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LLM agents suffer from a human-like cognitive bias, Actor-Observer Asymmetry, leading them to make inconsistent judgments about their own and others' failures.
Ditch the rigid safety codes: case-augmented reasoning unlocks safer, more helpful LLMs that are also more robust to attacks.
