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10:24EN
Lex Fridman팟캐스트 · 2명Concepts: How C++ Finally Got Compile-Time Constraints on Templates게스트 Bjarne Stroustrup · 진행자 Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.Programming LanguagesSoftware engineeringCoding Culture
11:11EN
Lex Fridman팟캐스트 · 2명Filling the Empty Quadrants: Jim Gates on Supersymmetry and the Beauty of Broken Symmetry게스트 Jim Gates · 진행자 Lex FridmanTheoretical physicist Jim Gates explains supersymmetry with a four-slice pie, recalls how he chose it for his thesis in the 1970s, and connects it to the way physics moves from mathematics to experiment.PhysicsMathematicsScience Communication
13:58EN
Lex Fridman팟캐스트Deep Reinforcement Learning, Explained by the Researcher Behind AlphaGo진행자 Lex FridmanDavid Silver of DeepMind walks through what reinforcement learning is, how its building blocks fit together, and why deep neural networks keep surprising even the experts.모델과 학습Reinforcement Learning머신러닝 기초+3
12:52EN
Lex Fridman팟캐스트 · 2명Roger Penrose on a Universe That Restarts: When the Far Future Becomes the Next Big Bang게스트 Roger Penrose · 진행자 Lex FridmanPenrose explains conformal cyclic cosmology, in which the remote future of one cosmic eon is mathematically the same as the Big Bang of the next.CosmologyPhilosophy of ScienceBlack Holes+1
14:47EN
Lex Fridman팟캐스트 · 2명Build Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and Lisp게스트 Bjarne Stroustrup · 진행자 Lex FridmanThe creator of C++ traces how Simula's user-defined types shaped his language, and why he builds for constrained, long-lived systems.Programming LanguagesSoftware engineeringCoding Culture
14:38EN
Lex Fridman팟캐스트Play Badly, Have Fun: Lex Fridman and RZA Trade Trash Talk Over a Casual Chess Game진행자 Lex FridmanAn impromptu post-podcast chess match between Lex Fridman and RZA, framed by Lex's case for playing chess for the joy of it.Decision Making
10:34EN
Lex Fridman팟캐스트 · 2명Why Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AI게스트 François Chollet · 진행자 Lex FridmanFrançois Chollet explains why neural networks only interpolate between points they have seen, and why the best AI systems pair them with symbolic rules.모델과 학습머신러닝 기초Deep Learning+2
10:39EN
Lex Fridman팟캐스트Statistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between Them진행자 Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.모델과 학습머신러닝 기초Decision Making+2
11:29EN
Lex Fridman팟캐스트Why Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen진행자 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.모델과 학습Autonomous DrivingRobotics+3
11:26EN
Lex Fridman팟캐스트The Cookie Your Brain Bakes: Joscha Bach on Happiness, Cells and the Meaning of God진행자 Lex FridmanIn a short clip, Joscha Bach moves from why happiness is not the point to the cell as a cosmic probe and a naturalistic reading of God as civilization.PhilosophyConsciousness & IntelligencePhilosophy of Mind+3
13:33EN
Lex Fridman팟캐스트Rating Jiu-Jitsu Memes With Ryan Hall: Talent, Terminology and Getting Humbled진행자 Lex FridmanAfter their main podcast conversation, Lex Fridman has Ryan Hall score a printed stack of Reddit jiu-jitsu memes on a scale of 1 to 12.Martial ArtsCombat Sports
10:17EN
Lex Fridman팟캐스트Neither Saints Nor Sinners: Ben Goertzel on the Selfish and Altruistic Human Mix진행자 Lex FridmanAI researcher Ben Goertzel explains why humans are a blend of selfishness and altruism, and how much culture can shift that balance.PhilosophyEvolutionAGI(범용 인공지능)
11:59EN
Lex Fridman팟캐스트 · 2명From a Side Project to TensorFlow's Core: François Chollet on How Keras Came to Be게스트 François Chollet · 진행자 Lex FridmanThe creator of Keras recalls why he built it in 2015 around recurrent networks, how it moved onto TensorFlow, and what TensorFlow 2.0 means for its design.오픈소스와 커뮤니티Deep LearningOpen-source ecosystems+3
12:04EN
Lex Fridman팟캐스트Zuckerberg and Fridman Roll: Why Two Busy Leaders Are Training Jiu-Jitsu진행자 Lex FridmanLex Fridman shares footage of a training session with Mark Zuckerberg and explains why martial arts matter for people who run big companies.Martial ArtsCombat SportsLeadership+2
11:34EN
Lex Fridman팟캐스트Neither Discovered Nor Invented: Grant Sanderson on the Cycle Between Math and the World진행자 Lex Fridman3Blue1Brown's Grant Sanderson tells Lex Fridman that mathematics feeds on a loop of discovery and invention, and wonders why the universe's laws are so compressible.Philosophy of ScienceScience CommunicationFirst Principles+3
11:23EN
Lex Fridman팟캐스트 · 2명Science Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence Explosion게스트 François Chollet · 진행자 Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.모델과 학습AGI(범용 인공지능)AI research+3