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.
Jesse Hoogland is a researcher working on developmental interpretability. He is also Executive Director @ Timaeus - timaeus.co
jessehoogland.com
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