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10:16EN
Lex FridmanPódcast · 2 vocesReasoning Without Logic: Yann LeCun on Teaching Neural Networks to ThinkInvitado: Yann Lecun · Presenta: Lex FridmanYann LeCun explains why he believes neural networks can reason, and what memory, recurrence and continuous representations would need to look like.
11:19ENLex FridmanPódcast · 2 vocesWhy Donald Knuth Thinks P = NP and Why It Might Not MatterInvitado: Donald Knuth · Presenta: Lex FridmanKnuth explains how an algorithm can provably exist without anyone being able to write it down, and why that shapes his view of P versus NP.
12:16ENLex 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.
12:53ENLex FridmanPódcast · 2 vocesPrinciples, Not Black Boxes: Ray Dalio on When to Trust AIInvitado: Ray Dalio · Presenta: Lex FridmanRay Dalio explains how Bridgewater turns human thinking into algorithms, why machine learning is risky when the future differs from the past, and why writing down principles is the route to better decisions.
13:30ENLex FridmanPódcastDistance, Jabs and Three Rules: Georges St-Pierre Teaches Lex Fridman Wrestling and Ground DefensePresenta: Lex FridmanA training session in which the former champion explains how takedowns and ground fighting differ between MMA and jiu-jitsu.
12:01ENLex FridmanPódcast · 2 vocesThe Big Nap: Why Eric Weinstein Thinks the Pandemic Ends 75 Quiet YearsInvitado: The Big Nap · Presenta: Lex FridmanIn an April 2020 conversation, Eric Weinstein and Lex Fridman discuss what a global crisis reveals about collective action, fragility, and the institutions we treat as museum pieces.
10:24ENLex FridmanPódcast · 2 vocesConcepts: How C++ Finally Got Compile-Time Constraints on TemplatesInvitado: Bjarne Stroustrup · Presenta: Lex FridmanBjarne Stroustrup explains what C++ concepts are, why they are real and shippable today, and why it took decades to get them right.
11:11ENLex FridmanPódcast · 2 vocesFilling the Empty Quadrants: Jim Gates on Supersymmetry and the Beauty of Broken SymmetryInvitado: Jim Gates · Presenta: 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.
13:58ENLex FridmanPódcastDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGoPresenta: 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.
12:52ENLex FridmanPódcast · 2 vocesRoger Penrose on a Universe That Restarts: When the Far Future Becomes the Next Big BangInvitado: Roger Penrose · Presenta: 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.
14:47ENLex FridmanPódcast · 2 vocesBuild Your Own Types: What Bjarne Stroustrup Learned from Simula, Fortran and LispInvitado: Bjarne Stroustrup · Presenta: Lex FridmanThe creator of C++ traces how Simula's user-defined types shaped his language, and why he builds for constrained, long-lived systems.
14:38ENLex FridmanPódcastPlay Badly, Have Fun: Lex Fridman and RZA Trade Trash Talk Over a Casual Chess GamePresenta: 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.
10:34ENLex FridmanPódcast · 2 vocesWhy Deep Learning Needs Rules: Chollet on Interpolation, Abstraction and Hybrid AIInvitado: François Chollet · Presenta: 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.
10:39ENLex FridmanPódcastStatistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between ThemPresenta: 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.
11:29ENLex FridmanPódcastWhy Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has SeenPresenta: Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.
11:26ENLex FridmanPódcastThe Cookie Your Brain Bakes: Joscha Bach on Happiness, Cells and the Meaning of GodPresenta: 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.
13:33ENLex FridmanPódcastRating Jiu-Jitsu Memes With Ryan Hall: Talent, Terminology and Getting HumbledPresenta: 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.
10:17ENLex FridmanPódcastNeither Saints Nor Sinners: Ben Goertzel on the Selfish and Altruistic Human MixPresenta: Lex FridmanAI researcher Ben Goertzel explains why humans are a blend of selfishness and altruism, and how much culture can shift that balance.
11:59ENLex FridmanPódcast · 2 vocesFrom a Side Project to TensorFlow's Core: François Chollet on How Keras Came to BeInvitado: François Chollet · Presenta: 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.
12:04ENLex FridmanPódcastZuckerberg and Fridman Roll: Why Two Busy Leaders Are Training Jiu-JitsuPresenta: Lex FridmanLex Fridman shares footage of a training session with Mark Zuckerberg and explains why martial arts matter for people who run big companies.
11:34ENLex FridmanPódcastNeither Discovered Nor Invented: Grant Sanderson on the Cycle Between Math and the WorldPresenta: 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.
11:23ENLex FridmanPódcast · 2 vocesScience Is a Self-Improving System That Isn't Exploding: Chollet on the Limits of an Intelligence ExplosionInvitado: François Chollet · Presenta: Lex FridmanFrançois Chollet uses the history of science to argue that recursive self-improvement meets exponential friction and yields linear, not explosive, progress.