Stephen Wolfram: Fundamental Theory of Physics, Life, and the Universe | Lex Fridman Podcast #124

Lex Fridman · Beginner ·🛡️ AI Safety & Ethics ·5y ago
Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist. Please check out our sponsors to get a discount and to support this podcast: - SimpliSafe: https://simplisafe.com/lex - Sun Basket, use code LEX: https://sunbasket.com/lex - MasterClass: https://masterclass.com/lex EPISODE LINKS: Wolfram Physics Project: https://www.wolframphysics.org/ Stephen's Twitter: https://twitter.com/stephen_wolfram Stephen's Blog: https://writings.stephenwolfram.com Books: - A New Kind of Science: https://amzn.to/3kotO6S - A Project to Find the Fundamental Theory of Physics: https://amz…
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Chapters (27)

Introduction
7:14 Key moments in history of physics
12:43 Philosophy of science
14:37 Science and computational reducibility
22:08 Predicting the pandemic
38:58 Sunburn moment with Wolfram Alpha
39:46 Computational irreducibility
46:45 Theory of everything
52:41 General relativity
1:01:16 Quantum mechanics
1:06:46 Unifying the laws of physics
1:12:01 Wolfram Physics Project
1:29:53 Emergence of time
1:34:11 Causal invariance
1:53:03 Deriving physics from simple rules on hypergraphs
2:07:24 Einstein equations
2:13:04 Simulating the physics of the universe
2:17:28 Hardware specs of the simulation
2:24:37 Quantum mechanics in Wolfram physics model
2:42:46 Double-slit experiment
2:45:13 Quantum computers
2:53:21 Getting started with Wolfram physics project
3:14:46 The rules that created our universe
3:24:22 Alien intelligences
3:32:29 Meta-mathematics
3:37:58 Why is math hard?
3:52:55 Sabine Hossenfelder and how beauty leads physics astray

Playlist

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 14 Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
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 15 Foundations and Challenges of Deep Learning (Yoshua Bengio)
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 16 MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
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 17 MIT 6.S094: Deep Reinforcement Learning for Motion Planning
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 18 MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
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 20 MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
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 22 Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
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 23 MIT Sloan: Intro to Machine Learning (in 360/VR)
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 24 MIT 6.S094: Deep Learning
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 25 MIT Self-Driving Cars (2018)
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 26 MIT 6.S094: Deep Reinforcement Learning
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 27 MIT 6.S094: Computer Vision
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 28 MIT 6.S094: Deep Learning for Human Sensing
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 29 MIT AGI: Artificial General Intelligence
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 30 MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
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 31 Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)
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 32 Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
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 33 Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)
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 34 Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)
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 35 Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
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 36 Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
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 37 MIT AGI: Cognitive Architecture (Nate Derbinsky)
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 38 MIT Advanced Vehicle Technology Study (MIT-AVT)
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 39 MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)
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 40 Geoffrey Hinton: What are you excited about in deep learning?
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 41 Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
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 42 Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman
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 48 Deep Learning State of the Art (2019)
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 49 MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
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 50 Self-Driving Cars: State of the Art (2019)
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 57 MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
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