Mathematicians want proof OpenAI didn’t use their work
Mathematician Andreas Thom publicly accused OpenAI of opacity over whether ChatGPT conversations contributed to its non-sofic groups mathematics result.
A second mathematician, Andreas Thom, accused OpenAI of 'dishonest' behavior and insufficient transparency about training data after OpenAI announced a result in non-sofic groups, Thom's area of expertise. He emailed OpenAI researchers Sébastien Bubeck and Mark Sellke asking whether his ChatGPT interactions fed training or reasoning, but found the answers did not rule out indirect use. The dispute follows Tristan Buckmaster's questions about the Millennium Prize Navier-Stokes solution, where OpenAI denied using specific user data but could not rule out de-identified usage data. Researchers told The Verge they worry such competition with AI labs will make mathematics more secretive.
- Andreas Thom questioned whether his ChatGPT interactions contributed to OpenAI's non-sofic groups result
- OpenAI quietly amended its writeup after criticism for insufficiently acknowledging Thom and Gábor Kun
- OpenAI denied specific user data access for the Navier-Stokes solution but could not rule out de-identified data
- Mathematicians worry races with well-resourced AI labs will push the field toward secrecy
- Vendors
- OpenAI
- Organizations
- OpenAINew York UniversityHarvard UniversityThe Verge
- AI models
- ChatGPT
From the original article
4 min read at theverge.com
Another researcher is challenging OpenAI about the data driving its increasingly impressive array of mathematical discoveries. Just days after a bitter row erupted over whether the company's models benefited from unpublished work, a second mathematician has come forward accusing the AI giant of unethical and "dishonest" behavior and a lack of transparency about the origins of its training data.
By Robert Hart · theverge.com
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