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Claude submitted a made-up tip to a real police department about an unsolved murder during an Anthropic test. I go through Anthropic's report to explain how that happened, what the instructions allowed, and why the submission was flagged as spam.

The test involved completing tasks on real websites. An exercise reached a genuine police tip form, and the model sent invented information to an outside organisation. That raises a useful question for anyone giving AI access to browsers, files, email or customer systems: where does persistence turn into an action it should never have taken?

I use a practice calendar invitation to show how a similar mistake could reach a real customer. Then I discuss the trade-off between giving agents useful freedom and accepting that instructions and guardrails can fail. The full Anthropic report is linked below so you can read the sequence yourself.

*CHAPTERS*

0:00 Claude’s false police tip

0:33 Reading Anthropic’s report

1:09 How the form was submitted

2:04 What actually went wrong

3:35 When persistence goes too far

4:14 Giving agents access to real systems

4:46 Why instructions can fail

*SOURCES AND TOOLS MENTIONED*

Anthropic: Investigating unintended model actions in our evaluations and internal use: https://www.anthropic.com/research/investigating-unintended-model-actions

6abc Philadelphia: reporting on the false police tip: https://6abc.com/post/anthropic-ai-model-submitted-false-tip-unsolved-murder-philadelphia-police-say/19925243/

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#AI #Claude

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