

Lex Fridman Podcast
Lex Fridman
Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. Lex is an AI researcher at MIT and beyond.
Episodes
Mentioned books

22 snips
May 13, 2019 • 1h 13min
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators
Chris Lattner, Senior Director at Google and the mastermind behind LLVM and Swift, dives deep into the world of compiler technologies. He shares insights on the evolution of programming from BASIC to complex compilers like LLVM and the unique challenges of developing Swift. The discussion extends to how neural networks and compilers intersect and the remarkable capabilities of TPUs in machine learning. Lattner also reflects on the cultural contrasts between Apple and Google regarding open source, and the intriguing symbolism behind the LLVM dragon logo.

Apr 29, 2019 • 1h 46min
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Oriol Vinyals, a senior research scientist at Google DeepMind, revolutionizes AI with his groundbreaking research in deep learning. He discusses his journey from a gamer to leading the AlphaStar project, which outsmarted professional StarCraft players. Vinyals dives into the challenges of reinforcement learning, the significance of self-play in AI training, and the interplay between gaming and natural language processing. He also explores the future of AI, including its applications in gaming and the delicate balance required for interpreting neural networks.

29 snips
Apr 18, 2019 • 1h 9min
Ian Goodfellow: Generative Adversarial Networks (GANs)
Ian Goodfellow, a leading researcher in deep learning and creator of Generative Adversarial Networks (GANs), dives into the world of AI and machine learning. He discusses the challenges of deep learning, the evolution of neural networks, and the philosophical implications for consciousness in AI. Goodfellow elaborates on GANs, highlighting their power in generating realistic images and their innovative applications. He also addresses the pressing need for fairness in AI and the challenges of authenticity in generative media, underscoring the importance of robust systems.

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.

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.

98 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.

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.

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.

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.

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.