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2:31:57EN
Lex Fridman· 20 sept 2021Pódcast · 2 vocesJay McClelland on How Thought Emerges From Neural NetworksInvitado: Jay McClelland · Presenta: Lex FridmanThe Stanford cognitive scientist talks with Lex Fridman about connectionism, backpropagation, David Rumelhart, and why intuition discovers what logic later proves.Modelos y entrenamientoFundamentos de MLDeep Learning+3
2:52:56EN
Lex Fridman· 15 sept 2021Pódcast · 2 vocesDouglas Lenat's 37-Year Bet That Common Sense Can Be Written DownInvitado: Douglas Lenat · Presenta: Lex FridmanSince 1984, Cyc has been encoding the unstated rules of the world so machines can reason instead of merely pattern-match.RAG y conocimientoAI HistoryAGI+1
2:24:52EN
Lex Fridman· 3 sept 2021Pódcast · 2 vocesJudge a robot by the environment it forces to change, not by the demoInvitado: Rodney Brooks · Presenta: Lex FridmanRodney Brooks tells Lex Fridman why faces are promises, why computation is an overworked metaphor, and why robot companies die on price, expectation, and habit.RoboticsAutonomous SystemsAI research+3
2:02:45EN
Lex Fridman· 26 dic 2020PódcastSteal the Code: You Get Zero Points for Making the Algorithm RunPresenta: Lex FridmanCharles Isbell and Michael Littman tell Lex Fridman why machine learning is not just statistics, why struggle has to stay hopeful, and what a $6,600 online master's actually sells.Fundamentos de MLAI in EducationAI research+3
2:01:07EN
Lex Fridman· 12 dic 2020Pódcast · 2 vocesMichael Littman isn’t waiting for a runaway god. He’s watching us.Invitado: Michael Littman · Presenta: 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.Modelos y entrenamientoReinforcement LearningAGI+3
1:56:31EN
Lex Fridman· 12 oct 2020Pódcast · 2 vocesA Blank Wall Is Not More Conscious Than a PersonInvitado: Scott Aaronson · Presenta: Lex FridmanScott Aaronson walks Lex Fridman through integrated information theory, Penrose’s uncomputable mind, GPT-3, P versus NP, and why silent support for open discourse has to get louder.Consciousness & IntelligencePhilosophy of MindQuantum Mechanics+3
3:00:18EN
Lex Fridman· 13 jun 2020Pódcast · 2 vocesOnly a Simulation Can Be ConsciousInvitado: Joscha Bach · Presenta: Lex FridmanJoscha Bach tells Lex Fridman why a neuron cannot feel anything, why existence is the default, and why this dying world is still the best level of the game.Modelos y entrenamientoConsciousness & IntelligencePhilosophy of Mind+3
1:48:01EN
Lex Fridman· 3 abr 2020Pódcast · 2 vocesDavid Silver: AlphaGo Won by Taking Human Knowledge OutInvitado: David Silver · Presenta: Lex FridmanThe DeepMind researcher behind AlphaGo and AlphaZero tells Lex Fridman how an unclaimed million-dollar Go prize, a BBC Micro at age seven, and a honeymoon insight led to superhuman self-play.Modelos y entrenamientoReinforcement LearningDeep Learning+3
1:45:56EN
Lex Fridman· 30 dic 2019Pódcast · 2 vocesPoint eight is enough: Donald Knuth on algorithms, TeX, and a life in one chairInvitado: Donald Knuth · Presenta: Lex FridmanLex Fridman visits Donald Knuth at home for a conversation about the IBM 650, geek brains, literate programming, The Art of Computer Programming, TeX, P versus NP, and a happiness budget of 80 percent.Coding CulturePhilosophyProgramming Languages+2
1:52:40EN
Lex Fridman· 28 dic 2019Pódcast · 2 vocesWithout Analogies, There Can Be No ConceptsInvitado: Melanie Mitchell · Presenta: Lex FridmanMelanie Mitchell talks with Lex Fridman about why analogy sits at the core of thought, why scaled-up learning still fails at common sense, and why she thinks human-level AI is more than a century away.Deep Learning CritiqueAGI TimelinesAI History+3
14:55EN
Lex Fridman· 29 oct 2019Pódcast · 2 vocesKasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the QuestionsInvitado: Garry Kasparov · Presenta: Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.AI HistoryPhilosophyHuman-AI Collaboration+3
55:24EN
Lex Fridman· 27 oct 2019Pódcast · 2 vocesThe Machine Has a Steady Hand: Garry Kasparov on Deep Blue, AlphaZero, and PutinInvitado: Garry Kasparov · Presenta: Lex FridmanThe former world champion tells Lex Fridman why losing to IBM still hurt, why chess was never the peak of intellect, and why he lives in New York.Modelos y entrenamientoHuman-AI CollaborationAI History+3
1:00:06EN
Lex Fridman· 23 ago 2019Pódcast · 2 vocesPamela McCorduck: AI Began With the Ancient Wish to Forge the GodsInvitado: Pamela McCorduck · Presenta: Lex FridmanThe novelist who wrote the first popular history of artificial intelligence talks with Lex Fridman about Dartmouth, AI winters, and why existential panic looks like the male gaze.AI HistoryPhilosophyAI research+3
44:48EN
Lex Fridman· 22 jul 2019Pódcast · 2 vocesChris Urmson: The Path to Driverless Cars Splits Away From the One That Lets You NapInvitado: Chris Urmson · Presenta: Lex FridmanLex Fridman talks with Aurora CEO Chris Urmson about the DARPA races, why lidar is a tool rather than a crutch, and why Level 2 economics will not grow into true autonomy.AgentesAutonomous DrivingSeguridad y gobernanza+3
1:26:27EN
Lex Fridman· 15 jul 2019Pódcast · 2 vocesKai-Fu Lee: Originality Pride Is a Handcuff on What a Company Can BecomeInvitado: Kai-Fu Lee · Presenta: Lex FridmanIn a 2019 conversation with Lex Fridman, the investor and former Google China president explains why China's copycat years were a training ground, why data often beats clever algorithms, and what facing death did to his idea of work.Empresa y estrategiaAI StrategyAI startups & small teams+3
1:10:58EN
Lex Fridman· 3 jun 2019Pódcast · 2 vocesThe Hadoop Lesson That Made Google Give TensorFlow AwayInvitado: Rajat Monga · Presenta: 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.Código abierto y comunidadOpen-source ecosystemsCommunity building+3
46:25EN
Lex Fridman· 17 ene 2019PódcastDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke ThroughPresenta: Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.Modelos y entrenamientoDeep LearningAI research+3
1:25:16EN
Lex FridmanPódcastFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional NetworksPresenta: Lex FridmanA 2016 Deep Learning School talk covering how convnets work, how the ImageNet winners evolved, and how to apply them without being a hero.Modelos y entrenamientoDeep LearningComputer Vision+3
12:16EN
Lex FridmanPódcastRule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational ExperimentPresenta: 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
1:55:04EN
Lex FridmanPódcast · 2 vocesMining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to DoInvitado: Stephen Wolfram · Presenta: Lex FridmanIn a talk for MIT's AGI course, Stephen Wolfram connects Wolfram Alpha, simple programs, computational irreducibility and the problem of telling machines what humans want.AGIAI HistoryAI Alignment+1
1:03:25EN
Lex FridmanPódcastTheano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your MathPresenta: 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.Modelos y entrenamientoDeep LearningFundamentos de ML+3
1:08:06EN
Lex FridmanPódcast · 2 vocesDeep Learning in One Lecture: From Perceptrons to AutoML and the Limits of LearningInvitado: Deep Learning Basics · Presenta: 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.Modelos y entrenamientoDeep LearningFundamentos de ML+3
1:00:25EN
Lex FridmanPódcast · 2 vocesCan Machines Think? A Guided Tour of Turing's Test, Its Critics and Its SuccessorsInvitado: Turing Test · Presenta: Lex FridmanLex Fridman walks through Alan Turing's 1950 paper, the objections to it, and the benchmarks that have tried to replace or extend the imitation game.AI HistoryBenchmarksPhilosophy+3
40:25EN
Lex FridmanPódcastA Language That Knows the World: Stephen Wolfram on Computable KnowledgePresenta: Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.Programming LanguagesSoftware engineeringAI History
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