#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation

#344 – Noam Brown: AI vs Humans in Poker and Games of Strategic Negotiation

Noam Brown is a research scientist at FAIR, Meta AI, co-creator of AI that achieved superhuman level performance in games of No-Limit Texas Hold’em and Diplomacy. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Noam’s Twitter: https://twitter.com/polynoamial
Noam’s LinkedIn: https://www.linkedin.com/in/noam-brown-8b785b62/
webDiplomacy: https://webdiplomacy.net/
Noam’s papers:
Superhuman AI for multiplayer poker: https://par.nsf.gov/servlets/purl/10119653
Superhuman AI for heads-up no-limit poker: https://par.nsf.gov/servlets/purl/10077416
Human-level play in the game of Diplomacy: https://www.science.org/doi/10.1126/science.ade9097

PODCAST INFO:
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YouTube Clips: https://youtube.com/lexclips

SUPPORT & CONNECT:
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– Medium: https://medium.com/@lexfridman

OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(05:37) – No Limit Texas Hold ’em
(09:30) – Solving poker
(22:40) – Poker vs Chess
(29:18) – AI playing poker
(1:02:46) – Heads-up vs Multi-way poker
(1:13:37) – Greatest poker player of all time
(1:17:10) – Diplomacy game
(1:27:01) – AI negotiating with humans
(2:09:26) – AI in geopolitics
(2:14:11) – Human-like AI for games
(2:20:12) – Ethics of AI
(2:24:26) – AGI
(2:28:25) – Advice to beginners

Jaksot(490)

Peter Norvig: Artificial Intelligence: A Modern Approach

Peter Norvig: Artificial Intelligence: A Modern Approach

Peter Norvig is a research director at Google and the co-author with Stuart Russell of the book Artificial Intelligence: A Modern Approach that educated and inspired a whole generation of researchers including myself to get into the field. 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 iTunes or support it on Patreon. Here’s the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode): 00:00 – Introduction 00:37 – Artificial Intelligence: A Modern Approach 09:11 – Covering the entire field of AI 15:42 – Expert systems and knowledge representation 18:31 – Explainable AI 23:15 – Trust 25:47 – Education – Intro to AI – MOOC 32:43 – Learning to program in 10 years 37:12 – Changing nature of mastery 40:01 – Code review 41:17 – How have you changed as a programmer 43:05 – LISP 47:41 – Python 48:32 – Early days of Google Search 53:24 – What does it take to build human-level intelligence 55:14 – Her 57:00 – Test of intelligence 58:41 – Future threats from AI 1:00:58 – Exciting open problems in AI

30 Syys 20191h 3min

Leonard Susskind: Quantum Mechanics, String Theory, and Black Holes

Leonard Susskind: Quantum Mechanics, String Theory, and Black Holes

Leonard Susskind is a professor of theoretical physics at Stanford University, and founding director of the Stanford Institute for Theoretical Physics. He is widely regarded as one of the fathers of string theory and in general as one of the greatest physicists of our time both as a researcher and an educator. 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 iTunes or support it on Patreon. Here’s the outline with timestamps for this episode (on some players you can click on the timestamp to jump to that point in the episode): 00:00 – Introduction 01:02 – Richard Feynman 02:09 – Visualization and intuition 06:45 – Ego in Science 09:27 – Academia 11:18 – Developing ideas 12:12 – Quantum computers 21:37 – Universe as an information processing system 26:35 – Machine learning 29:47 – Predicting the future 30:48 – String theory 37:03 – Free will 39:26 – Arrow of time 46:39 – Universe as a computer 49:45 – Big bang 50:50 – Infinity 51:35 – First image of a black hole 54:08 – Questions within the reach of science 55:55 – Questions out of reach of science

26 Syys 201957min

Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

Regina Barzilay: Deep Learning for Cancer Diagnosis and Treatment

Regina Barzilay is a professor at MIT and a world-class researcher in natural language processing and applications of deep learning to chemistry and oncology, or the use of deep learning for early diagnosis, prevention and treatment of cancer. She has also been recognized for her teaching of several successful AI-related courses at MIT, including the popular Introduction to Machine Learning course. 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 iTunes or support it on Patreon.

23 Syys 20191h 17min

Colin Angle: iRobot

Colin Angle: iRobot

Colin Angle is the CEO and co-founder of iRobot, a robotics company that for 29 years has been creating robots that operate successfully in the real world, not as a demo or on a scale of dozens, but on a scale of thousands and millions. As of this year, iRobot has sold more than 25 million robots to consumers, including the Roomba vacuum cleaning robot, the Braava floor mopping robot, and soon the Terra lawn mowing robot. 25 million robots successfully operating autonomously in people’s homes to me is an incredible accomplishment of science, engineering, logistics, and all kinds of entrepreneurial innovation. 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 iTunes or support it on Patreon.

19 Syys 201937min

François Chollet: Keras, Deep Learning, and the Progress of AI

François Chollet: Keras, Deep Learning, and the Progress of AI

François Chollet is the creator of Keras, which is an open source deep learning library that is designed to enable fast, user-friendly experimentation with deep neural networks. It serves as an interface to several deep learning libraries, most popular of which is TensorFlow, and it was integrated into TensorFlow main codebase a while back. Aside from creating an exceptionally useful and popular library, François is also a world-class AI researcher and software engineer at Google, and is definitely an outspoken, if not controversial, personality in the AI world, especially in the realm of ideas around the future of artificial intelligence. 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 iTunes or support it on Patreon.

14 Syys 201956min

Vijay Kumar: Flying Robots

Vijay Kumar: Flying Robots

Vijay Kumar is one of the top roboticists in the world, professor at the University of Pennsylvania, Dean of Penn Engineering, former director of GRASP lab, or the General Robotics, Automation, Sensing and Perception Laboratory at Penn that was established back in 1979, 40 years ago. Vijay is perhaps best known for his work in multi-robot systems (or robot swarms) and micro aerial vehicles, robots that elegantly cooperate in flight under all the uncertainty and challenges that real-world conditions present. 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 iTunes or support it on Patreon.

8 Syys 201956min

Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning

Yann LeCun: Deep Learning, Convolutional Neural Networks, and Self-Supervised Learning

Yann LeCun is one of the fathers of deep learning, the recent revolution in AI that has captivated the world with the possibility of what machines can learn from data. He is a professor at New York University, a Vice President & Chief AI Scientist at Facebook, co-recipient of the Turing Award for his work on deep learning. He is probably best known as the founder of convolutional neural networks, in particular their early application to optical character recognition. 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 iTunes or support it on Patreon.

31 Elo 20191h 16min

Jeremy Howard: fast.ai Deep Learning Courses and Research

Jeremy Howard: fast.ai Deep Learning Courses and Research

Jeremy Howard is the founder of fast.ai, a research institute dedicated to make deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, a former president of Kaggle as well a top-ranking competitor there, and in general, he’s a successful entrepreneur, educator, research, and an inspiring personality in the AI community. 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 iTunes or support it on Patreon.

27 Elo 20191h 44min

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