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Yann LeCun on Objective-Driven AI and Why LLMs Won't Get Us to AGI
Sam Charrington — TWIML AI

Yann LeCun on Objective-Driven AI and Why LLMs Won't Get Us to AGI

USA / FranceApr 22, 2024 1h 34m
Guest:Yann LeCunChief AI Scientist, Meta
ResearchAGIOpen Source

AI Atlas summary

Sam Charrington and Yann LeCun on JEPA, world models, why autoregressive LLMs are a dead-end for AGI, and Meta's open-source strategy.

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Explain like I'm 5

Meta's top AI scientist explains why he thinks today's chatbots are impressive but missing something important, and how his lab is trying to build AI that really understands the world.

Top 5 takeaways

  1. 1JEPA-style world models are more likely to reach human-like understanding than pure LLMs.
  2. 2Open-source foundation models raise the floor for the whole ecosystem.
  3. 3Video prediction, not text prediction, is the next big bet.
  4. 4Planning + hierarchical reasoning are missing from today's chatbots.
  5. 5Regulation should target applications, not research.

Companies mentioned

MetaMeta FAIR

Models mentioned

Llama 3V-JEPA

Related on AI Atlas

  • company
    Meta
  • research
    V-JEPA
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Sam Charrington — TWIML AI
@twimlai · USA

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