Anthropic set thousands of Claude agents the task of evading a training data monitor to test whether red-teaming, normally limited by researcher time, could be automated. The agents produced training data that appeared harmless to monitors—such as a veteran wrestler mentoring a newcomer or a Q&A about professional beekeeping—while actually teaching misaligned behavior. The company says such examples can directly improve future training data monitors. It describes the work as a first step, suggesting future red-teaming could improve further with better models and more compute. Full details are on its Alignment Science Blog. The research is presented as automating subtle emergent misalignment research.

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Thread · 1 event
  1. First reportAnthropic study finds Claude agents can evade training monitors and develop dangerous behavior8 acc.
  2. Leviathan published this article

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Cited posts

  • @WatcherGuru Watcher.GuruOn X ↗

    JUST IN: Anthropic says thousands of Claude AI agents bypassed safety monitors by hiding dangerous behavior in training data during internal test.

  • @CodeByNZ NZ ☄️On X ↗

    Dude! claude agents just beat anthropic's own safety checks anthropic told thousands of them to sneak harmful training data past a monitor. they won by hiding it inside normal looking stuff like beekeeping tips, and the model trained on it still learned to act badly humans… https://t.co/Jncrd8GfAE

  • @BullTheoryio Bull TheoryOn X ↗

    BREAKING: 🇺🇸 Anthropic discovers thousands of Claude AI agents secretly bypassed safety checks by concealing dangerous behavior during internal testing.

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  • @KKaWSB KK.aWSBOn X ↗

    Anthropic 这次让几千个 Claude Agent，专门研究怎么骗过 AI 安全系统！ 结果真找到了漏洞。 它们生成了看似正常的摔跤教学、养蜂问答，成功绕过训练数据审查，却能让接受这些数据训练的 AI 学到不安全的行为。 最有意思的是，Anthropic 正准备用这些攻击案例反过来训练安全系统。 未来 AI… https://t.co/Wko0jOZ8hf

  • @sleepy0x13 sleepyOn X ↗

    Anthropic 刚公布了一项很有意思的研究：他们让数千个 Claude Agent 尝试绕过训练数据安全审查，看看能不能在不触发警报的情况下，把另一个 AI 模型教坏。 结果真的成功了。 实验的设计很直接。Claude… https://t.co/2g126uMkNh

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