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48 件
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43:45EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年8月3日ポッドキャスト · 2 人Eight Years of No Growth, Then OpenAI and NVIDIA Became His Customersホスト Sarah Guo, Elad GilWeights & Biases CEO Lukas Biewald tells No Priors how a labeling company with no chasm to cross funded the ML developer tools that trained most of the large language models.評価とオブザーバビリティオブザーバビリティと信頼性開発ワークフローとテスト+3
46:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年3月2日ポッドキャスト · 2 人95% of Drug Programs Fail. Daphne Koller Is Betting Machine Learning on the First Decisionホスト Sarah Guo, Elad GilA new medicine still takes more than a decade and well over a billion dollars — and Insitro's founder argues the expensive failures start with the wrong target, indication, or patient.企業と戦略AI in healthcareAI for science+3
2:31:57EN
Lex Fridman· 2021年9月20日ポッドキャスト · 2 人Jay McClelland on How Thought Emerges From Neural Networksゲスト Jay McClelland · ホスト Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.モデルと学習機械学習の基礎Deep Learning+3
2:51:33EN
Lex Fridman· 2021年8月29日ポッドキャスト · 2 人The Self Is a GPT Prompt: Wojciech Zaremba on Consciousness, Codex, and Fermi's Silenceゲスト Wojciech Zaremba · ホスト Lex FridmanOpenAI co-founder Wojciech Zaremba tells Lex Fridman he thinks we might be alone in the universe — and that GPT-3, Codex, and a one-handed robot already hint at how intelligence is built.モデルと学習コーディングエージェント機械学習の基礎+3
2:18:29EN
Lex Fridman· 2021年8月8日ポッドキャスト · 2 人Your Cortex Is 150,000 Brains Voting on a Coffee Cupゲスト Jeff Hawkins · ホスト Lex FridmanJeff Hawkins tells Lex Fridman that intelligence is learning a model of the world, the neocortex is tens of thousands of independent maps that vote, and the fastest path to machine intelligence is reverse-engineering that sheet.モデルと学習Neuroscience & AI機械学習の基礎+3
2:30:30EN
Lex Fridman· 2021年7月31日ポッドキャスト · 2 人The Fallacy of the Successful First Stepゲスト Ishan Misra · ホスト Lex FridmanBerkeley's Jitendra Malik explains why computer vision still looks easy, why fully autonomous driving is not near, and what children know that today's networks do not.モデルと学習Computer VisionMultimodal AI+3
1:56:17EN
Lex Fridman· 2021年4月19日ポッドキャスト · 2 人If You Reran Earth a Million Times, Would Anything Like Us Appear?ゲスト Risto Miikkulainen · ホスト Lex FridmanRisto Miikkulainen on neuroevolution, hyena raids, basil that never sleeps, and why variation-plus-selection still finds solutions backpropagation cannot see.モデルと学習機械学習の基礎AI research+3
1:49:56EN
Lex Fridman· 2021年2月7日ポッドキャスト · 2 人A 21-Year-Old at a Party Called GameStop. He Was Right.ゲスト Richard Craib · ホスト Lex FridmanNumerai founder Richard Craib talks with Lex Fridman about WallStreetBets, crowdsourced machine learning, and why finance is a machine for pulling the future into the present.企業と戦略金融 AIOpen-source ecosystems+3
2:01:07EN
Lex Fridman· 2020年12月12日ポッドキャスト · 2 人Michael Littman isn’t waiting for a runaway god. He’s watching us.ゲスト Michael Littman · ホスト Lex FridmanThe Brown reinforcement-learning researcher tells Lex Fridman why accidental superintelligence feels like a 747 assembling itself — and why social media, rote language, and theory of mind worry him more.モデルと学習Reinforcement LearningAGI(汎用人工知能)+3
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.Human-AI Collaboration機械学習の基礎AI research+3
2:34:20EN
Lex 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.評価とオブザーバビリティBenchmarksAI research+3
1:37:31EN
Lex 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.モデルと学習RoboticsReinforcement Learning+3
2:00:32EN
Lex 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.モデルと学習Neuroscience & AIReinforcement Learning+3
1:37:28EN
Lex 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.モデルと学習Deep Learning機械学習の基礎+3
1:12:03EN
Lex 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.AI in healthcareComputational BiologyAI for science+3
1:12:48EN
Lex 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.モデルと学習Neuroscience & AI機械学習の基礎+3
1:45:49EN
Lex 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.企業と戦略機械学習の基礎Recommendation systems+3
1:44:55EN
Lex 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.モデルと学習機械学習の基礎AI research+3
1:18:41EN
Lex 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.機械学習の基礎Deep LearningHuman-AI Collaboration+3
1:23:01EN
Lex 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.エージェントAGI(汎用人工知能)AI research+3
35:46EN
Lex 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.PhilosophyDeep Learning CritiquePhilosophy of Mind+3
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.モデルと学習機械学習の基礎Deep Learning+3
1:48:55EN
Lex 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.セキュリティと安全性Privacy & data governance安全性とガバナンス+3
1:03:13EN
Lex 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.モデルと学習機械学習の基礎安全性とガバナンス+3
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