OpenAI Reportedly Sitting on Hundreds of Unreleased Math Proofs; Navier-Stokes Proof Cost ~$15M in Compute

新智元 · wechat · 2026-09-17

UT Austin professor and ex-OpenAI alignment researcher Scott Aaronson reports AI labs are withholding solutions to 'very significant problems' after hostile reactions to the Navier-Stokes proof. NYU's Scott Armstrong says OpenAI has sat on 'hundreds' of proofs since July's ICM.

Key details: after hearing two Millennium Problems were solved, OpenAI fed all unsolved ones to an internal model stronger than GPT-6 Astra. 100 agents solved the Euler equations variant in 50 hours; 10,000 concurrent agents cracked Navier-Stokes in 88 hours, with 17 more hours for Lean verification — 130B output tokens, $15M in compute for a 166-page proof almost no human has read.

Terry Tao warns AI compute can flatten human projects before they mature, chilling open science; 25 Fields medalists signed a letter criticizing labs for treating math as benchmarks. Priority, credit, and peer review — centuries-old norms — are all breaking down.

Related event: Aaronson Says AI Labs Are Sitting on Major Results After Navier-Stokes Backlash(11 posts)→

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