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1:25:01EN
Lex Fridman· 3 oct. 2019Podcast · 2 voixGary Marcus: Deep Learning Imitates Intelligence. It Does Not Understand.Invité : Gary Marcus · Anime : 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.Modèles et entraînementDeep Learning CritiqueAGI Timelines+3
1:17:29EN
Lex Fridman· 23 sept. 2019Podcast · 2 voixThe Algorithm Is Already Better. The Clinic Still Uses 1967.Invité : Regina Barzilay · Anime : Lex FridmanMIT's Regina Barzilay on why deep learning already beats the breast-cancer 'density' score — and why data, liability, and incentives still will not move.AI in healthcareAI for scienceData quality & curation+3
1:59:49EN
Lex Fridman· 14 sept. 2019Podcast · 2 voixIntelligence is not the height of a building: François Chollet on Keras, deep learning, and why AGI will not explodeInvité : François Chollet · Anime : 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.Modèles et entraînementDeep LearningAI research+3
1:44:11EN
Lex Fridman· 27 août 2019Podcast · 2 voixA Single GPU Is Enough: Jeremy Howard on Teaching Deep LearningInvité : Jeremy Howard · Anime : 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.Modèles et entraînementDeep LearningFondamentaux du ML+3
1:10:58EN
Lex Fridman· 3 juin 2019Podcast · 2 voixThe Hadoop Lesson That Made Google Give TensorFlow AwayInvité : Rajat Monga · Anime : Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.Open source et communautéOpen-source ecosystemsCommunity building+3
1:46:01EN
Lex Fridman· 29 avr. 2019Podcast · 2 voixThe Night AlphaStar Beat TLO, the Team Went to a BarInvité : Oriol Vinyals · Anime : Lex FridmanOriol Vinyals on how DeepMind turned StarCraft II into a sequence problem, built a league of agents, and still refuses to call the game solved.AgentsReinforcement LearningMulti-agent systems+3
1:08:37EN
Lex Fridman· 18 avr. 2019Podcast · 2 voixA Bar in Montreal, Then a Night of Code: Ian Goodfellow on Why GANs WorkInvité : Ian Goodfellow · Anime : 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.Modèles et entraînementGenerative mediaFondamentaux du ML+3
1:20:21EN
Lex Fridman· 19 janv. 2019Podcast · 2 voixEinstein Was the Worst of Five Ph.D. StudentsInvité : Tomaso Poggio · Anime : Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.Modèles et entraînementFondamentaux du MLAI research+3
1:19:59EN
Lex Fridman· 23 déc. 2018Podcast · 2 voixSchmidhuber’s bet: true meta-learning rewrites the learner, not the last layerInvité : Juergen Schmidhuber · Anime : Lex FridmanJürgen Schmidhuber tells Lex Fridman how Gödel machines, compression-as-science, Power Play, LSTMs, and world models all descend from a teenage plan to multiply one person’s curiosity into a better physicist than he could ever be.Modèles et entraînementFondamentaux du MLAGI Timelines+3
42:45EN
Lex Fridman· 16 déc. 2018Podcast · 2 voixA one-legged robot learned a backflip from "this is better"Invité : Pieter Abbeel · Anime : Lex FridmanPieter Abbeel tells Lex Fridman why preference comparisons, self-play, ten-minute demos, and messy ensembles of simulators are the practical path through deep reinforcement learning.Modèles et entraînementReinforcement LearningRobotics+2
54:03EN
Lex Fridman· 16 nov. 2018Podcast · 2 voixThe Hardest Part of Learning Was Left Out of the TextbooksInvité : Vladimir Vapnik · Anime : Lex FridmanVladimir Vapnik tells Lex Fridman why intelligence is the work of inventing predicates that shrink the admissible set of functions, not of fitting a rule to a mountain of data.Modèles et entraînementFondamentaux du MLDeep Learning Critique+3
42:18EN
Lex Fridman· 20 oct. 2018Podcast · 2 voixAn Adult Can Change Last Year's Mind. A Network Still Cannot.Invité : Yoshua Bengio · Anime : Lex FridmanYoshua Bengio tells Lex Fridman that the missing pieces of deep learning sit in credit assignment, training objectives, and a kind of compositionality borrowed from classical AI — not in ten thousand layers.Modèles et entraînementDeep LearningFondamentaux du ML+3
15:01EN
Lex FridmanPodcast · 2 voixDeep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still LacksInvité : Daniel Kahneman · Anime : Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.Modèles et entraînementDeep LearningAI research+3
54:33EN
Lex FridmanPodcast · 2 voixVision or Lidar, Human or Machine: Lex Fridman's 2019 Map of the Self-Driving RaceInvité : Self-Driving Cars · Anime : Lex FridmanThe opening lecture of MIT's 6.S094 course surveys 2018's milestones, the industry's optimistic predictions, and the beliefs about driving and humans that will decide who wins.Autonomous DrivingDeep LearningComputer Vision+3
10:16EN
Lex FridmanPodcast · 2 voixReasoning Without Logic: Yann LeCun on Teaching Neural Networks to ThinkInvité : Yann Lecun · Anime : Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.Modèles et entraînementFondamentaux du MLDeep Learning+3
17:21EN
Lex FridmanPodcast · 2 voixHow Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and IntentInvité : Rohit Prasad · Anime : Lex FridmanAlexa's head scientist recalls the early days of the Echo, when far-field speech recognition seemed unsolvable and there were no customers to collect data from.Multimodal et médiasIA vocaleProduct engineering+2
1:08:06EN
Lex FridmanPodcast · 2 voixDeep Learning in One Lecture: From Perceptrons to AutoML and the Limits of LearningInvité : Deep Learning Basics · Anime : Lex FridmanLex Fridman's opening lecture for MIT's 6.S094 course surveys why deep learning took off, how neural networks learn, and where the technique still falls short.Modèles et entraînementDeep LearningFondamentaux du ML+3
24:08EN
Lex FridmanPodcast · 2 voixIntelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared MeaningInvité : David Ferrucci · Anime : Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.PhilosophyAI researchAGI+2
10:34EN
Lex FridmanPodcast · 2 voixWhy Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AIInvité : François Chollet · Anime : Lex FridmanFrançois Chollet explains why neural networks only interpolate between points they have seen, and why the best AI systems pair them with symbolic rules.Modèles et entraînementFondamentaux du MLDeep Learning+2
52:28EN
Lex FridmanPodcast · 2 voixRay Kurzweil on Hierarchies, the Neocortex and Merging with AIInvité : Ray Kurzweil · Anime : Lex FridmanIn an MIT AGI course lecture, Kurzweil connects the history of neural networks to his hierarchical theory of the neocortex, language understanding at Google, longevity, jobs and existential risk.Modèles et entraînementAGIAI History+3
1:00:15EN
Lex FridmanPodcast · 2 voixCircuit Search, Hindsight and Self-Play: Ilya Sutskever's Case for Where Learning Is GoingInvité : Ilya Sutskever · Anime : Lex FridmanIn an MIT AGI lecture, OpenAI's co-founder explains why deep learning works, then walks through meta-learning, hindsight experience replay, sim-to-real transfer, self-play and learning goals from human feedback.Modèles et entraînementFondamentaux du MLDeep Learning+3
11:59EN
Lex FridmanPodcast · 2 voixFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeInvité : François Chollet · Anime : Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.Open source et communautéDeep LearningOpen-source ecosystems+3
26:45EN
Lex FridmanPodcast · 2 voixStart Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep LearningInvité : Andrew Ng · Anime : Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.Modèles et entraînementDeep LearningFondamentaux du ML+3
51:18EN
Lex FridmanPodcast · 2 voixEngineering Intelligence: Lex Fridman's Opening Lecture for MIT's AGI CourseInvité : MIT AGI · Anime : Lex FridmanLex Fridman lays out an engineering-first approach to artificial general intelligence, previews the course's projects and guest speakers, and frames deep learning's limits.Modèles et entraînementAGIAI research+3