
36 - Adam Shai and Paul Riechers on Computational Mechanics
AXRP - the AI X-risk Research Podcast
Distinctions in AI Learning Theories
This chapter examines the differences between computational mechanics and singular learning theory in the context of AI systems. It discusses the implications of these theories on understanding intelligence, showcasing the dynamics of inference, prediction, and active inference methodologies. Additionally, the chapter highlights a web application that simulates token prediction tasks to illustrate the complexities of context and learning within transformer models.
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