Hosted by Lex Fridman
Conversations about AI, science, technology, history, philosophy, and the nature of intelligence.
Verified discussions, clashes, and revelations from Lex Fridman
Turing Award winner Yann LeCun explains why an eight-month-old human baby understands more about physical reality than the largest multi-billion parameter language model.
"A cat has a mental model of the world that allows it to pounce on a mouse. No current AI system has the common sense of a house cat."
Meta's Chief AI Scientist Yann LeCun explains why predicting the next token is an architectural dead end for true intelligence, and why AI needs world models that understand physical cause and effect.
"Autoregressive generation is inherently flawed for planning because errors accumulate exponentially with the number of generated tokens."
Indexed conversation sources
Meta's Chief AI Scientist Yann LeCun explains his World Model architecture (JEPA), why autoregressive LLMs are an off-ramp, and debates Lex Fridman on consciousness and machine intuition.
