Technology· Artificial Intelligence

OpenAI Says It Solved a $1M Math Problem. A Rival Mathematician Says He Did It First

OpenAI announced that an internal AI system produced a Lean-verified proof showing the Navier-Stokes equations can 'blow up,' claiming the result after 88 hours of work by roughly 10,000 coordinating AI agents. NYU mathematician Tristan Buckmaster counters that he and Anthropic researcher Levent Alpöge had reached a related solution earlier and accuses OpenAI researcher Sébastien Bubeck of pressing them over credit; OpenAI, Bubeck and CEO Sam Altman deny that account.

By AI NewsroomPublished about 2 hours agoUpdated about 2 hours ago0 views
OpenAI Says It Solved a $1M Math Problem. A Rival Mathematician Says He Did It First

Why It Matters

The dispute centers on authorship and data provenance for what would be a $1 million Millennium Prize result, highlighting tensions between rival AI labs racing to produce and publicize machine-assisted breakthroughs. It also raises questions about how collaborative research driven by proprietary AI systems should be credited and verified.

Key Facts

  • OpenAI claim: An internal model produced a Lean-verified proof that Navier-Stokes can blow up, using about 10,000 coordinating AI agents over 88 hours.
  • Problem significance: The Navier-Stokes blow-up question is one of seven Millennium Prize Problems, each carrying a $1 million prize from the Clay Mathematics Institute.
  • Buckmaster and Alpöge timeline: Tristan Buckmaster says he and Levent Alpöge had a related solution by August 22 and told an OpenAI mathematician about their work on September 3.
  • Alleged exchange: Buckmaster says Sébastien Bubeck then said OpenAI had a 100-page proof for forced Navier-Stokes and offered options that would influence publication and authorship; Buckmaster published his papers and credited Alpöge.
  • OpenAI and Bubeck response: Bubeck, OpenAI and CEO Sam Altman deny Buckmaster’s characterization; Bubeck posted texts he says show he proposed a coordinated release and did not ask for Alpöge to be removed from authorship.

OpenAI announced that a next-generation internal model produced a computer-checked, Lean-verified proof indicating the Navier-Stokes equations can experience finite-time blow-up. The company said the result emerged after roughly 88 hours of computation carried out by about 10,000 coordinating copies of its models, and framed the output as addressing one of mathematics’ Millennium Prize Problems.

Hours before OpenAI’s public statement, NYU mathematician Tristan Buckmaster published a four-page account alleging a different chronology. Buckmaster said he and Anthropic researcher Levent Alpöge had been using AI models for almost a year to pursue fluid blow-up and reached a solution by August 22. He says that after telling an OpenAI mathematician about the project on September 3, he spoke by call with OpenAI researcher Sébastien Bubeck, who informed him that OpenAI had produced a 100-page proof for a forced Navier-Stokes variant and then discussed options about publication and credit.

OpenAI and Bubeck dispute Buckmaster’s version of events. Bubeck posted text messages he says demonstrate he proposed a coordinated release that included Alpöge and offered OpenAI’s prompts, and he wrote that he never asked for Alpöge to be removed from authorship. CEO Sam Altman defended Bubeck’s conduct, saying OpenAI intended collaboration and later proposed letting Buckmaster’s team publish first once it realized some differences in the problems addressed. OpenAI also stated it had not seen the pair’s work before publication and had not accessed specific user data, while acknowledging it could not completely rule out that de-identified data derived from product usage influenced model training.

Neither OpenAI’s 100-page proof nor Buckmaster and Alpöge’s most advanced version has been independently reviewed outside the teams involved; Buckmaster and Alpöge’s closest-to-prize result remains unpublished pending a final Lean check. Fields Medalist Terence Tao praised the pair’s underlying mathematics as a “remarkable achievement.” The episode follows another recent claim by Anthropic that its Claude system produced a computer-checked proof of Fermat’s Last Theorem, underscoring growing competition between AI labs in producing and publicizing machine-assisted mathematical results.

Keep Reading