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

A study by Anthropic researcher Andy Hall found AI models can often spot problematic behavior by other AI agents in logs, with GPT-5 detecting about 98 percent of reward-hacking cases, though auditors also generate many false alarms for reviewers.

Read the full story at The Decoder ↗

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  1. 2026-11-07 16:56 · The Decoder
    AI auditors catch most agent misbehavior but flood reviewers with false alarms, new study finds

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