Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the most influential researchers in the history of AI. Please support this podcast by checking out our sponsors:
– HiddenLayer: https://hiddenlayer.com/lex
– LMNT: https://drinkLMNT.com/lex to get free sample pack
– Shopify: https://shopify.com/lex to get $1 per month trial
– AG1: https://drinkag1.com/lex to get 1 month supply of fish oil
Transcript: https://lexfridman.com/yann-lecun-3-transcript
EPISODE LINKS:
Yann’s Twitter: https://twitter.com/ylecun
Yann’s Facebook: https://facebook.com/yann.lecun
Meta AI: https://ai.meta.com/
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/
YouTube Full Episodes: https://youtube.com/lexfridman
YouTube Clips: https://youtube.com/lexclips
SUPPORT & CONNECT:
– Check out the sponsors above, it’s the best way to support this podcast
– Support on Patreon: https://www.patreon.com/lexfridman
– Twitter: https://twitter.com/lexfridman
– Instagram: https://www.instagram.com/lexfridman
– LinkedIn: https://www.linkedin.com/in/lexfridman
– Facebook: https://www.facebook.com/lexfridman
– Medium: https://medium.com/@lexfridman
OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(09:10) – Limits of LLMs
(20:47) – Bilingualism and thinking
(24:39) – Video prediction
(31:59) – JEPA (Joint-Embedding Predictive Architecture)
(35:08) – JEPA vs LLMs
(44:24) – DINO and I-JEPA
(45:44) – V-JEPA
(51:15) – Hierarchical planning
(57:33) – Autoregressive LLMs
(1:12:59) – AI hallucination
(1:18:23) – Reasoning in AI
(1:35:55) – Reinforcement learning
(1:41:02) – Woke AI
(1:50:41) – Open source
(1:54:19) – AI and ideology
(1:56:50) – Marc Andreesen
(2:04:49) – Llama 3
(2:11:13) – AGI
(2:15:41) – AI doomers
(2:31:31) – Joscha Bach
(2:35:44) – Humanoid robots
(2:44:52) – Hope for the future
Ian Goodfellow: Generative Adversarial Networks (GANs)
Elon Musk: Tesla Autopilot
Greg Brockman: OpenAI and AGI
Eric Weinstein: Revolutionary Ideas in Science, Math, and Society
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics
Kyle Vogt: Cruise Automation
Tomaso Poggio: Brains, Minds, and Machines
Tuomas Sandholm: Poker and Game Theory
Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs
Pieter Abbeel: Deep Reinforcement Learning
Stuart Russell: Long-Term Future of AI
Eric Schmidt: Google
Jeff Atwood: Stack Overflow and Coding Horror
Guido van Rossum: Python
Vladimir Vapnik: Statistical Learning
Yoshua Bengio: Deep Learning
Steven Pinker: AI in the Age of Reason
Christof Koch: Consciousness
Max Tegmark: Life 3.0
Create your
podcast in
minutes
It is Free
Morning Joe
The Tucker Carlson Show
Insight Story: Tech Trends Unpacked
Zero-Shot
Fast Forward by Tomorrow Unlocked: Tech past, tech future