OpenAI’s sly mathematical breakthrough sends a chill through academia
OpenAI claims an unreleased model solved the Navier-Stokes Millennium Prize problem in 88 hours using ~10,000 agents, sparking academic scooping controversy.
OpenAI announced that one of its unreleased internal models took 88 hours, running a swarm of roughly 10,000 AI agents, to produce a solution to the Navier-Stokes Millennium Prize problem, a $1 million Clay Mathematics Institute challenge unsolved by humans for nearly 90 years. The announcement triggered allegations from NYU professor Tristan Buckmaster that OpenAI scooped his joint work with Anthropic researcher Levent Alpoge and questioned whether OpenAI accessed his Codex sessions; OpenAI denies using specific user data but concedes de-identified data influence cannot be ruled out. Critics say the rushed, reportedly million-dollar effort violates academic norms around trust and openness, potentially chilling collaboration in mathematics.
- OpenAI says ~10,000 agents on an internal model solved Navier-Stokes in 88 hours
- Allegations of scooping involve Buckmaster and Anthropic's Levent Alpoge
- OpenAI denies accessing user data but cannot rule out de-identified data influence
- Company says it will not claim the $1M Clay Mathematics Institute bounty
- Mathematicians warn the conduct could erode trust norms in the field
- AI models
- OpenAI internal model
From the original article
7 min read at theverge.com
Open AI CEO Sam Altman speaks during the G20 Innovation Ministerial. | (Photo by Matt RAMEY / AFP via Getty Images) OpenAI's announcement Tuesday that it has solved one of mathematics' legendary Millennium Prize problems should have been a moment of triumph. The result is both an undeniable achievement and a striking demonstration of just how rapidly AI is transforming mathematics.
By Robert Hart · theverge.com
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