Primary source AIArticle·22 September 2026·5 min read

OpenAI Announces Navier–Stokes Solved and Creates a Mathematicians' Committee

In a single post: an internal model claimed to have cracked more than 100 open problems, and an independent panel of experts to manage the shockwave.

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OpenAI Announces Navier–Stokes Solved and Creates a Mathematicians' Committee

Source : OpenAI · OpenAIView original ↗

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In brief

OpenAI claims that an internal model, trained starting August 28, solved the Millennium Prize problem on Navier–Stokes equations along with more than 100 long-standing open problems in mathematics. In the same post, the company announces the creation of an independent advisory group made up of nine leading mathematicians, tasked with evaluating and orchestrating the communication of these results. The committee, however, will have no say in the pace of OpenAI's internal progress.

🍺 Bar-stool version

OpenAI casually mentions that one of its in-house models solved one of the seven Millennium Prize problems and about a hundred other questions left open for decades, then pivots straight into announcing a committee. It's a bit like announcing you've found a universal vaccine in the same press release where you unveil your new PR service. The committee, for its part, brings together very serious names — a Fields Medalist, a Witten — but its mandate explicitly excludes telling OpenAI to slow down. If the results hold up, this is one of the most important moments in the history of mathematics; and for now, there's nothing to actually read.

Key takeaways

1
OpenAI says it began training a new internal model on August 28, and claims it has since solved the Navier–Stokes Millennium Prize problem.
2
The same model reportedly solved 'more than 100' long-standing open problems across most areas of mathematics, at a pace that surprised the company's own mathematicians.
3
No proof, publication, or technical detail accompanies the announcement: the post is about governance, not results.
4
An independent advisory group brings together François Charles, Camillo De Lellis, Timothy Gowers, Martin Hairer, Nikhil Srivastava, Ulrike Tillmann, Ravi Vakil, Edward Witten, and Melanie Matchett Wood.
5
Its members are not paid by OpenAI, can make their opinions public, can issue them unprompted, and can modify the group's composition themselves.
6
The mandate excludes one specific thing: advising OpenAI on the pace of its internal progress in mathematics.
7
The announcement partly responds to the open letter 'A Severe Misalignment of AI in Mathematics,' which criticizes the use of open problems as a benchmark.

What OpenAI Claims

The post opens with a sentence that, if confirmed, would alone justify a decade of press coverage: a new internal model, whose training began on August 28, reportedly solved the Millennium Prize problem on Navier–Stokes equations.

The Committee, Its Mandate, and Its Limits

Nine mathematicians make up this independent advisory group: François Charles (ENS-PSL), Camillo De Lellis (IAS, GSSI), Timothy Gowers (Collège de France, Cambridge), Martin Hairer (EPFL, Imperial College London), Nikhil Srivastava (Berkeley, Simons Institute), Ulrike Tillmann (Oxford, INI), Ravi Vakil (Stanford), Edward Witten (IAS), and Melanie Matchett Wood (Harvard).

The Open Letter in the Background

OpenAI itself cites the open letter 'A Severe Misalignment of AI in Mathematics,' in which mathematicians denounce the negative externalities of a practice that has become common: using open problems as a validation benchmark for new AI systems.

What This Says About OpenAI's Strategy

Structurally, the post is strange: a potentially historic scientific announcement serves as the introduction to a governance announcement.

Why it matters

If the claims hold up, we're talking about the first Millennium Prize problem solved by a machine and about a hundred open results falling in a matter of months — a shift for a discipline whose unit of time is the decade.

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#openai #mathematics #governance #llm #research

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