Episode

What's Missing Between LLMs and AGI - Vishal Misra & Martin Casado

Podcast
AI + a16z
Published
Mar 17, 2026
Duration seconds
2855
Processing state
not_requested
Canonical source
https://ai-a16z.simplecast.com/episodes/whats-missing-between-llms-and-agi-vishal-misra-martin-casado-fr0HSPWZ
Audio
https://mgln.ai/e/1344/afp-848985-injected.calisto.simplecastaudio.com/112866f3-1a50-4a8d-b12e-850b73e71b33/episodes/ee9cbcb0-7302-445e-b996-a42f69092340/audio/128/default.mp3?aid=rss_feed&awCollectionId=112866f3-1a50-4a8d-b12e-850b73e71b33&awEpisodeId=ee9cbcb0-7302-445e-b996-a42f69092340&feed=Hb_IuXOo
JSON
/v1/public/podcasts/ai-a16z-6874937/episodes/what-s-missing-between-llms-and-agi-vishal-misra-martin-casado
Markdown
/podcast/ai-a16z-6874937/what-s-missing-between-llms-and-agi-vishal-misra-martin-casado.md

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Summary

Vishal 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.