絞り込み結果
101 件並び順
2:28:11EN
Lex Fridman· 2020年11月1日ポッドキャスト · 2 人People Are Easy to Predict — and They Hate Being Told Soゲスト Charles Isbell · ホスト Lex FridmanGeorgia Tech dean Charles Isbell talks with Lex Fridman about interactive AI, computing as a mindset, and race in America.
2:34:20ENLex Fridman· 2020年8月30日ポッドキャスト · 2 人Intelligence Is How Efficiently You Acquire Skills You Were Not Prepared Forゲスト François Chollet · ホスト Lex FridmanFrançois Chollet tells Lex Fridman why skill is not intelligence, why GPT-3 is still pattern matching, and why a grid puzzle called ARC still separates children from machines.
1:37:31ENLex Fridman· 2020年7月14日ポッドキャスト · 2 人The Robot That Brought the Beer Was Being Teleoperatedゲスト Sergey Levine · ホスト Lex FridmanSergey Levine tells Lex Fridman why hardware is almost closed, why common sense has to be lived, and why offline reinforcement learning is the missing on-ramp from logs to robots that keep getting better.
2:00:32ENLex Fridman· 2020年7月3日ポッドキャスト · 2 人Slow Synapses Grow Fast Learners — Warmth Is the Harder Problemゲスト Matt Botvinick · ホスト Lex FridmanDeepMind neuroscience director Matt Botvinick tells Lex Fridman how prefrontal cortex, meta-reinforcement learning, and dopamine research meet the human question of what a better life with AI would actually look like.
45:31ENLex Fridman· 2020年7月1日ポッドキャストYou Are Your Own Existence Proof: Karl Friston on Free Energy, Life, and Self-Awarenessホスト Lex FridmanKarl Friston explains how the free energy principle reframes existence, life, planning, and self-awareness as inference problems.
1:37:28ENLex Fridman· 2020年5月8日ポッドキャスト · 2 人We Are Still Massively Underestimating Deep Learningゲスト Ilya Sutskever · ホスト Lex FridmanIlya Sutskever tells Lex Fridman why 2012 was about conviction, why bigger models can get worse before they get better, and what he would do with an AGI.
1:12:03ENLex Fridman· 2020年5月5日ポッドキャスト · 2 人Mice Don't Get Alzheimer's: Daphne Koller on Disease in a Dishゲスト Daphne Koller · ホスト Lex FridmanThe Coursera co-founder and insitro CEO on why most diseases are not one disease, how to turn cells into data, and why overconfident neural nets can kill.
1:12:48ENLex Fridman· 2020年2月29日ポッドキャスト · 2 人John Hopfield's Physics of Mind: Glitches Become Featuresゲスト John Hopfield · ホスト Lex FridmanThe Princeton physicist walks Lex Fridman from a wobbly London bridge to Hopfield networks, consciousness-as-story, and why his famous model still does not explain learning.
1:45:49ENLex Fridman· 2020年2月24日ポッドキャスト · 2 人Prediction is not a decision: Michael I. Jordan on markets and the unfinished AI revolutionゲスト Michael I. Jordan · ホスト Lex FridmanThe Berkeley statistician tells Lex Fridman that today's systems are a proto-engineering field, and that the hard work is connecting producers and consumers — not imitating minds.
1:44:55ENLex Fridman· 2020年2月14日ポッドキャスト · 2 人If You Need 60,000 Digits, You Have Not Found Intelligenceゲスト Vladimir Vapnik · ホスト Lex FridmanVladimir Vapnik tells Lex Fridman that intelligence is the art of shrinking a sea of functions with a few good predicates — and that MNIST, solved with sixty examples per class, is the test.
26:02ENLex Fridman· 2020年2月9日ポッドキャストMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:18:41ENLex Fridman· 2020年1月14日ポッドキャスト · 2 人The SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool Usゲスト Daniel Kahneman · ホスト Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.
1:23:01ENLex Fridman· 2019年12月11日ポッドキャスト · 2 人You Cannot Ask a Question You Have No Words Forゲスト Judea Pearl · ホスト Lex FridmanA teenager spent three days in bed with a fever after learning that geometry could be done in algebra — then spent a career giving cause and effect a mathematics.
35:46ENLex Fridman· 2019年11月29日ポッドキャスト · 2 人You never hear structure: Noam Chomsky on language, cognition, and deep learningゲスト Noam Chomsky · ホスト Lex FridmanLex Fridman asks the linguist whether we could talk to aliens, how far language goes in the brain, and whether neural networks tell us anything about the mind.
49:53ENLex 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.
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.
1:03:13ENLex Fridman· 2019年9月30日ポッドキャスト · 2 人You Can't Have Both Kinds of Fairness, Says Peter Norvigゲスト Peter Norvig · ホスト Lex FridmanThe co-author of Artificial Intelligence: A Modern Approach walks Lex Fridman through recidivism scores, utility functions, Lisp, MOOCs, and why human-level intelligence should not be the goal.
1:59:49ENLex Fridman· 2019年9月14日ポッドキャスト · 2 人Intelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explodeゲスト François Chollet · ホスト Lex FridmanThe Keras creator tells Lex Fridman that intelligence lives in a brain, a body, and a problem, that science already is a recursively self-improving superhuman system with linear output, and that the real near-term danger is the newsfeed.
1:15:58ENLex Fridman· 2019年8月31日ポッドキャスト · 2 人Human Intelligence Is a Ridiculously Narrow Sliverゲスト Yann Lecun · ホスト Lex FridmanYann LeCun tells Lex Fridman why giant nets plus gradient descent broke the textbooks, why "AGI" is the wrong word, and why the next leap is a world model learned like a baby.
1:44:11ENLex Fridman· 2019年8月27日ポッドキャスト · 2 人A Single GPU Is Enough: Jeremy Howard on Teaching Deep Learningゲスト Jeremy Howard · ホスト Lex FridmanThe fast.ai founder tells Lex Fridman why domain experts, not more papers or more TPUs, will decide whether deep learning actually helps people.
2:09:42ENLex Fridman· 2019年7月1日ポッドキャスト · 2 人The Brain Does Not Classify Images. It Navigates Maps.ゲスト Jeff Hawkins · ホスト Lex FridmanJeff Hawkins tells Lex Fridman why the neocortex stores the world as thousands of voting reference frames, and why scaling today's networks will not get us there.
1:08:37ENLex Fridman· 2019年4月18日ポッドキャスト · 2 人A Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs Workゲスト Ian Goodfellow · ホスト Lex FridmanLex Fridman talks with Ian Goodfellow about the 2014 invention of generative adversarial networks, adversarial examples as a security problem, and what still has to be built before machines can hold a fact the way a person does.
1:01:24ENLex Fridman· 2019年3月12日ポッドキャスト · 2 人Leslie Kaelbling: You Buy the Ticket Before You Can Plan the Airportゲスト Leslie Kaelbling · ホスト Lex FridmanThe MIT roboticist tells Lex Fridman why abstractions, belief-space control, and built-in bias matter more than picking a tribe of symbols or neural nets.
1:20:21ENLex Fridman· 2019年1月19日ポッドキャスト · 2 人Einstein Was the Worst of Five Ph.D. Studentsゲスト Tomaso Poggio · ホスト Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.もっと見る101 件中 24 件を表示