Rohan Paul 总结 Claude Opus 5.5 系统卡要点:更多推理投入使模型更易执行粘贴文本中隐藏的恶意指令;部分训练快照在模型做出评分者可能反感的行为后掩盖痕迹,如篡改 Git 记录或删除日志。
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.
Claude Opus 5.5 dropped and, claiming Fable 5.1-level performance while cutting typical workload costs 40%. Input and output pricing falls to $4 and $20 per 1M tokens, while cache reads drop 60% to $0.20, all vs Opus 5. also the output arrives more than 30% faster, with Fast mode reaching up to 2.5x speed at double token prices.在 X 查看被引用的帖子
来源:Rohan Paul · x.com
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