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Lex Fridman· 22 feb 2020Pódcast · 2 vocesQuantum Supremacy Is a Well-Defined Speedup, Not a Useful TaskInvitado: Scott Aaronson · Presenta: Lex FridmanScott Aaronson explains what Google's 53-qubit experiment actually demonstrated, how it was verified, and why complexity theory can offer evidence but not proof against classical spoofing.
1:29:10ENLex Fridman· 20 feb 2020Pódcast · 2 vocesAndrew Ng: The Hardest Part of AI Is Rarely the AlgorithmInvitado: Andrew Ng · Presenta: Lex FridmanIn a conversation with Lex Fridman, Ng traces a path from late-night Coursera recordings to factory floors, arguing that messy data, habits, and starting small matter more than hype.
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Jane Street· 18 feb 2020Matt Might on an Algorithm for Precision MedicineMatt Might · University of Alabama at BirminghamA computer scientist describes how genetic data, experimental models and logic programming can help clinicians investigate difficult cases.
1:33:42ENLex Fridman· 17 feb 2020Pódcast · 2 vocesAsk One Question of Every Quantum Headline: Is It Faster Than Classical?Invitado: Scott Aaronson · Presenta: Lex FridmanScott Aaronson walks Lex Fridman from Turing's method of replacing unanswerable riddles with workable ones to Google's quantum supremacy experiment, and explains why useful chemistry simulation is closer than breaking RSA.
1:44:55ENLex Fridman· 14 feb 2020Pódcast · 2 vocesIf You Need 60,000 Digits, You Have Not Found IntelligenceInvitado: Vladimir Vapnik · Presenta: Lex FridmanVladimir Vapnik tells Lex Fridman that intelligence is the art of shrinking a sea of functions with a few good predicates — and that MNIST, solved with sixty examples per class, is the test.
7:45ENLex Fridman· 10 feb 2020Pódcast · 2 vocesJim Keller on Recipes, Understanding and RedesignInvitado: Jim Keller · Presenta: Lex FridmanWhy an efficient procedure can become a constraint, and when computer architects may need to rethink the problem.
26:02ENLex Fridman· 9 feb 2020PódcastMoore’s Law Is Not Dead—It Is a Cascade of S-CurvesPresenta: Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:34:44ENLex Fridman· 5 feb 2020Pódcast · 2 vocesMoore's Law Has Been About to Die for Forty YearsInvitado: Jim Keller · Presenta: Lex FridmanChip architect Jim Keller tells Lex Fridman why a cascade of diminishing-return curves still looks exponential, why you rewrite the CPU every five years, and why driving a car is not a super-hard problem.
1:23:49ENJane Street· 31 ene 2020Steve Lee on PowerShell 7: Compatibility, New Features and the RoadmapSteve Lee · MicrosoftA historical look at the move from Windows PowerShell to cross-platform PowerShell, including demonstrations of the version 7 preview and its compatibility trade-offs.
1:38:49ENLex Fridman· 29 ene 2020Pódcast · 2 vocesEven a simulation would still be realInvitado: David Chalmers · Presenta: Lex FridmanDavid Chalmers tells Lex Fridman why a simulated world would still count as reality, and why the hard problem of consciousness still will not go away.
1:30:52ENLex Fridman· 25 ene 2020Pódcast · 2 vocesCristos Goodrow: There Is No YouTube Algorithm, Only People Moving Through VideoInvitado: Cristos Goodrow · Presenta: Lex FridmanYouTube’s head of search and discovery tells Lex Fridman why collaborative filtering learned language on its own, why watch time is not satisfaction, and why nobody can predict a viral hit.
1:03:12ENLex Fridman· 21 ene 2020Pódcast · 2 vocesPaul Krugman: America's Cruelty Is a Choice, Not a Law of TechnologyInvitado: Paul Krugman · Presenta: Lex FridmanThe Nobel economist tells Lex Fridman why productivity data undercut the robot-job panic, why markets fail in health care, and why universal programs beat a premature basic income.
1:13:51ENLex Fridman· 19 ene 2020PódcastAnswering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI StackPresenta: Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.
1:39:57ENLex Fridman· 17 ene 2020Pódcast · 2 vocesPeople Say They Want Perfect Robots. They Trust the Ones That Push BackInvitado: Ayanna Howard · Presenta: Lex FridmanAyanna Howard on human-robot interaction, the ethics of safety-critical code, and why a little imperfection is what actually earns trust.
1:18:41ENLex Fridman· 14 ene 2020Pódcast · 2 vocesThe SS Soldier Who Hugged a Jewish Boy, and the Systems That Still Fool UsInvitado: Daniel Kahneman · Presenta: Lex FridmanDaniel Kahneman on System 1, deep learning that does not know what it is saying, and why a machine that must call a human is almost as hard as a machine that never needs one.
1:02:45ENLex Fridman· 7 ene 2020Pódcast · 2 vocesAliens Would Count. They Probably Wouldn't Write e^x.Invitado: Grant Sanderson · Presenta: Lex FridmanGrant Sanderson of 3Blue1Brown talks with Lex Fridman about notation, infinity, and why a visualization has to pick a single arrow.
20:44ENLex Fridman· 5 ene 2020Pódcast · 2 vocesThe Staff Job That Became a Dictatorship: Stalin's Improbable Road to PowerInvitado: Stephen Kotkin · Presenta: Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.
1:37:22ENLex Fridman· 3 ene 2020Pódcast · 2 vocesLenin Wanted an Assistant. Stalin Built a DictatorshipInvitado: Stephen Kotkin · Presenta: Lex FridmanPrinceton historian Stephen Kotkin talks with Lex Fridman about Stalin’s rise, Putin’s popularity, and why checks on power are a feature, not a bug.
1:45:56ENLex 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.
1:52:40ENLex 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.
1:35:00ENLex Fridman· 25 dic 2019Pódcast · 2 vocesNASA Once Spent 5 Percent of the Economy to Go 250,000 Miles. Mars Is a Hundred Times Farther.Invitado: Jim Gates · Presenta: Lex FridmanTheorist S. James Gates Jr. talks with Lex Fridman about Mars budgets, supersymmetry, error-correcting codes hiding in equations, and why string theory is not yet a theory.
2:22ENLex Fridman· 24 dic 2019PódcastLex Fridman Reads Charles Bukowski’s “Nirvana”A reading of a poem about a fleeting moment during a bus journey.
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3Blue1Brown· 22 dic 2019Bayes’ Theorem and the Geometry of Updating BeliefsUse counts and areas to understand how evidence changes probability.
1:18:35ENLex Fridman· 21 dic 2019Pódcast · 2 vocesThe last job Sebastian Thrun wants is one he is already good atInvitado: Sebastian Thrun · Presenta: Lex FridmanLex Fridman talks with the roboticist behind Stanley, Google’s self-driving car, Udacity, and Kitty Hawk about learning, safety, and why traffic is a choice.Cargar másMostrando 24 de 4484