OpenAI Claims Breakthrough on Millennium Prize Problem Amid Academic Conflict

OpenAI has announced it solved the Navier-Stokes problem, a fluid dynamics quandary that has remained unsolved for nearly 90 years and carries a $1 million bounty from the Clay Mathematics Institute. As first reported by The Verge, OpenAI utilized one of its unreleased internal models to coordinate a swarm of approximately 10,000 AI agents, reaching a solution in 88 hours.

While OpenAI describes the achievement as a "milestone," the timing has triggered a dispute with academic researchers. New York University professor Tristan Buckmaster and Anthropic researcher Levent Alpöge had published findings on a related problem just one day prior to OpenAI's announcement. Buckmaster alleges that OpenAI became aware of their progress and rushed to solve the problem to beat them to the punch.

Buckmaster claims that during inquiries regarding the model's training data and the use of his Codex sessions, an OpenAI researcher asked him, "Why would you ruin your career?" and later stated, "If you don’t want me to be nice, then I don’t have to be nice." OpenAI has denied accessing specific user data to solve the problem, though it admitted it cannot rule out that de-identified product usage data may have indirectly improved its models.

OpenAI researcher Sébastien Bubeck told Science that the company decided to tackle the problem after seeing rumors on Twitter that other researchers were making progress on Millennium Prize problems. Despite the effort costing millions of dollars, OpenAI stated it does not intend to claim the bounty, asserting its sole goal was to report on the progress of its AI models. Abhishek Saha, a mathematics professor at Queen Mary University of London, told The Verge that OpenAI has engaged in behaviors that mathematicians generally avoid.