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OpenAI and Anthropic Refute Exponential Time Hypothesis with New Math Problems

1 reports1 sources10/27/2026 updated

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OpenAI recently released three major mathematics problem solutions, one of which unexpectedly refuted the Exponential Time Hypothesis (ETH) in computer science, sparking new discussion in the field. Subsequently, Anthropic also released its own refutation of ETH. OpenAI distributed content across disciplines: mathematicians provided GitHub code, computer scientists formed a working group and organized a meeting, while physicists formed a working group to decide on the release method.

Written with AI from the reporting · updated 10/27/2026

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  1. 1Unclassified fact stationOct 27, 00:00recorded Oct 28, 01:56single sourcerevised

    OpenAI 发布三大数学难题解,ETH 被反驳

    Read original source ↗ TechCrunch · AIReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject:
    openai
    Action:
    发布数学问题解
    Object:
    Exponential Time Hypothesis (ETH)
    Occurred (fact side):
    Oct 27, 00:00
    TechCrunch · AI ↗Report pageRevision 3 · currently revised
    Published (valid side):
    Oct 28, 01:08
    First seen (known side):
    Oct 28, 01:56
    Fact stationSingle source · one-sided claimRevised

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Oct 28
  1. TechCrunch · AIRelated fact: single sourceSource report revised
    OpenAI refutes Exponential Time Hypothesis, sparks debate in computational complexity

    Report first recorded Oct 28, 01:56

    OpenAI released solutions to three mathematics problems, one of which refuted the Exponential Time Hypothesis (ETH), a long-standing assumption in computer science. Anthropic subsequently released its own refutation of ETH. OpenAI structured its release across three disciplines: mathematicians received proofs on GitHub, computer scientists formed a working group to request public sharing and a conference, and physicists formed a working group to determine release norms. MIT Professor Ryan Williams, who has previously criticized OpenAI's proof methods, agreed to collaborate to help interpret the solutions.

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