Neal Stephenson: Sci-Fi, Space, Aliens, AI, VR & the Future of Humanity | Lex Fridman Podcast #240

Lex Fridman · Beginner ·🎨 Image & Video AI ·4y ago
Neal Stephenson is a sci-fi writer (Snow Crash, Cryptonomicon, and new book Termination Shock), former Chief Futurist at Magic Leap and first employee of Blue Origin. Please support this podcast by checking out our sponsors: - Mizzen+Main: https://mizzenandmain.com and use code LEX to get $35 off - InsideTracker: https://insidetracker.com/lex and use code Lex25 to get 25% off - Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 month of fish oil - Grammarly: https://grammarly.com/lex to get 20% off premium - ExpressVPN: https://expressvpn.com/lexpod and use code LexPod to get 3 months free EPISODE LINKS: Neal's Twitter: https://twitter.com/nealstephenson Neal's Website: https://www.nealstephenson.com/ Termination Shock (book): https://amzn.to/3HhmDKi Snow Crash (book): https://amzn.to/3H7yFFW Cryptonomicon (book): https://amzn.to/3C01HDF The Diamond Age (book): https://amzn.to/3wxUF83 Seveneves (book): https://amzn.to/3kkhveg The Baroque Cycle, Vol. 1 (book): https://amzn.to/3koMW7n Innovation Starvation (article): https://bit.ly/3mYLSJ2 PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 OUTLINE: 0:00 - Introduction 0:43 - WWII and human nature 9:28 - Search engine morality 14:06 - Space exploration 31:07 - Aliens and UFOs 39:30 - SpaceX and Blue Origin 46:52 - Social media 51:19 - Climate change 1:03:09 - Consequences of big ideas 1:07:50 - Virtual reality 1:30:58 - Artificial intelligence 1:45:57 - Cryptocurrency 1:58:35 - Writing, storytelling, and books 2:21:13 - Martial arts 2:30:31 - Final thoughts SOCIAL: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.face
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1 Ido Portal: Movement
Ido Portal: Movement
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 2 Ryan Hall: Moral Victory
Ryan Hall: Moral Victory
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 3 Jimmy Pedro: Judo | Take It Uneasy Podcast
Jimmy Pedro: Judo | Take It Uneasy Podcast
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 4 Foundations of Deep Learning (Hugo Larochelle, Twitter)
Foundations of Deep Learning (Hugo Larochelle, Twitter)
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 5 TensorFlow Tutorial (Sherry Moore, Google Brain)
TensorFlow Tutorial (Sherry Moore, Google Brain)
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 6 Nuts and Bolts of Applying Deep Learning (Andrew Ng)
Nuts and Bolts of Applying Deep Learning (Andrew Ng)
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 7 Sequence to Sequence Deep Learning (Quoc Le, Google)
Sequence to Sequence Deep Learning (Quoc Le, Google)
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 8 Torch Tutorial (Alex Wiltschko, Twitter)
Torch Tutorial (Alex Wiltschko, Twitter)
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 9 Theano Tutorial (Pascal Lamblin, MILA)
Theano Tutorial (Pascal Lamblin, MILA)
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 10 Deep Reinforcement Learning (John Schulman, OpenAI)
Deep Reinforcement Learning (John Schulman, OpenAI)
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 11 Deep Learning for Speech Recognition (Adam Coates, Baidu)
Deep Learning for Speech Recognition (Adam Coates, Baidu)
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 12 Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
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 13 Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
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 14 Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)
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 15 Foundations and Challenges of Deep Learning (Yoshua Bengio)
Foundations and Challenges of Deep Learning (Yoshua Bengio)
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 16 MIT 6.S094: Introduction to Deep Learning and Self-Driving Cars
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
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
MIT 6.S094: Convolutional Neural Networks for End-to-End Learning of the Driving Task
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 19 MIT 6.S094: Recurrent Neural Networks for Steering Through Time
MIT 6.S094: Recurrent Neural Networks for Steering Through Time
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 20 MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
MIT 6.S094: Deep Learning for Human-Centered Semi-Autonomous Vehicles
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 21 Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars
Lex Fridman
 22 Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars
Lex Fridman
 23 MIT Sloan: Intro to Machine Learning (in 360/VR)
MIT Sloan: Intro to Machine Learning (in 360/VR)
Lex Fridman
 24 MIT 6.S094: Deep Learning
MIT 6.S094: Deep Learning
Lex Fridman
 25 MIT Self-Driving Cars (2018)
MIT Self-Driving Cars (2018)
Lex Fridman
 26 MIT 6.S094: Deep Reinforcement Learning
MIT 6.S094: Deep Reinforcement Learning
Lex Fridman
 27 MIT 6.S094: Computer Vision
MIT 6.S094: Computer Vision
Lex Fridman
 28 MIT 6.S094: Deep Learning for Human Sensing
MIT 6.S094: Deep Learning for Human Sensing
Lex Fridman
 29 MIT AGI: Artificial General Intelligence
MIT AGI: Artificial General Intelligence
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 30 MIT AGI: Building machines that see, learn, and think like people (Josh Tenenbaum)
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)
Ray Kurzweil: Future of Intelligence | MIT 6.S099: Artificial General Intelligence (AGI)
Lex Fridman
 32 Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
Lex Fridman
 33 Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)
Lisa Feldman Barrett: How the Brain Creates Emotions | MIT Artificial General Intelligence (AGI)
Lex Fridman
 34 Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)
Stephen Wolfram: Computational Universe | MIT 6.S099: Artificial General Intelligence (AGI)
Lex Fridman
 35 Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars
Lex Fridman
 36 Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
Lex Fridman
 37 MIT AGI: Cognitive Architecture (Nate Derbinsky)
MIT AGI: Cognitive Architecture (Nate Derbinsky)
Lex Fridman
 38 MIT Advanced Vehicle Technology Study (MIT-AVT)
MIT Advanced Vehicle Technology Study (MIT-AVT)
Lex Fridman
 39 MIT-AVT: Data Collection Device (for Large-Scale Semi-Autonomous Driving)
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?
Geoffrey Hinton: What are you excited about in deep learning?
Lex Fridman
 41 Ilya Sutskever: OpenAI Meta-Learning and Self-Play | MIT Artificial General Intelligence (AGI)
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
Comfortably Numb Solo | Pink Floyd Cover by Lex Fridman
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 43 Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
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 44 Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
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 45 Eric Schmidt: Google | Lex Fridman Podcast #8
Eric Schmidt: Google | Lex Fridman Podcast #8
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 46 Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
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 47 Deep Learning Basics: Introduction and Overview
Deep Learning Basics: Introduction and Overview
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 48 Deep Learning State of the Art (2019)
Deep Learning State of the Art (2019)
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 49 MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)
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 50 Self-Driving Cars: State of the Art (2019)
Self-Driving Cars: State of the Art (2019)
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 51 Drago Anguelov (Waymo) - MIT Self-Driving Cars
Drago Anguelov (Waymo) - MIT Self-Driving Cars
Lex Fridman
 52 Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
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 53 Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars
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 54 Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics | Lex Fridman Podcast #15
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 55 Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17
Greg Brockman: OpenAI and AGI | Lex Fridman Podcast #17
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 56 Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
Ian Goodfellow: Generative Adversarial Networks (GANs) | Lex Fridman Podcast #19
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 57 MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
MIT 6.S093: Introduction to Human-Centered Artificial Intelligence (AI)
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 58 Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
Lex Fridman
 59 Rajat Monga: TensorFlow | Lex Fridman Podcast #22
Rajat Monga: TensorFlow | Lex Fridman Podcast #22
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 60 Gavin Miller: Adobe Research | Lex Fridman Podcast #23
Gavin Miller: Adobe Research | Lex Fridman Podcast #23
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Chapters (15)

Introduction
0:43 WWII and human nature
9:28 Search engine morality
14:06 Space exploration
31:07 Aliens and UFOs
39:30 SpaceX and Blue Origin
46:52 Social media
51:19 Climate change
1:03:09 Consequences of big ideas
1:07:50 Virtual reality
1:30:58 Artificial intelligence
1:45:57 Cryptocurrency
1:58:35 Writing, storytelling, and books
2:21:13 Martial arts
2:30:31 Final thoughts
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