Lex Fridman Podcast
#416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI
Thu, 07 Mar 2024
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
Full Episode
The following is a conversation with Yann LeCun, his third time on this podcast. He is the chief AI scientist at Meta, professor at NYU, Turing Award winner, and one of the seminal figures in the history of artificial intelligence.
He and Meta AI have been big proponents of open sourcing AI development and have been walking the walk by open sourcing many of their biggest models, including Llama 2 and eventually Llama 3. Also, Jan has been an outspoken critic of those people in the AI community who warn about the looming danger and existential threat of AGI. He believes the AGI will be created one day, but it will be good.
It will not escape human control, nor will it dominate and kill all humans. At this moment of rapid AI development, this happens to be somewhat a controversial position. And so it's been fun seeing Jan get into a lot of intense and fascinating discussions online, as we do in this very conversation. And now a quick few second mention of each sponsor. Check them out in the description.
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And now onto the full ad reads, never any ads in the middle. I try to make these interesting. I don't know why I'm talking like this, but I am. There's a staccato nature to it. Speaking of staccato, I've been playing a bit of piano. Anyway, if you skip these ads, please still check out the sponsors. We love them. I love them. I enjoy their stuff. Maybe you will too.
This episode is brought to you by a on-theme, in-context, see what I did there, sponsor. Since this is Yann LeCun, artificial intelligence, machine learning, one of the seminal figures in the field. So of course you're going to have a sponsor that's related to artificial intelligence. Hidden Layer, they provide a platform that keeps your machine learning models secure.
The ways to attack machine learning models, large language models, all the stuff we talk about with Jan, there's a lot of really fascinating work, not just large language models, but the same for video, video prediction, tokenization, where the tokens are in the space of concept versus the space of literally letters, symbols.
japa v japa all of that stuff that they're open sourcing all the stuff they're publishing on just really incredible but that said all of those models have security holes in ways that we can't even anticipate or imagine at this time and so you want good people to be trying to find those security holes trying to be one step ahead of uh the people that trying to attack so if you're especially a company that's relying on these models you need to uh
have a person who's in charge of saying, yeah, this model that you got from this place has been tested, has been secured. Whether that place is Hugging Face or any other kind of stuff, or any other kind of repository or model zoo kind of place. I think the more and more we rely on large language models or just AI systems in general, the more the security threats that are always going to be there
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