AITAIT NotionKolmogorov ComplexitySolomonoff Induction Singular Learning Theory extends AIT to provide new prediction error bounds that explain everything from Bayesian learning in neural networks to OOD generalizationFrom SLT to AIT: NN generalisation out-of-distribution — LessWrongTL;DR: This post derives an upper bound on the prediction error of Bayesian learning on neural networks. Unlike the bound from vanilla Singular Learn…https://www.lesswrong.com/posts/2MX2bXreTtntB85Zy/from-slt-to-ait-nn-generalisation-out-of-distribution