OpenAI's Navier-Stokes claim sparks dispute over whether mathematicians' data was accessed

The scope of OpenAI's two statements is where the procurement content sits. The company says that no specific user data was accessed in order to solve this problem, and in the same document that it cannot rule out that de-identified data derived from the pair's usage of its products helped improve its models ^[6]. One sentence covers a single problem and a single access path; the other covers the general capability that produced the result, and it is the vendor's own wording rather than an allegation. A buyer who asks only whether their chats were read gets a true answer to a narrower question than the one they meant to ask.

In both accounts, the information that moved first moved through people. Buckmaster says that after he told an OpenAI mathematician he and Alpoge planned to post their work, OpenAI staff including Sebastien Bubeck told him an internal model had produced a proof ^[5]. Bubeck says he was trying to coordinate the two releases, and that OpenAI took the problem up after viral rumours that Anthropic had resolved two Millennium problems ^[10]; OpenAI's own announcement gives the same origin story, citing rumours that two of the problems had been solved ^[23]. Both versions have OpenAI's timing responding to news of someone else's unpublished progress, arriving as talk. No retention clause governs that channel.

OpenAI's account of the run is about 10,000 agents working at once, 88 hours to a solution, and about 17 hours for GPT-6 Astra to verify it ^[13][14], which works out to roughly 880,000 agent-hours ^[17]. The Clay Mathematics Institute prize is $1m, and OpenAI says it does not intend to claim it ^[15]; set against a flotation that could value the company at around $1tn ^[16], the prize is about one part in a million of the valuation ^[18]. The return on the exercise is the announcement, which is why release timing rather than prize money is what the two accounts disagree about.

A skeptic will say this is a credit fight among mathematicians with no bearing on a company buying coding seats. The reply is to ask who else could occupy Buckmaster's position: any customer whose in-progress work is the asset, using a tool sold by a vendor that competes for the same result. Buckmaster is careful about the limits of his own account, writing that he has not seen OpenAI's proof, does not know whether their data was used, and is not accusing anyone ^[8]. Those questions stay open for a buyer as well, which is the practical difficulty: the contract has to be written against uncertainty that will not be settled before it is signed.

The trade is frontier capability against a residual the vendor itself says it cannot bound ^[6]. This quarter that falls to whoever owns the renewal, and the questions are what is retained, what "de-identified" and "derived" are taken to cover, whether a no-retention tier exists for teams doing pre-publication work, and which of the vendor's staff may hear about that work. Next quarter it falls to the research or product lead deciding whether the fastest available tool is the right one for work whose value depends on being first. Those two decisions usually sit with different people, and the paperwork is written before the discovery, not after.