絞り込み結果
113 件並び順
53:47ENLex Fridman Meets the Narrator: A Playthrough of The Stanley Parable as Existential Crisisホスト Lex FridmanLex Fridman plays The Stanley Parable and riffs on free will, the simulation, reincarnation, mind control and mortality as the narrator rewrites his choices.
13:58ENDeep Reinforcement Learning, Explained by the Researcher Behind AlphaGoホスト 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.
57:55ENFrom Q-Tables to AlphaGo Zero: A Self-Driving Car Lecture on Deep Reinforcement Learningホスト Lex FridmanLex Fridman's MIT 6.S094 lecture walks from the AI pipeline and Q-learning to deep Q-networks, AlphaGo Zero and the DeepTraffic competition.
17:35ENHands Off the Wheel in San Diego: A Comma Two Demo Drive and a Tour of comma.ai's Hardware Shopホスト Lex FridmanAfter their podcast conversation, George Hotz takes Lex Fridman on an openpilot drive and then through the comma.ai offices, dashboards, assembly line and compute cluster.
1:13:22ENThe Second 90%: What It Really Takes to Put Deep Learning on a Driverless Carホスト Lex FridmanWaymo's Sacha Arnoud walks MIT students through Waymo's history, its perception stack, and the industrial-scale labeling, compute and testing behind it.
19:13ENThe Higgs Was the Missing Puzzle Piece. The Real Mystery Is Why It Exists at Allホスト Lex FridmanParticle physicist Harry Cliff explains why finding the Higgs confirmed the obvious, why its tuned value is so troubling, and why the search for a deeper theory is stuck.
40:25ENA Language That Knows the World: Stephen Wolfram on Computable Knowledgeホスト Lex FridmanIn this clip from the Lex Fridman Podcast, Stephen Wolfram explains what makes the Wolfram Language different from ordinary programming languages and how it grew into a computable knowledge base, from Wolfram Alpha to computational contracts.
57:15ENInside Torch and Autograd: How Deep Learning Libraries Compute Gradientsホスト Lex FridmanAlex Wiltschko of Twitter walks through Lua Torch, then explains automatic differentiation and what separates modern deep learning frameworks.
18:46ENA Brooding Stuffed Hedgehog and Lex Fridman's Case for Owning Lessホスト Lex FridmanIn an AMA, Lex Fridman uses his thrift-store hedgehog to talk about minimalism, anthropomorphism in robotics, and why shared experience binds people together.
22:08ENHeavy, Patient, Relentless: What a Day on the Mats With Khabib Nurmagomedov Feels Likeホスト Lex FridmanLex Fridman trains with Khabib Nurmagomedov and his team, then hears how Khabib thinks about pressure, endurance and never stopping.
22:03ENRunning the Drake Equation: Lex Fridman's Estimate of Alien Civilizations, From 0.7 in the Milky Way to Trillions in the Universeホスト Lex FridmanLex Fridman walks through each parameter of the Drake equation with optimistic, pessimistic and personal estimates, then argues the real lesson is how little we understand about intelligence and communication.
22:17ENWhat Is Real? Lee Smolin on Realism, Science and Storytellingホスト Lex FridmanThe theoretical physicist explains why he believes in a world independent of our perception, why he doubts there is a single scientific method, and where realism meets quantum mechanics.
37:18ENFrom Intelligent Copilots to Aurora: Sterling Anderson on Shared Control and Building a Self-Driving Companyホスト Lex FridmanA guest lecture in MIT's 6.S094 course tracing Anderson's path from shared human-machine control research, through Tesla Autopilot, to co-founding Aurora.
17:11ENDisagreement as an Art: How Lex Fridman Handles Negative Commentsホスト Lex FridmanIn an AMA answer, Lex Fridman explains how he separates respectful disagreement from mockery and how he turns the sting of criticism into a lesson.
1:20:58ENFrom Bag of Words to Attention: Quoc Le Teaches Sequence-to-Sequence Learning Through Email Repliesホスト Lex FridmanA Deep Learning School talk that builds sequence-to-sequence models step by step around one running example, automatic email reply, and then surveys memory and operation-augmented networks.
14:38ENPlay Badly, Have Fun: Lex Fridman and RZA Trade Trash Talk Over a Casual Chess Gameホスト 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.
1:30:18ENNight Markets and Chip Foundries: A Week in Taiwan with Jensen Huangホスト Lex FridmanLex Fridman follows NVIDIA's CEO through Computex, street food and long chats about Taiwan's tech history, export controls and how to choose business partners.
1:19:48ENBigger Models, Cleaner Splits and Human Baselines: Andrew Ng's Practical Recipe for Applied Deep Learningホスト Lex FridmanIn a 2016 Deep Learning School talk, Andrew Ng distills lessons from leading Baidu's AI team into a workflow for diagnosing models, handling data and building a career.
26:23ENTime Is Real, Space Is Emergent: Lee Smolin on Finishing Einstein's Revolutionホスト Lex FridmanTheoretical physicist Lee Smolin explains why quantum theory and general relativity remain unreconciled, and why he thinks causality is fundamental and locality is not.
1:02:06ENLearning TensorFlow Hands-On: From a Mystery Line to Handwritten Digitsホスト Lex FridmanGoogle Brain's Sherry Moore walks a Deep Learning School audience through how TensorFlow works and two core labs, linear regression and MNIST digit recognition.
20:36ENWhy Simple Theories Win: Marcus Hutter on Occam's Razor, Compression and Kolmogorov Complexityホスト Lex FridmanDeepMind researcher Marcus Hutter explains Solomonoff induction, why compression equals understanding, and how a simple universe can still look rich.
53:13ENHow Machines Learn to See: From Pixel Differences to Convolutions, ResNets and Scene Segmentationホスト Lex FridmanLex Fridman's MIT 6.S094 lecture walks from the basics of image classification through landmark network architectures to pixel-level segmentation, optical flow and the SegFuse competition.
34:33ENTeaching Cars to Watch the Driver: Deep Learning for Semi-Autonomous Vehiclesホスト Lex FridmanLex Fridman's MIT 6.S094 lecture on using driver-facing cameras and neural networks to understand body pose, gaze, emotion and cognitive load.
17:32ENOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memesホスト Lex FridmanLex Fridman and George Hotz rate printed programming memes, and the jokes turn into candid talk about testing, hiring, social media and the power of neural networks.
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