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121 篇
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2:50:40EN
Cognitive Revolution "How AI Changes Everything"· 2026年9月26日播客They Priced the Chance She Would Leave. Then They Handed Her the Letter.主持 Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.安全安全与治理Human-AI Collaboration+3
46:08EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年8月13日播客 · 2 人对谈Computers Beat Humans at Chess 30 Years Ago. Chess.com Still Has 250 Million Players主持 Sarah Guo, Elad GilChess.com CEO Erik Allebest tells Sarah Guo how a $56,000 domain became a $200 million business, and why superhuman AI made chess more popular, not obsolete.企业与战略Company BuildingProduct Strategy+3
1:45:59EN
Cognitive Revolution "How AI Changes Everything"· 2026年6月10日播客87% of Workers Use AI. Only 13% Say the Company Got Better.主持 Nathan LabenzGlean’s Work AI Index names the missing hours: botsitting, botshitting, and a hamster wheel of polished nonsense.企业与战略企业 AIHuman-AI Collaboration+3
40:22EN
Sequoia Capital· 2026年6月2日播客Building Gets Easier Near AGI. Knowing What to Build Does Not.Listen Labs CEO Alfred Wahlforss on AI interview agents, a 30-million-person audience, and why transcripts beat credit-card data when you need to predict customers.产品与体验Product StrategyAI Product Management+3
34:56EN
Sequoia Capital· 2026年5月13日播客On Suno, 90% of Daily Users Make a SongCEO Mikey Shulman on modeling raw sound instead of music theory, why music is not an LLM-style scale problem, and treating creation itself as the entertainment.多模态与媒体Generative mediaProduct Strategy+3
1:23:53EN
Cognitive Revolution "How AI Changes Everything"· 2026年5月6日播客Creators Cheer Filler-Word Removal and Boo Generative Video主持 Nathan LabenzDescript CEO Laura Burkhauser maps the same customers' three-speed reaction to AI: deterministic buttons they love, an agentic co-editor they want but scold, and generative video they actively hate.产品与体验Product engineeringGenerative media+3
1:39:17EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月29日播客AI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them Unused主持 Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.企业与战略AI Regulation安全与治理+3
2:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月22日播客Fine-Tuning Isn't Dead — But It Turned a Helpful Model Evil主持 Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.模型与训练微调安全与治理+3
1:18:15EN
Cognitive Revolution "How AI Changes Everything"· 2025年12月27日播客If AI Becomes a Being, Steering It Is Slavery主持 Nathan LabenzEmmett Shear and DeepMind's Séb Krier clash over whether alignment means controlling a tool or raising a creature that cares.安全安全与治理Multi-agent systems+3
1:50:53EN
Cognitive Revolution "How AI Changes Everything"· 2025年11月2日播客She asked to stop being Mimi, so he started shopping for a workstation主持 Nathan LabenzThe star and director of Smiles and Kisses You on Replika, identity, and a life Christopher Stokes refuses to recommend.产品与体验Personal agentsHuman-AI Collaboration+3
36:58EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年10月9日播客 · 2 人对谈STaR's Author Wants Models With EQ, Not Just More IQ主持 Sarah Guo, Elad GilEric Zelikman, the Stanford and xAI researcher behind STaR and Quiet-STaR, launches humans& on the bet that three years of IQ scaling left models emotionally unintelligent.模型与训练Post-trainingReinforcement Learning+3
1:53:50EN
Cognitive Revolution "How AI Changes Everything"· 2025年10月8日播客A curriculum rewrite takes five years. AI does not wait.主持 Nathan LabenzJohan Falk, a Swedish teacher-turned-analyst, argues that AI literacy and AI friends are more urgent than putting a tutor in every classroom.AI in EducationAI Strategy安全与治理+3
1:01:49EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年9月25日播客 · 2 人对谈Two Academic Hours a Day, and 96 Percent of Kids Say They Love School主持 Sarah Guo, Elad GilTrilogy founder Joe Liemandt, now principal of Alpha School, tells No Priors how an AI tutor, a two-hour bargain with fifth graders, and a sports-coach ethos are meant to scale to a billion children.产品与体验AI in EducationProduct Strategy+3
1:44:35EN
Cognitive Revolution "How AI Changes Everything"· 2025年9月11日播客Joe Hudson: $500 Billion Went Into AI, and Nobody Defined 'Good for Humanity'主持 Nathan LabenzSam Altman says the OpenAI coach's superpower is emotional clarity — and that it will be one of the most critical skills in a post-AGI world.企业与战略安全与治理Human-AI Collaboration+3
39:06EN
Sequoia Capital· 2025年8月12日播客He Couldn't Ask His Grandfather What to Do, So He Built a Digital MindOn Sequoia's Training Data, Delphi founder Dara Ladjevardian explains how authorized digital minds turn people into conversational media without replacing them.产品与体验Company BuildingProduct Strategy+3
6:08:48EN → 简体中文
Lex Fridman· 2025年7月12日播客 · 2 人对谈没人认真相信 Cookie 横幅有用嘉宾 DHH · 主持 Lex FridmanLex Fridman 与 David Heinemeier Hansson 聊了六个小时,话题涵盖 Ruby、Rails、AI、离开云、苹果的 App Store,以及小公司为什么依然可以拒绝别人的钱。开源与社区Software engineeringProgramming Languages+3
1:19:46EN
Cognitive Revolution "How AI Changes Everything"· 2025年7月5日播客Suspended from Columbia, He Raised $15 Million to Cheat on Everything主持 Nathan LabenzRoy Lee, founder of Cluely, argues that an undetectable desktop overlay, AI maximalism, and a post-AGI life of 800-year spans are the same bet.产品与体验Product StrategyAI interface design+3
1:22:31EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月25日播客Two Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma Real主持 Nathan LabenzMacKenzie Price explains how Alpha School uses adaptive apps—not chatbots—to finish core academics in two hours a day and still beat the growth models.产品与体验AI in EducationProduct Strategy+3
1:12:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年6月4日播客Google's AI Co-Scientist Solved a Phage Puzzle Humans Missed for Years主持 Nathan LabenzImperial College scientists José Penadés and Tiago Costa told the Podovirus podcast how a still-unreleased Google system recovered their unpublished answer: tailless capsids that pick up stray phage tails.智能体AI for scienceAI research+3
53:51EN
Sequoia Capital· 2025年6月3日播客Veo 3 Took First Place by Beating Veo 2. Google Labs Says Chapter Two Just StartedThree Google Labs leads walk through generative cameras, background computer-use agents, and notebooks that adapt knowledge for an audience of one.多模态与媒体视觉与视频Generative media+3
32:15EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年5月8日播客 · 2 人对谈The Hardest Part of Learning Is Getting Yourself to Start主持 Sarah Guo, Elad GilDuolingo CEO Luis von Ahn tells Sarah Guo how two-minute lessons, streaks, an 83 percent accuracy target, and large language models turned language study into a consumer product.产品与体验Product StrategyAI in Education+3
1:41:29EN
Cognitive Revolution "How AI Changes Everything"· 2025年4月26日播客Fiverr’s CEO Sent a Wake-Up Memo: AI Won’t Take Your Job. A Peer Who Uses It Will.主持 Nathan LabenzMicha Kaufman tells Nathan Labenz how a 15-year freelance marketplace is trying to give creators their own models instead of letting public AI eat their work for free.产品与体验AI StrategyProduct Strategy+3
41:52EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年4月10日播客 · 2 人对谈Mercor Hit $100 Million ARR Teaching Models to Hire. Humans Now Write the Exams.主持 Sarah Guo, Elad GilBrendan Foody tells Sarah Guo and Elad Gil how Mercor automated recruiting for frontier labs — and why building evals may become the world's most common knowledge job.企业与战略评估智能体工程+3
35:14EN
No Priors: AI, Machine Learning, Tech, & Startups· 2025年3月20日播客 · 2 人对谈Robots Have No Wikipedia. Chelsea Finn Is Starting With Three Buildings.主持 Sarah Guo, Elad GilPhysical Intelligence’s cofounder tells No Priors why a generalist robot model has to be trained across embodiments, why open-sourcing hardware is a bet against the problem going unsolved, and why humanoids are a little overrated.模型与训练RoboticsData quality & curation+3
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