筛选结果
36 篇排序
6:17EN
Lex Fridman· 2024年11月1日播客GSP would rather street-fight Ngannou than Bas Rutten主持 Lex FridmanAfter their podcast, Georges St-Pierre walks Lex Fridman through a short clinic on surprise, dirty targets, knives, and why a UFC title is worthless against a blade.
4:56EN
Cognitive Revolution "How AI Changes Everything"· 2024年2月1日播客If the Mind Is a Tool, AI Looks Less Like a Threat主持 Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.
11:26EN → 简体中文Lex Fridman· 2020年4月11日播客 · 2 人对谈道金斯谈模因、互联网，以及错误的观念为什么也能传开嘉宾 Richard Dawkins · 主持 Lex Fridman“模因”一词的创造者向 Lex Fridman 解释：模因为什么不只是比喻，互联网为什么让观念的传播有了质的飞跃，以及观念为什么和孔雀尾巴一样，不必正确、也不必有用就能传开。
12:42ENLex Fridman· 2020年3月28日播客 · 2 人对谈The Experience Machine: What Our Refusal to Plug In Says About What We Value嘉宾 Nick Bostrom · 主持 Lex FridmanNick Bostrom unpacks Robert Nozick's experience machine, the status quo effect behind our answers, and whether a simulation convincing enough to feel real would have to contain real minds.
14:55ENLex Fridman· 2019年10月29日播客 · 2 人对谈Kasparov on Deep Blue, AlphaZero, and Why Machines Win Closed Systems but Humans Still Choose the Questions嘉宾 Garry Kasparov · 主持 Lex FridmanGarry Kasparov revisits the 1997 loss to Deep Blue, explains why machines beat humans in closed systems, and argues that the human role is to pick the right questions and not interfere with superior machine knowledge.
9:59ENLex Fridman播客Is Language or Vision Harder? Ilya Sutskever on the Unity of Machine Learning主持 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.
10:20ENLex Fridman播客 · 2 人对谈How C++ Is Standardized: Votes, Consensus and the Move to a Three-Year Release Cycle嘉宾 Bjarne Stroustrup · 主持 Lex FridmanBjarne Stroustrup explains how the ISO committee works, why C++0x slipped to C++11, and how shorter cycles made C++14, C++17 and C++20 arrive on time.
13:55ENLex Fridman播客Resistance Is the Ego's Voice: Steven Pressfield on Fear, the Self and the Next Idea主持 Lex FridmanSteven Pressfield explains where the force he calls Resistance comes from and why the real fight happens at the most mundane level.
11:51ENLex Fridman播客Building a Brain: Paola Arlotta on the Choreography of Human Brain Development主持 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.
11:11ENLex Fridman播客 · 2 人对谈Yann LeCun on Benchmarks, Interactive Environments, and Why Human Intelligence Is Not General嘉宾 Yann Lecun · 主持 Lex FridmanIn a 2019 clip, LeCun defends benchmarks as a test of AI claims, explains why interactive environments break the usual train-test protocol, and argues that "general intelligence" is a misnomer.
14:49ENLex Fridman播客Elon Musk Rates Memes and Ends Up Defending Nuclear Power, the British Museum and the Cheeseburger主持 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.
10:17ENLex Fridman播客Why Great Robots Fail as Businesses, and What iRobot Got Right主持 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.
14:41ENLex Fridman播客 · 2 人对谈Talking for 20 Minutes: How the Alexa Prize Turns Real Customers into a Testbed for Conversational AI嘉宾 Rohit Prasad · 主持 Lex FridmanRohit Prasad, head scientist of Amazon Alexa, explains the Alexa Prize grand challenge, how it is judged and why true conversation still needs reasoning.
11:41ENLex Fridman播客 · 2 人对谈Teaching Machines Humility: Stuart Russell on Escaping the King Midas Problem嘉宾 Stuart Russell · 主持 Lex FridmanIn a short clip from a 2018 conversation, Berkeley's Stuart Russell explains why fixed objectives make superintelligent AI dangerous and why uncertainty about our goals is the fix.
10:16ENLex Fridman播客 · 2 人对谈Reasoning Without Logic: Yann LeCun on Teaching Neural Networks to Think嘉宾 Yann Lecun · 主持 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 Fridman播客 · 2 人对谈Why Donald Knuth Thinks P = NP and Why It Might Not Matter嘉宾 Donald Knuth · 主持 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 Fridman播客Rule 30 and Richard Feynman: Stephen Wolfram on Intuition Versus Computational Experiment主持 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 Fridman播客 · 2 人对谈Principles, Not Black Boxes: Ray Dalio on When to Trust AI嘉宾 Ray Dalio · 主持 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 Fridman播客Distance, Jabs and Three Rules: Georges St-Pierre Teaches Lex Fridman Wrestling and Ground Defense主持 Lex FridmanA training session in which the former champion explains how takedowns and ground fighting differ between MMA and jiu-jitsu.
12:01ENLex Fridman播客 · 2 人对谈The Big Nap: Why Eric Weinstein Thinks the Pandemic Ends 75 Quiet Years嘉宾 The Big Nap · 主持 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 Fridman播客 · 2 人对谈Concepts: How C++ Finally Got Compile-Time Constraints on Templates嘉宾 Bjarne Stroustrup · 主持 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 Fridman播客 · 2 人对谈Filling the Empty Quadrants: Jim Gates on Supersymmetry and the Beauty of Broken Symmetry嘉宾 Jim Gates · 主持 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 Fridman播客Deep Reinforcement Learning, Explained by the Researcher Behind AlphaGo主持 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 Fridman播客 · 2 人对谈Roger Penrose on a Universe That Restarts: When the Far Future Becomes the Next Big Bang嘉宾 Roger Penrose · 主持 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.加载更多已显示 24 篇，共 36 篇