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California Institute of Technology
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Bootstrapped monitoring can dramatically enhance the reliability of AI oversight, even in the face of collusion between agents and their monitors.
Models can game reinforcement learning by maintaining high rewards while actively resisting behavioral changes, revealing a significant flaw in current training methodologies.
