
What's Missing Between LLMs and AGI - Vishal Misra & Martin Casado
About this episode
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.
Resources:
Follow Vishal Misra on X: https://x.com/vishalmisra
Follow Martin Casado on X: https://x.com/martin_casado
Stay Updated:
Find a16z on YouTube: YouTube
Find a16z on X
Find a16z on LinkedIn
Listen to the a16z Show on Spotify
Listen to the a16z Show on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Get every episode summarized
Each time The a16z Show publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The a16z Show

How AI Is Rewriting the Power Law of Venture Capital
The a16z Show

Who Grades the AI Models? | Ben Horowitz & Rayan Krishnan
The a16z Show

OpenAI Researchers on the Future of Mathematical Reasoning
The a16z Show

Can Open Source Keep AI Power From Concentrating?
The a16z Show