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1:17:44EN → 简体中文
Lenny's Podcast播客 · 2 人对谈别从第六章讲起：Casey Winters 谈向上沟通、守住已有增长，以及先点燃再烧起来嘉宾 Casey Winters · 主持 Lenny RachitskyEventbrite 首席产品官 Casey Winters 分享产品领导力、规模化之后的简单、作为职业过滤器的战略写作，以及增长的「点燃再起火」顺序。
1:41:26EN
Cognitive Revolution "How AI Changes Everything"播客The AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on Scaling主持 Nathan LabenzNathan Labenz closes his AP-course tour of AI with capabilities, market moats, jobs, law, safety plans and a stance on what to do next.
57:21ENCognitive Revolution "How AI Changes Everything"播客Gemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build Next主持 Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.
1:27:30EN
Lex Fridman播客From NAND Gates to Self-Driving Traffic: Deep Reinforcement Learning in One Lecture主持 Lex FridmanLex Fridman's second MIT 6.S094 lecture walks from the humble perceptron to deep Q-learning and the browser-based DeepTraffic competition.
18:02EN → 简体中文Lenny's Podcast播客职业是你要做的最重要的一款产品：Nikhyl Singhal 的三段楼模型主持 Lenny RachitskySkip 创始人、前 Meta 产品副总裁 Nikhyl Singhal 在 Lenny and Friends Summit 上，给产品负责人一套挑选工作、讲故事、躲过倦怠的框架。
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.
1:05:15ENLex Fridman播客Taming the Long Tail: How Waymo Builds a Self-Driving Factory主持 Lex FridmanWaymo principal scientist Drago Anguelov explains how machine learning infrastructure, hybrid design and smart simulated agents tackle the rare events of autonomous driving.
54:05EN
Unsupervised Learning: With Jacob Effron播客Serval's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a Meeting主持 Jacob EffronHow an AI-native employee-support startup attacks a legacy ITSM incumbent with velocity, code-generated workflows and a permissions-first architecture.
1:27:15ENLex Fridman播客Policy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement Learning主持 Lex FridmanOpenAI's John Schulman walks through the core methods of deep RL, from the score function estimator to TRPO and DQN, and says when each one is worth using.
1:25:34EN → 简体中文Lenny's Podcast播客从几个月压到几天：Claude Code 产品负责人怎样按 AI 的速度发版主持 Lenny RachitskyAnthropic 的 Claude Code 与 Cowork 产品负责人 Cat Wu 解释，当功能从想法到用户只要一周甚至一天，产品经理的角色、招聘、工具和文化会怎样变。
1:24:38EN → 简体中文Lenny's Podcast播客 · 2 人对谈多种子，少浇混凝土：Alex Komoroske 谈 LLM 时代的园丁式产品开发嘉宾 Alex Komoroske · 主持 Lenny Rachitsky前 Google 和 Stripe 战略负责人解释，为什么大模型是「魔法胶带」，组织如何自欺，以及玩法变了之后园丁为什么胜过建造者。
1:39:22EN → 简体中文Lenny's Podcast播客成功把公司变成靶子：Eric Ries 讲怎样做成不可腐蚀的企业主持 Lenny Rachitsky《精益创业》作者用 Anthropic、Costco、Patagonia 和 Novo Nordisk 说明：毁掉好公司的往往不是对手，而是默认治理与财务引力。
1:07:20EN → 简体中文Lenny's Podcast播客 · 2 人对谈超高速增长买不来：Atlassian 前营销一号位谈产品、口碑和选对下一家公司嘉宾 Carilu Dietrich · 主持 Lenny RachitskyCarilu Dietrich 用 Atlassian 和一批 B2B 高增长公司的经历，讲怎么选雇主、怎么做品牌，以及为什么大的增长动作必须是全公司战略。
45:27EN
No Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈The Agent State: How AI Flattened the Adversary Pyramid and Why Defenders Need Their Own Frontier Models主持 Sarah Guo, Elad GilCrowdStrike CEO George Kurtz explains how low-skill attackers now wield nation-state tradecraft through AI agents, and how CrowdStrike and Nvidia are training security-specific models to fight back.
1:22:50EN → 简体中文Lenny's Podcast播客 · 2 人对谈激进的自我探询：Jerry Colonna 谈怎样长大，又不必活得很糟嘉宾 Jerry Colonna · 主持 Lenny Rachitsky高管教练 Jerry Colonna 解释，领导力和韧性来自诚实的内在功课，未经审视的童年模式会悄悄塑造团队和公司。
1:25:49ENLenny's Podcast播客Ship Weekly, Cut Scope, and Keep a Secret Roadmap: How Captions Builds in the AI Era主持 Lenny RachitskyGaurav Misra explains how a modern AI startup turns constant model progress into weekly shipped products, technical debt as leverage, and talking-video tools for non-professionals.
1:55:04ENLex Fridman播客 · 2 人对谈Mining the Computational Universe: Stephen Wolfram on What AI Can and Can't Be Told to Do嘉宾 Stephen Wolfram · 主持 Lex FridmanIn a talk for MIT's AGI course, Stephen Wolfram connects Wolfram Alpha, simple programs, computational irreducibility and the problem of telling machines what humans want.
1:09:56EN → 简体中文Lenny's Podcast播客谁都能做出任何功能时，品味才是产品工作本身主持 Lenny RachitskyOpenAI Codex 桌面应用负责人 Andrew Ambrosino 讲产品开发如何被 AI 倒转、角色该糊到哪一步，以及 Codex 和 ChatGPT 要往哪走。
1:19:21ENLex Fridman播客Vapnik's Case for Learning by Predicates, Not Just by More Data主持 Lex FridmanIn an MIT lecture, Vladimir Vapnik argues that complete statistical learning needs two mechanisms, data and invariants, and that choosing smart predicates is where intelligence lives.
58:57ENCognitive Revolution "How AI Changes Everything"播客When the Model Learns to Look Around: Apollo Research on Testing o1 for Scheming主持 Nathan LabenzApollo Research founder Marius Hobbhahn explains how his team probed OpenAI's o1 for deception, what it found, and why the trajectory worries him more than the model itself.
1:36:17EN → 简体中文Lenny's Podcast播客每件事都故意少配人：Rippling 从 COO 到 CPO 的高强度管理课主持 Lenny RachitskyRippling 产品负责人、前长期 COO Matt MacInnis 解释为什么出色结果必须配上出色投入，以及他用来招人、设流程、保住强度的一套框架。
1:03:25ENLex Fridman播客Theano in an Hour: Symbolic Graphs, Automatic Gradients and a Compiler That Rewrites Your Math主持 Lex FridmanPascal Lamblin of MILA walks through how Theano builds, differentiates, optimizes and runs computation graphs, then trains logistic regression, a convnet and an LSTM.
31:46ENNo Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Why Rivian Threw Out Its First Self-Driving Stack and Built Its Own Brain主持 Sarah Guo, Elad GilRivian founder RJ Scaringe explains the neural-net reset, in-house chips, software-defined architecture and the mass-market R2 bet.
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.加载更多已显示 24 篇，共 4,493 篇