Beyond Matrix Multiplication: Decoding the Internal Worlds of LLMs

Mechanistic Interpretability has emerged as a 2026 breakthrough, providing empirical evidence that LLMs develop sophisticated internal world models rather than just performing surface-level statistics. This shift fundamentally challenges the 'stochastic parrot' narrative and redefines our understanding of AI's capacity for logical reasoning and representation.