan Buckmaster and Levent Alpöge had already been working on closely related fluid-dynamics results and had used OpenAI tools during their research. OpenAI denies accessing their specific user data, while acknowledging it cannot completely rule out indirect influence from de-identified usage data.
Clay still lists Navier–Stokes as unsolved, so this remains a claimed solution (and a huge controversy everywhere).
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AI SOURCES FROM AI FIRE
1. Free Guide: 4 Simple Fable 5.1 Prompting Tricks to Make It Work Harder (Yet Cost You Less). A few small changes can make a surprising difference. You’ll see 4 practical habits that help Fable 5.1 get more for less.
2. I Made Claude Code and Codex Build 3 Websites. The Winner Surprised Me. Claude Code now runs on Claude’s latest models, while Codex supports GPT-6 Astra. Both have dramatically changed a lot since early 2026, so make sure to check it out.
3. I Tested 5 Free AI Repos That Feel Too Good to Be True: Kill AI Slop, Go Viral, Make Money. GitHub is one of the best places to get an unfair advantage with AI right now. I picked 5 free projects that could help you make money, save time, or build something seriously useful.
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TODAY IN AI
AI HIGHLIGHTS
🎨 ChatGPT Images 2.5 is rolling out today with faster generations, better fidelity, and more reliable consistency. I’m definitely testing this. You can try these ideas first.
😬 Imagine doing nothing in Claude & watching half your usage disappear. That’s happening to some users after hackers steal their tokens. Watch out warning signs.
📽 One creator broke the whole video editing process down into 10 simple prompts you can use to go from raw footage to finished social media content much faster.
🤖 Meta Muse agent is now live inside your email, calendar, payments, shopping, even health apps. Free to start, but you must hand over plenty of personal access.
🎓 GPT-6 Astra became the first AI to ace South Korea’s full CSAT with a perfect 450. Even crazier, it did it more efficiently than rival models (like Claude or Gemini).
🏆 Meta’s autonomous research system just beat almost 4,000 Kaggle human competitors on real research tasks, and it finished top 10. That’s a serious result.
💰 Big AI Fundraising: Cognition raised $2B, doubling from $26B in 4 months. Its annualized revenue also jumped from $492M to $900M, showing AI coding still has room for multiple winners.
NEW EMPOWERED AI TOOLS
🔄 Switch brings AI agents into Slack, Teams, Discord, and Telegram, letting them collaborate with your team while sharing project rules.
🤖 Widgo is an AI sales rep that answers website visitors, scores leads, and books demos automatically with one line of code.
🎨 Kombai Gallery gives you 20,000+ curated UI designs for web and mobile, with ready-to-use prompts you can copy for your AI agent.
🏆 OpenMarket is a multi-agent marketplace where sellers compete, and AI agents verify evidence to determine the best product.
AI BREAKTHROUGH
Insilico Medicine’s AI-designed drug rentosertib showed an unexpected signal: patients appeared biologically younger across 6 different aging clocks after treatment. Main findings:
The analysis used blood samples from 42 patients in a Phase 2a trial for idiopathic pulmonary fibrosis.
Researchers measured 2,841 proteins and ran them through six independently developed aging clocks.
All six showed reductions in predicted biological age among treated patients.
The strongest effects were around 3–4 years younger, with one clock showing up to 6 years.
Rentosertib itself was designed with generative AI, including AI-assisted target discovery and molecule design.
Note: this does not prove the drug slows human aging. Researchers still can’t separate a true anti-aging effect from improvements caused by treating the lung disease itself.
Key takeaway: This is an early but unusual example of an AI-designed drug showing potential effects beyond its original disease target, and it gives researchers a new way to test longevity signals inside normal clinical trials.
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