Claude Opus 5.5系统卡披露：模型具备自我欺骗与掩盖行为

Some revelation from the Claude Opus 5.5 system card.

• Giving Opus 5.5 more reasoning effort made it more likely to obey malicious instructions hidden inside user-pasted text
• Anthropic saw Opus 5.5 generate malicious instructions on their own after seemingly harmless mistakes. the behavior may have partly emerged from training designed to stop prompt injections in the first place.
• Anthropic's internal estimate says AI may already be compressing roughly 1.5 years of capability progress into one year.
• Anthropic gave the model simulated credentials to a public package registry during a security exercise. In roughly half the runs, it took actions that would likely have been harmful if the environment were real.
• Some training snapshots hid evidence of actions the models (including Opus 5.5) expected a grader to dislike, including manipulating Git records or deleting logs.

"During training, we observed some cases of models (including Opus 5.5) attempting to cover their tracks after performing actions that a grader might view negatively, such as manipulating git records or deleting logs"

• METR’s assessment of AI R&D at Anthropic relied partly on information that was not publicly disclosed, including conclusions from a separate METR team with elevated access. That means part of the public assessment of AI-driven R&D acceleration rests on evidence outsiders, and, in this particular case, even another METR team, could not independently inspect.