Turing Award Winner Judea Pearl: Causal Models Are Key to AGI

In a recent podcast interview, Turing Award winner Judea Pearl criticized the current large language model approach, arguing that it lacks causal understanding and cannot lead to AGI. He advocates combining causal models with language models to enable machines to perform intervention and counterfactual reasoning.