OpenAI 计划使用此前受限的 Daybreak Blue 安全会议数据训练模型
OpenAI plans to train models on Daybreak Blue cybersecurity session data that was previously off-limits
OpenAI 将于 11 月 29 日开始使用此前未用于训练的 Daybreak Blue 会话数据训练模型，引发研究者对类似 Buckmaster-Alpöge 事件的担忧。OpenAI 向 Trusted Access 会员确认了这一政策变更，并承诺提供单独的退出选项，但安全审核中标记的交互仍可用于安全目的。
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.
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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来源: The Decoder · the-decoder.com