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

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. That's not yet enough for reliable safety checks. The arti

This story was reported by 1 of the feeds we follow. Read the originals below — we link the source rather than rewriting it, so you can check the claim yourself.

• The Decoderthe-decoder.com/ai-auditors-catch-most-agent-misbehavior-but