The Future of Artificial Intelligence?

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In deep learning, there's no like amazing textbooks and a field is changing very quickly. These books like the cell are kind of outdated. They're still high level. Like what is the actual real source of truth? It's people in wet labs working with cells,. And I don't have that much exposure to that or what that looks like. So I'm waiting for textbooks that worth recommending worth reading.

Andrej Karpathy is a legendary AI researcher, engineer, and educator. He’s the former director of AI at Tesla, a founding member of OpenAI, and an educator at Stanford. Please support this podcast by checking out our sponsors:
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Books mentioned:
The Vital Question: https://amzn.to/3q0vN6q
Life Ascending: https://amzn.to/3wKIsOE
The Selfish Gene: https://amzn.to/3TCo63s
Contact: https://amzn.to/3W3y5Au
The Cell: https://amzn.to/3W5f6pa

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:41) – Neural networks
(10:45) – Biology
(16:15) – Aliens
(26:27) – Universe
(38:18) – Transformers
(46:34) – Language models
(56:45) – Bots
(1:03:05) – Google’s LaMDA
(1:10:28) – Software 2.0
(1:21:28) – Human annotation
(1:23:25) – Camera vision
(1:28:30) – Tesla’s Data Engine
(1:32:39) – Tesla Vision
(1:39:09) – Elon Musk
(1:44:17) – Autonomous driving
(1:49:11) – Leaving Tesla
(1:54:39) – Tesla’s Optimus
(2:03:45) – ImageNet
(2:06:23) – Data
(2:16:15) – Day in the life
(2:29:31) – Best IDE
(2:36:37) – arXiv
(2:41:06) – Advice for beginners
(2:50:24) – Artificial general intelligence
(3:03:44) – Movies
(3:09:37) – Future of human civilization
(3:13:56) – Book recommendations
(3:20:05) – Advice for young people
(3:21:56) – Future of machine learning
(3:28:44) – Meaning of life