Evidence receipt / evaluation
Published · transcript-backedYann LeCun: evaluation
7 Mar 2024 Lex Fridman Podcast #416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI
“I think people are fundamentally good and in fact, a lot of doomers are doomers because they don’t think that people are fundamentally good.”
Source trail
Everything needed to verify it.
- Speaker
- Yann LeCun
- Attribution
- Verified speaker
- Claim type
- evaluation
- Recorded
- 7 Mar 2024
- Publisher
- Lex Fridman Podcast
Transcript context
…I believe that people are fundamentally good, and so if AI, especially open source AI can make them smarter, it just empowers the goodness in humans. So I share that feeling. Okay. I think people are fundamentally good and in fact, a lot of doomers are doomers because they don’t think that people are fundamentally good. 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, Yann 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 Yann get into a lot of intense and fascinating discussions online as we do in this very conversation. This is the Lex Fridman podcast. To support it, please check out our sponsors in the description. And now, dear friends, here’s Yann LeCun. You’ve had some strong statements, technical statements about the future of artificial intelligence throughout your career actually, but recently as well, you’ve said that autoregressive LLMs are not the way we’re going to make progress towards superhuman intelligence. These are the large language models like GPT-4, like Llama 2 and 3 soon and so on. How do they work and why are they not going to take us all the way?…
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