Who gets credit for AI-assisted proofs
Labs and outside researchers are racing to claim credit for AI-assisted proofs of open math problems, and the people whose work fed the models are the ones now disputing who did what.
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Sep 8, 2026 Updated midday
SHIPAnthropic and NYU release Lean-verified finite-time blowup proof for 3D Euler equations
NYU mathematician Tristan Buckmaster and Anthropic researcher Levent Alpöge published a computer-checked proof on September 8 showing finite-time blowup can occur in the 3D incompressible Euler equations under smooth forcing. The AI-assisted proof earned Fields Medalist Terence Tao's public endorsement. Buckmaster's announcement included allegations that OpenAI had pressured him over authorship and collaboration terms; OpenAI scientist Sebastien Bubeck called the allegations false and inflammatory. Anthropic · OfficeChaiAI
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WATCHOpenAI's Navier-Stokes claim collides with a mathematician's credit dispute
OpenAI says roughly 10,000 agents produced a finite-time blowup proof for forced 3D Navier-Stokes over 88 hours. NYU's Tristan Buckmaster, whose own year-long proof credits Anthropic researcher Levent Alpöge as co-author, says OpenAI's Sebastien Bubeck pressured him to drop Alpöge. Neither proof covers the unforced case the Clay Institute's prize requires. implicator.ai · Fortune
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WATCHThe Navier-Stokes credit fight escalates
Buckmaster says OpenAI's Bubeck told him September 3 an internal OpenAI model already had a 100-page proof, and would let him publish solo only if he dropped Anthropic co-author Levent Alpoge. Bubeck denies stripping credit, calls the remark poorly worded, says he retracted it. TechCrunch
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Terence Tao, quoted by Willison, says AI teams are depleting good open math problems, now wary of sharing directions publicly. Willison
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Twenty-five Fields Medalists say AI labs' pursuit of trophy math proofs is incompatible with how mathematics actually advances
Terence Tao and 24 other Fields Medalists published a joint declaration September 11 arguing rushed announcements without proper writeups, missing attribution, and bypassed peer engagement undermine the field's real purpose — conceptual understanding, not benchmark scores. 'Solving problems is only a tool and proxy... forgetting this in the world of AI may turn the tool against the primary goal.' Tao