deep learning
103 episodes mention this concept
hubermanlabMay 29, 2025The Philosophical and Practical Dimensions of AI: From Self-Supervised Learning to Human-Robot Relationships
TechnologyArtificial Intelligence (AI)Machine Learning (ML)Deep LearningNeural Networks
lexfridmanFeb 3, 2025DeepSeek, OpenAI, and the Geopolitics of AI: A Technical Dive into Open Weights, Reasoning Models, and Efficiency
TechnologyMixture of Experts (MoE)Open WeightsChain of Thought ReasoningPre-training
Awakening RichardJan 29, 2025DeepSeek AI's Cost-Efficiency Breakthrough: Professor Wong Yan on China's Path to AI Market Domination and the Limitations of Current AI
TechnologyDeepSeek AIAI market dominationAI raceDeep learning AI- lexfridmanNov 11, 2024
Dario Amodei on AI Scaling Laws, AGI Timelines, Claude's Evolution, and the Imperative of AI Safety
TechnologyScaling LawsScaling HypothesisLarge Language Models (LLMs)Artificial General Intelligence (AGI) 
NewEconomicThinkingNov 24, 2021Innovation, Inequality, and Local Prosperity in a Globalized World
EconomicsInnovation-based growthLocal prosperityGlobal system of fragmented productionHigh inequality- lexfridmanAug 29, 2021
Wojciech Zaremba on OpenAI's GPT-3, Codex, the Nature of Intelligence, Consciousness, and the Future of AI
TechnologyArtificial Intelligence (AI)GPT-3OpenAI CodexGitHub Copilot - hubermanlabJul 19, 2021
The Future of Human-Machine Interaction: AI, Learning, and the Dance with Robots with Dr. Lex Fridman
TechnologyArtificial Intelligence (AI)Machine Learning (ML)Deep LearningNeural Networks - NewEconomicThinkingJun 16, 2021
The Human Advantage: Framing, Mental Models, and AI in a Complex World
PhilosophyMental Models (Frames)Cognitive PsychologyBig DataMachine Learning - lexfridmanJan 4, 2021
The Synergy of AI and Human Intelligence in Speech-to-Text Services with Dan Kokotov of Rev.ai
TechnologySpeech-to-text (STT)Automated Speech Recognition (ASR)Word Error Rate (WER)Natural Language Processing (NLP) - lexfridmanDec 13, 2020
Michael Littman on Reinforcement Learning, AI's Future, and Dispelling Superintelligence Fears
TechnologyReinforcement LearningArtificial Intelligence (AI)Machine LearningArtificial General Intelligence (AGI) - lexfridmanDec 2, 2020
DeepMind's AlphaFold 2: Solving Protein Folding and Its Profound Impact on AI and Life Sciences
ScienceProtein FoldingAlphaFold 2Structural BiologyX-ray Crystallography - lexfridmanSep 15, 2020
Stephen Wolfram on the Fundamental Theory of Physics, Computational Equivalence, and the Limits of Scientific Prediction
ScienceHypergraphsCellular automataComputational equivalenceComputational irreducibility - NewEconomicThinkingJul 23, 2020
The AI Awakening: Economic Implications of Automation, Remote Work, and the Productivity Paradox
EconomicsArtificial General Intelligence (AGI)AutomationMachine LearningDeep Learning - lexfridmanJul 21, 2020
The Underestimated Complexity of Computer Vision, AI, and Autonomous Driving with Jitendra Malik
TechnologyComputer VisionDeep LearningArtificial Intelligence (AI)Human Vision - lexfridmanJul 14, 2020
Bridging the Intelligence Gap: Sergey Levine on Robotics, Deep Learning, and the Nature of Intelligence
ScienceDeep LearningReinforcement LearningRoboticsComputer Vision - lexfridmanJul 3, 2020
The Unified Science of Mind and Brain: Bridging Psychology, Neuroscience, and AI with Matt Botvinick
NeuroscienceCognitive psychologyComputational neuroscienceArtificial intelligenceDeep learning - lexfridmanMay 12, 2020
Adversarial Machine Learning and the Evolving Landscape of Computer Security
TechnologyComputer SecurityVulnerabilityMemory SafetyBuffer Overflow - lexfridmanMay 10, 2020
The Unification of AI Modalities: Vision, Language, and Reinforcement Learning, and the Elusive Definition of 'Hardness' in AI
TechnologyDeep LearningComputer VisionNatural Language Processing (NLP)Reinforcement Learning (RL) - lexfridmanMay 9, 2020
Ilya Sutskever on Building AGI: Self-Play, Simulation, Consciousness, and Human Control
TechnologyArtificial General Intelligence (AGI)Deep LearningSelf-playReinforcement Learning (RL) - lexfridmanMay 8, 2020
Ilya Sutskever on the Deep Learning Revolution, AI's Unity, and the Future of Intelligence
TechnologyDeep Learning RevolutionNeural NetworksBackpropagationHessian-free optimizer - lexfridmanApr 27, 2020
The Turing Test: Can Machines Think? A Philosophical and Engineering Deep Dive into AI
PhilosophyTuring TestImitation GameArtificial Intelligence (AI)Machine Learning - lexfridmanApr 24, 2020
Jack Dorsey on Square's Mission, Bitcoin as Internet's Native Currency, and the Philosophical Implications of AI
TechnologyEngineering at scaleOpen source communityCritical thinking skillsProblem-solving skills - lexfridmanApr 3, 2020
David Silver on AlphaGo, AlphaZero, and the Reinforcement Learning Path to Artificial Intelligence
TechnologyReinforcement Learning (RL)Deep Reinforcement LearningAlphaGoAlphaZero - lexfridmanFeb 29, 2020
John Hopfield on the Physics of Mind, Neurobiology, and the Future of AI
ScienceAssociative neural networksHopfield networksDeep learningEvolutionary biology - lexfridmanFeb 21, 2020
Andrew Ng's Expert Advice on Getting Started and Building a Career in Deep Learning and AI
TechnologyDeep LearningMachine LearningNeural NetworksGradient Descent - lexfridmanFeb 14, 2020
Vladimir Vapnik on Predicates, Invariants, and the Philosophical Essence of Intelligence in AI
ScienceStatistical learningSupport Vector Machines (SVM)VC theoryPredicates - lexfridmanFeb 7, 2020
Jim Keller on Elon Musk's First Principles, Tesla Autopilot's Future, and the Craft of Engineering
TechnologyFirst principles thinkingVehicle autonomyExponential improvementHardware acceleration - lexfridmanJan 16, 2020
Daniel Kahneman on Deep Learning, System 1 vs. System 2 in AI, and the Future of Machine Intelligence
TechnologySystem 1 (Cognition)System 2 (Cognition)Deep LearningPattern Matching - lexfridmanJan 14, 2020
Daniel Kahneman on Human Cognition, AI, and the Psychology of Decision-Making
PsychologySystem 1 thinkingSystem 2 thinkingCognitive biasesProspect theory - lexfridmanJan 13, 2020
Lex Fridman's Recipe for Progress in AI: The Essential Roles of Skepticism, Perseverance, and Hard Work
TechnologyDeep learningSkepticismLimitations of deep learningPerseverance - lexfridmanJan 10, 2020
Deep Learning: State of the Art in 2020, Key Advancements, Limitations, and Future Research
TechnologyDeep LearningNeural NetworksPerceptron (single-layer, multi-layer)Backpropagation - lexfridmanJan 10, 2020
Deep Learning: State of the Art in 2020, Key Advancements, Limitations, and Future Research
TechnologyDeep LearningNeural NetworksPerceptron (single-layer, multi-layer)Backpropagation - lexfridmanDec 28, 2019
Melanie Mitchell on the Nature of Intelligence, Analogy, and the Future of AI
TechnologyArtificial Intelligence (AI)CyberneticsComplex Information ProcessingCognitive Systems - lexfridmanDec 23, 2019
Balancing Innovation and Safety in Autonomous Vehicles: Tesla, Waymo, and the Deep Learning Revolution
TechnologyPublic safetyInnovation driveLeadership stylesLevel 2 autonomy 
DocSnipesDec 13, 2019Understanding and Addressing Fear of Missing Out (FOMO) in the Digital Age
PsychologyFear of Missing Out (FOMO)Persistent ConnectivitySocial Media ExacerbationHighlight Reels- lexfridmanNov 25, 2019
Gilbert Strang on Linear Algebra, Teaching, MIT OpenCourseWare, and the Mathematics of AI
ScienceLinear AlgebraMIT OpenCourseWareMatricesVectors - lexfridmanNov 9, 2019
Bjarne Stroustrup on Precision vs. Fuzziness in Programming: C++, Deep Learning, and Safety-Critical Systems
TechnologyMachine LearningDeep LearningC++ Programming LanguageFuzzy Programming - lexfridmanOct 12, 2019
The Dual Nature of Intelligence: Prediction, Explanation, and the Social Construct in AI
TechnologyPredictive intelligenceExplanatory intelligenceSocial construct of intelligenceAlien intelligence - lexfridmanOct 11, 2019
David Ferrucci on IBM Watson, the Nature of Intelligence, and the Social Construct of Meaning in AI
TechnologyArtificial Intelligence (AI)Question-Answering SystemsBiological Information ProcessingComputer Information Processing - lexfridmanOct 10, 2019
The Fundamental Limits of Deep Learning: Generalization, Hybrid AI, and the Path to True Intelligence
TechnologyDeep Learning LimitsFunction ApproximatorsLocal GeneralizationExtreme Generalization - lexfridmanOct 9, 2019
François Chollet on Why Scientific Progress is Linear, Not Exponential, and the Limits of AI Explosion
ScienceIntelligence explosionScientific progressRecursive self-improvementResource consumption - lexfridmanOct 8, 2019
The Genesis and Evolution of Keras: From Niche RNN Tool to TensorFlow's Core API
TechnologyKerasTensorFlowTheanoCaffe - lexfridmanOct 8, 2019
Optimizing Neural Network Training: Super Convergence, Learning Rates, and Academic Publishing Challenges
Technologylearning ratesuper convergenceneural networkshyper parameters - lexfridmanOct 6, 2019
Jeremy Howard on Deep Learning Frameworks: PyTorch, TensorFlow, fast.ai, and the Future with Swift
TechnologyDeep Learning FrameworksComputational GraphInteractive ComputationEager Execution (TF Eager) - lexfridmanSep 23, 2019
Deep Learning for Cancer Diagnosis and Treatment: A Personal and Scientific Journey with Regina Barzilay
HealthNatural Language Processing (NLP)Deep LearningOncologyCancer Diagnosis and Treatment - lexfridmanSep 14, 2019
François Chollet on Keras, Deep Learning, the Limits of AI, and the Myth of Intelligence Explosion
TechnologyKerasDeep LearningNeural NetworksIntelligence Explosion - lexfridmanSep 2, 2019
Deep Learning's Inevitable Role in Autonomous Driving: Evolution from Engineering to Learning
TechnologyDeep LearningAutonomous DrivingSupervised LearningModel-based Reinforcement Learning - lexfridmanSep 1, 2019
Yann LeCun on Neural Networks, Reasoning, and the Future of AI Architectures
TechnologyNeural networksReasoning (AI)Prior structure (AI)Gradient-based learning - lexfridmanAug 31, 2019
Yann LeCun on Deep Learning's Foundations, AI Reasoning, and Ethical Alignment
TechnologyDeep LearningConvolutional Neural Networks (ConvNets)Value MisalignmentObjective Functions - lexfridmanAug 28, 2019
Practical Advice for Getting Started and Becoming an Expert in Deep Learning with fast.ai
TechnologyDeep learningModel trainingFine-tuningInference (model) - lexfridmanAug 27, 2019
Deep Learning Accessibility, Programming Languages, and AI in Medicine with Jeremy Howard
TechnologyDeep Learning AccessibilityPractical Application of Deep LearningArray-Oriented Programming (APL, J)Domain-Specific Languages (DSLs) - NewEconomicThinkingJul 24, 2019
AI, Autonomy, and the Future of Labor: Economic and Societal Challenges
EconomicsHuman autonomyArtificial intelligence (AI)AutomationDeep learning - lexfridmanJul 15, 2019
Kai-Fu Lee on AI Superpowers: China, Silicon Valley, and the New World Order
TechnologyAI SuperpowersBreakthrough InnovationExecution-Oriented Value CreationRote Learning - lexfridmanJul 1, 2019
Jeff Hawkins on the Neocortex, Thousand Brains Theory, and the Path to True AI
NeuroscienceNeocortexHierarchical Temporal Memory (HTM)Thousand Brains Theory of IntelligenceCommon Cortical Algorithm - lexfridmanJun 3, 2019
TensorFlow's Evolution: From Google Brain's Inception to a Global Open-Source ML Ecosystem
TechnologyDeep LearningTensorFlowOpen SourceGoogle Brain - lexfridmanApr 18, 2019
Ian Goodfellow on Generative Adversarial Networks, Deep Learning Limitations, and the Future of AI Cognition
TechnologyGenerative Adversarial Networks (GANs)Deep LearningRepresentation LearningMachine Learning - lexfridmanApr 12, 2019
Elon Musk on Tesla Autopilot's Vision, AI Development, and the Future of Autonomous Driving
TechnologyAutonomyElectrificationFull Self-Driving (FSD)Sensor Suite - lexfridmanApr 3, 2019
Greg Brockman on OpenAI, AGI, and Shaping the Future of Intelligence
TechnologyArtificial General Intelligence (AGI)Deep LearningReinforcement LearningValue Alignment - lexfridmanFeb 26, 2019
Deep Learning, Safety, and the Industrialization of Autonomous Mobility
TechnologyDeep learningAutonomous driving/vehicles (AVs)Machine learningPerception system - lexfridmanFeb 12, 2019
Taming the Long Tail: Waymo's Machine Learning Approach to Autonomous Driving Challenges
TechnologyAutonomous drivingMachine learningDeep learningPerception (AV) - lexfridmanJan 19, 2019
Tomaso Poggio on Brains, Minds, Machines, and the Nature of Intelligence
ScienceTheory of RelativityGedanken experimentArtificial General Intelligence (AGI)Biological neural networks - lexfridmanJan 17, 2019
Deep Learning State of the Art (2019): Breakthroughs in NLP, Applied AI, and Reinforcement Learning
TechnologyDeep Learning State of the ArtNatural Language Processing (NLP)Encoder-Decoder ArchitectureRecurrent Neural Networks (RNNs) - lexfridmanJan 11, 2019
Deep Learning Basics: Foundations, Progress, and Future Challenges
TechnologyDeep LearningNeural NetworksOptimizationMachine Learning - lexfridmanDec 28, 2018
Tuomas Sandholm on Libratus, Game Theory, and AI in Imperfect Information Games
ScienceHeads-up No-Limit Texas Hold'emImperfect Information GamesGame TheoryNash Equilibrium - lexfridmanDec 4, 2018
Eric Schmidt on Google's Growth, AI's Future, and the Power of Scale and Vision
TechnologySpace programProgrammingOpen-source contributionsTechnology scaling - lexfridmanNov 16, 2018
Vladimir Vapnik: Statistical Learning, VC Theory, and the Nature of Intelligence
ScienceStatistical LearningSupport Vector Machines (SVM)VC Theory (Vapnik-Chervonenkis Theory)Instrumentalism - lexfridmanApr 25, 2018
Ilya Sutskever on Deep Learning Foundations, Meta-Learning, and Self-Play for AGI
TechnologyDeep Learning PrinciplesGeneralization Theory (shortest program)Computational Intractability (program search)Backpropagation (circuit search) - lexfridmanApr 21, 2018
Geoffrey Hinton on Future Deep Learning Excitements: Machine Translation and Semantic Document Search
TechnologyDeep LearningMachine TranslationDocument UnderstandingSemantic Search - lexfridmanMar 14, 2018
Sterling Anderson: From MIT's Intelligent Co-Pilot to Aurora's Autonomous Future
TechnologyShared human-machine controlIntelligent co-pilotAdaptive automationModel Predictive Control (MPC) - lexfridmanFeb 16, 2018
Waymo's Decade-Long Journey: Engineering Self-Driving Perception with Deep Learning
TechnologySelf-driving carsDeep learningMachine learningPerception (autonomous driving) - lexfridmanDec 13, 2017
Motion Planning and the Evolution of Autonomous Systems: From DARPA Challenge to Agile Robotics
TechnologyMotion PlanningAutonomous VehiclesRapidly Exploring Random Tree (RRT)RRT* (RRT-star) - lexfridmanDec 6, 2017
Chris Gerdes on the Interplay of Technology, Policy, and Ethics in Autonomous Vehicle Safety and Regulation
TechnologyAutonomous Vehicles (AVs)Federal Motor Vehicle Safety Standards (FMVSS)Manufacturer Self-CertificationFederal Automated Vehicle Policy (FAVP) - lexfridmanSep 27, 2016
The Evolution, Architecture, and Impact of Convolutional Neural Networks in Computer Vision
TechnologyDeep LearningComputer VisionNeural NetworksConvolutional Neural Networks (CNNs) - lexfridmanSep 27, 2016
Foundations of Unsupervised Deep Learning: Sparse Coding, Autoencoders, and Generative Models
TechnologyUnsupervised LearningSupervised LearningDeep LearningHierarchical Representations - lexfridmanSep 27, 2016
Deep Learning for Speech Recognition: From Traditional Pipelines to End-to-End Systems with CTC
TechnologyDeep LearningSpeech RecognitionAcoustic ModelLanguage Model - lexfridmanSep 27, 2016
Deep Learning for Natural Language Processing: Foundations, Word Vectors, and Recurrent Neural Networks
TechnologyNatural Language Processing (NLP)Deep LearningArtificial Intelligence (AI)Linguistics - lexfridmanSep 27, 2016
Demystifying Deep Learning: A Practical and Conceptual Dive into Torch and Automatic Differentiation
TechnologyMachine LearningDeep Learning LibrariesTorch (programming framework)Lua (programming language) - lexfridman
Peter Norvig on the Evolution of AI, Ethical Challenges, and the Future of Learning
TechnologyArtificial Intelligence (AI)Machine LearningDeep LearningUtility Function - lexfridman
Pamela McCorduck on the Mythic Origins, Early Pioneers, and Enduring Dreams of Artificial Intelligence
TechnologyArtificial Intelligence (AI)History of AIPhilosophical significance of AIMyth and legend in AI - lexfridman
Deep Learning for Human-Centered Semi-Autonomous Vehicles: Driver Monitoring and Trust
TechnologyHuman-centered AISemi-autonomous vehiclesFully-autonomous vehiclesDriver monitoring systems - lexfridman
Oriol Vinyals on AlphaStar, Deep Reinforcement Learning, and the Evolution of AI in Real-Time Strategy Games
TechnologyDeep LearningReinforcement Learning (RL)AlphaStarStarCraft (Real-Time Strategy game) - lexfridman
Oriol Vinyals on Generalist AI Agents, AGI, and the Future of Deep Learning
TechnologyNeural NetworksDeep LearningArtificial General Intelligence (AGI)Reinforcement Learning - lexfridman
Oliver Cameron (Voyage CEO) on Founding a Self-Driving Car Startup and Niche Market Disruption
TechnologySelf-driving carsDeep learningMassively Open Online Courses (MOOCs)Artificial intelligence for robotics - lexfridman
Noam Chomsky on Language, Cognition, Deep Learning, and the Limits of Human Understanding
ScienceInternal language system (I-language)External language system (E-language)Language facultyStructure dependence - lexfridman
The Business and Philosophy of Machine Learning: Promise, Limitations, and the Quest for General Intelligence
TechnologyMachine LearningArtificial Intelligence (AI)Deep LearningSupervised Learning - lexfridman
MIT Self-Driving Cars: Utopian Visions, Ethical Dilemmas, and the Future of Human-AI Autonomy
TechnologyAutonomous VehiclesDeep LearningHuman-Centered AutonomyFull Autonomy 
HealthyGamerGGHow AI Diminishes Critical Thinking and Deep Learning: The Brain Rust Phenomenon
PsychologyBrain rustCritical thinking diminutionDeep learningSurface-level information- lexfridman
Deep Learning for Human Sensing in Autonomous Vehicles: Data, Annotation, and Human-Centered AI
TechnologyDeep LearningComputer VisionHuman SensingReal-world Data Collection - lexfridman
MIT 6.S094: Deep Learning Architectures and Semantic Segmentation in Computer Vision
TechnologyComputer VisionDeep LearningNeural NetworksSupervised Learning - lexfridman
Reverse Engineering Human Intelligence for Advanced AI and AGI: A Cognitive Science Approach
ScienceArtificial General Intelligence (AGI)AI TechnologiesDeep LearningPattern Recognition - lexfridman
Privacy-Preserving AI: Enabling Data Science on Unseen Data with PySyft and Differential Privacy
TechnologyPrivacy-Preserving AIRemote ExecutionDeep Learning FrameworksTensor - lexfridman
MIT AGI: Engineering Intelligence - Bridging Theory, Practice, and Societal Impact
TechnologyArtificial General Intelligence (AGI)Deep LearningReinforcement LearningComputational Cognitive Science - lexfridman
Andrew Ng on Deep Learning, Education, Automation, and the Future of AI Development
TechnologyMachine LearningDeep LearningArtificial Intelligence (AI)Automation - lexfridman
Practical Deep Learning Strategies: Scale, End-to-End Architectures, and Evolving Bias-Variance Trade-offs
TechnologyDeep Learning ProgressScale (Data & Computation)Traditional Learning AlgorithmsNeural Networks - lexfridman
MIT-AVT: Real-World Driver Behavior Analysis in Autonomous Vehicles
TechnologyAutonomous Vehicle Technology (AVT)Vehicle InstrumentationDriver Behavior AnalysisHuman-Automation Interaction - lexfridman
MIT 6.S094: Introduction to Deep Learning, Neural Networks, and Self-Driving Cars
TechnologyDeep LearningDeep Neural NetworksSelf-Driving CarsDeep Reinforcement Learning - lexfridman
MIT 6.S094: Deep Learning for Self-Driving Cars - Foundations, Challenges, and Human-Centered AI
TechnologyDeep LearningSelf-Driving CarsArtificial Intelligence (AI)Reinforcement Learning - lexfridman
MIT-AVT's Ryder: A Robust Data Collection System for Large-Scale Semi-Autonomous Driving Research
TechnologyNaturalistic driving dataSemi-autonomous drivingAutonomous vehicle technologySingle board computer (SBC) - lexfridman
Most Deep Learning Research is a Waste: Prioritizing Practicality Over Academic Trends
TechnologyDeep Learning ResearchAcademic IncentivesPublication BiasPractical Utility - lexfridman
The Genesis and Engineering Challenges of Amazon Alexa's Far-Field Speech Recognition and Multi-Domain NLU
TechnologyFar-field speech recognitionWake word detectionNatural Language Understanding (NLU)Deep learning - lexfridman
Rodney Brooks on the Nature of Intelligence, Computation, and the Future of Robotics
TechnologyRoboticsArtificial Intelligence (AI)Humanoid RobotsSeries Elastic Actuators - lexfridman
Human-Centered AI: Integrating Human Intelligence for Robust, Ethical, and Explainable AI Systems
TechnologyHuman-Centered Artificial Intelligence (AI)Learning-based approachesDeep learningMachine learning - lexfridman
Ray Kurzweil on the Future of Intelligence, AGI, Deep Learning, and the Hierarchical Neocortex
TechnologyArtificial General Intelligence (AGI)Deep LearningNeural NetworksLaw of Accelerating Returns
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