What's Missing Between LLMs and AGI - Vishal Misra & Martin Casado
About this episode
From the show’s notesVishal Misra returns to explain his latest research on how LLMs actually work under the hood. He walks through experiments showing that transformers update their predictions in a precise, mathematically predictable way as they process new information, explains why this still doesn't mean they're conscious, and describes what's actually required for AGI: the ability to keep learning after training and the move from pattern matching to understanding cause and effect.
Resources:
Read the show’s notes in full
Follow Vishal Misra on X: x.com/vishalmisra
Follow Martin Casado on X: x.com/martin_casado
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