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4,498 篇排序
1:53:54EN → 简体中文从「听过最糟的点子」到一亿美元 ARR:Gamma 如何用三十人做出盈利增长嘉宾 Grant Lee · 主持 Lenny RachitskyGamma CEO Grant Lee 讲述产品市场契合、微型网红营销、当天测原型、定价和极慢招聘,如何把一款 AI 演示工具做到超过五千万用户。
1:21:35EN → 简体中文把马里奥卖成爆发状态:Jen Abel 从 100 万做到 1000 万的企业销售打法主持 Lenny Rachitsky企业销售老手 Jen Abel 解释,为什么创业公司该先追一线大客户、把价格定在大约 10 万美元、卖愿景少卖问题,并招能像创始人那样成交的销售。
1:24:56EN → 简体中文人雇产品来过日子:Bob Moesta 讲挣扎时刻、情境和真正的待办任务嘉宾 Bob Moesta · 主持 Lenny RachitskyJobs to Be Done 共创者解释顾客何时才会改行为、访谈该怎么做,以及这套方法在什么情况下并不适用。
1:02:56EN → 简体中文想清楚、定得快:Stripe 文化与 Retool 如何保护创新嘉宾 Eeke de Milliano · 主持 Lenny RachitskyRetool 产品负责人、Stripe 早期产品经理 Eeke de Milliano 谈第一性原理、写作文化、最小可行流程,以及怎样搭出能下大注的产品团队。
1:13:44EN → 简体中文先守住人才密度:Netflix CTO 谈坦诚、Keeper 测试和高标准嘉宾 Elizabeth Stone · 主持 Lenny Rachitsky经济学家出身的 Netflix CTO Elizabeth Stone,讲她如何快速晋升、如何把标准拉高,以及 Netflix 的文化和数据组织实际怎么运转。
1:22:17ENOne Set of Weights, Fourteen Medical Tasks: Inside Google's Multimodal Med-PaLM M主持 Nathan LabenzVivek Natarajan and Tao Tu explain how Google built a single generalist biomedical model that reads images, genomics and text, and what it will take to put it in front of patients.
1:03:10ENPause Tokens, Analogical Prompts and Ring Attention: A Tour of the Transformer's Next Upgrades主持 Nathan LabenzNathan Labenz and Trey Kollmer walk through five recent papers on pausing, backspacing, prompting, streaming and long-context training, and sketch how they might combine into a more capable model.
1:25:25EN → 简体中文探索、利用、留存:Albert Cheng 怎样做订阅产品增长嘉宾 Albert Cheng · 主持 Lenny Rachitsky在 Duolingo、Grammarly 和 Chess.com 带过增长的 Albert Cheng,讲他如何在探索新点子和吃透已验证的赢法之间来回切换,以及为什么现有用户留存才是会复利的杠杆。
1:31:34EN → 简体中文Snyk 怎样从 Node.js 小圈子长成开发者安全巨头嘉宾 Ben Williams · 主持 Lenny RachitskySnyk 产品副总裁 Ben Williams 讲述这家开发者安全公司如何用社区、增长闭环、跨职能团队和可信数据,把自下而上的产品驱动增长做成大生意。
1:12:29EN → 简体中文用户又懒又虚荣又自私:一位印度产品负责人的实战手册嘉宾 Anuj Rathi · 主持 Lenny RachitskyJupiter Money 产品与市场负责人 Anuj Rathi 讲印度产品管理怎么长出来,以及他用来做新用户体验、逆向工作和战略取舍的一套框架。
26:45ENStart 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.
1:07:36EN → 简体中文给创作者做工具,自己得先当创作者嘉宾 Maya Prohovnik · 主持 Lenny RachitskySpotify 播客产品负责人、Anchor 一号员工 Maya Prohovnik 谈狗粮测试、直觉与数据的配合,以及被收购后如何保住创业节奏。
1:01:13ENPinecone's Vector Database Bet: Scaling Through the ChatGPT Tsunami主持 Jacob EffronEdo Liberty explains how Pinecone scaled through the generative AI boom, why vector search is more than a database add-on, and where he sees the next AI infrastructure shifts.
1:15:13EN → 简体中文一年前还怕看代码,他靠 Cursor 把付费产品做上线嘉宾 Zevi Arnovitz · 主持 Lenny RachitskyMeta 产品经理 Zevi Arnovitz 演示一套从建工单到跨模型审查的斜杠命令工作流,说明非技术背景的人如何用 AI 真正交付产品。
29:03ENNotion'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.
12:04ENZuckerberg and Fridman Roll: Why Two Busy Leaders Are Training Jiu-Jitsu主持 Lex FridmanLex Fridman shares footage of a training session with Mark Zuckerberg and explains why martial arts matter for people who run big companies.
1:31:29ENIs Driving More Like Chess or Conversation? Lex Fridman's Opening Lecture on Deep Learning for Self-Driving Cars主持 Lex FridmanThe first lecture of MIT 6.S094 introduces neural networks, reinforcement learning and computer vision through the question of how hard driving really is.
1:45:19EN → 简体中文别急着给答案:一位高管教练的冲突、联合创始人与精力管理手册主持 Lenny Rachitsky前 Stripe、Pinterest 人力负责人 Rachel Lockett 向 Lenny 演示主动倾听、GROW 提问和艰难对话脚本,并现场辅导他如何从没完没了的工作里腾出空间。
1:12:00ENWhy Deep Learning Works at All: Yoshua Bengio on Composition, Saddle Points and the Case for Unsupervised Learning主持 Lex FridmanIn a 2016 Deep Learning School talk, Yoshua Bengio explains the assumptions that let neural nets beat the curse of dimensionality and lays out the open challenges ahead.
1:02:15ENSuno’s CEO Says the Future of Music Is a Conversation, Not a Prompt主持 Jacob EffronSuno CEO Mikey Shulman explains how AI music is moving from text prompts to co-creation, why music evals are subjective, and what he would build next.
1:10:21EN → 简体中文团队重组不可避免:Heidi Helfand 谈五种变化方式,以及怎样把它做好嘉宾 Heidi Helfand · 主持 Lenny Rachitsky《动态团队重组》作者解释为何稳定团队是神话,如何透明地做组织调整,以及何时该把一支团队隔离出来。
1:09:51EN → 简体中文十年校园人脉变成AI数据工厂:Handshake四个月做到5000万美元年经常性收入嘉宾 Garrett Lord · 主持 Lenny RachitskyHandshake CEO Garrett Lord 讲述专家数据标注实际在做什么,以及一个十年校园网络如何成为七家前沿实验室的供应商。
35:43ENTwo Four-Hour Sprints and a Mantra: Inside Lex Fridman's Daily Routine主持 Lex FridmanAn hour-by-hour walkthrough of how Lex Fridman structures a day around deep work, strict limits on distractions, exercise, a one-meal keto diet and reading.
26:51ENA Walking Skeleton in a Beautiful Face: Ben Goertzel on What Sophia Really Is主持 Lex FridmanThe former Hanson Robotics chief scientist explains how Sophia works, why she is not AGI, and why he thinks the illusion can still be put to good use.
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