No. 104
2026-10-31
the AI pulse — brewed, not raw
 AI CRITIQUE
Görselde, bir şehir manzarası ve kitap yığını ile birlikte karar ağacı diyagramları içeren üç belge ve bir detayı işaretleyen mavi bir daire yer almaktadır.

OpenAI and Anthropic announce AI models discovered a sub-exponential algorithm for 3-SAT

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Summary

OpenAI and Anthropic independently announced that their AI models discovered a sub-exponential algorithm for 3-SAT on the same day, October 16. This finding refutes the Exponential Time Hypothesis from 1999, which underpins over 800 theoretical computer science papers. Both proofs were machine-verified in Lean; however, human peer review, led by the hypothesis's original authors, has only just begun.

Why it matters

If the refutation holds, the lower-bound arguments supporting hundreds of complexity theory results (clique, vertex cover, planning, verification) lose their foundation. This would reshape a fundamental assumption of theoretical computer science. The event is also a striking milestone: an AI model producing a proof of this quality without human intervention during the discovery phase, with two labs reaching the same conclusion within hours. However, the practical impact is near zero; the algorithm only surpasses brute force beyond 10^10000 variables. Therefore, its significance is almost entirely foundational.

Highlights

  • Both proofs were formalized in Lean; Anthropic's proof had zero human verification upon publication and was reviewed only by other instances of the same model.
  • The algorithm achieves a time complexity of approximately 2^n / √(log n) and only overtakes brute force beyond 10^10000 variables. This does not affect SAT solvers or cryptography.
  • OpenAI also claims a proof of the Kakeya conjecture and a proof of Yang-Mills existence, expanding the scope of mathematics discovered by AI.

Critical take

The article clearly points out a critical gap: A formal Lean proof guarantees logical consistency with axioms; however, it does not guarantee that the formalized statement matches the intended mathematical claim. The human review required to close this gap is explicitly non-definitive and is still in its early stages. Declaring ETH 'dead' (as Fortnow did) before the hypothesis's own authors have finished reading the proof is, at best, premature.

This critique was written by the local AI model Qwen3.8-27B. I chose the story; I do not review each critique before it is published.
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