Silvio Micali: Cryptocurrency, Blockchain, Algorand, Bitcoin & Ethereum | Lex Fridman Podcast #168

Lex Fridman · Beginner ·🏗️ Systems Design & Architecture ·5y ago
Silvio Micali is a computer scientist at MIT, Turing award winner, and founder of Algorand. Please support this podcast by checking out our sponsors: - Athletic Greens: https://athleticgreens.com/lex and use code LEX to get 1 month of fish oil - The Information: https://theinformation.com/lex to get 75% off first month - 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: Silvio's Twitter: https://twitter.com/silviomicali Algorand's Twitter: https://twitter.com/Algorand Algorand's Website: https://www.algorand.com/ 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 1:59 - Blockchain 4:56 - Cryptocurrency 7:45 - Money 11:59 - Scarcity 13:41 - Scalability, Security, and Decentralization 17:06 - Algorand 33:40 - Bitcoin 36:43 - Ethereum 38:14 - NFTs 41:38 - Decentralization of power 45:46 - Intelligent adaptation 48:28 - Leaders 51:35 - Freedom 54:34 - Privacy 57:18 - Bitcoin maximalism 1:01:04 - Satoshi Nakamoto 1:05:42 - One-way function 1:09:55 - Pseudorandomness 1:14:38 - Free will 1:16:43 - Will quantum computers break cryptography? 1:21:48 - Interactive proofs 1:28:41 - Mechanism design 1:36:08 - Favorite meal 1:39:21 - Book recommendations 1:46:18 - Advice for young people 1:48:52 - Fear of death 1:51:33 - Meaning of life SOCIAL: - 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 - Reddit: https://reddit.com/r/lexfridman - Support on Pat
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2 Ryan Hall: Moral Victory
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3 Jimmy Pedro: Judo | Take It Uneasy Podcast
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4 Foundations of Deep Learning (Hugo Larochelle, Twitter)
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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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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
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
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
MIT 6.S094: Computer Vision
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28 MIT 6.S094: Deep Learning for Human Sensing
MIT 6.S094: Deep Learning for Human Sensing
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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)
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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
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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)
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)
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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)
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
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 (28)

Introduction
1:59 Blockchain
4:56 Cryptocurrency
7:45 Money
11:59 Scarcity
13:41 Scalability, Security, and Decentralization
17:06 Algorand
33:40 Bitcoin
36:43 Ethereum
38:14 NFTs
41:38 Decentralization of power
45:46 Intelligent adaptation
48:28 Leaders
51:35 Freedom
54:34 Privacy
57:18 Bitcoin maximalism
1:01:04 Satoshi Nakamoto
1:05:42 One-way function
1:09:55 Pseudorandomness
1:14:38 Free will
1:16:43 Will quantum computers break cryptography?
1:21:48 Interactive proofs
1:28:41 Mechanism design
1:36:08 Favorite meal
1:39:21 Book recommendations
1:46:18 Advice for young people
1:48:52 Fear of death
1:51:33 Meaning of life
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