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113 件並び順
26:02ENMoore’s Law Is Not Dead—It Is a Cascade of S-Curvesホスト Lex FridmanJim Keller explains why transistor scaling keeps outrunning its obituary, and how exponential hardware changes the mathematics AI can attempt.
1:13:51ENAnswering Questions Without Seeing the Data: Andrew Trask on the Privacy-Preserving AI Stackホスト Lex FridmanA tour of remote execution, differential privacy, secure multiparty computation, and the societal consequences of making private data usable.
46:25ENDeep Learning at the Edge of 2019: BERT, Autopilot, and the Ideas That Broke Throughホスト Lex FridmanA tour of the architectural, applied, and automation breakthroughs that defined deep learning in 2018 and set up 2019.
1:00:38ENThe Race Car and the Rulebook: Chris Gerdes on Automated Vehicle Safetyホスト Lex FridmanA Stanford engineer and former DOT innovation chief explains how autonomous racing, voluntary safety guidance, and data sharing could shape safer self-driving cars.
1:29:03ENFrom Word Vectors to Memory Networks: The Building Blocks of Deep NLPホスト Lex FridmanRichard Socher explains how word embeddings, recurrent models, GRUs, pointer mixtures, and dynamic memory networks turn language tasks into trainable end-to-end systems.
1:00:51ENDeep Learning From the Ground Up: Hugo Larochelle's One-Hour Tour of Neural Network Foundationsホスト Lex FridmanA fast, equation-level walk through feed-forward networks, backpropagation, practical training tricks, dropout and batch normalization, from the 2016 Deep Learning School.
1:07:29ENDeep Reinforcement Learning from First Principles: Rewards, Q-Learning, Policy Gradients and AlphaZeroホスト Lex FridmanLex Fridman's MIT 6.S091 opening lecture walks from the basic RL framework through DQN, actor-critic methods and AlphaZero to the unsolved problem of moving from simulation to the real world.
9:59ENIs Language or Vision Harder? Ilya Sutskever on the Unity of Machine Learningホスト Lex FridmanIn a short clip from his 2020 conversation with Lex Fridman, Ilya Sutskever explains why vision, language and reinforcement learning share the same few principles, and why asking which problem is harder is the wrong question.
19:24ENLex Fridman's 30-Day Challenge: 20,000 Push-ups and Pull-ups, With Advice From David Gogginsホスト Lex FridmanLex Fridman explains how a tweet became a month-long physical and mental test, and what David Goggins told him about suffering, injuries and habit.
21:41ENFrom Simulated Majorities to "You Are Probably Simulated": Bostrom on the Missing Step in the Simulation Argumentホスト Lex FridmanNick Bostrom explains to Lex Fridman why the simulation argument rests on a much weaker assumption than the Doomsday argument, and where its physical limits might lie.
13:55ENResistance Is the Ego's Voice: Steven Pressfield on Fear, the Self and the Next Ideaホスト Lex FridmanSteven Pressfield explains where the force he calls Resistance comes from and why the real fight happens at the most mundane level.
54:58ENEric Weinstein on Geometric Unity: One Canvas, Fourteen Dimensions and a Theory of Everythingホスト Lex FridmanEric Weinstein talks with Lex Fridman about releasing his Oxford lecture, why academia resists his ideas, and how Geometric Unity tries to derive matter from the geometry of spacetime.
1:25:16ENFrom Hand-Built Features to ResNets: Andrej Karpathy's Crash Course in Convolutional Networksホスト Lex FridmanA 2016 Deep Learning School talk covering how convnets work, how the ImageNet winners evolved, and how to apply them without being a hero.
25:06ENLiving Inside the Brain's Story: Joscha Bach on Simulation, Self and Consciousnessホスト Lex FridmanIn a clip from his conversation with Lex Fridman, Joscha Bach argues that consciousness, identity and even God are software-like patterns, and that we exist inside a narrative our brain generates.
11:51ENBuilding a Brain: Paola Arlotta on the Choreography of Human Brain Developmentホスト Lex FridmanA Harvard stem cell biologist walks through how the embryo builds the cerebral cortex, why order and environment matter, and why development continues into our twenties.
1:24:43ENFrom Sparse Coding to GANs: A Tour of Unsupervised Deep Learning in 2016ホスト Lex FridmanRuslan Salakhutdinov walks through autoencoders, Boltzmann machines, variational autoencoders and adversarial networks at the Deep Learning School, with candid notes on what did and did not work.
58:46ENCaging the Neural Network: How Aptiv Thinks About Safe Self-Drivingホスト Lex FridmanAptiv Autonomous Mobility's Karl Iagnemma and Oscar Beijbom explain why end-to-end learning is hard to trust in cars, and show how PointPillars and nuScenes push lidar perception forward.
14:49ENElon Musk Rates Memes and Ends Up Defending Nuclear Power, the British Museum and the Cheeseburgerホスト Lex FridmanIn a lighthearted excerpt from his conversation with Lex Fridman, Elon Musk scores a stack of printed memes on a one-to-eleven scale and gives serious answers whenever a joke touches a real topic.
1:15:59ENSteering Through Time: How Recurrent Networks and LSTMs Learn from Sequencesホスト Lex FridmanLex Fridman's MIT 6.S094 lecture walks from backpropagation basics to LSTMs and the way they are used to predict steering in self-driving cars.
23:37ENPave Your Own Path: Lex Fridman on Impostor Syndrome, Envy and Gratitudeホスト Lex FridmanIn an Ask Me Anything episode, Lex Fridman answers listeners' questions about self-doubt by arguing against comparison, for finding your own passion, and for pairing self-criticism with gratitude.
29:54ENSeven Levels of a Pandemic: Pain, Challenge and Hope From Biology to Philosophyホスト Lex FridmanLex Fridman maps the coronavirus onto seven levels of attack on society and proposes a response and a reason for hope at each one.
10:17ENWhy Great Robots Fail as Businesses, and What iRobot Got Rightホスト Lex FridmaniRobot co-founder Colin Angle explains why so many robotics companies collapse and how cost, vision and a clear user need shaped the Roomba.
18:46ENDeep Learning Plus One Idea: Ilya Sutskever on Building AGIホスト Lex FridmanIn a May 2020 conversation, Sutskever discusses self-play, simulation, bodies and consciousness, tests of intelligence, and how an AGI might be governed and aligned.
22:59ENPenrose on Why Consciousness Can't Be a Computationホスト Lex FridmanRoger Penrose explains how a dissatisfaction with AI optimism, a tip about microtubules and a rethink of quantum mechanics led him to Orch OR.
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