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37:00EN
Lex FridmanPodcastInside the YouTube Algorithm: Related Graphs, Satisfaction Surveys and the Viewers Who Are Part of the CodeAnime : Lex FridmanYouTube's head of search and discovery, Cristos Goodrow, explains to Lex Fridman how search and recommendations work, which signals matter, and how the team measures whether viewers are better off.Modèles et entraînementRecommendation systemsSearch & retrieval+3
15:41EN
Lex FridmanPodcastAbolishing Involuntary Death: Ben Goertzel on Immortality, Pain and the Meaning of LifeAnime : Lex FridmanIn a clip from Lex Fridman's podcast, AI researcher Ben Goertzel argues that death and pain should be optional, and sketches what it would take to fund a serious attack on aging.PhilosophyNeuroscience & AIAGI
1:31:52EN
Lex FridmanPodcastFrom Phonemes to CTC: How Deep Learning Rebuilt Speech RecognitionAnime : Lex FridmanBaidu's Adam Coates walks through the traditional speech pipeline, the CTC-based end-to-end engine that replaced much of it, and what it takes to scale and deploy it.Modèles et entraînementDeep LearningMultimodal AI+2
21:52EN
Lex FridmanPodcastThe Secret Seminar: Eric Weinstein on What Happens When Academia Meets Someone It Can't CategorizeAnime : Lex FridmanIn a clip from the Lex Fridman Podcast, mathematician Eric Weinstein recounts discovering a hidden seminar at Harvard and explains why he thinks institutions fail on novel cases.Science CommunicationCareer GrowthPhilosophy+2
46:21EN
Lex FridmanPodcastForty-Eight Miles, Twelve Thank-Yous: Lex Fridman Takes On the Goggins ChallengeAnime : Lex FridmanLex Fridman runs four miles every four hours for 48 hours and records a gratitude reflection after each session.Martial ArtsCombat SportsJiu Jitsu
17:40EN
Lex FridmanPodcastFrom AlphaGo Zero to MuZero: How Self-Play Strips Knowledge Out of AIAnime : Lex FridmanDeepMind's David Silver explains why removing human knowledge made AlphaZero stronger and more general, and how MuZero extended the idea to worlds with unknown rules.Modèles et entraînementReinforcement LearningAI research+3
1:07:22EN
Lex FridmanPodcastCars That Drive Empty: Emilio Frazzoli on Why Self-Driving Needs Rules, Not Just DataAnime : Lex FridmanThe nuTonomy CTO explains why full autonomy and shared fleets are where the value lies, and why the hardest open problem is deciding how vehicles should behave.Autonomous DrivingRoboticsAI startups & small teams+3
1:10:12EN
Lex FridmanPodcastGrandpa Lex Visits Night City: A Rusty Gamer's First Hours in Cyberpunk 2077Anime : Lex FridmanLex Fridman plays the opening stretch of Cyberpunk 2077 on release day, narrating character creation, shaky driving, tutorials, cyberware surgery and his verdict.Storytelling
1:07:35EN
Lex FridmanPodcastWhy AI Will Never Be Perfect: Lex Fridman's Case for Keeping Humans in the LoopAnime : Lex FridmanIn MIT 6.S093's opening lecture, Lex Fridman lays out five research areas of human-centered AI, from machine teaching to arguing machines that flag their own uncertainty.Modèles et entraînementHuman-AI CollaborationFondamentaux du ML+3
1:13:18EN
Lex FridmanPodcastHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and MachineAnime : Lex FridmanLecture 2 of MIT's 2018 course on deep learning for self-driving cars covers the two paths to autonomy, how sensors compare, who is building what, and where deep learning can help.Autonomous DrivingSécurité et gouvernanceRobotics+3
28:53EN
Lex FridmanPodcastTake Back MIT: Eric Weinstein on Broken Institutions and the Scientists Who Should Reclaim ThemAnime : Lex FridmanIn a clip from their longer conversation, Eric Weinstein and Lex Fridman argue over whether MIT can be won back from its administrators, and what it means to be betrayed by the institutions we trust.Free SpeechPolitical PhilosophyScience Communication+1
1:11:50EN
Lex FridmanPodcastData Is Everything: Teaching Self-Driving Cars to Understand the Human Behind the WheelAnime : Lex FridmanIn an MIT lecture, Lex Fridman shows how deep learning can sense pedestrians, driver posture, gaze, emotion and cognitive load, and why that matters for human-centered autonomy.Multimodal et médiasDeep LearningVision et vidéo+3
17:10EN
Lex FridmanPodcastBitcoin’s puzzle is a Byzantine agreement machineAnime : Lex FridmanVitalik Buterin explains how proof of work turns a fault-tolerance thought experiment into a shared ledger, and why a 50 percent attack and quantum mining are less simple than they sound.Cryptocurrency
30:30EN
Lex FridmanPodcastFrom Bitcoin Magazine to Ethereum 2.0: Vitalik Buterin on Building a World ComputerAnime : Lex FridmanVitalik Buterin traces Ethereum's origin in the Bitcoin community, the governance fights that followed, and the proof-of-stake and sharding upgrades still to come.Infrastructure et déploiementCryptocurrency
1:18:48EN
Lex FridmanPodcastData Movement, Not Math: How to Make Deep Learning Fit on Robots and PhonesAnime : Lex FridmanMIT professor Vivienne Sze explains why moving data dominates the energy cost of neural networks and how co-designing hardware and algorithms can cut it by orders of magnitude.Infrastructure et déploiementInferenceAI cost & performance+3
16:41EN
Lex FridmanPodcastAlphaFold 2 and the Protein-Folding Breakthrough: Why Lex Fridman Calls It a Landmark for AI and BiologyAnime : Lex FridmanA quick explainer on DeepMind's CASP14 result, how protein folding works, how AlphaFold 1 and 2 likely differ, and what the advance could unlock.Modèles et entraînementAI for scienceDeep Learning+2
12:16EN
Lex FridmanPodcastRule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational ExperimentAnime : Lex FridmanWolfram recalls working with Feynman at Thinking Machines, why Feynman hid his calculations, and how building a computer language changed his approach to science.AI HistoryFirst PrinciplesScience Communication+1
1:19:52EN
Lex FridmanPodcastFrom Pixels to Steering Wheels: Convolutional Networks and End-to-End DrivingAnime : Lex FridmanLex Fridman's MIT 6.S094 lecture explains how convolutional neural networks work, where deep learning helps a self-driving car, and how to train a network to steer from video.Modèles et entraînementAutonomous DrivingDeep Learning+3
13:30EN
Lex FridmanPodcastDistance, Jabs and Three Rules: Georges St-Pierre Teaches Lex Fridman Wrestling and Ground DefenseAnime : Lex FridmanA training session in which the former champion explains how takedowns and ground fighting differ between MMA and jiu-jitsu.Martial ArtsCombat SportsJiu Jitsu
1:27:30EN
Lex FridmanPodcastFrom NAND Gates to Self-Driving Traffic: Deep Reinforcement Learning in One LectureAnime : Lex FridmanLex Fridman's second MIT 6.S094 lecture walks from the humble perceptron to deep Q-learning and the browser-based DeepTraffic competition.Modèles et entraînementReinforcement LearningDeep Learning+2
1:05:15EN
Lex FridmanPodcastTaming the Long Tail: How Waymo Builds a Self-Driving FactoryAnime : Lex FridmanWaymo principal scientist Drago Anguelov explains how machine learning infrastructure, hybrid design and smart simulated agents tackle the rare events of autonomous driving.Modèles et entraînementAutonomous DrivingRobotics+3
1:27:15EN
Lex FridmanPodcastPolicy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement LearningAnime : Lex FridmanOpenAI's John Schulman walks through the core methods of deep RL, from the score function estimator to TRPO and DQN, and says when each one is worth using.Modèles et entraînementReinforcement LearningFondamentaux du ML+3
1:19:21EN
Lex FridmanPodcastVapnik's Case for Learning by Predicates, Not Just by More DataAnime : Lex FridmanIn an MIT lecture, Vladimir Vapnik argues that complete statistical learning needs two mechanisms, data and invariants, and that choosing smart predicates is where intelligence lives.Modèles et entraînementFondamentaux du MLAI research+2
1:03:25EN
Lex FridmanPodcastTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your MathAnime : Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.Modèles et entraînementDeep LearningFondamentaux du ML+3
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