OpenAI 回应数学研究数据争议

OpenAI 无法排除去标识化产品使用数据可能帮助改进模型，但强调其证明方法存在显著差异。

OpenAI 的回应 https://t.co/wxNHGN7NDI

OpenAI 的回应 x.com/OpenAI/status/… OpenAI @OpenAI We congratulate Levent Alpöge and Tristan Buckmaster on their remarkable mathematical work. We (the researchers and the agents) did not see any of their work through any means until they released it publicly — in particular, no specific user data was accessed in order to solve this problem. While unlikely, we cannot rule out that de-identified data derived from their usage of our products helped improve our models. However, our proofs differ significantly and even the precise results proved are different in the Euler case (forced vs. unforced). 🔗 View Quoted Tweet

This report is categorized under AITOP's "Industry" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI regulation, compliance frameworks, and sovereign compute policy. Key entities and technical topics under continuous tracking include OpenAI, math research, data privacy.

Source attribution: curated from 宝玉 (@dotey). Cross-source corroboration: 11 independent sources have covered this development (including 小互, Gary Marcus, IT之家), confirming industry-wide signal strength.