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cs.LG2026
Benign interpolation and Occam's razor
Tom F. Sterkenburg, Daniel A. Herrmann, Jan-Willem Romeijn
Contemporary deep learning methods generalize well even when they fit their training data perfectly, a phenomenon known as benign interpolation. This phenomenon cannot be accounted…
cs.AI2026
Radical AI Interpretability
Daniel A. Herrmann, Benjamin A. Levinstein
We develop a framework for interpreting AI systems as agents, drawing on the philosophical tradition of radical interpretation and the tools of mechanistic interpretability. The co…