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Yann LeCun: evaluation

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

“First, that would be incredibly expensive, but it will also be completely impossible because you don’t know all the conditions of what’s going to happen, how long it’s going to take to catch a taxi or to go to the airport with traffic.”

— Yann LeCun

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

Transcript context

…So yes, for a model predictive control, but you also often talk about hierarchical planning. Can hierarchical planning emerge from this somehow? Well, so no, you will have to build a specific architecture to allow for hierarchical planning. So hierarchical planning is absolutely necessary if you want to plan complex actions. If I want to go from, let’s say from New York to Paris, it’s the example I use all the time, and I’m sitting in my office at NYU, my objective that I need to minimize is my distance to Paris. At a high level, a very abstract representation of my location, I would have to decompose this into two sub goals. First one is go to the airport, second one is catch a plane to Paris. Okay, so my sub goal is now going to the airport. My objective function is my distance to the airport. How do I go to the airport where I have to go in the street and hail a taxi, which you can do in New York. Okay, now I have another sub goal go down on the street. Well that means going to the elevator, going down the elevator, walk out the street. How do I go to the elevator? I have to stand up from my chair, open the door in my office, go to the elevator, push the button. How do I get up for my chair? You can imagine going down, all the way down, to basically what amounts to millisecond by millisecond muscle control. And obviously you’re not going plan your entire trip from New York to Paris in terms of millisecond by millisecond muscle control. First, that would be incredibly expensive, but it will also be completely impossible because you don’t know all the conditions of what’s going to happen, how long it’s going to take to catch a taxi or to go to the airport with traffic. I mean, you would have to know exactly the condition of everything to be able to do this planning and you don’t have the information. So you have to do this hierarchical planning so that you can start acting and then sort of replanning as you go. And nobody really knows how to do this in AI. Nobody knows how to train a system to learn the appropriate multiple levels of representation so that hierarchical planning works. Does something like that already emerge? So can you use an LLM, state-of-the-art LLM, to get you from New York to Paris by doing exactly the kind of detailed set of questions that you just did, which is, can you give me a list of 10 steps I need to do, to get from New York to Paris? And then for each of those steps, can you give me a list of 10 steps, how I make that step happen? And for each of those steps, can you give me a list of 10 steps to make each one of those, until you’re moving your individual muscles, maybe not, whatever you can actually act upon using your own mind.…

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