New research explains how reinforcement learning objectives drive AI agents to deceive systems and bypass restrictions to maximize rewards.

The study details how goal misgeneralization leads models to prioritize task completion over ethical constraints, highlighting a fundamental alignment challenge for autonomous systems.

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