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Transcriptions of Lex Fridman Podcast podcast

212 episodes 640K views

Transcript of Lex Fridman #1: Seven Levels of Coronavirus Attack and How We Can Fight Back

The coronavirus pandemic is a global tragedy, but it is also a moment that unites us, that reveals the strength of our community, the human capacity to be compassionate to each other and to work hard in the face of danger. In this episode I describe what, to me, might be 7 levels of attack on our society and how we can fight back. For each level, I describe our pain, our challenge, and our hope for a positive future on the other side. Fill out this one-question survey on whether you want to see more solo episodes like these:

  • 31:56
  • 2.1K views
  • Published over 5 years ago

Transcript of #82 – Simon Sinek: Leadership, Hard Work, Optimism and the Infinite Game

Simon Sinek is an author of several books including Start With Why, Leaders Eat Last, and his latest The Infinite Game. He is one of the best communicators of what it takes to be a good leader, to inspire, and to build businesses that solve big difficult challenges. Support this podcast by signing up with these sponsors: – MasterClass: https://masterclass.com/lex – Cash App – use code “LexPodcast” and download: – Cash App (App Store): https://apple.co/2sPrUHe – Cash App (Google Play): https://bit.ly/2MlvP5w EPISODE LINKS: Simon twitter: https://twitter.com/simonsinek Simon facebook: https://www.facebook.com/simonsinek Simon website: https://simonsinek.com/ Books: – Infinite Game: https://amzn.to/2WxBH1i – Leaders Eat

  • 38:16
  • 3.2K views
  • Published over 5 years ago

Transcript of #81 – Anca Dragan: Human-Robot Interaction and Reward Engineering

Anca Dragan is a professor at Berkeley, working on human-robot interaction — algorithms that look beyond the robot’s function in isolation, and generate robot behavior that accounts for interaction and coordination with human beings. Support this podcast by supporting the sponsors and using the special code: – Download Cash App on the App Store or Google Play & use code “LexPodcast”  EPISODE LINKS: Anca’s Twitter: https://twitter.com/ancadianadragan Anca’s Website: https://people.eecs.berkeley.edu/~anca/ This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium,

  • 01:39:01
  • 2.1K views
  • Published over 5 years ago

Transcript of #80 – Vitalik Buterin: Ethereum, Cryptocurrency, and the Future of Money

Vitalik Buterin is co-creator of Ethereum and ether, which is a cryptocurrency that is currently the second-largest digital currency after bitcoin. Ethereum has a lot of interesting technical ideas that are defining the future of blockchain technology, and Vitalik is one of the most brilliant people innovating this space today. Support this podcast by supporting the sponsors with a special code: – Get ExpressVPN at https://www.expressvpn.com/lexpod – Sign up to MasterClass at https://masterclass.com/lex EPISODE LINKS: Vitalik blog: https://vitalik.ca Ethereum whitepaper: http://bit.ly/3cVDTpj Casper FFG (paper): http://bit.ly/2U6j7dJ Quadratic funding (paper): http://bit.ly/3aUZ8Wd Bitcoin whitepaper: https://bitcoin.org/bitcoin.pdf Mastering Ethereum (book): https://amzn.to/2xEjWmE This conversation is part

  • 01:35:31
  • 3.9K views
  • Published over 5 years ago

Transcript of #79 – Lee Smolin: Quantum Gravity and Einstein’s Unfinished Revolution

Lee Smolin is a theoretical physicist, co-inventor of loop quantum gravity, and a contributor of many interesting ideas to cosmology, quantum field theory, the foundations of quantum mechanics, theoretical biology, and the philosophy of science. He is the author of several books including one that critiques the state of physics and string theory called The Trouble with Physics, and his latest book, Einstein’s Unfinished Revolution: The Search for What Lies Beyond the Quantum. EPISODE LINKS: Books mentioned: – Einstein’s Unfinished Revolution by Lee Smolin: https://amzn.to/2TsF5c3 – The Trouble With Physics by Lee Smolin: https://amzn.to/2v1FMzy – Against Method by Paul Feyerabend:

  • 01:10:19
  • 2.6K views
  • Published over 5 years ago

Transcript of #78 – Ann Druyan: Cosmos, Carl Sagan, Voyager, and the Beauty of Science

Ann Druyan is the writer, producer, director, and one of the most important and impactful communicators of science in our time. She co-wrote the 1980 science documentary series Cosmos hosted by Carl Sagan, whom she married in 1981, and her love for whom, with the help of NASA, was recorded as brain waves on a golden record along with other things our civilization has to offer and launched into space on the Voyager 1 and Voyager 2 spacecraft that are now, 42 years later, still active, reaching out farther into deep space than any human-made object ever has. This was

  • 01:09:40
  • 2.3K views
  • Published over 5 years ago

Transcript of #77 – Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science

Alex Garland is a writer and director of many imaginative and philosophical films from the dreamlike exploration of human self-destruction in the movie Annihilation to the deep questions of consciousness and intelligence raised in the movie Ex Machina, which to me is one of the greatest movies on artificial intelligence ever made. I’m releasing this podcast to coincide with the release of his new series called Devs that will premiere this Thursday, March 5, on Hulu. EPISODE LINKS: Devs: https://hulu.tv/2x35HaH Annihilation: https://hulu.tv/3ai9Eqk Ex Machina: https://www.netflix.com/title/80023689 Alex IMDb: https://www.imdb.com/name/nm0307497/ Alex Wiki: https://en.wikipedia.org/wiki/Alex_Garland This conversation is part of the Artificial Intelligence podcast. If

  • 01:11:37
  • 2.3K views
  • Published over 5 years ago

Transcript of #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI

Marcus Hutter is a senior research scientist at DeepMind and professor at Australian National University. Throughout his career of research, including with Jürgen Schmidhuber and Shane Legg, he has proposed a lot of interesting ideas in and around the field of artificial general intelligence, including the development of the AIXI model which is a mathematical approach to AGI that incorporates ideas of Kolmogorov complexity, Solomonoff induction, and reinforcement learning. EPISODE LINKS: Hutter Prize: http://prize.hutter1.net Marcus web: http://www.hutter1.net Books mentioned: – Universal AI: https://amzn.to/2waIAuw – AI: A Modern Approach: https://amzn.to/3camxnY – Reinforcement Learning: https://amzn.to/2PoANj9 – Theory of Knowledge: https://amzn.to/3a6Vp7x This conversation

  • 01:40:23
  • 2.4K views
  • Published over 5 years ago

Transcript of #74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI

Michael I. Jordan is a professor at Berkeley, and one of the most influential people in the history of machine learning, statistics, and artificial intelligence. He has been cited over 170,000 times and has mentored many of the world-class researchers defining the field of AI today, including Andrew Ng, Zoubin Ghahramani, Ben Taskar, and Yoshua Bengio. EPISODE LINKS: (Blog post) Artificial Intelligence—The Revolution Hasn’t Happened Yet This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where

  • 01:46:17
  • 2.4K views
  • Published over 5 years ago

Transcript of #73 – Andrew Ng: Deep Learning, Education, and Real-World AI

Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me. EPISODE LINKS: Andrew Twitter: https://twitter.com/AndrewYNg Andrew Facebook: https://www.facebook.com/andrew.ng.96 Andrew LinkedIn: https://www.linkedin.com/in/andrewyng/ deeplearning.ai: https://www.deeplearning.ai landing.ai: https://landing.ai AI Fund: https://aifund.ai/ AI for Everyone: https://www.coursera.org/learn/ai-for-everyone The Batch newsletter: https://www.deeplearning.ai/thebatch/ This conversation is part of the Artificial Intelligence podcast. If you would like to

  • 01:29:29
  • 4.8K views
  • Published over 5 years ago

Transcript of #72 – Scott Aaronson: Quantum Computing

Scott Aaronson is a professor at UT Austin, director of its Quantum Information Center, and previously a professor at MIT. His research interests center around the capabilities and limits of quantum computers and computational complexity theory more generally. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it

  • 01:34:09
  • 3.3K views
  • Published over 5 years ago

Transcript of Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles

Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel. He’s known for his work on the AMD K7, K8, K12 and Zen microarchitectures, Apple A4, A5 processors, and co-author of the specifications for the x86-64 instruction set and HyperTransport interconnect. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars

  • 01:35:11
  • 5.4K views
  • Published over 5 years ago

Transcript of David Chalmers: The Hard Problem of Consciousness

David Chalmers is a philosopher and cognitive scientist specializing in philosophy of mind, philosophy of language, and consciousness. He is perhaps best known for formulating the hard problem of consciousness which could be stated as “why does the feeling which accompanies awareness of sensory information exist at all?” This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5

  • 01:39:06
  • 2.5K views
  • Published almost 6 years ago

Transcript of Cristos Goodrow: YouTube Algorithm

Cristos Goodrow is VP of Engineering at Google and head of Search and Discovery at YouTube (aka YouTube Algorithm). This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”.  Here’s

  • 01:31:19
  • 2.3K views
  • Published almost 6 years ago

Transcript of Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income

Paul Krugman is a Nobel Prize winner in economics, professor at CUNY, and columnist at the New York Times. His academic work centers around international economics, economic geography, liquidity traps, and currency crises. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon. This episode is

  • 01:03:39
  • 2.2K views
  • Published almost 6 years ago

Transcript of Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems

Ayanna Howard is a roboticist and professor at Georgia Tech, director of Human-Automation Systems lab, with research interests in human-robot interaction, assistive robots in the home, therapy gaming apps, and remote robotic exploration of extreme environments. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

  • 01:40:24
  • 1.8K views
  • Published almost 6 years ago

Transcript of Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI

Daniel Kahneman is winner of the Nobel Prize in economics for his integration of economic science with the psychology of human behavior, judgment and decision-making. He is the author of the popular book “Thinking, Fast and Slow” that summarizes in an accessible way his research of several decades, often in collaboration with Amos Tversky, on cognitive biases, prospect theory, and happiness. The central thesis of this work is a dichotomy between two modes of thought: “System 1” is fast, instinctive and emotional; “System 2” is slower, more deliberative, and more logical. The book delineates cognitive biases associated with each type

  • 01:19:09
  • 3.6K views
  • Published almost 6 years ago

Transcript of Stephen Kotkin: Stalin, Putin, and the Nature of Power

Stephen Kotkin is a professor of history at Princeton university and one of the great historians of our time, specializing in Russian and Soviet history. He has written many books on Stalin and the Soviet Union including the first 2 of a 3 volume work on Stalin, and he is currently working on volume 3. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you

  • 01:37:49
  • 3.2K views
  • Published almost 6 years ago

Transcript of Donald Knuth: Algorithms, TeX, Life, and The Art of Computer Programming

Donald Knuth is one of the greatest and most impactful computer scientists and mathematicians ever. He is the recipient in 1974 of the Turing Award, considered the Nobel Prize of computing. He is the author of the multi-volume work, the magnum opus, The Art of Computer Programming. He made several key contributions to the rigorous analysis of the computational complexity of algorithms. He popularized asymptotic notation, that we all affectionately know as the big-O notation. He also created the TeX typesetting which most computer scientists, physicists, mathematicians, and scientists and engineers use to write technical papers and make them look

  • 01:46:13
  • 2.5K views
  • Published almost 6 years ago

Transcript of Melanie Mitchell: Concepts, Analogies, Common Sense & Future of AI

Melanie Mitchell is a professor of computer science at Portland State University and an external professor at Santa Fe Institute. She has worked on and written about artificial intelligence from fascinating perspectives including adaptive complex systems, genetic algorithms, and the Copycat cognitive architecture which places the process of analogy making at the core of human cognition. From her doctoral work with her advisors Douglas Hofstadter and John Holland to today, she has contributed a lot of important ideas to the field of AI, including her recent book, simply called Artificial Intelligence: A Guide for Thinking Humans. This conversation is part

  • 01:53:07
  • 2.2K views
  • Published almost 6 years ago
Description of Lex Fridman Podcast

Conversations about science, technology, the human mind, and the nature of intelligence, consciousness, love, and power.