筛选结果
80 篇排序
29:38EN → 简体中文
20VC with Harry Stebbings· 2023年9月25日播客 · 2 人对谈Marc Benioff 谈 Salesforce、旧金山与个人优先事项嘉宾 Marc Benioff · 主持 Harry StebbingsSalesforce 联合创始人讨论 AI 抱负、五问题规划框架、慈善与工作安排。
29:38EN → 简体中文
No Priors: AI, Machine Learning, Tech, & Startups· 2023年9月21日播客 · 2 人对谈新手刚做成一门 25 万美元的生意，专业程序员只拿到 30%主持 Sarah Guo, Elad GilReplit 首席执行官 Amjad Masad 谈 Ghostwriter、为什么 30 亿参数的模型就够用，以及他希望智能体在你睡觉时替你赚取悬赏。
23:20EN → 简体中文20VC with Harry Stebbings· 2023年6月14日播客 · 2 人对谈Rishi Sunak 谈 2023 年英国 AI 政策、人才与教育嘉宾 Rishi Sunak · 主持 Harry Stebbings时任首相讨论 AI 工作组、技能与签证举措，以及他希望推进的政治重点。
28:48EN → 简体中文20VC with Harry Stebbings· 2022年10月25日播客 · 2 人对谈Rishi Sunak 谈 2021 年的人才、投资与政策权衡嘉宾 Rishi Sunak · 主持 Harry Stebbings在担任财政大臣时录制的访谈中，Sunak 讨论受创业启发的政策制定、移民提议、Future Fund 和政府行动的局限。
16:03EN
Lex Fridman· 2020年2月22日播客 · 2 人对谈Quantum Supremacy Is a Well-Defined Speedup, Not a Useful Task嘉宾 Scott Aaronson · 主持 Lex FridmanScott Aaronson explains what Google's 53-qubit experiment actually demonstrated, how it was verified, and why complexity theory can offer evidence but not proof against classical spoofing.
20:44ENLex Fridman· 2020年1月5日播客 · 2 人对谈The Staff Job That Became a Dictatorship: Stalin's Improbable Road to Power嘉宾 Stephen Kotkin · 主持 Lex FridmanStephen Kotkin traces how war, revolution, contingency, and a new administrative post let Stalin build a personal dictatorship inside the Bolshevik regime.
20:34ENLex Fridman· 2019年10月26日播客 · 2 人对谈Teaching Machines the Frameworks Humans Take for Granted嘉宾 David Ferrucci · 主持 Lex FridmanDavid Ferrucci explains why AI needs shared interpretive frameworks, not just data and pattern matching, to reason and communicate like humans.
23:58EN → 简体中文
Jane Street· 2016年3月31日有效使用 ML：错误、抽象与复杂度管理Yaron Minsky · Jane Street一位 Jane Street 工程师讨论显式处理失败、样板代码、类型系统的克制，以及副作用的实际作用。
24:22ENLex Fridman播客 · 2 人对谈Craftsmanship, First Principles and the Road to Self-Driving: Jim Keller on Working with Elon Musk嘉宾 Jim Keller · 主持 Lex FridmanThe veteran chip architect explains why he thinks autonomous driving is a tractable engineering problem, how Tesla's cost constraints shaped its hardware, and what he took from Musk's way of thinking.
21:43ENLex Fridman播客 · 2 人对谈Rented Cars, 27 Rejections and the Love Quotient: Arianna Huffington on Obsession and Recharging嘉宾 Arianna Huffington · 主持 Lex FridmanThe Thrive Global and Huffington Post founder talks to Lex Fridman about mortality, failure, work obsession, polarized media and balancing ambition with love.
15:01ENLex Fridman播客 · 2 人对谈Deep Learning Is a System 1 Machine: Daniel Kahneman on What AI Still Lacks嘉宾 Daniel Kahneman · 主持 Lex FridmanThe Nobel-winning psychologist tells Lex Fridman how his fast-and-slow thinking framework maps onto deep learning, and why driving among pedestrians may require understanding people.
20:07ENLex Fridman播客 · 2 人对谈The Hard Problem and the Case for a Conscious Universe: David Chalmers on Consciousness嘉宾 David Chalmers · 主持 Lex FridmanDavid Chalmers explains what consciousness is, why the hard problem resists physical explanation, and why he takes panpsychism seriously.
21:55ENLex Fridman播客 · 2 人对谈Quantum Computing Without the Hype: Amplitudes, Interference and the Long Road to Error Correction嘉宾 Scott Aaronson · 主持 Lex FridmanScott Aaronson explains what a quantum computer really is, why it is not just trying every answer at once, and why noise is the field's central obstacle.
18:45ENLex Fridman播客 · 2 人对谈Why Sean Carroll Thinks Many-Worlds Is the Cleanest Version of Quantum Mechanics嘉宾 Sean Carroll · 主持 Lex FridmanThe Caltech physicist explains how Everett's idea works, answers the energy-conservation objection, and compares it with its rivals.
23:57ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Chips, Agents and a Reckoning: Sarah Guo and Elad Gil on the 2023 AI Boom主持 Sarah Guo, Elad GilThe hosts answer listener questions on the GPU crunch, how soon enterprises will ship AI products, how to build agents, and what 2024 holds for tech valuations.
23:54ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Beyond GPT-7: The Customization Toolkit, Meta's Open Source Bet and the Return of Consumer AI主持 Sarah Guo, Elad GilIn a host-only episode, the No Priors hosts map the six levers for 10x to 100x better AI, explain fine-tuning, RAG and AI feedback, and ask why consumer social is suddenly interesting again.
17:21ENLex Fridman播客 · 2 人对谈How Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intent嘉宾 Rohit Prasad · 主持 Lex FridmanAlexa's head scientist recalls the early days of the Echo, when far-field speech recognition seemed unsolvable and there were no customers to collect data from.
24:08ENLex Fridman播客 · 2 人对谈Intelligence Is Not Just Prediction: David Ferrucci on Explanation, Persuasion and Shared Meaning嘉宾 David Ferrucci · 主持 Lex FridmanThe lead of IBM's Watson team argues that predicting well is only half of intelligence, and that being understood by others is the other half.
23:11ENLex Fridman播客 · 2 人对谈Nick Bostrom on Superintelligence: Why the Upside Deserves as Much Attention as the Risk嘉宾 Nick Bostrom · 主持 Lex FridmanIn a clip from the Lex Fridman Podcast, Oxford philosopher Nick Bostrom defines superintelligence, discusses intelligence explosions, and sketches what a good AGI future might look like.
15:43ENLex Fridman播客 · 2 人对谈Inside RIDER: The Rugged Black Box Behind MIT's Large-Scale Driving Study嘉宾 MIT-AVT · 主持 Lex FridmanA walkthrough of the data-collection device MIT-AVT uses to record drivers and vehicles in semi-autonomous cars month after month.
26:01ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈After the OpenAI Saga: Governance, Incentives, Diffusion Models and Why Your ASP Is My Opportunity主持 Sarah Guo, Elad GilIn a host-only episode, Sarah Guo and Elad Gil unpack what OpenAI's leadership turmoil teaches about governance and incentives, then turn to AI video, small teams and the economics of AI investing.
17:19ENLex Fridman播客 · 2 人对谈From Atoms to Data Centers: How a Modern Processor Finds Parallelism in a Serial Program嘉宾 Jim Keller · 主持 Lex FridmanJim Keller walks through the layers of abstraction in computer design, from transistors to out-of-order execution, branch prediction and deterministic answers.
26:45ENLex Fridman播客 · 2 人对谈Start Small, Build Habits, Pick Your Team: Andrew Ng's Practical Advice for Learning Deep Learning嘉宾 Andrew Ng · 主持 Lex FridmanIn a clip from the Lex Fridman Podcast, Andrew Ng explains how to begin in deep learning, how to study effectively, and how to choose a career path.
29:03ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Notion's Simon Last on Rewriting the AI Harness Every Six Months and Managing a Swarm of Agents主持 Sarah Guo, Elad GilThe Notion co-founder traces the product's path from a writing assistant to custom background agents, and describes how coding agents changed the way he builds.