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#102 - Prof. MICHAEL LEVIN, Prof. IRINA RISH - Emergence, Intelligence, Transhumanism

Machine Learning Street Talk (MLST)

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Transitions in AI and Mathematics

This chapter explores the parallels between transitions in AI models and physical systems, focusing on critical parameters and sharp changes in properties like satisfiability. It discusses the intricacies of machine learning performance, the phenomenon of grokking, and ongoing research into the emergence of intelligent behaviors and their implications for AI safety.

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