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OpenAI says its AI proved three long-standing research results in math, computer science and physics

AIRohan Paul relays OpenAI's claim that its AI produced proofs in math, computer science and physics. The claims include a disproof of the Exponential Time Hypothesis, a proof of the local smoothing conjecture that settles the Kakeya conjecture, and a Yang-Mills proof covering half of a Millennium Prize problem.
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OpenAI claims new AI proofs covering half a Millennium Prize problem, the Kakeya conjecture and a core complexity hypothesis.

These problems are in math, computer science and physics, problems top experts had worked on for decades.

The biggest: for about 25 years, the Exponential Time Hypothesis held that certain logic puzzles take time that explodes as they grow. OpenAI’s AI says it proved the hypothesis false, and hundreds of research papers rest on it.

In math, the AI claims to have cracked the local smoothing conjecture, a 35-year-old puzzle about how waves focus, which also settles the famous Kakeya conjecture. Humans had only solved smaller versions.

In physics, the AI claims it proved, with full mathematical rigor, that quantum chromodynamics, the theory of the force holding atoms’ cores together, stands on solid math. Its Yang-Mills proof covers half of the $1M “Yang-Mills Existence and Mass Gap” Millennium Prize problem.

This story is featured in top picks: “OpenAI asks outside experts to check AI-produced math, computer science, and physics proofs”

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Original title: OpenAI claims new AI proofs covering half a Millennium Prize problem, the Kakeya conjecture and a core complexity hypothesis.