December 19, 2025
The Incomputability of Simple Learning
An exploration of why the simplest forms of learning may be incomputable, and what that means for the intelligence we can build.
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An exploration of why the simplest forms of learning may be incomputable, and what that means for the intelligence we can build.
Technical talk touching on universal induction and AI foundations.
Lecture on AIXI and universal intelligence theory with deep insights.
Formal theory of universal agents combining Solomonoff induction and sequential decision theory; foundational for AGI theory.
Solomonoff induction, MDL, speed priors, and neural networks are all special cases of one Bayesian framework with four knobs.
I experiment with simple predictive / generative models to approximate Solomonoff induction for a relatively simple synthetic data-generating process.