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    Technology

    Lex Fridman Podcast

    Conversations that explore technology, history, philosophy, physics, mathematics, biology, chemistry, engineering, AI, robotics, programming, music, film, art, sports, psychology, neuroscience, geopolitics, business, economics, religion, astronomy, and the human condition with people from all walks of life.

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    Latest Episodes:
    #83 – Nick Bostrom: Simulation and Superintelligence Mar 26, 2020
    Show notes

    Nick Bostrom is a philosopher at University of Oxford and the director of the Future of Humanity Institute. He has worked on fascinating and important ideas in existential risks, simulation hypothesis, human enhancement ethics, and the risks of superintelligent AI systems, including in his book Superintelligence. I can see talking to Nick multiple times on this podcast, many hours each time, but we have to start somewhere.

    Support this podcast by signing up with these sponsors:
    – 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:
    Nick’s website: https://nickbostrom.com/
    Future of Humanity Institute:
    – https://twitter.com/fhioxford
    – https://www.fhi.ox.ac.uk/
    Books:
    – Superintelligence: https://amzn.to/2JckX83
    Wikipedia:
    – https://en.wikipedia.org/wiki/Simulation_hypothesis
    – https://en.wikipedia.org/wiki/Principle_of_indifference
    – https://en.wikipedia.org/wiki/Doomsday_argument
    – https://en.wikipedia.org/wiki/Global_catastrophic_risk

    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.

    Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    02:48 – Simulation hypothesis and simulation argument
    12:17 – Technologically mature civilizations
    15:30 – Case 1: if something kills all possible civilizations
    19:08 – Case 2: if we lose interest in creating simulations
    22:03 – Consciousness
    26:27 – Immersive worlds
    28:50 – Experience machine
    41:10 – Intelligence and consciousness
    48:58 – Weighing probabilities of the simulation argument
    1:01:43 – Elaborating on Joe Rogan conversation
    1:05:53 – Doomsday argument and anthropic reasoning
    1:23:02 – Elon Musk
    1:25:26 – What’s outside the simulation?
    1:29:52 – Superintelligence
    1:47:27 – AGI utopia
    1:52:41 – Meaning of life


    #82 – Simon Sinek: Leadership, Hard Work, Optimism and the Infinite Game Mar 21, 2020
    Show notes

    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 Last: https://amzn.to/2xf70Ds
    – Start with Why: https://amzn.to/2WxBH1i

    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.

    Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    0:00 – Introduction
    3:50 – Meaning of life as an infinite game
    10:13 – Optimism
    13:30 – Mortality
    17:52 – Hard work
    26:38 – Elon Musk, Steve Jobs, and leadership


    #81 – Anca Dragan: Human-Robot Interaction and Reward Engineering Mar 19, 2020
    Show notes

    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, 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.

    Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    02:26 – Interest in robotics
    05:32 – Computer science
    07:32 – Favorite robot
    13:25 – How difficult is human-robot interaction?
    32:01 – HRI application domains
    34:24 – Optimizing the beliefs of humans
    45:59 – Difficulty of driving when humans are involved
    1:05:02 – Semi-autonomous driving
    1:10:39 – How do we specify good rewards?
    1:17:30 – Leaked information from human behavior
    1:21:59 – Three laws of robotics
    1:26:31 – Book recommendation
    1:29:02 – If a doctor gave you 5 years to live…
    1:32:48 – Small act of kindness
    1:34:31 – Meaning of life


    #80 – Vitalik Buterin: Ethereum, Cryptocurrency, and the Future of Money Mar 16, 2020
    Show notes

    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 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.

    Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    04:43 – Satoshi Nakamoto
    08:40 – Anonymity
    11:31 – Open source project leadership
    13:04 – What is money?
    30:02 – Blockchain and cryptocurrency basics
    46:51 – Ethereum
    59:23 – Proof of work
    1:02:12 – Ethereum 2.0
    1:13:09 – Beautiful ideas in Ethereum
    1:16:59 – Future of cryptocurrency
    1:22:06 – Cryptocurrency resources and people to follow
    1:24:28 – Role of governments
    1:27:27 – Meeting Putin
    1:29:41 – Large number of cryptocurrencies
    1:32:49 – Mortality


    #79 – Lee Smolin: Quantum Gravity and Einstein’s Unfinished Revolution Mar 07, 2020
    Show notes

    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: https://amzn.to/2VOPXCD

    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 the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    03:03 – What is real?
    05:03 – Scientific method and scientific progress
    24:57 – Eric Weinstein and radical ideas in science
    29:32 – Quantum mechanics and general relativity
    47:24 – Sean Carroll and many-worlds interpretation of quantum mechanics
    55:33 – Principles in science
    57:24 – String theory


    #78 – Ann Druyan: Cosmos, Carl Sagan, Voyager, and the Beauty of Science Mar 05, 2020
    Show notes

    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 a profound and beautiful decision she made as a Creative Director of NASA’s Voyager Interstellar Message Project. In 2014, she went on to create the second season of Cosmos, called Cosmos: A Spacetime Odyssey, and in 2020, the new third season called Cosmos: Possible Worlds, which is being released this upcoming Monday, March 9. It is hosted, once again, by the fun and brilliant Neil deGrasse Tyson.

    EPISODE LINKS:
    Cosmos Twitter: https://twitter.com/COSMOSonTV
    Cosmos Website: https://fox.tv/CosmosOnTV

    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 the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    03:24 – Role of science in society
    07:04 – Love and science
    09:07 – Skepticism in science
    14:15 – Voyager, Carl Sagan, and the Golden Record
    36:41 – Cosmos
    53:22 – Existential threats
    1:00:36 – Origin of life
    1:04:22 – Mortality


    #77 – Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science Mar 03, 2020
    Show notes

    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 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 the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    03:42 – Are we living in a dream?
    07:15 – Aliens
    12:34 – Science fiction: imagination becoming reality
    17:29 – Artificial intelligence
    22:40 – The new “Devs” series and the veneer of virtue in Silicon Valley
    31:50 – Ex Machina and 2001: A Space Odyssey
    44:58 – Lone genius
    49:34 – Drawing inpiration from Elon Musk
    51:24 – Space travel
    54:03 – Free will
    57:35 – Devs and the poetry of science
    1:06:38 – What will you be remembered for?


    #76 – John Hopfield: Physics View of the Mind and Neurobiology Feb 29, 2020
    Show notes

    John Hopfield is professor at Princeton, whose life’s work weaved beautifully through biology, chemistry, neuroscience, and physics. Most crucially, he saw the messy world of biology through the piercing eyes of a physicist. He is perhaps best known for his work on associate neural networks, now known as Hopfield networks that were one of the early ideas that catalyzed the development of the modern field of deep learning.

    EPISODE LINKS:
    Now What? article: http://bit.ly/3843LeU
    John wikipedia: https://en.wikipedia.org/wiki/John_Hopfield
    Books mentioned:
    – Einstein’s Dreams: https://amzn.to/2PBa96X
    – Mind is Flat: https://amzn.to/2I3YB84

    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 the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    02:35 – Difference between biological and artificial neural networks
    08:49 – Adaptation
    13:45 – Physics view of the mind
    23:03 – Hopfield networks and associative memory
    35:22 – Boltzmann machines
    37:29 – Learning
    39:53 – Consciousness
    48:45 – Attractor networks and dynamical systems
    53:14 – How do we build intelligent systems?
    57:11 – Deep thinking as the way to arrive at breakthroughs
    59:12 – Brain-computer interfaces
    1:06:10 – Mortality
    1:08:12 – Meaning of life


    #75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI Feb 26, 2020
    Show notes

    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 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 the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    03:32 – Universe as a computer
    05:48 – Occam’s razor
    09:26 – Solomonoff induction
    15:05 – Kolmogorov complexity
    20:06 – Cellular automata
    26:03 – What is intelligence?
    35:26 – AIXI – Universal Artificial Intelligence
    1:05:24 – Where do rewards come from?
    1:12:14 – Reward function for human existence
    1:13:32 – Bounded rationality
    1:16:07 – Approximation in AIXI
    1:18:01 – Godel machines
    1:21:51 – Consciousness
    1:27:15 – AGI community
    1:32:36 – Book recommendations
    1:36:07 – Two moments to relive (past and future)


    #74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI Feb 24, 2020
    Show notes

    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 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 the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

    OUTLINE:
    00:00 – Introduction
    03:02 – How far are we in development of AI?
    08:25 – Neuralink and brain-computer interfaces
    14:49 – The term “artificial intelligence”
    19:00 – Does science progress by ideas or personalities?
    19:55 – Disagreement with Yann LeCun
    23:53 – Recommender systems and distributed decision-making at scale
    43:34 – Facebook, privacy, and trust
    1:01:11 – Are human beings fundamentally good?
    1:02:32 – Can a human life and society be modeled as an optimization problem?
    1:04:27 – Is the world deterministic?
    1:04:59 – Role of optimization in multi-agent systems
    1:09:52 – Optimization of neural networks
    1:16:08 – Beautiful idea in optimization: Nesterov acceleration
    1:19:02 – What is statistics?
    1:29:21 – What is intelligence?
    1:37:01 – Advice for students
    1:39:57 – Which language is more beautiful: English or French?


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