I'm explaining Hamiltonian Monte Carlo in my grad-level stats class tomorrow, so I put together this animation illustrating HMC in one dimension. I find it very soothing.

Decoding the Dilemma of Solomonoff Prediction: Implications for AI and Inductive Reasoning

The Solomonoff prediction framework offers a fascinating yet complex approach to assigning probability to hypotheses based on their complexity. However, its inherent issues of computability and univer...

https://news.lavx.hu/article/decoding-the-dilemma-of-solomonoff-prediction-implications-for-ai-and-inductive-reasoning

I'm teaching my first lecture at the new job today, about probabilistic logic programming, probabilistic inference, and (weighted) model counting.

Some of the required reading is a paper (https://eccc.weizmann.ac.il/eccc-reports/2003/TR03-003/index.html) that was written by a great mentor of mine, prof. dr. Fahiem Bacchus. He passed away just over 2 years ago, and I am honoured to keep his memory alive by teaching his ideas to a new generation of students. Hope to do him proud.

Please send good vibes?