Why Physics Transfers Perfectly to ML: Modeling, Statistics, and Scaling Laws
himanshustwts · x · 2026-09-24
The author argues that physics became a victim of its own success, but its intellectual toolkit transfers perfectly to machine learning: theoretical physicists are trained to identify key variables in complex systems, build mathematical models, reason statistically, simulate computationally, and hunt for scaling laws — arguably the best possible match for modern ML.
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