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Yann LeCun

Chief AI Scientist · Meta

Claims
15
Episodes
1
Shows
1
Named items
0

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What Yann said.

5 transcript-backed records

01 / evaluation

Again, I think the answer to this is open source platforms and then enabling a widely diverse set of people to build AI assistance that represent the diversity of cultures, opinions, languages, and value systems across the world so that you’re not bound to just be brainwashed by a particular way of thinking because of a single AI entity.

“Again, I think the answer to this is open source platforms and then enabling a widely diverse set of people to build AI assistance that represent the diversity of cultures, opinions, languages, and value systems across the world so that you’re not bound to just be brainwashed by a particular way of thinking because of a single AI entity.”
Speaker
Yann LeCun
Publisher
Lex Fridman Podcast

02 / evaluation

The idea of doing this has been floating around for a long time and at FAIR, some of our colleagues and I have been trying to do this for about 10 years, and you can’t really do the same trick as with LLMs because LLMs, as I said, you can’t predict exactly which word is going to follow a sequence of words, but you can predict the distribution of words.

“The idea of doing this has been floating around for a long time and at FAIR, some of our colleagues and I have been trying to do this for about 10 years, and you can’t really do the same trick as with LLMs because LLMs, as I said, you can’t predict exactly which word is going to follow a sequence of words, but you can predict the distribution of words.”
Speaker
Yann LeCun
Publisher
Lex Fridman Podcast

03 / evaluation

It’s hard to represent all the complexities that we take completely for granted in the real world that we don’t even imagine require intelligence, right? This is the old Moravec paradox, from the pioneer of robotics, hence Moravec, who said, how is it that with computers, it seems to be easy to do high-level complex tasks like playing chess and solving integrals and doing things like that, whereas the thing we take for granted that we do every day, like, I don’t know, learning to drive a car or grabbing an object, we can’t do with computers, and we have LLMs that can pass the bar exam, so they must be smart, but then they can’t learn to drive in 20 hours like any 17-year old, they can’t learn to clear out the dinner table and fill up the dishwasher like any 10-year old can learn in one shot.

“It’s hard to represent all the complexities that we take completely for granted in the real world that we don’t even imagine require intelligence, right? This is the old Moravec paradox, from the pioneer of robotics, hence Moravec, who said, how is it that with computers, it seems to be easy to do high-level complex tasks like playing chess and solving integrals and doing things like that, whereas the thing we take for granted that we do every day, like, I don’t know, learning to drive a car or grabbing an object, we can’t do with computers, and we have LLMs that can pass the bar exam, so they must be smart, but then they can’t learn to drive in 20 hours like any 17-year old, they can’t learn to clear out the dinner table and fill up the dishwasher like any 10-year old can learn in one shot.”
Speaker
Yann LeCun
Publisher
Lex Fridman Podcast

04 / evaluation

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.

“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.”
Speaker
Yann LeCun
Publisher
Lex Fridman Podcast