An overview of the theory of overparameterized machine learning

This article likely provides a high-level summary of the theoretical underpinnings of overparameterized machine learning models. It would probably discuss concepts like generalization, the double descent curve, and the role of implicit regularization. The source, Hacker News, suggests a technical audience.