
36 - Adam Shai and Paul Riechers on Computational Mechanics
AXRP - the AI X-risk Research Podcast
Exploring Predictions Under Resource Constraints
This chapter examines how prediction can be optimized within the limits of resource availability, specifically through computational mechanics and Bayesian statistics. It highlights the relevance of rate distortion theory and discusses the promising role of quantum information and neural networks in enhancing predictive capabilities.
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