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1:20:21ENEinstein Was the Worst of Five Ph.D. StudentsGuest Tomaso Poggio · Host Lex FridmanMIT neuroscientist Tomaso Poggio on why intelligence is science's deepest problem, and what brains still have to teach machines.
46:25ENDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke ThroughHost Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
5:12ENThe Collision Puzzle That Reveals Digits of πAn idealized pair of sliding blocks produces a surprising counting pattern.
21:42ENDavid Oyelowo on Queen of Katwe and Who Gets to Tell StoriesGuest David Oyelowo · Host Ben HorowitzA 2016 conversation about the film, representation and opportunities in Hollywood.
26:16ENInnovation, AI and Google I/O: A 2016 DiscussionGuest Benedict Evans, Connie Chan, Steven Sinofsky · Host Kyle RussellA historical discussion of Google Assistant, Instant Apps and Daydream as products and platforms.
35:37ENCoding Literacy and Opening Paths Into TechnologyGuest Susan Mernit, Laura Weidman Powers, Reshma Saujani · Host Chrissie BrodiganA 2014 discussion on coding education, confidence, mentorship and barriers to tech careers.
24:58ENInvesting in Underserved CommunitiesGuest Kesha Cash · Host Tawny HolguinKesha Cash and Tawny Holguin discuss impact, returns and the Mayvenn business model.
1:06:17ENLibratus Beat the World's Best Poker Players Without a Neural NetworkGuest Tuomas Sandholm · Host Lex FridmanTuomas Sandholm tells Lex Fridman how game theory, abstraction, and search — not deep learning — took heads-up no-limit Texas Hold'em, and why the harder work is deploying that toolkit outside the casino.
1:19:59ENSchmidhuber’s bet: true meta-learning rewrites the learner, not the last layerGuest Juergen Schmidhuber · Host Lex FridmanJürgen Schmidhuber tells Lex Fridman how Gödel machines, compression-as-science, Power Play, LSTMs, and world models all descend from a teenage plan to multiply one person’s curiosity into a better physicist than he could ever be.
42:45ENA one-legged robot learned a backflip from "this is better"Guest Pieter Abbeel · Host Lex FridmanPieter Abbeel tells Lex Fridman why preference comparisons, self-play, ten-minute demos, and messy ensembles of simulators are the practical path through deep reinforcement learning.
1:26:21ENThe Machine Should Never Treat Its Objective as GospelGuest Stuart Russell · Host Lex FridmanStuart Russell talks with Lex Fridman about metareasoning, self-driving reliability, and why uncertainty about human goals is the core of the control problem.
1:03:45ENJane Street and the OCaml CompilerYaron Minsky · Jane StreetRon Minsky traces an accidental language adoption into a long-term commitment to compiler engineering and a shared open-source ecosystem.
33:07ENThey Ran an Extension Cord Next Door and Invented GoogleGuest Eric Schmidt · Host Lex FridmanEric Schmidt tells Lex Fridman that Larry and Sergey never held the entrepreneurship meeting: they had a better algorithm, too little power in the dorm, and a $100,000 check.
15:50ENWhy a Sphere’s Surface Area Is Four Times Its ShadowGrant Sanderson · 3Blue1BrownTwo geometric routes from a sphere to circles, and a generalization to convex shapes.
1:20:09ENStack Overflow Was Never Designed for BeginnersGuest Jeff Atwood · Host Lex FridmanOn Stack Overflow’s tenth birthday, Jeff Atwood talks with Lex Fridman about puzzles, leadership, Discourse, and why a software team’s health is how fast it can change one word.
1:37:30ENVolodymyr Mnih: A Tour of Deep Reinforcement Learning AgentsVolodymyr Mnih · DeepMindFrom DQN and replay to A3C and IMPALA, a 2018 lecture traces the design choices behind deep RL agents.
1:26:44ENHe raised Python like a child, then set it freeGuest Guido van Rossum · Host Lex FridmanIn a 2018 conversation with Lex Fridman, Guido van Rossum traces Python from electronics kits and Conway's Game of Life to the Thursday morning he resigned as benevolent dictator for life.
54:03ENThe Hardest Part of Learning Was Left Out of the TextbooksGuest Vladimir Vapnik · Host Lex FridmanVladimir Vapnik tells Lex Fridman why intelligence is the work of inventing predicates that shrink the admissible set of functions, not of fitting a rule to a mountain of data.
1:06:51ENMarius Eriksen: Reflow for Incremental Cloud Data ProcessingMarius Eriksen · GRAILA functional language and runtime turn data workflows into typed programs, reuse prior results and provision cloud resources on demand.
42:18ENAn Adult Can Change Last Year's Mind. A Network Still Cannot.Guest Yoshua Bengio · Host Lex FridmanYoshua Bengio tells Lex Fridman that the missing pieces of deep learning sit in credit assignment, training objectives, and a kind of compositionality borrowed from classical AI — not in ten thousand layers.
37:53ENSteven Pinker: Intelligence Is Not a Will to PowerGuest Steven Pinker · Host Lex FridmanThe Harvard psychologist tells Lex Fridman why nuke analogies, paperclip stories, and AI-takeover fears mix up problem-solving with domination.
57:54ENA 2040 Siri That Passes Every Turing Test Still Wouldn't Be ConsciousGuest Christof Koch · Host Lex FridmanNeuroscientist Christof Koch tells Lex Fridman why intelligence is function, consciousness is being, and a perfect brain simulation has no more inner life than a laptop simulating a black hole.
1:22:58ENIf NASA finds nothing on Mars, Max Tegmark cheersGuest Max Tegmark · Host Lex FridmanThe MIT physicist behind Life 3.0 tells Lex Fridman why we may be the only advanced life in the observable universe, and why that makes AGI alignment a cosmic responsibility rather than a science-fiction subplot.
1:14:23ENCristina Rosu: Building Dynamic OCaml Web Apps with Incr_domCristina Rosu · Jane StreetA practical introduction to the Elm architecture, virtual DOM and incremental computation, followed by a live counter-app demonstration.
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