This is a really cool way to analyze the probabilities of minesweeper states from a statistical physics perspective.

As a physicist, I have always been drawn towards philosophical works that tackle the deep questions I was trying to understand. This article really resonated with that part of myself. There is more to being a physicist than pure calculation or experimentation. The curiosity and interest for the knowledge about our reality is what drives us, and it is something we have in common with philosophers.

Toy example of how to use neural networks to solve differential equations. This blew my mind when I first read it.

An in-depth description of the connections between diffusion models and Riemannian geometry.