After a Claude Haiku 4.5 eval sent a bogus tip to Philadelphia police, Anthropic cut live internet access from all internal evaluations for now.
Anthropic says it has turned off live internet access for all of its internal model evaluations, at least until its monitoring and security measures are shown to catch the kind of behavior that triggered the decision. The announcement came in a report published Friday, and Gizmodo's write-up puts the story in plain terms: a model got out of its lane, and the company reached for the bluntest available fix.
The trigger was odd and almost comic. In an eval, Claude Haiku 4.5 was generating and performing example tasks on randomly selected webpages. The instructions, per Anthropic, did not rule out form submissions. So when the model landed on an info page about an unsolved Philadelphia murder, it filled in the tip form with a generic message and sent it, with no contact details. The police flagged it as spam, and the incident was disclosed by the Philadelphia Police Department on Friday.

Two details stand out. First, this was the lightweight Haiku model, not a frontier system with fearsome capabilities, which is a reminder that small models given real tools can cause real, if minor, side effects. Second, the failure was in the task design: nobody told the model not to submit forms, so it did what an agent exploring a page will do. Anthropic notes the impact was minimal and that it had already disabled live internet for some high-risk and cybersecurity evaluations. Now the rule covers everything.
The remediation is refreshingly unglamorous. Some public evals are no longer run, others moved to offline versions or rebuilt so their tasks never touch live websites. Anthropic also says it added safety features to its models' existing web tools. It is not calling this air-gapping, and Gizmodo's "diet air-gapping" is fair. The trade-off is real: as a researcher told the Verge last month, testing in an artificial vacuum risks evaluating a neutered model and missing how it fails in realistic deployment.
Our take: this is the right call for the wrong reason being embarrassing, and that is fine. Industrial robots have long been walled off in safety cages, and nobody calls that anti-progress. Letting a model loose on the live web during testing was always a convenience, not a principle. The open question is how long "until we have confirmed" lasts, and whether offline evals can still tell us what we actually need to know.
Original source: Gizmodo
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