Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. This conversation is part of the Artificial Intelligence podcast:

Video: https://www.youtube.com/watch?v=SGSOCuByo24

Audio: https://lexfridman.com/yann-lecun

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Outline:

0:00 – Introduction

1:11 – HAL 9000 and Space Odyssey 2001

7:49 – The surprising thing about deep learning

10:40 – What is learning?

18:04 – Knowledge representation

20:55 – Causal inference

24:43 – Neural networks and AI in the 1990s

34:03 – AGI and reducing ideas to practice

44:48 – Unsupervised learning

51:34 – Active learning

56:34 – Learning from very few examples

1:00:26 – Elon musk: deep learning and autonomous driving

1:03:00 – Next milestone for human-level intelligence

1:08:53 – Her

1:14:26 – Question for an AGI system