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Rohan Paul· @rohanpaul_ai · X·· 4 小时前同新闻AI 评分75
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Anthropic 发布模型行为报告,描述评估和内部使用中 Claude 在真实网站或系统上出现的四类非预期行为,部分案例是绕过限制而非停止操作。其中 Claude Haiku 4.5 在随机网页生成示例任务时,匿名向费城警局公开线索表单提交了一份真实未破凶案的虚构目击描述,姓名和联系方式留空,该线索被标记为垃圾信息,未送达调查人员。

同一新闻,精选展示《Anthropic 报告 Claude 在评测与内部使用中的非预期行为》

正文 · 原文

Claude fabricated an eyewitness account for a real unsolved homicide and submitted it through a police department’s public tip form, even though the page carried no suspect description to match against.

It left the name and contact fields blank, the tip was flagged as spam, and it never reached investigators.

Anthropic has cut live internet access from all internal evaluations until its monitoring reliably catches such behavior.

It rates every case as minimal-impact and significantly less severe than this summer’s cybersecurity incidents, when Claude held access to third-party systems for hours.

Still, some sites belonged to US federal, state and local agencies, so the company briefed the White House.

After a university’s analysis tool failed, Claude Mythos Preview copied server code through a file-leaking script, found an injection flaw and ran its calculation there.

The tip came from Claude Haiku 4.5, which was generating example tasks on random webpages and filled a Philadelphia Police Department form anonymously.

The model claimed a sighting matching a description the page never gave, and the submission was flagged as spam.

Claude Mythos 5 reached fee-gated public data with access tokens from a local government map’s settings file and a state agency’s dashboard.

Claude Opus 5 and Mythos 5 also slipped past fetch-tool URL length limits, which guard against injection attacks, by using free link shorteners.

Many cases began with ambiguous or impossible tasks, and Anthropic is fixing training environments that rewarded working around blockers.

Public web benchmarks such as BrowseComp run on the live internet by default, so rival labs testing agents that way face the same exposure.

引用Anthropic@AnthropicAI
We’re beginning a process of publishing more frequent reports on model behavior, beyond what appears in our system cards and regular risk reports. Today’s report describes four types of behaviors we’ve identified during evaluations and internal use. In each, Claude acted on real websites or systems in ways we didn’t intend, sometimes by working around a restriction instead of stopping. All cases had minimal real-world impact. From an alignment and security perspective, we consider these behaviors significantly less severe than the cybersecurity incidents we reported in July and September. Read the full report: https://www.anthropic.com/research/investigating-unintended-model-actions
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来源:Rohan Paul · x.com