David Eagleman: Neuroplasticity and the Livewired Brain | Lex Fridman Podcast #119

Lex Fridman · Beginner ·🧠 Large Language Models ·5y ago
David Eagleman is a neuroscientist at Stanford. Support this podcast by supporting our sponsors: - Athletic Greens: https://athleticgreens.com/lex - BetterHelp: https://betterhelp.com/lex - Cash App: download app & use code "LexPodcast" EPISODE LINKS: David's Website: https://www.eagleman.com/ David's Twitter: https://twitter.com/davideagleman Livewired (book): https://amzn.to/3ba4ezv Incognito (book): https://amzn.to/3lkNASh 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 5:05 - Livewired 16:39 - Hardware vs software 25:53 - Brain-computer interfaces 35:12 - 2020 is a challenge for neuroplasticity 46:08 - Free will 50:43 - Nature of evil 58:55 - Psychiatry 1:06:28 - GPT-3 1:13:31 - Intelligence in the brain 1:21:51 - Neosensory 1:31:27 - Book recommendations 1:34:07 - Meaning of life 1:36:53 - Advice for young people 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 Patreon: https://www.patreon.com/lexfridman
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 5 TensorFlow Tutorial (Sherry Moore, Google Brain)
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 6 Nuts and Bolts of Applying Deep Learning (Andrew Ng)
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 7 Sequence to Sequence Deep Learning (Quoc Le, Google)
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 8 Torch Tutorial (Alex Wiltschko, Twitter)
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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)
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
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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
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 20 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)
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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
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
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 52 Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars
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 53 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
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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 (14)

Introduction
5:05 Livewired
16:39 Hardware vs software
25:53 Brain-computer interfaces
35:12 2020 is a challenge for neuroplasticity
46:08 Free will
50:43 Nature of evil
58:55 Psychiatry
1:06:28 GPT-3
1:13:31 Intelligence in the brain
1:21:51 Neosensory
1:31:27 Book recommendations
1:34:07 Meaning of life
1:36:53 Advice for young people
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