最新の記事
4,484 件並び順
49:53EN
Lex Fridman· 2019年11月25日ポッドキャスト · 2 人Gilbert Strang still teaches with thick chalk and four subspacesゲスト Gilbert Strang · ホスト Lex FridmanThe MIT linear-algebra legend talks with Lex Fridman about OpenCourseWare, singular values, neural nets as a million folds, and why calculus hogged the undergraduate timetable.
3:51ENLex Fridman· 2019年11月24日ポッドキャスト · 2 人Dava Newman on AI for Space Missions and Earthゲスト Dava Newman · ホスト Lex FridmanAn aerospace engineer discusses autonomy, testing and climate data.
1:58ENLex Fridman· 2019年11月24日ポッドキャスト · 2 人Dava Newman on Reusable Rocketsゲスト Dava Newman · ホスト Lex FridmanA 2019 conversation about spacecraft reuse and precision landing.
19:06EN
3Blue1Brown· 2019年11月23日Grant Sanderson on Mathematical Curiosity and LearningGrant SandersonA 2019 Q&A about playful discovery, math anxiety, educational resources and more.
39:33ENLex Fridman· 2019年11月22日ポッドキャスト · 2 人Mars is not Plan B: Dava Newman on spacesuits, autonomy, and Spaceship Earthゲスト Dava Newman · ホスト Lex FridmanThe MIT Apollo professor and former NASA deputy administrator on Magellan’s crew, mechanical counterpressure, and why the next decade belongs to Earth.
7:23ENLex Fridman· 2019年11月20日ポッドキャスト · 2 人Michael Kearns on Game Theory and Machine Learningゲスト Michael Kearns · ホスト Lex FridmanWhy individually optimized choices can produce a less desirable collective outcome.
1:48:55ENLex Fridman· 2019年11月19日ポッドキャスト · 2 人Three Fairness Rules That Cannot All Be Trueゲスト Michael Kearns · ホスト Lex FridmanMichael Kearns tells Lex Fridman why algorithmic fairness is messier than privacy, and why a Pareto curve belongs in front of the people who actually have to choose.
2:15ENLex Fridman· 2019年11月17日ポッドキャスト · 2 人Elon Musk on Neuralink and Understanding the Brainゲスト Elon Musk · ホスト Lex FridmanA 2019 interview about proposed brain measurements.
4:01ENLex Fridman· 2019年11月14日ポッドキャスト · 2 人Elon Musk on AI Safety and Regulationゲスト Elon Musk · ホスト Lex FridmanA 2019 conversation about oversight and uncertain technological outcomes.
4:43ENLex Fridman· 2019年11月14日ポッドキャスト · 2 人Elon Musk on Brain-Machine Interfaces and Digital Intelligenceゲスト Elon Musk · ホスト Lex FridmanA 2019 discussion of brain analogies and a speculative digital layer.
36:10ENLex Fridman· 2019年11月12日ポッドキャスト · 2 人So You're Saying There's a Chance: Musk on Neuralink, AI, and a Pale Blue Dotゲスト Elon Musk · ホスト Lex FridmanLex Fridman and Elon Musk move from consciousness and an AI referee to the engineering of a brain implant, Tesla Autopilot, and Carl Sagan's lonely speck.
6:56ENLex Fridman· 2019年11月10日ポッドキャスト · 2 人Bjarne Stroustrup on Learning More Than One Programming Languageゲスト Bjarne Stroustrup · ホスト Lex FridmanThe C++ creator discusses perspectives, machine architecture and abstraction.
1:47:13ENLex Fridman· 2019年11月7日ポッドキャスト · 2 人When You Hit the Brakes, a Computer Is in the Wayゲスト Bjarne Stroustrup · ホスト Lex FridmanBjarne Stroustrup on why C++ still sits between the pedal and the pads, and why an abstraction that costs extra has no place in the language.
7:45ENLex Fridman· 2019年11月6日ポッドキャスト · 2 人Sean Carroll on Hilbert Space, Entropy and Infinityゲスト Sean Carroll · ホスト Lex FridmanAn accessible discussion of abstract spaces and physical uncertainty.
1:29:58ENLex Fridman· 2019年11月1日ポッドキャスト · 2 人Believe the Schrödinger Equation. The Cost Is Extra Worldsゲスト Sean Carroll · ホスト Lex FridmanSean Carroll talks with Lex Fridman about why many-worlds is the barest form of quantum mechanics, why spacetime may only be an approximation, and why measurement should not be a primitive in the laws of physics.
14:55ENLex Fridman· 2019年10月29日ポッドキャスト · 2 人Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questionsゲスト Garry Kasparov · ホスト Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.
55:24ENLex Fridman· 2019年10月27日ポッドキャスト · 2 人The Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and Putinゲスト Garry Kasparov · ホスト Lex FridmanThe former world champion tells Lex Fridman why losing to IBM still hurt, why chess was never the peak of intellect, and why he lives in New York.
20:34ENLex Fridman· 2019年10月26日ポッドキャスト · 2 人Teaching Machines the Frameworks Humans Take for Grantedゲスト David Ferrucci · ホスト Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
4:15ENLex Fridman· 2019年10月25日ポッドキャスト · 2 人Michio Kaku on Einstein, Nature and the Limits of Physicsゲスト Michio Kaku · ホスト Lex FridmanA 2019 conversation considers cosmic meaning, scientific laws and ethics.
47:18EN
Jane Street· 2019年10月24日Unboxed Types and Memory Layouts for OCamlStephen Dolan · Jane StreetStephen explains a proposed type-system extension for controlling data representation while retaining OCaml’s fast separate compilation.
1:01:00ENLex Fridman· 2019年10月22日ポッドキャスト · 2 人A Hundred Billion Galaxies, and We're Still a Type 0.7 Civilizationゲスト Michio Kaku · ホスト Lex FridmanTheoretical physicist Michio Kaku talks with Lex Fridman about aliens, string theory, digital immortality, and why fusion and Mars are the next civilizational steps.
2:24:31ENLex Fridman· 2019年10月11日ポッドキャスト · 2 人Watson Won Jeopardy Without Understanding. Ferrucci Wants AI That Can Explain Itselfゲスト David Ferrucci · ホスト Lex FridmanLex Fridman talks with David Ferrucci about IBM Watson, why prediction is not understanding, and why high-stakes decisions need machines that can reason with us.
22:20EN3Blue1Brown· 2019年10月8日Why a Polar Plot of Primes Forms Spirals and RaysA visualization connects approximations of π, residue classes and the distribution of prime numbers.
1:25:01ENLex Fridman· 2019年10月3日ポッドキャスト · 2 人Gary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.ゲスト Gary Marcus · ホスト Lex FridmanOn Lex Fridman's podcast, the NYU emeritus and Rebooting AI co-author argues that perception and reasoning need different tools — and that trustworthy AI is impossible until machines can represent harm, bottles, and intent.もっと見る4,484 件中 24 件を表示