Singular Learning Theory with Jesse Hoogland
Singular Learning Theory (SLT) is a novel mathematical framework that expands and improves upon traditional Statistical Learning theory using techniques from algebraic geometry, bayesian statistics, and statistical physics. It has great promise for the mathematical foundations of modern machine learning.
Executive director at Timaeus – an AI safety research org working on Developmental Interpretability (also see developmental interpretability on Less Wrong)
Website: jessehoogland.com
Twitter: @jesse_hoogland
