OpenAI says it solved a 90yo math problem and won't take the $1M bounty

OpenAI claims 10,000 concurrent agents solved the Navier-Stokes problem, a 90-year-old fluid-motion question with a $1 million Clay prize, in 88 hours, but says it will not claim the bounty. NYU mathematician Tristan Buckmaster, who was racing the same problem with Anthropic researcher Levent Alpöge, says OpenAI's Sebastien Bubeck asked him to remove Alpöge as co-author and warned him not to go public, though OpenAI told Science no employee or agent saw their work. Separately, former OpenAI and Anthropic researcher Jacob Coxon resigned from Anthropic, saying neither lab is acting responsibly, while users report OpenAI's Astra model burns through paid plans quickly.

OpenAI says it solved a 90yo math problem and won't take the $1M bounty OpenAI says 10,000 agents solved Navier-Stokes in 88 hours. NYU's Tristan Buckmaster, racing the same problem with Codex, says OpenAI asked him to drop his Anthropic co-author and warned him not to go public. Five more stories inside. OpenAI says 10,000 of its agents solved Navier-Stokes, a fluid-motion problem open for 90 years with a $1 million prize on it, in 88 hours last week. The mathematician quietly racing the same problem with Codex says OpenAI's own team asked him to remove his collaborator's name and warned him not to go public about how it happened. A day later, a pretraining researcher who'd worked at both OpenAI and Anthropic resigned, saying neither lab is acting responsibly. Users are posting video of Astra burning through paid plans in days. An MIT student let GPT-5.6 Sol run her quantum-chip lab unattended, and a free GitHub skill that just tells your coding agent to stop burying the answer passed 32,000 stars. Six stories, and OpenAI is the subject of three of them. The Navier-Stokes fight OpenAI says it solved a 90yo math problem and won't take the $1M bounty OpenAI says 10,000 concurrent agents, roughly 130 billion output tokens and 88 hours cracked Navier-Stokes, a 90-year-old question about fluid motion carrying a $1 million Clay prize it won't claim. NYU mathematician Tristan Buckmaster says https://cims.nyu.edu/~tristanb/statement.pdf?ref=thenewway.ai he was already working the same problem quietly with Levent Alpöge, an Anthropic researcher, when word reached OpenAI. On a call, OpenAI's Sebastien Bubeck proposed Buckmaster write up OpenAI's result himself, crediting its internal model, with Alpöge removed as a co-author. When Buckmaster said he'd go public instead, Bubeck's reply, verbatim: "Why would you ruin your career?" He never saw OpenAI's proof. He isn't accusing anyone, and OpenAI told Science no employee or agent saw the pair's work before it was public. OpenAI's own page https://openai.com/index/navier-stokes-solution/?ref=thenewway.ai won't rule out that Buckmaster's Codex sessions helped train the model that beat him to it — the same question sitting under every Codex and Claude Code session today. Warnings and burn rates Jacob Coxon quit Anthropic, calling both AI labs a "gamble" on superintelligence Jacob Coxon says he spent three years doing pretraining research at both OpenAI and Anthropic before resigning from Anthropic Tuesday: "Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives." Anthropic's own Evan Hubinger didn't dispute him. He agreed AI "could kill all humans," put the odds above 10% within a decade, and said Anthropic doesn't yet have a plan to solve alignment for superintelligence. He's an on-the-record safety researcher. Not a critic. OpenAI users say Astra burns through paid plans in days OpenAI's Astra model is burning through paid usage fast enough that users are posting video of their meter dropping. "This is what, 10% a minute?" one asked. Codex lead Thibault Sottiaux replied, asking which mode he'd run. He didn't confirm a cap. One user says two long chats a day ate his $200 plan in 2 to 3 days, his own count. Reddit tells the same story about Claude Code's Fable quota and Cursor's meter. The fifth usage-limit story since July. Agents doing the work Beatriz Yankelevich let GPT-5.6 Sol run her quantum-chip experiments MIT graduate student Beatriz Yankelevich wired GPT-5.6 Sol, running through Codex, into her lab's control software and let it characterize an uncalibrated six-qubit chip: pick settings, run the hardware, read the results, decide the next step. With clear signals it finished the standard sequence with little intervention, OpenAI says https://openai.com/index/codex-quantum-computing-experiments/?ref=thenewway.ai . Noisy signals still sent it back to a human. "I can have agents running measurements for many hours overnight," she says. The Quantum Insider's caveat: a chip her lab already understood. Not new territory. A free GitHub skill that stops coding agents from burying the answer hits 32,800 stars A free GitHub skill called i-have-adhd does one thing: it stops your coding agent from burying the answer under paragraphs of throat-clearing. Its own description: "ADHD-friendly output." Action first, steps numbered, nothing else. It sits at 32,800 stars, and its HN thread passed 470 points since Tuesday, more traction than most funded coding-tool launches get. MIT-licensed, so it's a drop-in system-prompt fix, not a product to buy. The preamble problem was never the model. It was the prompt. Mercury 2.5 says it cut Augment Code's latency 82% and its cost 90% Inception Labs says its new Mercury 2.5 diffusion model runs at 1,107 tokens a second and costs as little as 4 cents per million input tokens at launch. The number worth checking: Augment Code says routing its own compaction step to Mercury cut latency from 150 seconds to 27 and cost 90%. Both numbers are self-reported: vendor and customer alike. Diffusion models generate a block at a time, not token by token. That's the real source of the speed. Also worth your time - Terence Tao on math problems being "mined in a non-renewable fashion" by AI https://mathstodon.xyz/@tao/117237320796901560?ref=thenewway.ai — one sentence, posted the same day as item 1, on what happens to the supply of good open problems once solving one triggers a compute race to publish first. Commentary on item 1's story, not a second one. - Claude Code v2.1.265 https://github.com/anthropics/claude-code/releases?ref=thenewway.ai — plugin directory support, a 1GB tool-result cap, new telemetry fields, and prompt-caching/Remote Control/VS Code fixes Sep 8 . v2.1.266 followed hours later with one regression fix for CLAUDE CODE USE GATEWAY proxy setups. - Enterprise-managed sandbox lands in Copilot for JetBrains https://github.blog/changelog/2026-09-08-enterprise-managed-sandbox-in-copilot-for-jetbrains?ref=thenewway.ai — plus cross-file cursor jumps for next-edit suggestions and global project context in chat. - GitHub Enterprise Server 3.22 is generally available https://github.blog/changelog/2026-09-08-github-enterprise-server-3-22-is-now-generally-available?ref=thenewway.ai — adds Copilot CLI support for disconnected environments. - Kimi K3 2.8T parameters run at 1 token/second on a MacBook Pro https://github.com/argonautlabsai/deltafin?ref=thenewway.ai , streamed live from four external SSDs since the model doesn't fit in RAM — a hobbyist feat, not a usable setup. - Benchmarking Qwen3.8 27B quantizations https://quesma.com/blog/qwen38-27b-quantizations-benchmarked/?ref=thenewway.ai — the 4-bit build holds up; the 1-bit build collapses. - DeepSeek V4.1 Flash beta rolling out via API https://x.com/kimmonismus/status/2097286327909675477?ref=thenewway.ai — the model string itself says deepseek-v4.1-flash-expires-on-0910 , so this access window closes tomorrow. - LibreOffice says it broke download records the same week it advertised having "no AI features" https://manualdousuario.net/en/libreoffice-download-record-no-ai/?ref=thenewway.ai — one million installer downloads in a week for the 26.8 release, per the blog's read of LibreOffice's own announcement. 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