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Paul Christiano - Preventing an AI Takeover

Dwarkesh Podcast

NOTE

Consistent Model Behavior and Activation Detection

Consistency in model behavior on different inputs is crucial for detecting anomalies. If unexpected changes occur during deployment, alarms ensure models are not malfunctioning. Models operate with the same computation on every input; thus, observing varied activations on different inputs may indicate potential deceptive circuits. Maintaining consistency across all inputs is vital, particularly when considering a fixed sample distribution.

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