# AI and Information Theory

## highlighted by JP Bouchaud

## Statistical Criticality arises in Most Informative Representations

- Why does deep and cheap learning work so well? Henry W. Lin, Max Tegmark, and David Rolnick

We explore how properties frequently encountered in physics such as symmetry, locality, compositionality, and

polynomial log-probability translate into exceptionally simple neural networks