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1:56:31EN → 简体中文
Lenny's Podcast播客 · 2 人对谈先开口再思考:Ultraspeaking 创始人用游戏和两种备稿法练演讲嘉宾 Tristan de Montebello · 主持 Lenny Rachitsky联合创始人 Tristan de Montebello 说明演讲为何是元技能,并带 Lenny 现场玩三套练习游戏、演示两种备稿方法。Career GrowthCoachingLeadership+2
17:32EN
Lex Fridman播客Over-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memes主持 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.Software engineering开发流程与测试Workflow automation+3
1:33:38EN → 简体中文
Lenny's Podcast播客先卖后讲:Wes Kao 让想法真正落地的沟通框架主持 Lenny RachitskyMaven 联合创始人、高管沟通课老师 Wes Kao 拆解「先卖后讲」、路标词、MOO、CEDAF 等可练的框架,把清楚的思考变成别人愿意买账的表达。产品与体验LeadershipDecision Making+3
1:19:50EN → 简体中文
Lenny's Podcast播客现在是 AI 的 1997 年:Benedict Evans 为什么说它很大,但只和互联网一样大主持 Lenny Rachitsky独立分析师 Benedict Evans 解释为什么他认为 AI 和互联网、移动一样大、不会更大,以及这对工作、模型公司、分发和舆论反弹意味着什么。企业与战略AI Strategy企业 AI+3
1:24:37EN → 简体中文
Lenny's Podcast播客 · 2 人对谈工具是用来解决问题的:Austin Hay 的 MarTech 实操指南嘉宾 Austin Hay · 主持 Lenny RachitskyRamp 营销技术负责人讲清 MarTech 是什么、该挂在组织哪里、数据栈怎么搭,以及怎么招到对的人。企业与战略Go-to-MarketGrowth Strategy+3
1:29:39EN → 简体中文
Lenny's Podcast播客五个客户、三个原型、一天:怎样找到你的靶心客户主持 Lenny RachitskyGV 的 Michael Margolis 讲如何把最初最可能采用产品的那群人收窄,并用一天的研究冲刺把它验证出来。产品与体验Product StrategyProduct-Market Fit+3
33:31EN
No Priors: AI, Machine Learning, Tech, & Startups播客 · 2 人对谈Open Source Catches Up, Regulation Can Wait: Sarah Guo and Elad Gil Answer Listener Questions主持 Sarah Guo, Elad GilTwo AI investors cover open-source models, autonomous agents, whether to regulate AI, where startups can win, and why healthcare innovation is so hard.企业与战略Open-source ecosystemsOpen-weight models+3
1:19:39EN
Lenny's Podcast播客Engineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 Months主持 Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.编程智能体Agent orchestrationDeveloper productivity+3
45:00EN
Unsupervised Learning: With Jacob Effron播客Agents Everywhere: OpenAI's Blueprint for Tool Use, Evals, and Computer-Use Infrastructure主持 Jacob EffronOpenAI's API platform team explains how agents are moving from deterministic workflows to reasoning-driven tool use, and what developers still lack.智能体智能体工程Computer use+3
1:31:56EN → 简体中文
Lenny's Podcast播客完美很诡异:儿童心理学家怎么带难搞的成年人主持 Lenny RachitskyDr. Becky Kennedy 把养出有韧性的孩子的那套原则,直接用到带团队、管同事和做决定上。企业与战略LeadershipCoaching+3
1:04:06EN → 简体中文
Lenny's Podcast播客 · 2 人对谈先把增长模型建出来,再像园丁一样照看双边市场嘉宾 Dan Hockenmaier · 主持 Lenny RachitskyFaire 战略与分析负责人 Dan Hockenmaier 讲怎样建增长模型、市场该盯哪些指标,以及为什么运营双边市场必须下手轻。产品与体验Product StrategyGrowth Strategy+3
54:52EN
Unsupervised Learning: With Jacob Effron播客Coding Agents Are Breaking Containment: The 2026 AI Stack, the Coding Wars, and the Next Frontier主持 Jacob EffronJacob Effron and Swyx map the state of AI engineering, from agent harnesses and infrastructure churn to coding-market economics, open models, dark factories, and world models.编程智能体智能体工程上下文工程+3
1:28:38EN → 简体中文
Lenny's Podcast播客 · 2 人对谈为感受而做,不为曲线:Arc 浏览器背后的产品哲学嘉宾 Josh Miller · 主持 Lenny RachitskyThe Browser Company 的 CEO Josh Miller 讲述 Arc 如何围绕情绪、价值观、一支很小却不寻常的团队,以及把互联网当成下一代电脑来下注。产品与体验Product StrategyProduct Leadership+3
10:39EN
Lex Fridman播客Statistics as Decision-Making: Michael I. Jordan on Bayesians, Frequentists and the Ideas Between Them主持 Lex FridmanBerkeley's Michael I. Jordan explains where statistics came from, why it is really about decisions, and how empirical Bayes and false discovery rate bridge two rival philosophies.模型与训练机器学习基础Decision Making+2
11:29EN
Lex Fridman播客Why Tesla AI Day Was the Most Impressive Real-World AI Effort Lex Fridman Has Seen主持 Lex FridmanLex Fridman walks through the neural network, data annotation, Dojo and Tesla Bot announcements and what they say about solving real-world robotics.模型与训练Autonomous DrivingRobotics+3
1:38:33EN → 简体中文
Lenny's Podcast播客 · 2 人对谈先定价再做产品:Madhavan Ramanujam 给产品团队的变现课嘉宾 Madhavan Ramanujam · 主持 Lenny Rachitsky《Monetizing Innovation》作者讲解支付意愿研究、按细分做产品、计费方式、利益表述和行为定价。产品与体验Product StrategyPricing Strategy+3
1:06:22EN
Unsupervised Learning: With Jacob Effron播客Perplexity's Bet: Search Becomes Answers, and Answers Become a Business主持 Jacob EffronThe Perplexity CEO explains how a consumer AI search product is built, sequenced, and defended against Google.RAG 与知识库检索增强生成Search & retrieval+3
1:01:12EN
Lenny's Podcast播客The Failure Dividend: What Leaders from Airbnb, Google, Pets.com, Quibi, Duolingo, and Toast Learned from Their Worst Moments主持 Lenny RachitskyA compilation of product leaders' most searing failures—and the operating lessons they extracted from them.产品与体验LeadershipProduct Leadership+3
52:28EN
Lex Fridman播客 · 2 人对谈Ray Kurzweil on Hierarchies, the Neocortex and Merging with AI嘉宾 Ray Kurzweil · 主持 Lex FridmanIn an MIT AGI course lecture, Kurzweil connects the history of neural networks to his hierarchical theory of the neocortex, language understanding at Google, longevity, jobs and existential risk.模型与训练通用人工智能AI History+3
1:19:32EN → 简体中文
Lenny's Podcast播客Product Ops 是规模化产品团队缺的那套操作系统主持 Lenny RachitskyMelissa Perri 和 Denise Tilles 解释产品运营如何把产品经理从杂活里解放出来,加快决策,并在不堆人头的前提下把产品组织做大。产品与体验Product ManagementProduct Strategy+3
48:18EN → 简体中文
Lenny's Podcast播客 · 2 人对谈别把方案写成机会:Teresa Torres 谈机会解决方案树和每周客户访谈嘉宾 Teresa Torres · 主持 Lenny Rachitsky《持续发现习惯》作者讲解怎样给一团乱的产品问题搭架子,每周收集客户故事,并用少量数据下更好的赌注。产品与体验Product ManagementProduct Strategy+3
2:03:00EN
Cognitive Revolution "How AI Changes Everything"播客Ban Superintelligence or Build the Rules as We Go? Max Tegmark and Dean Ball Clash Over a Precautionary AI Regime主持 Nathan LabenzIn a Doom Debates crossover, the Future of Life Institute's Max Tegmark and former White House adviser Dean Ball argue over whether superintelligence should be prohibited until it is provably controllable.安全安全与治理Existential Risk+3
1:25:15EN → 简体中文
Lenny's Podcast播客 · 2 人对谈产品管理剧场,以及怎么走出来:Marty Cagan 谈新书 TRANSFORMED嘉宾 Marty Cagan · 主持 Lenny RachitskySVPG 创始人解释为什么许多 PM 岗位其实是项目管理,AI 如何抬高赌注,以及公司怎样从功能团队走到被赋能的产品团队。产品与体验Product ManagementProduct Leadership+3
1:00:15EN
Lex Fridman播客 · 2 人对谈Circuit Search, Hindsight and Self-Play: Ilya Sutskever's Case for Where Learning Is Going嘉宾 Ilya Sutskever · 主持 Lex FridmanIn an MIT AGI lecture, OpenAI's co-founder explains why deep learning works, then walks through meta-learning, hindsight experience replay, sim-to-real transfer, self-play and learning goals from human feedback.模型与训练机器学习基础Deep Learning+3
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