OpenAI计划对以往禁止使用的"黎明"蓝网络安全会话数据进行模型培训。

OpenAI计划对以往禁止使用的"黎明"蓝网络安全会话数据进行模型培训。

从11月29日开始，OpenAI将使用"黎明蓝会话"数据来训练其模型。 一封给 Trusted Access 程序成员的电子邮件证实了这一变化。 此前，这种数据被排除在培训之外，即使用户有"改进每个人的模型"启动关闭。 OpenAI随后又发了第二个电子邮件，安全审查期间标示的相互作用仍可用于安全目的。

这一变化让研究者担心巴克马斯特-阿尔波格案的重复。 数学家特里斯坦·巴克马斯特(Tristan Buckmaster)和勒文特·阿尔波赫(Levent Alpöge)将纳维耶-斯托克斯等方程式草稿上传到OpenAI的"法典". OpenAI很快提交了自己的证明，但否认使用他们的投入进行培训。 但光是怀疑就足以让研究者知道什么是错的。

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OpenAI plans to train models on Daybreak Blue cybersecurity session data that was previously off-limits

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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