OpenAI 计划将此前被排除的 Daybreak Blue 网络安全会话数据用于模型训练
OpenAI plans to train models on Daybreak Blue cybersecurity session data that was previously off-limits
- 1OpenAI 邮件确认 11 月 29 日起用 Daybreak Blue 会话数据训练模型
- 2此前该数据即使关闭为所有人改进模型设置也不用于训练，政策转向引发快速反弹
- 3OpenAI 第二封邮件承诺单独退出选项，安全审查标记的交互仍可用于安全用途
- 4研究者担心重演类似事件，数学家草稿上传 Codex 后 OpenAI 很快给出解法
OpenAI 将此前明确排除的专业会话数据改为默认用于训练，靠事后退出选项回应反弹，数据使用的默认边界发生了实质变化。
- 影响：企业和研究团队在这类专业会话中的输入可能进入训练，关闭改进设置即被排除的旧做法被改变；涉密或阶段性成果需在 11 月 29 日生效前核实单独退出选项并评估上传边界。
- 参考：可考虑盘点团队在 Daybreak Blue 会话中输入内容的敏感程度；值得在生效日前确认单独退出选项的设置路径；涉密工作流可先评估改用合同约定数据隔离的服务。
- 依据：OpenAI 致 Trusted Access 成员的邮件为直接依据，由 The Decoder 转述，属官方口径尚无独立验证；反弹与退出承诺均来自邮件内容。
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：AI News · the-decoder.com