OpenAI 拟用 Daybreak Blue 安全数据训练模型引发争议
OpenAI 计划自 11 月 29 日起将此前排除在训练之外的 Daybreak Blue 网络安全会话数据纳入模型训练范围。此举迅速引发研究人员与用户强烈反弹，迫使 OpenAI 承诺提供单独的退出选项，但信任危机已对 AI 实验室的数据伦理边界提出挑战。
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OpenAI plans to train models on Daybreak Blue cybersecurity session data that was previously off-limits
[Matthias Bastian](https://the-decoder.com/author/matthias-bastian/) [View the LinkedIn Profile of Matthias Bastian](https://www.linkedin.com/in/matthias-bastian-128b71b1/) Oct 31, 2026 
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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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