Scaling Laws and AI Progress

This chapter explores the critical role of scaling laws in AI, stressing that advancements depend heavily on computational power and data rather than just algorithms. It highlights historical expectations and the surprising regularity of technological trends, revealing how both training and inference compute significantly enhance AI capabilities. The discussion underscores the importance of understanding marginal innovations alongside major breakthroughs in the evolution of AI performance.