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OpenAI claims 10,000 agents solved Navier-Stokes Millennium Prize problem in 88 hours

OpenAI announced that an unreleased AI model, driven by 10,000 autonomous agents, solved the Navier-Stokes Millennium Prize Problem in 88 hours. The breakthrough, which demonstrates that fluid dynamics equations can break down over time, required millions of dollars in compute resources—roughly 1,000 times the cost of previous mathematical AI efforts. Mark Chen, OpenAI’s chief research officer,…

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Key points

  • OpenAI used 10,000 AI agents and millions in compute to solve the Navier-Stokes problem in 88 hours.
  • Mathematician Tristan Buckmaster accused OpenAI of copying his approach, though OpenAI denied using his specific prompts.
  • OpenAI will not claim the $1 million prize, as the Clay Institute requires peer review and a two-year validation period.

The announcement triggered immediate controversy with mathematician Tristan Buckmaster and Anthropic researcher Levent Alpoge, who had recently published AI-assisted work on related equations. Buckmaster alleged that OpenAI adopted their specific approach after rumors of their progress spread, though OpenAI denied using their prompts or proofs. While OpenAI stated it would not claim the $1 million prize, the Clay Mathematics Institute emphasized that rigorous peer review and a two-year validation period are required before any solution is officially recognized.

This incident highlights the accelerating role of large-scale agent swarms in high-level mathematics, raising debates about the nature of machine-generated understanding versus human insight. The dispute over credit underscores the competitive tension between major AI labs and the academic community as AI systems begin to address problems that have remained unsolved for decades.

Full story from phys.org · by Alex PIGMAN · via Search: OpenAIOpen source ↗

OpenAI says 10,000 AI agents cracked one of math's hardest problems in 88 hours

phys.org · 9 September 2026

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This text was published by phys.org and written by Alex PIGMAN. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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