Chris Lattner: The Future of Computing and Programming Languages | Lex Fridman Podcast #131

Lex Fridman · Beginner ·🧠 Large Language Models ·5y ago
Chris Lattner is a world-class software & hardware engineer, leading projects at Apple, Tesla, Google, and SiFive. Please support this podcast by checking out our sponsors: - Blinkist: https://blinkist.com/lex and use code LEX to get a free week of premium - Neuro: https://www.getneuro.com and use code LEX to get 15% off - MasterClass: https://masterclass.com/lex to get 15% off annual sub - Cash App: https://cash.app/ and use code LexPodcast to get $10 EPISODE LINKS: Chris's Twitter: https://twitter.com/clattner_llvm Chris's Website: http://nondot.org/sabre/ 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 2:25 - Working with Elon Musk, Steve Jobs, Jeff Dean 7:55 - Why do programming languages matter? 13:55 - Python vs Swift 24:48 - Design decisions 30:06 - Types 33:54 - Programming languages are a bicycle for the mind 36:26 - Picking what language to learn 42:25 - Most beautiful feature of a programming language 51:50 - Walrus operator 1:01:16 - LLVM 1:06:28 - MLIR compiler framework 1:10:35 - SiFive semiconductor design 1:23:09 - Moore's Law 1:26:22 - Parallelization 1:30:50 - Swift concurrency manifesto 1:41:39 - Running a neural network fast 1:47:16 - Is the universe a quantum computer? 1:52:57 - Effects of the pandemic on society 2:10:09 - GPT-3 2:14:28 - Software 2.0 2:27:54 - Advice for young people 2:32:37 - Meaning of life CONNECT: - Subscribe to this YouTube channel - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/LexFridmanPage - Instagram: https://www.instagram.com/lexfridman - Medium: https://medium.com/@lexfridman - Support on Pat
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 5 TensorFlow Tutorial (Sherry Moore, Google Brain)
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 7 Sequence to Sequence Deep Learning (Quoc Le, Google)
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 10 Deep Reinforcement Learning (John Schulman, OpenAI)
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 11 Deep Learning for Speech Recognition (Adam Coates, Baidu)
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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)
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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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 19 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)
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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
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)
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)
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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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 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
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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 (23)

Introduction
2:25 Working with Elon Musk, Steve Jobs, Jeff Dean
7:55 Why do programming languages matter?
13:55 Python vs Swift
24:48 Design decisions
30:06 Types
33:54 Programming languages are a bicycle for the mind
36:26 Picking what language to learn
42:25 Most beautiful feature of a programming language
51:50 Walrus operator
1:01:16 LLVM
1:06:28 MLIR compiler framework
1:10:35 SiFive semiconductor design
1:23:09 Moore's Law
1:26:22 Parallelization
1:30:50 Swift concurrency manifesto
1:41:39 Running a neural network fast
1:47:16 Is the universe a quantum computer?
1:52:57 Effects of the pandemic on society
2:10:09 GPT-3
2:14:28 Software 2.0
2:27:54 Advice for young people
2:32:37 Meaning of life
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