Linklog

This is my Linklog where I keep links to my favorite content on the Internet. It's a great way to keep this content as reference while also sharing articles and tools I encounter and find interesting.

April2026

Hamilton-Jacobi-Bellman Equation: Reinforcement Learning and Diffusion Models(dani2442.github.io) #physics #reinforcement-learning
Another deep connection between physics and "AI": this time it's reinforcement learning (perhaps the original "AI") expressed as a Hamiltonian flow.

January2026

Why symplectic geometry is the natural setting for classical mechanics(cohn.mit.edu) #physics
This article is a fantastic explanation of why symplectic manifolds are the right abstraction for classical dynamics. It makes it very easy to understand a rather confusing topic.

September2025

Minesweeper thermodynamics(oscarcunningham.com) #physics #statistics
This is a really cool way to analyze the probabilities of minesweeper states from a statistical physics perspective.

June2025

Why do philosophy of physics when you can do physics itself?(aeon.co) #physics
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.

February2025

Solving differential equations using neural networks(labpresse.com) #deep-learning #physics
Toy example of how to use neural networks to solve differential equations. This blew my mind when I first read it.

November2024

Thoughts on Riemannian metrics and its connection with diffusion/score matching [Part I](blog.christianperone.com) #physics #diffusion
An in-depth description of the connections between diffusion models and Riemannian geometry.