GoKawiilSecond mathematician accuses OpenAI of using his work without disclosure
Mathematician Andreas Thom says his prior ChatGPT conversations may have fed into OpenAI's recent non-sofic groups breakthrough, echoing a similar complaint from NYU professor Tristan Buckmaster about undisclosed use of his Codex interactions. Thom noted OpenAI's unusually detailed grasp of niche techniques and has asked researchers Sébastien Bubeck and Mark Sellke whether his exchanges with ChatGPT were used as training data.
GoKawiil's interpretation of the reporting above, not reported fact.
These accusations strike at the credibility of OpenAI's mathematical achievements, suggesting the models may rely on uncredited human expertise rather than novel reasoning. The lack of transparency around training data sources raises broader questions about intellectual property and proper attribution in AI research.
- A second mathematician has questioned the origins of OpenAI's mathematical results.
- OpenAI already quietly amended its announcement after criticism over crediting Thom and Kun.
- Researchers are demanding clarity on whether private ChatGPT interactions became training data.
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Published there as: “Mathematicians want proof OpenAI didn’t use their work”
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