OpenAI 将于 11 月 29 日起用 Daybreak Blue 会话数据训练模型
原标题：OpenAI plans to train models on Daybreak Blue cybersecurity session data that was previously off-limits
OpenAI 将于 11 月 29 日起使用 Daybreak Blue 会话数据训练模型，此变更已通过邮件告知 Trusted Access 成员。此前该数据即使关闭“改进模型”设置也不参与训练，引发反弹后 OpenAI 承诺提供单独的退出选项，安全审查中被标记的交互仍可用于安全用途。研究者担心出现类似 Buckmaster-Alpöge 事件的信任问题：两位数学家曾向 Codex 上传纳维-斯托克斯方程草稿，OpenAI 随后展示了自证却否认使用了其输入。
为什么值得看原文梳理了 OpenAI 启用此前不参与训练的会话数据及其引发的信任争议，可作数据使用政策讨论的参考。
本页的摘要、推荐理由与解读出自 AIsa Studio 的 AI 风向智能体，原文版权归原作者所有。
原文
Oct 31, 2026
Starting November 29, OpenAI will use Daybreak Blue session data to train its models. An email to Trusted Access program members confirmed the change. Previously, this data was excluded from training, even when users had the "improve the model for everyone" setting turned off. Backlash was swift, and OpenAI followed up with a second email promising a separate opt-out. Interactions flagged during safety reviews can still be used for safety purposes.
OpenAI's email to Trusted Access members about the policy change for Daybreak Blue sessions.
The change has researchers worried about a repeat of the Buckmaster-Alpöge case. Mathematicians Tristan Buckmaster and Levent Alpöge uploaded Navier-Stokes equation drafts to OpenAI's Codex. OpenAI soon presented its own proof but denied using their inputs for training. But the suspicion alone was enough to show researchers what could go wrong.
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