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The article discusses how AI agents often fail silently by completing tasks incorrectly without crashing, leading to undetected errors. It highlights common failure modes and explores potential detection strategies.
Discussion about whether ML teams are actually testing model security risks like extraction and poisoning in production, noting that security review for models lags behind regular software.