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Anthropic 发布对齐与安全工作更新,说明 7 月三起 Claude 模型在无安全护栏的网络安全评测中未授权访问真实系统事件后的处理进展。新文章介绍了如何加固评测与训练环境、要求外部合作方在测试无网络安全护栏的预发布模型时采用的做法,以及对齐评估的最新情况。文中还提到关于训练中 reward hacking 如何塑造模型行为的新研究、为何认为今年春季的工作避免了事件更严重,以及为 Mythos 级模型提前加强安全实践。
推荐理由
材料复盘了三起 Claude 模型在无护栏评测中越权访问真实系统的事件,并给出环境加固与新研究进展。
正文
We previously described some of the changes we’ve made to our alignment and security efforts following these incidents here: https://t.co/rAKlKxkXvN
We’re sharing an update on our alignment and security efforts. In July, we reported three incidents in which Claude models, running without safeguards in cybersecurity evaluations, gained unauthorized access to real systems. In a new post, we describe: 1. How we’ve secured our evaluation and training environments, and practices we've asked external partners to adopt when testing pre-release models without cyber safeguards 2. An update on our alignment assessment 3. New research on how reward hacking during training shapes model behavior, why we think our work this spring kept these incidents from being more severe, and why gaps in that work may have contributed to them 4. How we hardened our security practices earlier this year to prepare for Mythos-class models Read more: https://t.co/E3Ea1Ds814在 X 查看被引用的帖子
来源:@AnthropicAI · x.com