Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258

ℹ️ EPISODE INFO

Released

January 22, 2022

Duration

2h 45m

Channel

Lex Fridman Podcast

Watch on YouTube

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📝 EPISODE DESCRIPTION

Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the seminal researchers in the history of machine learning. Please support this podcast by checking out our sponsors:

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EPISODE LINKS: Yann's Twitter: https://twitter.com/ylecun Yann's Facebook: https://www.facebook.com/yann.lecun Yann's Website: http://yann.lecun.com/ Books and resources mentioned: Self-supervised learning (article): https://bit.ly/3Aau1DQ PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 0:36 - Self-supervised learning 10:55 - Vision vs language 16:46 - Statistics 22:33 - Three challenges of machine learning 28:22 - Chess 36:25 - Animals and intelligence 46:09 - Data augmentation 1:07:29 - Multimodal learning 1:19:18 - Consciousness 1:24:03 - Intrinsic vs learned ideas 1:28:15 - Fear of death 1:36:07 - Artificial Intelligence 1:49:56 - Facebook AI Research 2:06:34 - NeurIPS 2:22:46 - Complexity 2:31:11 - Music 2:36:06 - Advice for young people SOCIAL:

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🎤 SPEAKERS

• Lex Fridman

  host

• Yann LeCun

  guest

• Narrator

  other

🧾 EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Yann LeCun, Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258 explores yann LeCun explains dark matter of intelligence: self-supervised learning Yann LeCun argues that today's dominant paradigms—supervised and reinforcement learning—are far too data- and trial-hungry compared to how humans and animals actually learn. He frames self-supervised learning as the 'dark matter of intelligence': the largely unexplored mechanism by which brains build rich world models from raw observation. LeCun details why predictive, gap-filling learning from video and multimodal data is likely our best path toward common-sense physical understanding and eventually human-level AI, stressing differentiable, gradient-based systems over symbolic logic. He also ranges into topics like emotions in AI, consciousness, complexity, the future of conferences and peer review, Meta/FAIR’s role, and the societal impact of social platforms.

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