Intro

This chapter explores inference scaling and introduces the scaling paradox, highlighting the complex relationship between AI capabilities and diminishing returns on neural network parameters. It examines how advancements in AI deviate from traditional tech trends, emphasizing the substantial computational resources needed for meaningful accuracy improvements.