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AlanTuring

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Lex Fridman. Research scientist at MIT. Host of Artificial Intelligence podcast. Also, play guitar and practice martial arts (jiu jitsu, judo, and wrestling).

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lexfridman.com 6y ago

Marcus Hutter: AIXI and AGI

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lexfridman.com 6y ago

Scott Aaronson: Quantum Computing – AI Podcast

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lexfridman.com 6y ago

Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

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lexfridman.com 6y ago

David Chalmers: The Hard Problem of Consciousness – AI Podcast

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lexfridman.com 6y ago

Thinking Fast and Slow, Deep Learning, and AI [video]

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www.youtube.com 6y ago

Deep Learning State of the Art (2020) – MIT Lecture Series [video]

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lexfridman.com 6y ago

Grant Sanderson: 3Blue1Brown and the Beauty of Mathematics

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www.youtube.com 6y ago

Donald Knuth: Algorithms, Life, and the Art of Computer Programming – AI Podcast

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www.youtube.com 6y ago

AI Debate 2019: Yoshua Bengio vs. Gary Marcus

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lexfridman.com 6y ago

Rohit Prasad (Head of Amazon Alexa) on the AI Podcast

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www.youtube.com 6y ago

Yoshua Bengio: From System 1 Deep Learning to System 2 Deep Learning (NeurIPS)

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www.youtube.com 6y ago

Carl Jung: Multiple Personalities

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lexfridman.com 6y ago

Ray Dalio on Principles, the Economic Machine, and Artificial Intelligence

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www.youtube.com 6y ago

Noam Chomsky on Language, Cognition, and Deep Learning

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lexfridman.com 6y ago

Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning – AI Podcast

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www.youtube.com 6y ago

Elon Musk: Part II – Artificial Intelligence Podcast [video]

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www.youtube.com 6y ago

Garry Kasparov on the Artificial Intelligence Podcast [video]

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www.youtube.com 6y ago

Michio Kaku: Future of Humans, Aliens, Space Travel and Physics

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www.youtube.com 6y ago

David Ferrucci: IBM Watson and Jeopardy

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www.youtube.com 6y ago

Gary Marcus: Toward a Hybrid of Deep Learning and Symbolic AI

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www.youtube.com 6y ago

Peter Norvig – Artificial Intelligence: A Modern Approach – AI Podcast

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www.youtube.com 6y ago

Leonard Susskind: Quantum Mechanics, String Theory and Black Holes

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www.youtube.com 6y ago

Colin Angle: iRobot CEO [video]

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www.youtube.com 6y ago

François Chollet: Keras, Deep Learning, and the Progress of AI [video]

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www.youtube.com 6y ago

Vijay Kumar: Flying Robots [video]

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www.youtube.com 6y ago

Yann LeCun: Self-Supervised Learning [video]

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www.youtube.com 6y ago

Jeremy Howard: Fast.ai Deep Learning Courses and Research [video]

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www.youtube.com 6y ago

Pamela McCorduck: Machines Who Think [video]

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www.youtube.com 6y ago

From Stem Cell to Brain Organoid (Paola Arlotta) [video]

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www.youtube.com 6y ago

Tesla Is Going to Win Level 5 – George Hotz [video]

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Thank you sincerely for the kind words and for understanding the toughness of getting in front of the camera as an introvert. The criticism on top of that is TOUGH to take, but in moderation it helps long-term. With this HN thread, I told myself I'll meditate on critical advice, consider action items to take in order to improve, and then move forward letting the more personal destructive (as you say) criticism fade from memory. That last part is easier said than done, but that's life.

Thank you. Exactly! I ask these questions in hope to inspire the rare gems of brilliance. Sometimes those come from deep technical questions and sometimes from silly philosophical questions. Both have potential. I fail often with striking the right balance, but hopefully less and less over time.

Thank you! To me, asking philosophical questions of world-class mathematicians, physicists, computer scientists, engineers is eye-opening and inspiring. It's taking a break at looking up at the stars. I love the messy details of engineering, but every once in a while it feels great to pause, and reflect on the big picture of our incredible, unlikely existence here on Earth.

As Oscar Wilde said: "We are all in the gutter, but some of us are looking at the stars."

I love the gutter and I love the stars!

Lex here. The amount of positive and thoughtful comments here is humbling. From the bottom of my heart, thank you.

Here are things I didn't realize is the role of the interviewer (my role) but I now know they are:

1. Push towards depth, because not all people go there naturally themselves.

2. Ask for clarifications if I don't understand something. This can make me sound stupid, but it's a worthy sacrifice. I will always sacrifice ego for the chance to understand something basic or hopefully fundamental. In fact, I play dumb sometimes just to force explanation of basics on which the technically deep ideas are built.

3. Disagree respectfully (at times playing devil's advocate) to give a chance to the interviewee to argue their point.

4. Speak whatever question or point I have clearly, concisely, quickly, and then shut up and listen. My role is to give the other person a break and to throw up ideas that spark their passion. I really struggle with this (especially the concise, clear part).

Thank you again for the kind words. I'll keep improving!

Thank you for the kind words. Some people love the philosophy, some the technical details. I try to mix it up, and have fun with it. But it's good to know that people have more patience for technical depth than I realized. So I'll try to do more of it in the future.

Lex here. Yep. Russian. Underneath the cold stare and the suit is possibly some personality and a bit of humor. Then again it's like past or present life on Mars. Many astrobiologists believe it was at least once there, but no proof has been found yet.

Thanks for the comment and the kind words about me being nice. I'll try to live up to that.

On the technical depth point, I agree. A lot of folks tell me they love the "meaning of life" questions. I love both the technical and the philosophical. My hope is to more and more try to go deep technically with the ML, CS, math, physics folks on the topic of their expertise, and find productive points of passionate disagreement or insight. This isn't easy, and I fail often, but I'm working hard to improve.

Lex here. This is a point I think about a lot. I hear conflicting advice from brilliant folks I really respect. Some say "go deep on the philosophy" and others "go deep on the technical details of the person's expertise." The latter is something that surprised me, and something I'll definitely do more of in the coming months. In general, one of the things the internet pleasantly surprised me with is that people like depth (even those outside the field). I obviously love the details, especially in ML, CS, math, physics, and psych.

Thanks for the kind words. I work hard on this thing, and hopefully will improve with time.

Lex here. I hear you. I'm working hard to improve. The parts about arrogance and disingenuousness I hope are not true, but I appreciate comments like this because they help me reflect on it, and see that there might be truth to it. Your words hurt but in the end are a gift, so thank you. I'll do my best to improve.