OpenAI fought dirty on career-making math problem, says NYU mathematician
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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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
- OpenAI just wants to win
OpenAI has spent the last few years planting flags across the increasingly difficult terrain in mathematics. This week, it claimed one of its biggest prizes yet: a solution to a legendary Millennium Prize problem. In normal circumstances, this would have been celebrated as a historic achievement. Instead, many mathematicians have watched OpenAI's relentless advance with […]
The Verge AISep 12 - OpenAI pulls out of Caltech math hackathon after mathematicians issue open letter criticizing AI math 'slop'r/OpenAISep 10
- Top mathematicians are outraged by OpenAI's methodsHackerNewsSep 11
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