Lex Fridman interviewed François Chollet, an AI researcher at Google and creator of Keras,  for a second time on his podcast.\

OUTLINE:

  • 0:00 – Introduction
  • 5:04 – Early influence
  • 6:23 – Language
  • 12:50 – Thinking with mind maps
  • 23:42 – Definition of intelligence
  • 42:24 – GPT-3
  • 53:07 – Semantic web
  • 57:22 – Autonomous driving
  • 1:09:30 – Tests of intelligence
  • 1:13:59 – Tests of human intelligence
  • 1:27:18 – IQ tests
  • 1:35:59 – ARC Challenge
  • 1:59:11 – Generalization
  • 2:09:50 – Turing Test
  • 2:20:44 – Hutter prize
  • 2:27:44 – Meaning of life

Lex Fridman talks to Russ Tedrake in the latest episode of his AI podcast.

Russ Tedrake is a roboticist and professor at MIT and vice president of robotics research at TRI. He works on control of robots in interesting, complicated, underactuated, stochastic, difficult to model situations. This conversation is part of the Artificial Intelligence podcast.

Outline:

  • 0:00 – Introduction
  • 4:29 – Passive dynamic walking
  • 9:40 – Animal movement
  • 13:34 – Control vs Dynamics
  • 15:49 – Bipedal walking
  • 20:56 – Running barefoot
  • 33:01 – Think rigorously with machine learning
  • 44:05 – DARPA Robotics Challenge
  • 1:07:14 – When will a robot become UFC champion
  • 1:18:32 – Black Mirror Robot Dog
  • 1:34:01 – Robot control
  • 1:47:00 – Simulating robots
  • 2:00:33 – Home robotics
  • 2:03:40 – Soft robotics
  • 2:07:25 – Underactuated robotics
  • 2:20:42 – Touch
  • 2:28:55 – Book recommendations
  • 2:40:08 – Advice to young people
  • 2:44:20 – Meaning of life

Lex Fridman interviews Manolis Kellis,a professor at MIT and head of the MIT Computational Biology Group.

He is interested in understanding the human genome from a computational, evolutionary, biological, and other cross-disciplinary perspectives.

This conversation is part of the Artificial Intelligence podcast.

Content outline:

  • 0:00 – Introduction
  • 3:54 – Human genome
  • 17:47 – Sources of knowledge
  • 29:15 – Free will
  • 33:26 – Simulation
  • 35:17 – Biological and computing
  • 50:10 – Genome-wide evolutionary signatures
  • 56:54 – Evolution of COVID-19
  • 1:02:59 – Are viruses intelligent?
  • 1:12:08 – Humans vs viruses
  • 1:19:39 – Engineered pandemics
  • 1:23:23 – Immune system
  • 1:33:22 – Placebo effect
  • 1:35:39 – Human genome source code
  • 1:44:40 – Mutation
  • 1:51:46 – Deep learning
  • 1:58:08 – Neuralink
  • 2:07:07 – Language
  • 2:15:19 – Meaning of life

Lex Fridman interviews Jitendra Malik, a professor at Berkeley and one of the seminal figures in the field of computer vision, the kind before the deep learning revolution, and the kind after.

He has been cited over 180,000 times and has mentored many world-class researchers in computer science. This conversation is part of the Artificial Intelligence podcast.

Content index:

  • 0:00 – Introduction
  • 3:17 – Computer vision is hard
  • 10:05 – Tesla Autopilot
  • 21:20 – Human brain vs computers
  • 23:14 – The general problem of computer vision
  • 29:09 – Images vs video in computer vision
  • 37:47 – Benchmarks in computer vision
  • 40:06 – Active learning
  • 45:34 – From pixels to semantics
  • 52:47 – Semantic segmentation
  • 57:05 – The three R’s of computer vision
  • 1:02:52 – End-to-end learning in computer vision
  • 1:04:24 – 6 lessons we can learn from children
  • 1:08:36 – Vision and language
  • 1:12:30 – Turing test
  • 1:16:17 – Open problems in computer vision
  • 1:24:49 – AGI
  • 1:35:47 – Pick the right problem

Lex Fridman interviews Brian Kernighan in the latest episode of his podcast.

Brian Kernighan is a professor of computer science at Princeton University. He co-authored the C Programming Language with Dennis Ritchie (creator of C) and has written a lot of books on programming, computers, and life including the Practice of Programming, the Go Programming Language, his latest UNIX: A History and a Memoir. He co-created AWK, the text processing language used by Linux folks like myself. He co-designed AMPL, an algebraic modeling language for large-scale optimization. This conversation is part of the Artificial Intelligence podcast.

Outline:

  • 0:00 – Introduction
  • 4:24 – UNIX early days
  • 22:09 – Unix philosophy
  • 31:54 – Is programming art or science?
  • 35:18 – AWK
  • 42:03 – Programming setup
  • 46:39 – History of programming languages
  • 52:48 – C programming language
  • 58:44 – Go language
  • 1:01:57 – Learning new programming languages
  • 1:04:57 – Javascript
  • 1:08:16 – Variety of programming languages
  • 1:10:30 – AMPL
  • 1:18:01 – Graph theory
  • 1:22:20 – AI in 1964
  • 1:27:50 – Future of AI
  • 1:29:47 – Moore’s law
  • 1:32:54 – Computers in our world
  • 1:40:37 – Life

Lex Fridman interviews Sergey Levine in episode 108 of his podcast.

Sergey Levine is a professor at Berkeley and a world-class researcher in deep learning, reinforcement learning, robotics, and computer vision, including the development of algorithms for end-to-end training of neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, and deep RL algorithms. This conversation is part of the Artificial Intelligence podcast.

Episode outline:

  • 0:00 – Introduction
  • 3:05 – State-of-the-art robots vs humans
  • 16:13 – Robotics may help us understand intelligence
  • 22:49 – End-to-end learning in robotics
  • 27:01 – Canonical problem in robotics
  • 31:44 – Commonsense reasoning in robotics
  • 34:41 – Can we solve robotics through learning?
  • 44:55 – What is reinforcement learning?
  • 1:06:36 – Tesla Autopilot
  • 1:08:15 – Simulation in reinforcement learning
  • 1:13:46 – Can we learn gravity from data?
  • 1:16:03 – Self-play
  • 1:17:39 – Reward functions
  • 1:27:01 – Bitter lesson by Rich Sutton
  • 1:32:13 – Advice for students interesting in AI
  • 1:33:55 – Meaning of life

Lex Fridman interviews Peter Singer in this enlightening episode of his podcast.

Peter Singer is a professor of bioethics at Princeton, best known for his 1975 book Animal Liberation, that makes an ethical case against eating meat. He has written brilliantly from an ethical perspective on extreme poverty, euthanasia, human genetic selection, sports doping, the sale of kidneys, and happiness including in his books Ethics in the Real World and The Life You Can Save. He was a key popularizer of the effective altruism movement and is generally considered one of the most influential philosophers in the world. This conversation is part of the Artificial Intelligence podcast.

Content index:

  • 0:00 – Introduction
  • 5:25 – World War II
  • 9:53 – Suffering
  • 16:06 – Is everyone capable of evil?
  • 21:52 – Can robots suffer?
  • 37:22 – Animal liberation
  • 40:31 – Question for AI about suffering
  • 43:32 – Neuralink
  • 45:11 – Control problem of AI
  • 51:08 – Utilitarianism
  • 59:43 – Helping people in poverty
  • 1:05:15 – Mortality

Lex Fridman interviews Matt Botvinick in this latest episode of his podcast.

Matt Botvinick is the Director of Neuroscience Research at DeepMind. He is a brilliant cross-disciplinary mind navigating effortlessly between cognitive psychology, computational neuroscience, and artificial intelligence. This conversation is part of the Artificial Intelligence podcast.

Content outline:

  • 0:00 – Introduction
  • 3:29 – How much of the brain do we understand?
  • 14:26 – Psychology
  • 22:53 – The paradox of the human brain
  • 32:23 – Cognition is a function of the environment
  • 39:34 – Prefrontal cortex
  • 53:27 – Information processing in the brain
  • 1:00:11 – Meta-reinforcement learning
  • 1:15:18 – Dopamine
  • 1:19:01 – Neuroscience and AI research
  • 1:23:37 – Human side of AI
  • 1:39:56 – Dopamine and reinforcement learning
  • 1:53:07 – Can we create an AI that a human can love?

Lex Fridman interviews Ben Goertzel in episode 103 of his AI podcast.

Ben Goertzel is one of the most interesting minds in the artificial intelligence community. He is the founder of SingularityNET, designer of OpenCog AI framework, formerly a director of research at the Machine Intelligence Research Institute, Chief Scientist of Hanson Robotics, the company that created the Sophia Robot. He has been a central figure in the AGI community for many years, including in the Conference on Artificial General Intelligence. This conversation is part of the Artificial Intelligence podcast.

Show outline:

  • 0:00 – Introduction
  • 3:20 – Books that inspired you
  • 6:38 – Are there intelligent beings all around us?
  • 13:13 – Dostoevsky
  • 15:56 – Russian roots
  • 20:19 – When did you fall in love with AI?
  • 31:30 – Are humans good or evil?
  • 42:04 – Colonizing mars
  • 46:53 – Origin of the term AGI
  • 55:56 – AGI community
  • 1:12:36 – How to build AGI?
  • 1:36:47 – OpenCog
  • 2:25:32 – SingularityNET
  • 2:49:33 – Sophia
  • 3:16:02 – Coronavirus
  • 3:24:14 – Decentralized mechanisms of power
  • 3:40:16 – Life and death
  • 3:42:44 – Would you live forever?
  • 3:50:26 – Meaning of life
  • 3:58:03 – Hat
  • 3:58:46 – Question for AGI