Yann LeCun: Dark Matter of Intelligence and Self-Supervised Learning | Lex Fridman Podcast #258

Yann LeCun is the Chief AI Scientist at Meta, professor at NYU, Turing Award winner, and one of the seminal researchers in the history of machine learning. Please support this podcast by checking out our sponsors:

EPISODE LINKS:
Books and resources mentioned:

PODCAST INFO:

OUTLINE:
0:00 - Introduction
0:36 - Self-supervised learning
10:55 - Vision vs language
16:46 - Statistics
22:33 - Three challenges of machine learning
28:22 - Chess
36:25 - Animals and intelligence
46:09 - Data augmentation
1:07:29 - Multimodal learning
1:19:18 - Consciousness
1:24:03 - Intrinsic vs learned ideas
1:28:15 - Fear of death
1:36:07 - Artificial Intelligence
1:49:56 - Facebook AI Research
2:06:34 - NeurIPS
2:22:46 - Complexity
2:31:11 - Music
2:36:06 - Advice for young people

SOCIAL:

[lexfridman]

Here are the timestamps. Please check out our sponsors to support this podcast.
0:00 - Introduction & sponsor mentions:
0:36 - Self-supervised learning
10:55 - Vision vs language
16:46 - Statistics
22:33 - Three challenges of machine learning
28:22 - Chess
36:25 - Animals and intelligence
46:09 - Data augmentation
1:07:29 - Multimodal learning
1:19:18 - Consciousness
1:24:03 - Intrinsic vs learned ideas
1:28:15 - Fear of death
1:36:07 - Artificial Intelligence
1:49:56 - Facebook AI Research
2:06:34 - NeurIPS
2:22:46 - Complexity
2:31:11 - Music
2:36:06 - Advice for young people

[ikust]

That gentleman must have created for himself one of the most fantastic job ever : to meet brilliant minds and to LEARN every time . Bravo !

[stevehutchison]

This just came up on my YouTube feed two years later. Wow, what an extraordinarily prescient discussion.

[labordaze]

I think this was my favorite Lex podcast. No other *(super popular) podcaster has the technical proficiency to go so deep into a discussion of computer vision. This is why I'm subbed.

[zebrawien]

In my opinion one of the best of your podcasts. I watched them all by the way on a sidenote.

[SallyErfanian]

Many people including me are indebted to the perseverance of people like Yann LeCun. Luckily for me, I got to meet him and thank him. What an inspiring person.

[paris_mars]

I really liked this conversation. This guy's awesome.
As a kind of related aside, the auto-generated CC are amazing for someone with such a strong French accent.

[binod]

Blessed to have Yann to be in your podcast finally. Most deserving figure in the field of modern computer and AI.

[McSwey]

The beauty of this channel. Finally, someone who can talk to so many people about so many advanced things.

[Mostafa-cvjc]

Can't get enough of him, hope this series (with lecun) goes to round 20!

[TimeLordRaps]

This is worth multiple watch through. For understanding learning, learn what you find different on each watch to begin to learn your own instincts.

[odoylrulz]

Lex, thanks for putting together high quality interviews with rock stars of the nerd-verse. I appreciate these videos a lot 😬, keep it up 👍

[marzx]

Yes! About time to do a second round. Really looking forward to this

[jovialpunch]

STOKED, 3 hour podcast with Tom Arnold! I fkn loved him in True Lies!

[norabelrose]

58:27
LeCun: "GPT-5000 would never learn that a phone sitting on a table will move with the table when you push it"
GPT-4: *in depth physics explanation about the conditions in which the phone would move with the table and when it would slide off*

[mrkasper]

Love the words of wisdom at the end of every podcast Lex! They really tie an elegant bow to the whole conversation. Generally just love your podcasts! Been following since you started and I am forever grateful for the amount of uploads as well as the wide variety of topics you bring up in them. Keep up the good work!

[haakoflo]

I see Yann, and I like immediately. Geoff may be the grandfather of the field, but Yann still has ideas that are super-interesting going forward.

[SevenFootPelican]

Lex, this was a phenomenal conversation! This is why I keep coming back to your podcasts. Keep up the incredible work.

[generichuman_]

It's interesting coming back to this now. I put Yann's example of the smart phone on the table through GPT4 and of course it got the right answer

"If the smartphone was on the table and you pushed the table 5 feet to the left, the smartphone would also move 5 feet to the left, assuming it stayed on the table during the push. So, relative to where it started, the smartphone is now 5 feet to the left."

It's just interesting that people at the bleeding edge of this technology didn't realize how competent these system could get using only text.

[Augustinrouchon]

Thank you for these conversation. It keeps my brain working.