NYU researcher Tristan Buckmaster says OpenAI touted a breakthrough on the Navier-Stokes Millennium Prize problem that closely mirrors a year-long personal project he ran with Anthropic's Levent Alpöge using Claude and Codex as assistants. Buckmaster alleges OpenAI accessed his private Codex session logs and that the company issued threats regarding his career after he raised concerns, though he says the AI-generated proof itself was low quality, calling it 'AI slop'.
Users of Google's newly launched Pixel 11 lineup have flagged a handful of software problems, including devices getting stuck in boot loops and camera app malfunctions. It remains unclear how many units are affected or whether the issues stem from software or hardware causes.
OpenAI announced that a swarm of roughly 10,000 coordinated AI agents, built on one of its internal models, produced a proposed resolution to the Navier–Stokes equations problem in about 88 hours. The agents worked in communicating subgroups with access to cached internet data and code execution tools, reaching their result on September 5. The Clay Mathematics Institute, which oversees the Millennium Prize Problems, has not yet verified or commented on the claim.
OpenAI says an unreleased AI model produced a proof addressing the Navier-Stokes existence and smoothness problem, one of the seven Millennium Prize math problems, completing the work in 88 hours. The proof reportedly identifies a scenario where the fluid-dynamics equations break down mathematically, though researchers stress this doesn't mean real fluids like water would physically behave that way.
OpenAI says an unreleased model produced a resolution to the Navier–Stokes existence and smoothness problem, one of seven Millennium Prize Problems carrying a $1 million reward. NYU professor Tristan Buckmaster, who had spent nearly a year on related work with Anthropic researcher Levent Alpöge using Claude and Codex, rushed out his own paper alleging OpenAI's team began work only after hearing rumors of his breakthrough, and that OpenAI would not clarify whether its model had accessed his private drafts.
A new essay contends that the main obstacle to wider AI adoption isn't the technology's power but users' inability to know what to ask for. It compares this to Alan Kay's ant-in-the-canyon metaphor: skilled users see a full landscape of possible automations, while everyday users face a blank prompt with no sense of what's achievable.
NYU's Buckmaster and his collaborator Alpöge published a proof that a simplified version of the Navier-Stokes equations can break down, after nearly a year of work using public AI models. Hours later, OpenAI released its own proof covering the full equations using an unreleased internal model, but Buckmaster alleges OpenAI tried to pressure him into excluding his co-author, who works at Anthropic, and dodged questions about whether their models were trained on his private work transcripts.
Google has rolled out a fix for a glitch that left some YouTube users seeing missing thumbnails and YouTube TV users staring at fully blacked-out screens. The company confirmed the issue, which mainly hit users in Texas, is now resolved after previously suggesting a workaround of switching internet connections.
OpenAI says an unreleased internal AI model, running roughly 10,000 autonomous agents, produced a proof addressing the long-unresolved Navier-Stokes existence and smoothness problem within about 88 hours. The effort began after the company heard rumors that two Millennium Prize problems had been cracked elsewhere, prompting it to test the model on outstanding mathematical challenges. The result has not been peer-reviewed or accepted by the Clay Mathematics Institute, which oversees the Millennium Prize.
Tristan Buckmaster of NYU announced preliminary proofs on a major unsolved math problem, developed with Anthropic researcher Levent Alpöge using Codex and Claude models. Buckmaster alleges that details of their unpublished progress leaked to OpenAI, which then claimed to have produced a full proof using a large team and heavy computing resources shortly afterward. OpenAI's math lead Sebastian Bubeck disputes the characterization, calling the claims false and promising a fuller response.
Maria Zhang, who previously led AI engineering efforts at Instagram, Tinder and Google, is now CEO of Palona AI, a startup applying large-scale AI techniques to restaurant operations. The company targets tasks like catering coordination, phone call handling and staff support rather than the recommendation and ranking systems she built at Meta and Tinder.
OpenAI says it used AI systems, backed by significant investment, to produce a solution to the Navier-Stokes equations, one of the seven unsolved Millennium Prize Problems in mathematics. The claim has drawn immediate pushback from rival labs and researchers who are scrutinizing whether the result truly meets the rigorous proof standards required for the prize.
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