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OpenAI releases findings on 377 math problems

The New York Times reports that OpenAI described the release as more responsive to concerns about AI disrupting research.

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2 Sources, 1d ago, first seen 1d ago

TLDR

The New York Times reports OpenAI released findings on 377 math problems and described the release as more responsive to concerns about AI disrupting research after a previous solution angered mathematicians. Separately, a user says OpenAI posted 719 math manuscripts in 372 families from an unreleased internal model; the user says the repository lists Lean proofs for about 42% of top-line results and cautions that unformalized ones could have issues.

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2 Sources, first seen 1d ago

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Combined views

47

2 Sources, first seen 1d ago

4 likes

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2 Sources

Rusalka@volkoslakOpenAI Releases Findings on 377 Math Problems, Further Roiling Field After a previous solution angered mathematicians, the company characterized the new release as being more responsive to concerns about A.I. disrupting research. https://www.nytimes.com/2026/10/06/science/openai-math-problems.html?campaign_id=60&emc=edit_na_20261007&instance_id=183207&nl=breaking-news&regi_id=59957329&segment_id=227700&user_id=c18bbb887e7f129e92da7a006eb11e931d
OCEAN@OCEANVIN10OpenAI posted 719 math manuscripts in 372 families from an unreleased internal model, posed about 4,000 problems. Its repo says about 42% of top-line results have Lean proofs and unformalized ones could have issues. The formal checks are what to watch. https://github.com/openai/math21h
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    2 Sources

    Rusalka@volkoslakOpenAI Releases Findings on 377 Math Problems, Further Roiling Field After a previous solution angered mathematicians, the company characterized the new release as being more responsive to concerns about A.I. disrupting research. https://www.nytimes.com/2026/10/06/science/openai-math-problems.html?campaign_id=60&emc=edit_na_20261007&instance_id=183207&nl=breaking-news&regi_id=59957329&segment_id=227700&user_id=c18bbb887e7f129e92da7a006eb11e931d
    OCEAN@OCEANVIN10OpenAI posted 719 math manuscripts in 372 families from an unreleased internal model, posed about 4,000 problems. Its repo says about 42% of top-line results have Lean proofs and unformalized ones could have issues. The formal checks are what to watch. https://github.com/openai/math21h
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