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AI auditors catch most agent misbehavior but flood reviewers with false alarms, new study finds

The Decoder

AI models can often spot problematic behavior by other AI agents in logs, according to a study by Anthropic researcher Andy Hall. GPT-5 found about 98 percent of reward-hacking cases, but the more exhaustively the search is tuned, the more false alarms pile up.

Summary drawn from The Decoder's own description of the story.

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