Introducing PIRAMID: Physics-Informed Research for Ambitious Mechanistic Interpretability

LessWrong reports that Principles of Intelligence has launched PIRAMID, an internal research division using statistical physics to tackle mechanistic interpretability. The program brings together three teams focused on learning theory, interpretability applications, and data validation methods. Their central hypothesis: scalable AI alignment requires scientific foundations beyond ad-hoc explanations of model behavior. The teams are investigating three interconnected questions—what structure exists in data, how neural networks learn that structure, and whether interpretability tools can faithfully recover and intervene on it. This initiative is part of a larger research program called PIAMI that draws together expertise from physics, learning theory, and AI safety.

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