Conversations about science, technology, history, philosophy and the nature of intelligence, consciousness, love, and power. Lex is an AI researcher at MIT and beyond.
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Detective Google
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Gavin Miller: Adobe Research
Gavin Miller is the Head of Adobe Research. Adobe have empowered artists, designers, and creative minds from all professions working in the digital medium for over 30 years with software such as Photoshop, Illustrator, Premiere, After Effects, InDesign, Audition that work with images, video, and audio. Adobe Research is working to define the future evolution of these products in a way that makes the life of creatives easier, automates the tedious tasks, and gives more & more time to operate in the idea space instead of pixel space. This is where the cutting-edge deep learning methods of the past decade
Rajat Monga: TensorFlow
Rajat Monga is an Engineering Director at Google, leading the TensorFlow team. 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.
Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators
Chris Lattner is a senior director at Google working on several projects including CPU, GPU, TPU accelerators for TensorFlow, Swift for TensorFlow, and all kinds of machine learning compiler magic going on behind the scenes. He is one of the top experts in the world on compiler technologies, which means he deeply understands the intricacies of how hardware and software come together to create efficient code. He created the LLVM compiler infrastructure project and the CLang compiler. He led major engineering efforts at Apple, including the creation of the Swift programming language. He also briefly spent time at Tesla as
Oriol Vinyals: DeepMind AlphaStar, StarCraft, Language, and Sequences
Oriol Vinyals is a senior research scientist at Google DeepMind. Before that he was at Google Brain and Berkeley. His research has been cited over 39,000 times. He is one of the most brilliant and impactful minds in the field of deep learning. He is behind some of the biggest papers and ideas in AI, including sequence to sequence learning, audio generation, image captioning, neural machine translation, and reinforcement learning. He is a co-lead (with David Silver) of the AlphaStar project, creating an agent that defeated a top professional at the game of StarCraft. If you would like to get
Ian Goodfellow: Generative Adversarial Networks (GANs)
Ian Goodfellow is the author of the popular textbook on deep learning (simply titled “Deep Learning”). He coined the term Generative Adversarial Networks (GANs) and with his 2014 paper is responsible for launching the incredible growth of research on GANs. 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, Medium, or YouTube where you can watch the video versions of these conversations.
Elon Musk: Tesla Autopilot
Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. 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, Medium, or YouTube where you can watch the video versions of these conversations.
Greg Brockman: OpenAI and AGI
Greg Brockman is the Co-Founder and CTO of OpenAI, a research organization developing ideas in AI that lead eventually to a safe & friendly artificial general intelligence that benefits and empowers humanity. 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, Medium, or YouTube where you can watch the video versions of these conversations.
Eric Weinstein: Revolutionary Ideas in Science, Math, and Society
Eric Weinstein is a mathematician, economist, physicist, and managing director of Thiel Capital. He formed the “intellectual dark web” which is a loosely assembled group of public intellectuals including Sam Harris, Jordan Peterson, Steven Pinker, Joe Rogan, Michael Shermer, and a few others. 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, Medium, or YouTube where you can watch the video versions of these conversations.
Leslie Kaelbling: Reinforcement Learning, Planning, and Robotics
Leslie Kaelbling is a roboticist and professor at MIT. She is recognized for her work in reinforcement learning, planning, robot navigation, and several other topics in AI. She won the IJCAI Computers and Thought Award and was the editor-in-chief of the prestigious Journal of Machine Learning Research. 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, Medium, or YouTube where you can watch the video versions of these conversations.
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.
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
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
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.
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.
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.