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38:01ENThe Philippines Gifted America 4,000 Acres. Pax Silica Wants to Make the AI Supply Chain a Business진행자 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 Roundtable게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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 software진행자 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 Team게스트 Patrick Forquer · 진행자 Harry StebbingsLegora’s chief revenue officer explains how his team runs pilots, trains salespeople and forecasts rapid growth, and shares company-reported performance figures.
1:57:54ENCliff Weitzman on Speechify, AI Tools and Learning Through Iteration게스트 Cliff Weitzman · 진행자 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 Profiles진행자 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 Roundtable게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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 Video게스트 FFmpeg · 진행자 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 Video진행자 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 Work게스트 Tobi Lütke · 진행자 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 AI게스트 Becca Lindquist · 진행자 Harry StebbingsClay’s head of sales explains how she evaluates candidates, designs incentives and builds customer champions in a product-led business.
42:57ENInference Is the Last Market: Baseten’s 30x Year진행자 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.진행자 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 Roundtable게스트 Jason Lemkin, Rory O’Driscoll · 진행자 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 Company게스트 Adam Foroughi · 진행자 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 cheating진행자 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 Software게스트 Amjad Masad · 진행자 Harry StebbingsReplit’s CEO discusses model routing, software economics, maintenance and the changing roles of builders and engineers.
1:50:05ENCursor Deal Claims, AI Valuations and the Enterprise Agent Race: A 20VC Roundtable게스트 Jason Lemkin, Rory O’Driscoll · 진행자 Harry StebbingsJason Lemkin and Rory O’Driscoll weigh a purported Cursor transaction, design software and enterprise agent infrastructure, while debating IPO and valuation risk.
3:36:29ENClaude Rated Its Own Welfare 4.49 — the First Time Any Version Crossed Neutral진행자 Nathan LabenzCameron Berg returns to The Cognitive Revolution to survey six months of introspection, functional-emotion, and model-welfare research, plus a still-unpublished case that learning and feeling may be the same phenomenon.
39:48EN400,000 Customers, 20,000 APIs: SAP's CTO on the Hard Exam of Enterprise AI진행자 Sarah Guo, Elad GilPhilipp Herzig tells No Priors how SAP is rebuilding the company operating system for AI, and why scale, evals, and pricing will decide who wins.
54:54ENAaron Levie on Enterprise AI, Software Value and the Future of Work게스트 Aaron Levie · 진행자 Harry StebbingsThe Box CEO discusses how agents could reshape enterprise workflows, token budgets and software markets while humans remain involved.
4:23:11ZH洪乐潼:让 AI 学会数学,从形式化证明到创业게스트 洪乐潼 · 진행자 张小珺Axiom 创始人谈数学之美、用 Lean 验证证明,以及她如何从数学研究走向 AI 创业。
2:12:51ENSteve Newman’s fifteen-app stack exists so he only has to look at one screen진행자 Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.
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