Andrej Karpathy on the visionary AI in Tesla's autonomous driving

1

Introduction

00:00 • 2min

2

Tesla's AI Director

01:34 • 2min

3

CS 231N: The First Deep Learning Class at Stanford

04:02 • 2min

4

Deep Learning - What Is It All About?

06:17 • 4min

5

Deep Learning Is a Different Class of Programming

10:36 • 4min

6

How Did You Become a Consultant at Tesla?

14:10 • 2min

7

Transition to Renewable Energy - What's the Tesla Mission Statement?

16:38 • 3min

8

Working With Elon Musk?

19:25 • 3min

9

Driverless Cars - What's the Back Story?

22:16 • 2min

10

Neural Networks - Why Variability Makes It Hard?

23:56 • 2min

11

How to Integrate a Deep Neural Network

25:28 • 2min

12

How Do You Source Inaccuracies in Your Neural Network?

27:38 • 2min

13

Scaling Up Neural Networks in Deep Learning

29:55 • 2min

14

Is the Algorithm Design and Modeling Secret?

31:49 • 2min

15

The New Programming Paradigm - Software 2.0

33:53 • 3min

16

Is It Just a Neural Network?

36:40 • 3min

17

The Robot Brains Podcast - How to Build Confidence in a Neural Network

39:35 • 2min

18

Is the Full Cell Driving Beta Getting There?

41:56 • 2min

19

Operation Vacation

43:59 • 3min

20

The Role of Data Annotation in AI

47:12 • 2min

21

The Class of Approaches to Self-Supervised Learning

48:58 • 2min

22

Is Tesla Building a Chip for AI?

51:13 • 2min

23

Deep Learning Chips

53:22 • 2min

24

Is More Compute the Only Way to Succeed in AI?

54:58 • 3min

25

How Tesla Is Different From Other Cars?

58:11 • 3min

26

Sleeping at Tesla

01:01:22 • 2min

27

The Future of Artificial Intelligence

01:03:13 • 3min