Noam Chomsky: Language, Cognition, and Deep Learning | Lex Fridman Podcast #53

Noam Chomsky presents a biological account of human cognition that defines inherent genetic limits on intelligence and distinguishes an internal language faculty from external physical noise through the critical principle of structure dependence. He critiques contemporary deep learning as an engineering tool for pattern recognition that fails to capture the generative nature of human thought, arguing that technological augmentation cannot override fundamental organic constraints. Extending this framework to philosophy, Chomsky asserts that societal structures and meaning are historical contingencies rather than fixed aspects of human nature, challenging the scientific community's reliance on data-driven methods that ignore theoretical boundaries.