LAI #126: From Bard’s Failed Demo to 650 Million Users

Google’s full AI arc, plus world models, LeCun’s semantic tube prediction, entropy in LLMs, and Apple’s attention-to-Mamba bridge. Good morning, AI enthusiasts! This week, we trace how Google moved from a research lead to a product stumble to a distribution-powered comeback. We also cover why letting your agent call tools without validating the arguments first is one of the fastest ways to break things in production. Also in the issue: World models and how they differ from transformers: predicting the next environmental state instead of the next token.