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Yann LeCun
Supervised Self-Promotion

Yann LeCun

Self-supervised learning advocate and Meta’s AI chief scientist

Yann LeCun
Pabitra Moharana·Published Updated

Key takeaways

  • Yann LeCun advocates for self-supervised learning to mimic human cognition in AI development.
  • LeCun cautions against reliance on large language models due to their significant limitations.
  • He highlights LLMs' deficiencies in logical understanding, memory, and hierarchical planning.
  • LeCun actively critiques AI regulation efforts, particularly California's SB 1047 bill.
5 min

Self-supervised learning advocate and Meta’s AI chief scientist, Yann LeCun, is at the helm of Meta’s Fundamental AI Research (FAIR) lab, where his team is working on an approach known as ‘world modelling’. This effort aims to develop AI models that can acquire common sense and learn about the world in ways akin to human cognition. 

At the same time, LeCun remains sceptical about LLMs achieving human-like reasoning and planning, so much so that he advised young researchers to not work on LLMs. 

He points out several significant limitations of LLMs, including their lack of logical understanding, absence of persistent memory, limited grasp of the physical world, inability to perform hierarchical planning, and shortcomings in reasoning. He has also been involved in discussions about AI regulation, recently criticising California's SB 1047, a landmark AI Safety Bill.

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