computation
86 episodes mention this concept
hubermanlabApr 6, 2026The Science of Awe: Cultivating Emotional Connection and Well-being in Daily Life
PsychologyAweEmotion scienceSocial bondingTeasing
ChrisWillxMar 31, 2026The Alibaba AI Incident and the Terrifying Reality of Autonomous AI Behavior
TechnologyAI SafetyAutonomous Tool UseReinforcement Learning OptimizationAI Self-Replication- hubermanlabFeb 2, 2026
How Dopamine & Serotonin Shape Decisions, Motivation & Learning: Beyond Reward to Continuous Expectation Updating
NeuroscienceDopamineSerotoninNeuromodulatorsMotivation 
NewEconomicThinkingDec 10, 2025Measuring Exploitation and Inequality in the Global Economy: The Exploitation Intensity Index
EconomicsExploitation intensity indexRedistributive policyImperialistic international relationsCore-periphery structure
lexfridmanJun 14, 2025Terence Tao on Hard Problems, Navier-Stokes, and the Future of AI with Liquid Computers
ScienceRiemann hypothesisTwin primes conjectureKaya problemPartial differential equations (PDEs)
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- hubermanlabNov 18, 2024
How Simple Algorithms, Dopamine, and AI Drive Learning and Motivation in the Brain
NeuroscienceComputational NeuroscienceAlgorithmsLarge Language Models (LLMs)Artificial Intelligence (AI) - lexfridmanApr 17, 2024
The Computational and Cognitive Architecture of Human Language: Syntax, Evolution, and Cultural Influence
SciencePsycholinguisticsSyntaxGrammarForm vs. Meaning (in LLMs) - lexfridmanJun 29, 2023
George Hotz on AI, Consciousness, the Future of Humanity, and the Biological vs. Silicon Stacks of Life
TechnologyWireheadingComputational complexity (P vs NP)Large Language Models (LLMs)Reinforcement Learning with Human Feedback (RLHF) - lexfridmanMay 9, 2023
Stephen Wolfram on ChatGPT, Deep vs. Shallow Computation, Computational Irreducibility, and the Nature of the Observer
ScienceLarge Language Models (LLMs)Wolfram AlphaWolfram LanguageNeural Networks - lexfridmanMay 9, 2023
Stephen Wolfram on ChatGPT, Deep vs. Shallow Computation, Computational Irreducibility, and the Nature of the Observer
ScienceLarge Language Models (LLMs)Wolfram AlphaWolfram LanguageNeural Networks - lexfridmanApr 10, 2023
Edward Frenkel: The Interplay of Mathematics, Quantum Physics, and Human Experience
ScienceLanglands ProgramQuantum PhysicsRepresentation Theory (of SU(3))Group Theory - lexfridmanNov 29, 2022
Todd Howard on Designing Open Worlds, Immersion, and the Future of Gaming with Elder Scrolls, Fallout, and Starfield
TechnologyOpen-world designPlayer agencyNPC reactivityState machines (AI) - lexfridmanJul 12, 2022
Demis Hassabis on AI, Chess Strategy, and AlphaZero's Immortal Games
TechnologyMultiple agents (cognitive model)English opening (chess)Middle game (chess)End game (chess) - lexfridmanJun 26, 2022
DeepMind's AI Milestones: From Board Games to General Problem Solving
TechnologyArtificial Intelligence (AI)DeepMindProblem SolvingGeneralization - lexfridmanJun 25, 2022
Jonathan Reisman on The Human Body: Evolutionary Design, Taboos, and the Doctor's Perspective on Anatomy
ScienceEvolutionary designBiological optimalityAnatomical design flawsDexterity - lexfridmanFeb 6, 2022
Garry Nolan: DNA, Consciousness, UFOs, and the Search for Extraterrestrial Intelligence
ScienceDynamic computation (DNA)Epigenetic stateComputational matrix (universe)Selfish gene hypothesis - lexfridmanFeb 6, 2022
Garry Nolan: DNA, Consciousness, UFOs, and the Search for Extraterrestrial Intelligence
ScienceDynamic computation (DNA)Epigenetic stateComputational matrix (universe)Selfish gene hypothesis - lexfridmanNov 23, 2021
Kevin Systrom on Instagram's Origin, Product Market Fit, and Data-Driven Design
TechnologyProduct-market fitCheck-in appsPhoto sharingIterative product development - lexfridmanOct 27, 2021
Stephen Wolfram: Complexity, Computational Irreducibility, and the Hypergraph Fabric of Reality
ScienceComplexityComputational UniverseCellular AutomataRule 30 - lexfridmanOct 27, 2021
Stephen Wolfram: Complexity, Computational Irreducibility, and the Hypergraph Fabric of Reality
ScienceComplexityComputational UniverseCellular AutomataRule 30 - lexfridmanSep 9, 2021
Donald Knuth on Early Programming, Machine Learning, Literate Code, and the Future of AI Automation
TechnologyDecimal machine languageAssemblerDebuggingOff-by-one errors - lexfridmanSep 6, 2021
Jaron Lanier on Virtual Reality, AI, Social Media, and the Human Experience of Reality
TechnologyVirtual Reality (VR)Augmented Reality (AR)Mixed RealitySurgical Simulator - 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 - lexfridmanJan 11, 2021
Dmitry Korkin on the Modular Evolution of Proteins, SARS-CoV-2 Viral Structure, and Computational Biology
ScienceProteinsAmino acid residuesProtein domainsModular complexity - lexfridmanDec 26, 2020
Machine Learning, Education, and the Philosophy of Computer Science: A Dialogue with Charles Isbell and Michael Littman
TechnologyMachine LearningComputational StatisticsNeural NetworksHyperparameters - 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 - lexfridmanOct 25, 2020
Manolis Kellis on the Computational Biology of Human Disease, Genetic Perturbations, and Societal Interventions
ScienceMolecular basis of human diseaseComputational biologyHuman genome complexityEpigenome complexity - lexfridmanSep 15, 2020
Stephen Wolfram on the Fundamental Theory of Physics, Computational Equivalence, and the Limits of Scientific Prediction
ScienceHypergraphsCellular automataComputational equivalenceComputational irreducibility - lexfridmanSep 15, 2020
Stephen Wolfram on the Fundamental Theory of Physics, Computational Equivalence, and the Limits of Scientific Prediction
ScienceHypergraphsCellular automataComputational equivalenceComputational irreducibility - lexfridmanSep 15, 2020
Stephen Wolfram on the Fundamental Theory of Physics, Computational Equivalence, and the Limits of Scientific Prediction
ScienceHypergraphsCellular automataComputational equivalenceComputational irreducibility - lexfridmanSep 15, 2020
Stephen Wolfram on the Fundamental Theory of Physics, Computational Equivalence, and the Limits of Scientific Prediction
ScienceHypergraphsCellular automataComputational equivalenceComputational irreducibility - lexfridmanAug 14, 2020
Brain-Inspired AI: Understanding and Engineering Intelligence with Dileep George
ScienceBrain-Inspired AIHierarchical Temporal Memory (HTM)Recursive Cortical Networks (RCN)Blue Brain Project - lexfridmanJul 31, 2020
Manolis Kellis on the Digital Nature of Life, Human Genome's Beauty, and the Dynamics of Genetic and Horizontal Inheritance
ScienceDigital inheritanceAnalog inheritanceMendelian traitsContinuum-like inheritance - lexfridmanJul 26, 2020
Richard Karp: The Elegance of Algorithms, NP-Completeness, and the Philosophical Limits of AI
SciencePlain geometryFormal proofsComputational complexityP versus NP problem - NewEconomicThinkingJul 23, 2020
The AI Awakening: Economic Implications of Automation, Remote Work, and the Productivity Paradox
EconomicsArtificial General Intelligence (AGI)AutomationMachine LearningDeep Learning - lexfridmanJul 3, 2020
The Unified Science of Mind and Brain: Bridging Psychology, Neuroscience, and AI with Matt Botvinick
NeuroscienceCognitive psychologyComputational neuroscienceArtificial intelligenceDeep learning - lexfridmanJun 26, 2020
Sophia, AGI, and the Ethics of Anthropomorphic Robotics: A Conversation with Ben Goertzel
TechnologyArtificial General Intelligence (AGI)Computational CompassionSingularityHardware Ecosystem - lexfridmanJun 14, 2020
The Nature of Happiness, Meaning, and God: A Philosophical Inquiry into Self-Organization and Civilization
PhilosophySuffering (as a result of caring)Happiness (as internal appraisal)Crisis of MeaningSelf-organizing systems - 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 22, 2020
Computational Biology of Coronaviruses: Understanding Viral Structure, Function, and Pandemic Preparedness
ScienceBioinformaticsComputational BiologyComputational GenomicsSystems Biology - lexfridmanApr 22, 2020
Computational Biology of Coronaviruses: Understanding Viral Structure, Function, and Pandemic Preparedness
ScienceBioinformaticsComputational BiologyComputational GenomicsSystems Biology - lexfridmanApr 21, 2020
Stephen Wolfram on the Wolfram Language, Computable Knowledge, and the Future of AI
TechnologyWolfram LanguageMathematicaWolfram AlphaSymbolic language - lexfridmanApr 21, 2020
Stephen Wolfram on the Wolfram Language, Computable Knowledge, and the Future of AI
TechnologyWolfram LanguageMathematicaWolfram AlphaSymbolic language - lexfridmanApr 20, 2020
Richard Feynman, Stephen Wolfram, and the Nature of Computation, Intuition, and Emergent Complexity
ScienceComputationIntuitionSystematizationQuantum computing - lexfridmanApr 20, 2020
Richard Feynman, Stephen Wolfram, and the Nature of Computation, Intuition, and Emergent Complexity
ScienceComputationIntuitionSystematizationQuantum computing - lexfridmanApr 18, 2020
Stephen Wolfram on Cellular Automata, the Nature of Computation, and the Quest for a Fundamental Theory of Physics
ScienceCellular AutomataComputational IrreducibilityExtraterrestrial Intelligence (ETI)Artificial Intelligence (AI) - lexfridmanMar 12, 2020
Biological vs. Artificial Neural Networks: Evolution, Understanding, and the Future of AI
ScienceBiological Neural NetworksArtificial Neural NetworksEvolutionary BiologyPhase Transition - lexfridmanFeb 17, 2020
Quantum Computing, Computational Complexity, and the Philosophical Limits of Prediction with Scott Aaronson
ScienceQuantum ComputingComputational Complexity TheoryComplexity ClassesComplexity Zoo wiki - lexfridmanFeb 10, 2020
Jim Keller on Simplicity, Deep Understanding, and the Necessity of Rewriting in Engineering
TechnologyDeep UnderstandingRecipe-based ExecutionComputational SimplicityComputer Architecture - lexfridmanJan 12, 2020
Lex Fridman's Intellectual Journey: From Psychiatry to AI as the Path to Understanding the Mind
TechnologyHuman mind engineeringTraditional psychiatryModern psychiatryBioengineering (drugs) - lexfridmanJan 4, 2020
Donald Knuth on P=NP, Algorithm Existence, and the Robertson-Seymour Theorem
ScienceP=NP problemAlgorithm existenceAlgorithm discoverabilityComputational complexity - lexfridmanDec 31, 2019
The Nature of Geek Thinking: Abstraction, Non-Uniformity, and Alan Turing's Computational Mind
TechnologyComputational thinkingGeek mindsetLevels of abstractionNon-uniformity (in algorithms/systems) - lexfridmanDec 30, 2019
Donald Knuth: The Art of Computer Programming, Geek Thinking, and the Evolution of Algorithms
TechnologyComputational complexityAsymptotic notation (Big O notation)TeX typesetting systemIBM 650 computer - lexfridmanNov 19, 2019
Algorithmic Fairness, Privacy, and Ethics: Bridging Technical Solutions and Philosophical Dilemmas
Technologyalgorithmic fairnessdifferential privacymachine learninggame theory - lexfridmanNov 7, 2019
Bjarne Stroustrup on C++, Programming Language Evolution, and Engineering Reliable Systems
TechnologyC++ programming languageObject-oriented programming (OOP)InheritanceRuntime polymorphism - lexfridmanOct 29, 2019
Garry Kasparov on IBM Deep Blue, AlphaZero, and the Limits of AI in Open Systems
TechnologyClosed SystemsOpen-ended SystemsBrute Force AIMachine-produced Knowledge - lexfridmanOct 27, 2019
Garry Kasparov on Chess, Deep Blue, AI, and Human-Machine Collaboration
TechnologyHuman-machine relationsClosed systems (in AI)Open-ended systems (in AI)Brute force AI (Shannon's Type A machine) - 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) - NewEconomicThinkingSep 11, 2019
The Flawed Psychology of Neoclassical Economics: A Critique of Homo Economicus and the Rise of Behavioral Insights
EconomicsHomo economicusNeoclassical economicsBehavioral economicsUtility maximization - 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) - lexfridmanAug 16, 2019
The Ultimate Question for AGI: Unveiling Reality Beyond the Simulation
TechnologyArtificial General Intelligence (AGI)Simulation HypothesisNature of RealityExistential Questions - lexfridmanFeb 7, 2019
From BattleBots to Billions: Kyle Vogt's Journey in Robotics, Streaming, and Autonomous Vehicles
TechnologyVehicle automationFIRST RoboticsBattleBotsLego Mindstorms - 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) - 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) - lexfridmanMar 2, 2018
Stephen Wolfram on the Computational Universe, Wolfram Alpha, and the Path to Artificial General Intelligence
TechnologyArtificial General Intelligence (AGI)Computational UniverseCellular AutomataWolfram Alpha - lexfridmanMar 2, 2018
Stephen Wolfram on the Computational Universe, Wolfram Alpha, and the Path to Artificial General Intelligence
TechnologyArtificial General Intelligence (AGI)Computational UniverseCellular AutomataWolfram Alpha - 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) - lexfridmanSep 27, 2016
TensorFlow Core APIs: Building Machine Learning Models from Linear Regression to Digit Recognition
TechnologyTensorFlowMachine Learning LibraryOpen SourceData Flow Infrastructure - lexfridmanSep 27, 2016
Theano: A Symbolic Expression Compiler for Deep Learning and GPU Acceleration
TechnologyTheanoSymbolic expression compilerComputation graphAutomatic differentiation - lexfridmanSep 27, 2016
The Evolution, Architecture, and Impact of Convolutional Neural Networks in Computer Vision
TechnologyDeep LearningComputer VisionNeural NetworksConvolutional Neural Networks (CNNs) - lexfridman
Jim Keller on the Enduring Relevance of Moore's Law and the Future of Computation
TechnologyMoore's Law (Gordon Moore's original definition)Operational Moore's Law (performance increase)Transistor countShrink factor - lexfridman
Deep Reinforcement Learning Fundamentals: From Perceptrons to Q-Learning for Motion Planning
TechnologyDeep Reinforcement Learning (DRL)Supervised LearningUnsupervised LearningSemi-supervised Learning - lexfridman
Google Pixel 6 AI Explained: Deep Dive into the Tensor Chip and Smartphone Machine Learning
TechnologyNeural NetworksTensorFlow LiteAI Hardware OptimizationSystem on a Chip (SoC) - lexfridman
The Business and Philosophy of Machine Learning: Promise, Limitations, and the Quest for General Intelligence
TechnologyMachine LearningArtificial Intelligence (AI)Deep LearningSupervised Learning - lexfridman
Reverse Engineering Human Intelligence for Advanced AI and AGI: A Cognitive Science Approach
ScienceArtificial General Intelligence (AGI)AI TechnologiesDeep LearningPattern Recognition - lexfridman
MIT AGI: Engineering Intelligence - Bridging Theory, Practice, and Societal Impact
TechnologyArtificial General Intelligence (AGI)Deep LearningReinforcement LearningComputational Cognitive Science - lexfridman
Rodney Brooks on the Nature of Intelligence, Computation, and the Future of Robotics
TechnologyRoboticsArtificial Intelligence (AI)Humanoid RobotsSeries Elastic Actuators - lexfridman
Noam Chomsky on Structure Dependence: The Deepest Property of Language and the Human Mind
ScienceStructure DependenceLinguisticsCognitive ScienceHuman Mind - lexfridman
Nick Bostrom on the Simulation Hypothesis, Existential Risk, and the Future of Superintelligence
PhilosophySimulation HypothesisSimulation ArgumentTechnological MaturityExistential Risk - lexfridman
Neri Oxman: Designing with Nature – From Material Ecology to Growing Products and Empowering Biological Systems
ScienceMaterial ecologyAnthropomassBiomassTechnosphere - lexfridman
Neil Gershenfeld on Self-Replicating Robots, Digital Materials, and Rethinking the Foundations of Computing
TechnologyBits and atomsSelf-reproducing automataMorphogenesisTuring machine - lexfridman
Neri Oxman: Designing with Nature – From Material Ecology to Growing Products and Empowering Biological Systems
ScienceMaterial ecologyAnthropomassBiomassTechnosphere - lexfridman
Neuroevolution, Artificial Intelligence, and the Nature of Intelligence: A Computational Perspective on Evolution and Consciousness
ScienceEvolutionary ComputationNeuroevolutionNature-inspired algorithmsComputational models of evolution - lexfridman
Roger Penrose on Consciousness, Computation, and the Limits of Artificial Intelligence
ScienceComputational view of consciousnessGödel's Incompleteness TheoremUniversal Turing machineNon-computational understanding - lexfridman
Most Deep Learning Research is a Waste: Prioritizing Practicality Over Academic Trends
TechnologyDeep Learning ResearchAcademic IncentivesPublication BiasPractical Utility
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