Peter Wang: Python and the Source Code of Humans, Computers, and Reality | Lex Fridman Podcast #250

Lex Fridman · Beginner ·🛡️ AI Safety & Ethics ·4y ago
Peter Wang is the co-founder & CEO of Anaconda and one of the most impactful leaders and developers in the Python community. Also, he is a physicist and philosopher. Please support this podcast by checking out our sponsors: - Quip: https://getquip.com/lex to get first refill free - Magic Spoon: https://magicspoon.com/lex and use code LEX to get $5 off - GiveWell: https://www.givewell.org/ and use code LEX to get donation matched up to $1k - Four Sigmatic: https://foursigmatic.com/lex and use code LexPod to get up to 60% off - BetterHelp: https://betterhelp.com/lex to get 10% off EPISODE LINKS: Peter's Twitter: https://twitter.com/pwang Anaconda's Website: https://www.anaconda.com/ Books & resources mentioned: Zen and the Art of Motorcycle Maintenance (book): https://amzn.to/3EnCELK Lila (book): https://amzn.to/30VKIpE 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 0:33 - Python 4:04 - Programming language design 24:07 - Virtuality 34:07 - Human layers 41:05 - Life 46:29 - Origin of ideas 49:01 - Eric Weinstein 54:00 - Human source code 57:58 - Love 1:12:16 - AI 1:25:39 - Meaning crisis 1:48:12 - Travis Oliphant 1:54:38 - Python continued 2:24:21 - Best setup 2:31:39 - Advice for the youth 2:40:12 - Meaning of Life SOCIAL: - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Reddit: https://reddit.com/r/lexfridman - Support on Patreon: https://www.patreon.com/lexfridman
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 5 TensorFlow Tutorial (Sherry Moore, Google Brain)
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 10 Deep Reinforcement Learning (John Schulman, OpenAI)
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 12 Deep Learning for Natural Language Processing (Richard Socher, Salesforce)
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 13 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)
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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
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
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 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
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 23 MIT Sloan: Intro to Machine Learning (in 360/VR)
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)
MIT Self-Driving Cars (2018)
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 26 MIT 6.S094: Deep Reinforcement Learning
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)
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)
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 32 Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars
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)
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)
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
Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars
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 37 MIT AGI: Cognitive Architecture (Nate Derbinsky)
MIT AGI: Cognitive Architecture (Nate Derbinsky)
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 38 MIT Advanced Vehicle Technology Study (MIT-AVT)
MIT Advanced Vehicle Technology Study (MIT-AVT)
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 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?
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 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
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 43 Yoshua Bengio: Deep Learning | Lex Fridman Podcast #4
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 44 Jeff Atwood: Stack Overflow and Coding Horror | Lex Fridman Podcast #7
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 45 Eric Schmidt: Google | Lex Fridman Podcast #8
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 46 Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10
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 47 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
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 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
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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)
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 58 Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21
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 59 Rajat Monga: TensorFlow | Lex Fridman Podcast #22
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 60 Gavin Miller: Adobe Research | Lex Fridman Podcast #23
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Chapters (17)

Introduction
0:33 Python
4:04 Programming language design
24:07 Virtuality
34:07 Human layers
41:05 Life
46:29 Origin of ideas
49:01 Eric Weinstein
54:00 Human source code
57:58 Love
1:12:16 AI
1:25:39 Meaning crisis
1:48:12 Travis Oliphant
1:54:38 Python continued
2:24:21 Best setup
2:31:39 Advice for the youth
2:40:12 Meaning of Life
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