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4,484개정렬
17:19ENMoney Is a Game of Points: Vitalik Buterin on Coordination, Public Goods, and Quadratic Funding진행자 Lex FridmanVitalik Buterin explains money as a social point system, why value can survive without physical backing, and how quadratic funding tries to fix public-good underfunding.
1:35:04ENSatoshi Vanished. Vitalik Stayed Behind to Finish the Other Half.게스트 Vitalik Buterin · 진행자 Lex FridmanVitalik Buterin tells Lex Fridman what money actually is, what Satoshi invented, and why Ethereum is trying to become more than a points game.
12:34ENBinomial Distributions and the Problem of Seller RatingsHow review counts, independent trials and uncertainty about an unknown success rate fit together.
1:09:52ENLee Smolin Does Not Believe in the Scientific Method게스트 Lee Smolin · 진행자 Lex FridmanThe theoretical physicist talks with Lex Fridman about realism, the measurement problem, and why finishing Einstein’s revolution means treating time as fundamental and locality as optional.
4:51ENAlex Garland on Technology and Space Exploration게스트 Alex Garland · 진행자 Lex FridmanThe filmmaker discusses real-world inspiration for fiction.
1:09:12ENAnn Druyan on Voyager, Carl Sagan, and Love Without Illusion게스트 Ann Druyan · 진행자 Lex FridmanThe creative director of the Voyager Golden Record argues that science is an error-correcting way of seeing the universe — and of seeing another person.
1:11:09ENAva smiled when nobody was watching게스트 Alex Garland · 진행자 Lex FridmanAlex Garland talks with Lex Fridman about Ex Machina, Annihilation, Devs, and how you tell whether anything is really in there.
1:12:48ENJohn Hopfield's Physics of Mind: Glitches Become Features게스트 John Hopfield · 진행자 Lex FridmanThe Princeton physicist walks Lex Fridman from a wobbly London bridge to Hopfield networks, consciousness-as-story, and why his famous model still does not explain learning.
1:39:56ENWhy Marcus Hutter Treats Compression as Intelligence Itself게스트 Marcus Hutter · 진행자 Lex FridmanThe DeepMind researcher behind AIXI tells Lex Fridman why a Wikipedia compression contest, Solomonoff induction, and an incomputable formula belong in the same conversation.
1:45:49ENPrediction is not a decision: Michael I. Jordan on markets and the unfinished AI revolution게스트 Michael I. Jordan · 진행자 Lex FridmanThe Berkeley statistician tells Lex Fridman that today's systems are a proto-engineering field, and that the hard work is connecting producers and consumers — not imitating minds.
16:03ENQuantum Supremacy Is a Well-Defined Speedup, Not a Useful Task게스트 Scott Aaronson · 진행자 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.
1:29:10ENAndrew Ng: The Hardest Part of AI Is Rarely the Algorithm게스트 Andrew Ng · 진행자 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.
58:03ENMatt 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.
1:33:42ENAsk One Question of Every Quantum Headline: Is It Faster Than Classical?게스트 Scott Aaronson · 진행자 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.
1:44:55ENIf You Need 60,000 Digits, You Have Not Found Intelligence게스트 Vladimir Vapnik · 진행자 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.
7:45ENJim Keller on Recipes, Understanding and Redesign게스트 Jim Keller · 진행자 Lex FridmanWhy an efficient procedure can become a constraint, and when computer architects may need to rethink the problem.
26:02ENMoore’s Law Is Not Dead—It Is a Cascade of S-Curves진행자 Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:34:44ENMoore's Law Has Been About to Die for Forty Years게스트 Jim Keller · 진행자 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.
1:23:49ENSteve 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.
1:38:49ENEven a simulation would still be real게스트 David Chalmers · 진행자 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.
1:30:52ENCristos Goodrow: There Is No YouTube Algorithm, Only People Moving Through Video게스트 Cristos Goodrow · 진행자 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.
1:03:12ENPaul Krugman: America's Cruelty Is a Choice, Not a Law of Technology게스트 Paul Krugman · 진행자 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.
1:13:51ENAnswering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI Stack진행자 Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.
1:39:57ENPeople Say They Want Perfect Robots. They Trust the Ones That Push Back게스트 Ayanna Howard · 진행자 Lex FridmanAyanna Howard on human-robot interaction, the ethics of safety-critical code, and why a little imperfection is what actually earns trust.
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