SteadyRising Sep 11 – Sep 12 (2 days)

OpenAI fought dirty on career-making math problem, says NYU mathematician

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26 stories across sources

What's happening

NYU mathematician and other researchers are accusing OpenAI of using private Codex/chat conversations to train models and then publishing the same mathematical solutions days before the researchers could publish. The claims say two mathematicians spent a year on a hard problem, fed every draft into Codex, and then OpenAI's models (named Sol and Astra in the claims) produced the same solutions. Multiple posts across Reddit and Hacker News echo the allegation that OpenAI trained on private conversations and claimed breakthroughs, framed around OpenAI's announcement that it "cracked" a major math problem (Navier-Stokes, per one Reddit snippet).

Why it's trending

Accusations surfaced after OpenAI published a high-profile proof announcement and several researchers reported matching outputs from models trained on their private drafts.

SignalHolding at its usual pace, confirmed across 3 independent source types.

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Angles you could write

contrarian take

If you think model training is just harmless aggregation, this NYU mathematician's accusation should make you rethink the entire incentive structure around closed LLMs.

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Original sources26

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