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[ARTICLE · art-158394] src=runtimewire.com ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

OpenAI says its AI disproved a core complexity hypothesis and posts the proof

OpenAI says its AI system has disproved the Exponential Time Hypothesis, a widely used computational-hardness assumption underpinning hundreds of computer-science results, and has published the model's natural-language argument and a Lean formalization for outside examination. Dan Roberts, who leads OpenAI's Frontiers team, announced the claim on October 26th, 2026 as one of three research results and described the release in a thread on X, organizing independent scrutiny so verification and access are part of the release process.

by read1 min views1 publishedOct 26, 2026
OpenAI says its AI disproved a core complexity hypothesis and posts the proof
Image: Runtimewire (auto-discovered)

The Exponential Time Hypothesis shapes hundreds of computer-science results; OpenAI has published its model's natural-language argument and Lean formalization for outside examination.

        By [Ryan Merket](https://runtimewire.com/author/ryan-merket)
        · Published 
        · Updated 

Primary source: [x.com](https://x.com/danintheory/status/2114833682469122314?s=46)

Why it matters #

A disproof of ETH would affect hundreds of results built on computational-hardness assumptions. OpenAI has published the argument and Lean formalization and organized independent scrutiny, making verification and access part of the release process.

OpenAI says its AI system has disproved the Exponential Time Hypothesis, a widely used assumption in computer science, and has published the model's argument and a Lean formalization for outside examination. The claim is one of three research results announced on October 26th, 2026 by Dan Roberts (@danintheory), who leads OpenAI's Frontiers team. Roberts also described the release in a thread on X.…

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