Lex Fridman Podcast

Lex Fridman
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21 snips
Apr 12, 2019 • 33min

Elon Musk: Tesla Autopilot

Elon Musk, CEO of Tesla and SpaceX, shares his insights on Tesla's Autopilot technology and its evolution since 2014. He delves into the transformative impact of electrification and autonomy on consumer expectations in the automotive industry. The conversation covers the sophisticated sensors and communication systems used in Tesla vehicles, alongside the safety implications of automation and driver monitoring. Musk also discusses AI vulnerabilities and the emotional aspect of artificial intelligence, questioning the potential for genuine connections within this evolving landscape.
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55 snips
Apr 3, 2019 • 1h 25min

Greg Brockman: OpenAI and AGI

Greg Brockman, Co-founder and CTO of OpenAI, dives deep into the future of artificial general intelligence (AGI) and its societal impact. He discusses the balance of innovation and regulation, emphasizing the need for ethical considerations in AI development. Brockman shares insights on training AI for games like Dota and the challenges of simulating human-like reasoning. He also tackles philosophical questions about consciousness and our existence in a simulation, making for a thought-provoking conversation on the future of technology and humanity.
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102 snips
Mar 20, 2019 • 1h 22min

Eric Weinstein: Revolutionary Ideas in Science, Math, and Society

In a captivating discussion, Eric Weinstein, a mathematician and economic thinker, delves into the nuances of humor, particularly Eastern European wit as a form of resilience. He explores the paradoxes of war and creativity, alongside ethical dilemmas in technological advancements like AI. Their conversation spirals into the challenges of innovation in academia and critiques of modern capitalism's impact on society. With a blend of humor and insight, Weinstein highlights the complexities of fame and the responsibilities that come with it, making for a thought-provoking experience.
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4 snips
Mar 12, 2019 • 1h 2min

Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics

Leslie Kaelbling, a leading professor of computer science at MIT and expert in reinforcement learning, discusses her journey in AI, sparked by 'Gödel, Escher, Bach.' She explores the connection between philosophy and computer science, and the cyclical evolution of artificial intelligence. The conversation dives into challenges in symbolic reasoning, the quest for optimal solutions in robotics, and the complexities of machine perception. Kaelbling also critiques academic publishing, advocating for open-access to enhance research in the rapidly changing landscape of AI.
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Feb 7, 2019 • 56min

Kyle Vogt: Cruise Automation

Kyle Vogt is the President and CTO of Cruise Automation, leading an effort in trying to solve one of the biggest robotics challenges of our time: vehicle autonomy. He is the co-founder of 2 successful companies (Cruise and Twitch) that were each acquired for 1 billion dollars. Video version is available on YouTube. 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.
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12 snips
Jan 19, 2019 • 1h 20min

Tomaso Poggio: Brains, Minds, and Machines

Tomaso Poggio is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of the nature of intelligence, in both biological neural networks and artificial ones. He has been an advisor to many highly-impactful researchers and entrepreneurs in AI, including Demis Hassabis of DeepMind, Amnon Shashua of MobileEye, and Christof Koch of the Allen Institute for Brain Science. Video version is available on YouTube. 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.
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25 snips
Dec 28, 2018 • 1h 6min

Tuomas Sandholm: Poker and Game Theory

Tuomas Sandholm is a professor at CMU and co-creator of Libratus, which is the first AI system to beat top human players at the game of Heads-Up No-Limit Texas Hold’em. He has published over 450 papers on game theory and machine learning, including a best paper in 2017 at NIPS / NeurIPS. His research and companies have had wide-reaching impact in the real world, especially because he and his group not only propose new ideas, but also build systems to prove these ideas work in the real world. Video version is available on YouTube. 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.
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21 snips
Dec 23, 2018 • 1h 20min

Juergen Schmidhuber: Godel Machines, Meta-Learning, and LSTMs

Juergen Schmidhuber is the co-creator of long short-term memory networks (LSTMs) which are used in billions of devices today for speech recognition, translation, and much more. Over 30 years, he has proposed a lot of interesting, out-of-the-box ideas in artificial intelligence including a formal theory of creativity. Video version is available on YouTube. 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.
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Dec 16, 2018 • 43min

Pieter Abbeel: Deep Reinforcement Learning

Pieter Abbeel is a professor at UC Berkeley, director of the Berkeley Robot Learning Lab, and is one of the top researchers in the world working on how to make robots understand and interact with the world around them, especially through imitation and deep reinforcement learning. Video version is available on YouTube. 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.
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39 snips
Dec 9, 2018 • 1h 26min

Stuart Russell: Long-Term Future of AI

Stuart Russell is a professor of computer science at UC Berkeley and a co-author of the book that introduced me and millions of other people to AI, called Artificial Intelligence: A Modern Approach.  Video version is available on YouTube. 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.

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