OpenAI’s distributed AI agents make headway on Navier-Stokes problem

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OpenAI’s distributed AI agents make headway on Navier-Stokes problem

Developing story first seen 2 hours ago

BBC Technology · 2 hours ago

A dispute has emerged over OpenAI's claim to have made progress on the Navier–Stokes existence and smoothness problem, one of the Clay Mathematics Institute's six unsolved Millennium Prize problems. New York University mathematics professor Tristan Buckmaster has said he and Levent Alpöge, a mathematician at rival firm Anthropic, had themselves been working towards a solution using OpenAI's Codex tool, and that OpenAI only began its own work on the problem after "information about our progress" reached the company on 3 September, hours before OpenAI published its result.

OpenAI says it used a new, unreleased internal AI model and around 10,000 AI agents working in parallel, taking roughly 88 hours, exchanging nearly three million messages and generating 130 billion output tokens, at an estimated cost of about $10m (£7.3m) based on its own pricing. The effort resolved two of the four statements required for a full proof, and OpenAI describes the result as a milestone demonstrating rapid AI progress, stressing it has not been independently verified, is not accepted by the Clay Mathematics Institute, and is not being submitted for the $1m prize. Buckmaster said he had not yet reviewed OpenAI's full proof but felt compelled to make the timeline public.

  • Rival mathematician disputes OpenAI's account of who solved what first
  • NYU professor says OpenAI got his team's progress before publishing
  • OpenAI's result still unverified, not claiming the $1m prize

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OpenAI's proof of Navier-Stokes progress, achieved using thousands of parallel AI agents, is not the first controversy of this kind, but it has raised questions about how AI labs handle and credit shared research.

The Navier-Stokes existence and smoothness problem is one of seven originally listed Millennium Prize problems set by the Clay Mathematics Institute, each carrying a $1m reward for a full solution. It concerns whether certain equations describing fluid flow always have smooth, well-behaved solutions, and it has remained unsolved since being named in 2000. OpenAI says its AI agents made partial progress on the problem, though it stresses the work has not been checked by outside mathematicians or accepted by the institute.

The dispute centres on how that progress came about. Tristan Buckmaster, a mathematician at New York University, says he and Levent Alpöge, who works at OpenAI's rival Anthropic, had already been pursuing a solution using OpenAI's own Codex tool, and that OpenAI began its published effort only after learning of their work shortly beforehand. This matters because it touches on questions of credit and transparency in a field where AI companies are racing to demonstrate that their systems can produce genuine mathematical breakthroughs.

Both sides, in good faith

The strongest fair case each way — we don't pick a winner.

The case for

Those sympathetic to OpenAI's position would argue that publishing a partial, clearly-caveated result is itself good scientific practice: the company explicitly says the work is unverified, not accepted by the Clay Institute and not being submitted for the prize money, so it is offering a transparent progress report rather than claiming a solved Millennium Problem. They would add that using thousands of parallel AI agents to resolve two of four required statements is a legitimate and notable demonstration of how automated systems can accelerate research mathematics, regardless of who first identified the problem as promising, and that ideas and open problems are not owned by whoever mentions them first – independent verification, not priority disputes, is what should ultimately settle the mathematics.

The case against

Those sympathetic to Buckmaster's account would argue that timing and attribution matter enormously in research, and that if OpenAI only began its own effort after learning of Buckmaster and Alpöge's progress hours before publishing, it raises serious questions about whether credit is being fairly assigned to the mathematicians who identified the problem's tractability in the first place. They would emphasise that going public with the timeline, even without having reviewed OpenAI's full proof, is a reasonable act of scholarly transparency meant to protect proper credit in a field where reputational stakes and precedence are taken seriously, especially given the commercial rivalry between the two AI labs involved.

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Originally published by BBC Technology as “OpenAI says it cracked 90-year-old maths problem in 88 hours”.