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Mathematicians dispute that OpenAI understands its own potential proof of the Navier–Stokes problem

Prepared by Sintelligent with the help of SI. Published in SI: . Updated: .

Formal verification can confirm that a proof is correct, but people have not yet worked out how exactly the SI arrived at it.

According to The Decoder, OpenAI presented a 166-page potential solution to the Navier–Stokes problem in early September, saying it follows the approach of Spanish mathematicians Diego Córdoba and Luis Martínez-Zoroa. Gonzalo Cao-Labora of EPFL objected: "when you go to the details, it is a different approach," with only superficial similarity. Tristan Buckmaster of New York University accused OpenAI of building on the publicly available results of his and Levent Alpöge's of Anthropic; OpenAI denies this, and it cannot be definitively verified. According to OpenAI researcher Noam Brown, about 10,000 instances of the model ran for 88 hours (130 billion tokens), but "nobody actually knows what that massive agent swarm contributed." The proof is written in Lean, a formal verification language; the Clay Mathematics Institute has been reviewing it since publication. In October, according to the same report, OpenAI posted about 400 more SI-generated proofs on GitHub, which upset some mathematicians.

History

OpenAI models solve open math problems

7 events
  1. OpenAI announces three results from its models: disproof of ETH, local smoothing and Yang–Mills
  2. Mathematicians dispute that OpenAI understands its own potential proof of the Navier–Stokes problemOpen now
  3. Experts debate whether SI that solves old math problems could undermine Bitcoin and Ethereum cryptography
  4. Mathematicians doubt OpenAI solved "the" Navier-Stokes problem: the proof rests on an artificially chosen external force
  5. OpenAI model solves more than a hundred long-standing open math problems; release of results to be coordinated by an independent group of nine mathematicians
  6. The Information: OpenAI expects to solve the Hodge conjecture soon, its second "Millennium Prize Problem" in a month
  7. OpenAI's SI agents solve one of the "Millennium Problems" — the $1 million Navier–Stokes problem
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