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Yann LeCun: prediction

7 Mar 2024 Lex Fridman Podcast #416 – Yann Lecun: Meta AI, Open Source, Limits of LLMs, AGI & the Future of AI

“Before we get all those things to work together, and then on top of this, have systems that can learn hierarchical planning, hierarchical representations, systems that can be configured for a lot of different situation at hand, the way the human brain can, all of this is going to take at least a decade and probably much more because there are a lot of problems that we’re not seeing right now that we have not encountered, so we don’t know if there is an easy solution within this framework.”

— Yann LeCun

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Everything needed to verify it.

Speaker
Yann LeCun
Attribution
Verified speaker
Claim type
prediction
Recorded
7 Mar 2024
Publisher
Lex Fridman Podcast

Transcript context

…You often say that a GI is not coming soon, meaning not this year, not the next few years, potentially farther away. What’s your basic intuition behind that? So first of all, it’s not going to be an event. The idea somehow, which is popularized by science fiction and Hollywood, that somehow somebody is going to discover the secret to AGI or human-level AI or AMI, whatever you want to call it, and then turn on a machine and then we have AGI, that’s just not going to happen. It’s not going to be an event. It’s going to be gradual progress. Are we going to have systems that can learn from video how the world works and learn good representations? Yeah. Before we get them to the scale and performance that we observe in humans it’s going to take quite a while. It’s not going to happen in one day. Are we going to get systems that can have large amount of associated memory so they can remember stuff? Yeah, but same, it’s not going to happen tomorrow. There is some basic techniques that need to be developed. We have a lot of them, but to get this to work together with a full system is another story. Are we going to have systems that can reason and plan perhaps along the lines of objective-driven AI architectures that I described before? Yeah, but before we get this to work properly, it’s going to take a while. Before we get all those things to work together, and then on top of this, have systems that can learn hierarchical planning, hierarchical representations, systems that can be configured for a lot of different situation at hand, the way the human brain can, all of this is going to take at least a decade and probably much more because there are a lot of problems that we’re not seeing right now that we have not encountered, so we don’t know if there is an easy solution within this framework. So it’s not just around the corner. I’ve been hearing people for the last 12, 15 years claiming that AGI is just around the corner and being systematically wrong. I knew they were wrong when they were saying it. I called their bullshit. First of all, from the birth of the term artificial intelligence, there has been a eternal optimism that’s perhaps unlike other technologies. Is it a Moravec’s paradox, the explanation for why people are so optimistic about AGI?…

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