Lex Fridman Podcast Archiv

Joscha Bach is the VP of Research at the AI Foundation, previously doing research at MIT and Harvard. Joscha work explores the workings of the human mind, intelligence, consciousness, life on Earth, and the possibly-simulated fabric of our universe.

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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, 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

03:14 – Reverse engineering Joscha Bach

10:38 – Nature of truth

18:47 – Original thinking

23:14 – Sentience vs intelligence

31:45 – Mind vs Reality

46:51 – Hard problem of consciousness

51:09 – Connection between the mind and the universe

56:29 – What is consciousness

1:02:32 – Language and concepts

1:09:02 – Meta-learning

1:16:35 – Spirit

1:18:10 – Our civilization may not exist for long

1:37:48 – Twitter and social media

1:44:52 – What systems of government might work well?

1:47:12 – The way out of self-destruction with AI

1:55:18 – AI simulating humans to understand its own nature

2:04:32 – Reinforcement learning

2:09:12 – Commonsense reasoning

2:15:47 – Would AGI need to have a body?

2:22:34 – Neuralink

2:27:01 – Reasoning at the scale of neurons and societies

2:37:16 – Role of emotion

2:48:03 – Happiness is a cookie that your brain bakes for itself

Karl Friston is one of the greatest neuroscientists in history, cited over 245,000 times, known for many influential ideas in brain imaging, neuroscience, and theoretical neurobiology, including the fascinating idea of the free-energy principle for action and perception.

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EPISODE LINKS:

Karl’s Website: https://www.fil.ion.ucl.ac.uk/~karl/

Karl’s Wiki: https://en.wikipedia.org/wiki/Karl_J._Friston

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, 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

01:50 – How much of the human brain do we understand?

05:53 – Most beautiful characteristic of the human brain

10:43 – Brain imaging

20:38 – Deep structure

21:23 – History of brain imaging

32:31 – Neuralink and brain-computer interfaces

43:05 – Free energy principle

1:24:29 – Meaning of life

Sertac Karaman is a professor at MIT, co-founder of the autonomous vehicle company Optimus Ride, and is one of top roboticists in the world, including robots that drive and robots that fly.

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EPISODE LINKS:

Sertac’s Website: http://sertac.scripts.mit.edu/web/

Sertac’s Twitter: https://twitter.com/sertackaraman

Optimus Ride: https://www.optimusride.com/

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, 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

01:44 – Autonomous flying vs autonomous driving

06:37 – Flying cars

10:27 – Role of simulation in robotics

17:35 – Game theory and robotics

24:30 – Autonomous vehicle company strategies

29:46 – Optimus Ride

47:08 – Waymo, Tesla, Optimus Ride timelines

53:22 – Achieving the impossible

53:50 – Iterative learning

58:39 – Is Lidar is a crutch?

1:03:21 – Fast autonomous flight

1:18:06 – Most beautiful idea in robotics

Stephen Schwarzman is the CEO and Co-Founder of Blackstone, one of the world’s leading investment firms with over 530 billion dollars of assets under management. He is one of the most successful business leaders in history, all from humble beginnings back in Philly. I recommend his recent book called What It Takes that tells stories and lessons from this personal journey.

Support this podcast by signing up with these sponsors:

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EPISODE LINKS:

What It Takes (book): https://amzn.to/2WX9cZu

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, 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

04:17 – Going big in business

07:34 – How to recognize an opportunity

16:00 – Solving problems that people have

25:26 – Philanthropy

32:51 – Hope for the new College of Computing at MIT

37:32 – Unintended consequences of technological innovation

42:24 – Education systems in China and United States

50:22 – American AI Initiative

59:53 – Starting a business is a rough ride

1:04:26 – Love and family

Dawn Song is a professor of computer science at UC Berkeley with research interests in security, most recently with a focus on the intersection between computer security and machine learning.

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EPISODE LINKS:

Dawn’s Twitter: https://twitter.com/dawnsongtweets

Dawn’s Website: https://people.eecs.berkeley.edu/~dawnsong/

Oasis Labs: https://www.oasislabs.com

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, 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

01:53 – Will software always have security vulnerabilities?

09:06 – Human are the weakest link in security

16:50 – Adversarial machine learning

51:27 – Adversarial attacks on Tesla Autopilot and self-driving cars

57:33 – Privacy attacks

1:05:47 – Ownership of data

1:22:13 – Blockchain and cryptocurrency

1:32:13 – Program synthesis

1:44:57 – A journey from physics to computer science

1:56:03 – US and China

1:58:19 – Transformative moment

2:00:02 – Meaning of life

Ilya Sutskever is the co-founder of OpenAI, is one of the most cited computer scientist in history with over 165,000 citations, and to me, is one of the most brilliant and insightful minds ever in the field of deep learning. There are very few people in this world who I would rather talk to and brainstorm with about deep learning, intelligence, and life than Ilya, on and off the mic.

Support this podcast by signing up with these sponsors:

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EPISODE LINKS:

Ilya’s Twitter: https://twitter.com/ilyasut

Ilya’s Website: https://www.cs.toronto.edu/~ilya/

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, 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

02:23 – AlexNet paper and the ImageNet moment

08:33 – Cost functions

13:39 – Recurrent neural networks

16:19 – Key ideas that led to success of deep learning

19:57 – What’s harder to solve: language or vision?

29:35 – We’re massively underestimating deep learning

36:04 – Deep double descent

41:20 – Backpropagation

42:42 – Can neural networks be made to reason?

50:35 – Long-term memory

56:37 – Language models

1:00:35 – GPT-2

1:07:14 – Active learning

1:08:52 – Staged release of AI systems

1:13:41 – How to build AGI?

1:25:00 – Question to AGI

1:32:07 – Meaning of life

Daphne Koller is a professor of computer science at Stanford University, a co-founder of Coursera with Andrew Ng and Founder and CEO of insitro, a company at the intersection of machine learning and biomedicine.

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EPISODE LINKS:

Daphne’s Twitter: https://twitter.com/daphnekoller

Daphne’s Website: https://ai.stanford.edu/users/koller/index.html

Insitro: http://insitro.com

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, 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

02:22 – Will we one day cure all disease?

06:31 – Longevity

10:16 – Role of machine learning in treating diseases

13:05 – A personal journey to medicine

16:25 – Insitro and disease-in-a-dish models

33:25 – What diseases can be helped with disease-in-a-dish approaches?

36:43 – Coursera and education

49:04 – Advice to people interested in AI

50:52 – Beautiful idea in deep learning

55:10 – Uncertainty in AI

58:29 – AGI and AI safety

1:06:52 – Are most people good?

1:09:04 – Meaning of life

Harry Cliff is a particle physicist at the University of Cambridge working on the Large Hadron Collider beauty experiment that specializes in searching for hints of new particles and forces by studying a type of particle called the “beauty quark”, or “b quark”. In this way, he is part of the group of physicists who are searching answers to some of the biggest questions in modern physics. He is also an exceptional communicator of science with some of the clearest and most captivating explanations of basic concepts in particle physics I’ve ever heard.

Support this podcast by signing up with these sponsors:

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EPISODE LINKS:

Harry’s Website: https://www.harrycliff.co.uk/

Harry’s Twitter: https://twitter.com/harryvcliff

Beyond the Higgs Lecture: https://www.youtube.com/watch?v=edvdzh9Pggg

Harry’s stand-up: https://www.youtube.com/watch?v=dnediKM_Sts

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, 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

03:51 – LHC and particle physics

13:55 – History of particle physics

38:59 – Higgs particle

57:55 – Unknowns yet to be discovered

59:48 – Beauty quarks

1:07:38 – Matter and antimatter

1:10:22 – Human side of the Large Hadron Collider

1:17:27 – Future of large particle colliders

1:24:09 – Data science with particle physics

1:27:17 – Science communication

1:33:36 – Most beautiful idea in physics

Jack Dorsey is the co-founder and CEO of Twitter and the founder and CEO of Square.

Support this podcast by signing up with these sponsors:

– MasterClass: https://masterclass.com/lex

EPISODE LINKS:

Jack’s Twitter: https://twitter.com/jack

Start Small Tracker: https://bit.ly/2KxdiBL

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, 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 – Engineering at scale

08:36 – Increasing access to the economy

13:09 – Machine learning at Square

15:18 – Future of the digital economy

17:17 – Cryptocurrency

25:31 – Artificial intelligence

27:49 – Her

29:12 – Exchange with Elon Musk about bots

32:05 – Concerns about artificial intelligence

35:40 – Andrew Yang

40:57 – Eating one meal a day

45:49 – Mortality

47:50 – Meaning of life

48:59 – Simulation

Dmitry Korkin is a professor of bioinformatics and computational biology at Worcester Polytechnic Institute, where he specializes in bioinformatics of complex disease, computational genomics, systems biology, and biomedical data analytics. I came across Dmitry’s work when in February his group used the viral genome of the COVID-19 to reconstruct the 3D structure of its major viral proteins and their interactions with human proteins, in effect creating a structural genomics map of the coronavirus and making this data open and available to researchers everywhere. We talked about the biology of COVID-19, SARS, and viruses in general, and how computational methods can help us understand their structure and function in order to develop antiviral drugs and vaccines.

Support this podcast by signing up with these sponsors:

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EPISODE LINKS:

Dmitry’s Website: http://korkinlab.org/

Dmitry’s Twitter: https://twitter.com/dmkorkin

Dmitry’s Paper that we discuss: https://bit.ly/3eKghEM

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, 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

02:33 – Viruses are terrifying and fascinating

06:02 – How hard is it to engineer a virus?

10:48 – What makes a virus contagious?

29:52 – Figuring out the function of a protein

53:27 – Functional regions of viral proteins

1:19:09 – Biology of a coronavirus treatment

1:34:46 – Is a virus alive?

1:37:05 – Epidemiological modeling

1:55:27 – Russia

2:02:31 – Science bobbleheads

2:06:31 – Meaning of life

Stephen Wolfram is a computer scientist, mathematician, and theoretical physicist who is the founder and CEO of Wolfram Research, a company behind Mathematica, Wolfram Alpha, Wolfram Language, and the new Wolfram Physics project. He is the author of several books including A New Kind of Science, which on a personal note was one of the most influential books in my journey in computer science and artificial intelligence.

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EPISODE LINKS:

Stephen’s Twitter: https://twitter.com/stephen_wolfram

Stephen’s Website: https://www.stephenwolfram.com/

Wolfram Research Twitter: https://twitter.com/WolframResearch

Wolfram Research YouTube: https://www.youtube.com/user/WolframResearch

Wolfram Research Website: https://www.wolfram.com/

Wolfram Alpha: https://www.wolframalpha.com/

A New Kind of Science (book): https://amzn.to/34JruB2

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, 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

04:16 – Communicating with an alien intelligence

12:11 – Monolith in 2001: A Space Odyssey

29:06 – What is computation?

44:54 – Physics emerging from computation

1:14:10 – Simulation

1:19:23 – Fundamental theory of physics

1:28:01 – Richard Feynman

1:39:57 – Role of ego in science

1:47:21 – Cellular automata

2:15:08 – Wolfram language

2:55:14 – What is intelligence?

2:57:47 – Consciousness

3:02:36 – Mortality

3:05:47 – Meaning of life

Eric Weinstein is a mathematician with a bold and piercing intelligence, unafraid to explore the biggest questions in the universe and shine a light on the darkest corners of our society. He is the host of The Portal podcast, a part of which, he recently released his 2013 Oxford lecture on his theory of Geometric Unity that is at the center of his lifelong efforts in arriving at a theory of everything that unifies the fundamental laws of physics.

Support this podcast by signing up with these sponsors:

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EPISODE LINKS:

Eric’s Twitter: https://twitter.com/EricRWeinstein

Eric’s YouTube: https://www.youtube.com/ericweinsteinphd

The Portal podcast: https://podcasts.apple.com/us/podcast/the-portal/id1469999563

Graph, Wall, Tome wiki: https://theportal.wiki/wiki/Graph,_Wall,_Tome

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, 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

02:08 – World War II and the Coronavirus Pandemic

14:03 – New leaders

31:18 – Hope for our time

34:23 – WHO

44:19 – Geometric unity

1:38:55 – We need to get off this planet

1:40:47 – Elon Musk

1:46:58 – Take Back MIT

2:15:31 – The time at Harvard

2:37:01 – The Portal

2:42:58 – Legacy

Richard Dawkins is an evolutionary biologist, and author of The Selfish Gene, The Blind Watchmaker, The God Delusion, The Magic of Reality, The Greatest Show on Earth, and his latest Outgrowing God. He is the originator and popularizer of a lot of fascinating ideas in evolutionary biology and science in general, including funny enough the introduction of the word meme in his 1976 book The Selfish Gene, which in the context of a gene-centered view of evolution is an exceptionally powerful idea. He is outspoken, bold, and often fearless in his defense of science and reason, and in this way, is one of the most influential thinkers of our time.

Support this podcast by signing up with these sponsors:

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EPISODE LINKS:

Richard’s Website: https://www.richarddawkins.net/

Richard’s Twitter: https://twitter.com/RichardDawkins

Richard’s Books:

– Selfish Gene: https://amzn.to/34tpHQy

– The Magic of Reality: https://amzn.to/3c0aqZQ

– The Blind Watchmaker: https://amzn.to/2RqV5tH

– The God Delusion: https://amzn.to/2JPrxlc

– Outgrowing God: https://amzn.to/3ebFess

– The Greatest Show on Earth: https://amzn.to/2Rp2j1h

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, 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

02:31 – Intelligent life in the universe

05:03 – Engineering intelligence (are there shortcuts?)

07:06 – Is the evolutionary process efficient?

10:39 – Human brain and AGI

15:31 – Memes

26:37 – Does society need religion?

33:10 – Conspiracy theories

39:10 – Where do morals come from in humans?

46:10 – AI began with the ancient wish to forge the gods

49:18 – Simulation

56:58 – Books that influenced you

1:02:53 – Meaning of life

David Silver leads the reinforcement learning research group at DeepMind and was lead researcher on AlphaGo, AlphaZero and co-lead on AlphaStar, and MuZero and lot of important work in reinforcement learning.

Support this podcast by signing up with these sponsors:

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EPISODE LINKS:

Reinforcement learning (book): https://amzn.to/2Jwp5zG

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, 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

04:09 – First program

11:11 – AlphaGo

21:42 – Rule of the game of Go

25:37 – Reinforcement learning: personal journey

30:15 – What is reinforcement learning?

43:51 – AlphaGo (continued)

53:40 – Supervised learning and self play in AlphaGo

1:06:12 – Lee Sedol retirement from Go play

1:08:57 – Garry Kasparov

1:14:10 – Alpha Zero and self play

1:31:29 – Creativity in AlphaZero

1:35:21 – AlphaZero applications

1:37:59 – Reward functions

1:40:51 – Meaning of life