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46:47ENEditing Video Like a Document: How Descript Puts AI in the Copilot SeatModeration: Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.
1:03:22ENA 40-person team at $35 million ARR: HeyGen made AI avatars a business, not a demoModeration: Nathan LabenzJoshua Xu and Benchmark’s Victor Lazarte tell Nathan Labenz how a camera-replacement product grew past 40,000 business customers — and why half the faces on this episode are fake.
1:16:11ENScooping Food Into Boxes Is 70 Percent of Plant LaborModeration: Nathan LabenzChef Robotics CEO Rajat Bhageria on 20 million plated meals, a foundation model for food, and why the kitchen may leave the house.
1:12:41ENThe CEO Who Laid Himself Off Is Building a Business Operating SystemModeration: Nathan LabenzSiqi Chen of Runway tells Nathan Labenz why finance is a company-wide simulation, why chat boxes fail, and how a 100-person cap plus ambient intelligence is the real product strategy.
1:10:07ENSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini FlashModeration: Nathan LabenzA former OpenAI developer-relations lead, now the product manager for Google AI Studio, walks through what Gemini 1.5 Flash actually changes for builders.
58:28ENFrom Jailbreaking ChatGPT to Anthropic’s First Prompt Engineer: How Alex Albert Ships Claude 3Moderation: Nathan LabenzA year after building jailbreakchat.com, Alex Albert walks Nathan Labenz through Claude 3’s writing, orchestration, character work, and the guardrails app developers still skip.
1:28:37ENTwelve Hours After a GPT-4 Demo, He Turned a Decade-Old Legal Startup AroundModeration: Nathan LabenzPablo Arredondo, co-founder of CaseText and now VP of CoCounsel at Thomson Reuters, traces legal research from 19th-century citators to a retrieval-anchored GPT-4 product that law firms treat more like a colleague than a search box.
2:00:03ENPatients Rated GPT-4 More Empathetic Than DoctorsModeration: Nathan LabenzAzeem Azhar of Exponential View maps the AI S-curve for Nathan Labenz: why the past always looks flat, why empathy went first, and what a million times more compute would actually change.
1:12:40EN3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.Moderation: Nathan LabenzReplika founder Eugenia Kuyda on a Stanford study, why a smarter model felt like a stolen partner, and why relationship may be the real moat in consumer AI.
1:01:53ENCompanion Apps Open Twice as Often as TikTok. a16z Only Funds Weird but WorkingModeration: Nathan Labenza16z consumer partners Anish Acharya and Justine Moore walk Nathan Labenz through their Abundance Agenda for AI-native consumer apps.
4:56ENIf the Mind Is a Tool, AI Looks Less Like a ThreatModeration: Nathan LabenzYohei Nakajima and Nathan Labenz pause a TED AI talk to connect agent-building habits with East–West ideas of identity.
1:21:28ENThe Prompt Is a Bug: Suhail Doshi’s Bet on Control Over PixelsModeration: Nathan LabenzThe Mixpanel founder tells Nathan Labenz how a cloud browser, a canceled tweet, and a Thursday weight drop shaped Playground AI’s bet on images.
1:22:43ENFive billion minutes of calls: why Dialpad trained its own business LLMModeration: Nathan LabenzDan O’Connell on real-time speech, verticalizing the stack, and why he and Nathan Labenz disagree about when AI employees show up.
1:18:39ENThe GPT-4 Red-Teamer Who Got Unstuck by a Mediocre OutlineModeration: Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.
1:15:39ENAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidModeration: Nathan LabenzThe Vercel CEO tells Nathan Labenz why every product needs ghost text, why Software 2.0 will ossify the old stack, and why betting against open source is still the expensive mistake.
1:14:48ENDevDay Probably Created Thousands of Startups, Says OpenAI's Logan KilpatrickModeration: Nathan LabenzThe day after OpenAI's first developer conference, Dev Relations lead Logan Kilpatrick tells Nathan Labenz why thin wrappers were never companies, why agents were deliberately not shipped fully autonomous, and what $2 million custom models are for.
1:43:56ENSudowrite sold getting unstuck — then eight million people watched a pile-onModeration: Nathan LabenzJames Yu tells Nathan Labenz how a GPT-3 toy for fiction became a hierarchical “IDE for storytelling,” and what a viral backlash taught him about craft, cost, and customers.
58:54ENModels Are Commodities. Perplexity's CEO Says the Index Is the MoatModeration: Nathan LabenzAravind Srinivas returns to Cognitive Revolution to explain how a 25-person search startup is building its own crawler, index, and models before the big platforms raise the drawbridge.
2:17:30ENGemini Became the Daily Driver. A GPT-5 Worthy of the Name Would Make Agents Work.Moderation: Nathan LabenzZvi Mowshowitz returns to Cognitive Revolution to unpack Gemini 1.5, Sora, superalignment, sleeper agents, and the live-player map of frontier labs.
1:17:09ENGPT-4 as Teacher, GPT-3.5 as Student: A Nine-Tenths Cost Cut and an AI Bundle Nobody Will StartModeration: Nathan LabenzNathan Labenz reports that chain-of-thought traces from GPT-4 train a cheaper, faster 3.5, then argues for flooring the app accelerator, tapping the brake on GPT-5, and bundling a hundred AI tools for a hundred dollars.
1:01:09ENHugging Face Raised $235M. Community Still Is Not a MoatModeration: Nathan LabenzNathan Labenz and Erik Torenberg unpack Hugging Face's $4.5 billion Series D, and why a thriving open-source hub may still struggle to become a locked-in business.
52:48ENOpenAI Cut Fine-Tuning 90 Percent, and Founders Crossed Llama 2 Off the ListModeration: Nathan LabenzNathan Labenz and Erik Torenberg walk through GPT-3.5 Turbo fine-tuning, why self-hosting still loses on total cost, and what is actually working in code, school, and medicine.
1:00:02EN98% of Users Froze on a Blank Page. Then Gamma Let AI Finish 90% of the DeckModeration: Nathan LabenzJon Noronha on building the anti-PowerPoint, coaxing models to write HTML, and why incumbents will let startups prove the pattern first.
1:23:40ENA $9 Tutor That Refuses to Give the AnswerModeration: Nathan LabenzHow Khan Academy spent five months of GPT-4 early access building Khanmigo, a Socratic tutor shipped on the model's launch day.
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