

Lex Fridman Podcast
Conversations that explore technology, history, philosophy, physics, mathematics, biology, chemistry, engineering, AI, robotics, programming, music, film, art, sports, psychology, neuroscience, geopolitics, business, economics, religion, astronomy, and the human condition with people from all walks of life.
Episodes


#82 – Simon Sinek: Leadership, Hard Work, Optimism and the Infinite Game

#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering

#80 – Vitalik Buterin: Ethereum, Cryptocurrency, and the Future of Money
This podcast episode explores various aspects of cryptocurrency, from the benefits of anonymity to the philosophical ideas surrounding money and motivation. It delves into the origins of blockchain technology and its connection to the cypherpunks' goal of creating a decentralized currency. The conversation also covers ...

#79 – Lee Smolin: Quantum Gravity and Einstein’s Unfinished Revolution

#78 – Ann Druyan: Cosmos, Carl Sagan, Voyager, and the Beauty of Science

#77 – Alex Garland: Ex Machina, Devs, Annihilation, and the Poetry of Science

#76 – John Hopfield: Physics View of the Mind and Neurobiology
Biological neural networks operate as complex dynamical systems that leverage evolutionary quirks as functional features, a stark contrast to the rigid, feed-forward architecture of modern artificial intelligence. True intelligence requires feedback mechanisms and the ability to explore mental states, which current com...

#75 – Marcus Hutter: Universal Artificial Intelligence, AIXI, and AGI
This podcast episode explores the concept of Occam's Razor, a principle in science that states that the simplest explanation is often the most likely to be correct. It discusses Solomonoff induction, a theory that aims to find the shortest program that can reproduce a given data sequence, and Kolmogorov complexity, a m...

#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
This podcast episode explores complex topics such as neuroscience, the distinction between scientific and engineering breakthroughs, limitations of AI, the potential of AI in creating new markets, the challenges of recommendation systems, privacy in the digital age, optimization, decision theory, and intelligence beyon...

#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
This podcast episode covers a wide range of topics related to computer science, machine learning, and AI. It explores the speaker's journey and early inspirations in the field, as well as the evolution and impact of online education. The conversation also delves into the growth of the machine learning community, the ch...

#72 – Scott Aaronson: Quantum Computing

Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence
This podcast episode explores the concepts of understanding, intelligence, and the role of predicates in various domains. The speakers discuss the philosophical nature of understanding and intelligence, highlighting the challenge of discovering good predicates in machine learning. They delve into the use of predicates ...

Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles
Lex Fridman interviews Jim Keller, a renowned microprocessor engineer, exploring the differences between human brains and computers, the fundamentals of computer architecture, and the intricacies of instruction set design. They discuss Moore's Law, the challenges and possibilities of transistor shrinking, and the futur...

David Chalmers: The Hard Problem of Consciousness

Cristos Goodrow: YouTube Algorithm
This podcast episode discusses the challenges and responsibilities of managing diversity, politics, and content filtering on YouTube. It explores how YouTube uses clustering and embedding processes to identify relationships between video clusters, measures the likelihood of user engagement, and works towards reducing b...

Paul Krugman: Economics of Innovation, Automation, Safety Nets & Universal Basic Income

Ayanna Howard: Human-Robot Interaction and Ethics of Safety-Critical Systems

Daniel Kahneman: Thinking Fast and Slow, Deep Learning, and AI
This podcast episode features a conversation with Daniel Kahneman, a Nobel Prize-winning economist known for integrating economic science with the psychology of human behavior. The discussion centers around his book "Thinking, Fast and Slow," which explores cognitive biases, decision making, and the impact of World War...

Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics
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