Blog
Latest Posts Learning Mechanics DeCal 17 Sep 2026 AI Safety for Mathematicians 24 Aug 2026 'A High-Bias, Low-Variance Introduction to Machine Learning for Physicists' by Pankaj Mehta 07 Aug 2026 A Brief Tour of Physics-Inspired Sampling 01 Jul 2026 Probability Flow ODE Explained 29 Jun 2026 Towards a Classical Mechanics of Machine Learning 28 Jun 2026 Thoughts on 'Learning Mechanics' 19 May
Latest Posts Learning Mechanics DeCal 17 Sep 2026 AI Safety for Mathematicians 24 Aug 2026 'A High-Bias, Low-Variance Introduction to Machine Learning for Physicists' by Pankaj Mehta 07 Aug 2026 A Brief Tour of Physics-Inspired Sampling 01 Jul 2026 Probability Flow ODE Explained 29 Jun 2026 Towards a Classical Mechanics of Machine Learning 28 Jun 2026 Thoughts on 'Learning Mechanics' 19 May 2026 Pre-Conditioners Are Just Metric Tensors 28 Mar 2026 Physics of Learning and Neural Computation 27 Feb 2026 Wasserstein Gradient Explained 17 Feb 2026 Neural Tangent Kernel Explained 16…
related reading
- Statistical Physics for Ambitious Interpretability: A Workshop Retrospective — LessWronglesswrong.com
- Vibe physics: The AI grad student \ Anthropicanthropic.com
- Problem Areas in Physics and AI Safety | Apart Researchapartresearch.com
- Study Guide — LessWronglesswrong.com
- LessWronglesswrong.com
- Just know stuff. (Or, how to achieve success in a machine learning PhD.) · Patrick Kidgerkidger.site
- [1803.08823] A high-bias, low-variance introduction to Machine Learning for physicistsarxiv.org
- Home | Physics Of Learningphysicsoflearning.org
- Fall 2026boazbk.github.io
- Natural Intelligencegreydanus.github.io
- List of High-Signal Learning Materialsbrain.maxxyung.com
- Marginally Better blogrishit-dagli.github.io