If you enjoy the podcast, please rate it 5 Cristos Goodrow: YouTube Algorithm Lex Fridman PodcastĬristos Goodrow is VP of Engineering at Google and head of Search and Discovery at YouTube (aka YouTube Algorithm). He is perhaps best known for formulating the hard problem of consciousness which could be stated as “why does the feeling which accompanies awareness of sensory information exist at all?” This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to or connect with 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 David Chalmers: The Hard Problem of Consciousness Lex Fridman Podcastĭavid Chalmers is a philosopher and cognitive scientist specializing in philosophy of mind, philosophy of language, and consciousness. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to or connect with on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. He’s known for his work on the AMD K7, K8, K12 and Zen microarchitectures, Apple A4, A5 processors, and co-author of the specifications for the x86-64 instruction set and HyperTransport interconnect. Jim Keller is a legendary microprocessor engineer, having worked at AMD, Apple, Tesla, and now Intel. This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to or connect with on Twitter, LinkedIn, Facebook, Medium, or YouTube where you Jim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles Lex Fridman Podcast
His work has been cited over 200,000 times. He was born in the Soviet Union, worked at the Institute of Control Sciences in Moscow, then in the US, worked at AT&T, NEC Labs, Facebook AI Research, and now is a professor at Columbia University. Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence Lex Fridman Podcast
His research interests center around the capabilities and limits of quantum computers and computational complexity theory more generally.
Scott Aaronson is a professor at UT Austin, director of its Quantum Information Center, and previously a professor at MIT. #72 – Scott Aaronson: Quantum Computing Lex Fridman Podcast
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