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1. The Theory of Universal Computation: Bayesian Optimality, Solomonoff Induction & AIXI

   This article aims to make AIXI accessible to data scientists, technical enthusiasts and general audiences both conceptually and formally. It covers probability axioms, Bayesian inference, Kolmogorov complexity, Solomonoff induction, and the AIXI formalism.

   2025-09-23 Tags: kubernetes, aixi, universal computation, bayesian optimality, solomonoff induction, algorithmic probability, artificial intelligence, machine learning, kolmogorov complexity by klotz
2. Pretrained Transformers as Universal Computation Engines – The Berkeley Artificial Intelligence Research Blog

   Pretrained Transformers as Universal Computation Engines

   2022-04-27 Tags: transformers, universal computation, machine learning, uc berkeley, bair, deep learning, transfer learning, ontology by klotz

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