
#8 – Sara Hooker: Big AI, The Compute Frenzy, and Grumpy Models
Scaling Theory
Intro
This chapter delves into the fundamental principles of scaling laws in artificial intelligence, elucidating the factors that influence AI system performance. It also examines the paradox where smaller models can exceed larger ones in effectiveness, while discussing the implications for governance strategies in the AI sector.
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