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1:08:23ENShiv Rao on Building Abridge, Clinical Workflows and AIInvitado: Shiv Rao · Presenta: Harry StebbingsThe Abridge co-founder discusses years of market development, model choices, data trust and the limits of automating clinical work.
1:34:54ENSix Months, Eighty Percent Churn, Five Times the TokensPresenta: Nathan LabenzTasklet CEO Andrew Lee tells Cognitive Revolution how he rewrote the stack, why most lost users leave for Anthropic, and why he thinks only three kinds of software company survive.
1:21:56ENYann LeCun Left Meta Because LLMs Will Not Get You to IntelligencePresenta: Jacob EffronThe Turing Award winner tells Jacob Effron why he spun AMI Labs out of Meta, why JEPA-style world models beat pixel generators, and why he thinks Hinton changed his mind in 2023.
38:01ENThe Philippines Gifted America 4,000 Acres. Pax Silica Wants to Make the AI Supply Chain a BusinessPresenta: Sarah Guo, Elad GilUS Under Secretary Jacob Helberg on a 14-country coalition, a diplomatic industrial zone in the Philippines, and why Washington is putting companies—not ministries—in the driver's seat.
1:19:05ENAI Compute Deals, Cerebras’s IPO and the Cost of Building: A 20VC RoundtableInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsJason Lemkin and Rory O’Driscoll debate AI infrastructure, software competition and IPO valuations, then discuss the personal demands of founding a company.
34:56ENOn 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.
22:01ENThe first AI take-private is a $6.3 billion bet that services can grow like softwarePresenta: Sarah Guo, Elad GilLong Lake CEO Alexander Taubman tells Elad Gil why his firm is taking American Express Global Business Travel private after 30 AI-driven acquisitions — and why they buy the company instead of selling it a tool.
1:13:48ENPatrick Forquer on Selling Legal AI and Scaling Legora’s Revenue TeamInvitado: Patrick Forquer · Presenta: Harry StebbingsLegora’s chief revenue officer explains how his team runs pilots, trains salespeople and forecasts rapid growth, and shares company-reported performance figures.
3:50:35ZH姚顺宇:从理论物理到大模型,理解训练、组织与协作Invitado: 姚顺宇 · Presenta: 张小珺研究科学家与张小珺讨论预训练、编程智能体、长任务,以及从 Anthropic 到 Google DeepMind 的经历。
1:57:54ENCliff Weitzman on Speechify, AI Tools and Learning Through IterationInvitado: Cliff Weitzman · Presenta: Harry StebbingsThe Speechify founder discusses growth experiments, engineering culture, personal health experiences and the promise and risks he sees in AI.
1:26:16ENMilliseconds to Match: How Criteo Bids on a Billion Anonymous ProfilesPresenta: Nathan LabenzCriteo’s CTO and AI lab head walk through the millisecond auction, the DeepKNN-to-foundation-model stack, and why a live product catalog still beats a frozen LLM.
1:36:35ENAI Spending, Software Stocks and IPO Speculation: A 20VC Earnings RoundtableInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsJason Lemkin and Rory O’Driscoll assess technology earnings, software growth and reported AI funding, then debate how leaders and workers adapt to AI.
4:18:22ENEvery Cycle Matters: The Volunteers Who Decode Almost All Internet VideoInvitado: FFmpeg · Presenta: Lex FridmanLex Fridman talks with Jean-Baptiste Kempf and Kieran Kunhya about FFmpeg, VLC, handwritten assembly, and the unpaid crew behind YouTube, Netflix, and a rover on Mars.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative VideoPresenta: 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.
1:20:30ENTobi Lütke on Building Shopify, AI and the Future of WorkInvitado: Tobi Lütke · Presenta: Harry StebbingsShopify’s CEO discusses long-term leadership, AI-assisted engineering and his views on employment and public policy.
1:14:23ENBecca Lindquist on Clay’s Sales Hiring, Compensation and AIInvitado: Becca Lindquist · Presenta: Harry StebbingsClay’s head of sales explains how she evaluates candidates, designs incentives and builds customer champions in a product-led business.
2:17:49ZH苏煜:从逻辑智能体到语言智能体,走向专业化学习Invitado: 苏煜 · Presenta: 张小珺研究者与张小珺梳理智能体技术史,讨论 OpenClaw、世界模型、界面与可靠性。
42:57ENInference Is the Last Market: Baseten’s 30x YearPresenta: Sarah Guo, Elad GilCEO Tuhin Srivastava on a billion-dollar inference cloud, why the app layer survives, and a GPU crunch worse than the narrative.
1:48:43ENThe reward jumped from 3 to 180. Every Hacker News title was a Google layoff.Presenta: Nathan LabenzCoreWeave's Kyle Corbitt walks Nathan Labenz through GRPO, rubrics, RL environments, and why most reward hacks are easy to catch once you know to look.
1:28:19ENAI Compute, Private Equity and the Narrowing Exit: A 20VC RoundtableInvitado: Jason Lemkin, Rory O’Driscoll · Presenta: Harry StebbingsJason Lemkin and Rory O’Driscoll debate reported AI financing, software’s future and what private-equity losses could mean for venture investors.
1:20:29ENAdam Foroughi on AppLovin, AI and Building a Lean CompanyInvitado: Adam Foroughi · Presenta: Harry StebbingsAppLovin’s CEO discusses staff cuts, AI-assisted engineering, compensation and public-market decisions, offering his account of a volatile company turnaround.
2:38:48ENA thousand searches for five cents, and a high score that did not require cheatingPresenta: Nathan LabenzOn a Cognitive Revolution morning show, Ceramic’s Anna Patterson collides cheap search with GPT-5.5’s clean Vending-Bench run, Zvi’s case for model welfare, and analog chips that cut matrix-multiply energy about thirtyfold.
48:49ENAmjad Masad on Replit, Coding Agents and the Future of SoftwareInvitado: Amjad Masad · Presenta: Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.
3:34:39ENLuo Fuli on Agent Frameworks, Model Training, and TeamworkInvitado: Luo Fuli · Presenta: 张小珺Xiaomi’s model team leader discusses OpenClaw, long-context efficiency, post-training, and collaboration in a period of rapid change.
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