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48:31ENA Call Center Contact Costs $13. A Company Agent Can Do It for Under a DollarModeration: Sarah Guo, Elad GilSierra cofounder and OpenAI chairman Bret Taylor tells No Priors why branded customer agents are shovel-ready, why RAG demos are not products, and how AI software should charge for the job done.
49:50ENUnconstrained agents captivated Twitter. Custom ones are what ship.LangChain founder Harrison Chase tells Sequoia’s Training Data what an agent actually is, why AutoGPT stalled, and which cognitive architectures reach production.
1:21:50ENA 16K Context Window Holds About 350 Rows. That's Why Tables Need an Agent.Moderation: Nathan LabenzGretel AI founder Alex Watson tells Nathan Labenz why most company data is still a spreadsheet, why GPT-4 is the wrong tool for generating it, and how differential privacy lets a model learn a disease without learning a patient.
1:25:11EN105 lines of code, a million impressions, and a VC who refused to found the companyModeration: Nathan LabenzBabyAGI creator Yohei Nakajima tells Nathan Labenz how a weekend prototype set off the agent wave — and why he went back to writing checks.
42:25ENThe Transformer Co-Author Who Wants to Give AI a WalletModeration: Sarah Guo, Elad GilIllia Polosukhin, co-author of Attention Is All You Need and co-founder of NEAR, argues that a blockchain account turns a language-model agent into an economic actor that can hire people and other AIs.
1:45:46ENReplit's $10 AI Programmer Already Pays for Itself. The Ambition Is Bots Hiring BotsModeration: Nathan LabenzTyler Angert, Replit's first product designer, explains Ghostwriter, a virtual developer, and why the company calls itself the perfect substrate for AGI.
1:40:44ENGive the Model Time, Memory, and Tools: Nathan Labenz’s 2023 Field Guide to Using GPT-4Moderation: Nathan LabenzPart two of the AI Scouting Report walks from H100 clusters and RLHF through chain-of-thought, retrieval, agents, and mixture-of-experts.
1:21:06ENEveryone Talks About RLHF. Almost Nobody Is Doing It.Moderation: Nathan LabenzHumanloop CEO Raza Habib on why an LLM API is maybe five percent of a working product, and what actually fills the rest.
1:32:32ENDevin's Scott Wu on Building an AI Software Engineer and Turning Coders into ArchitectsGast: Scott Wu · Moderation: Lenny RachitskyThe Cognition co-founder explains how his 15-person team uses fleets of Devins to build Devin, what the product can and can't do, and why he expects more engineers, not fewer.
1:11:47ENThe Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the InboxModeration: Jacob EffronSuperhuman's CEO explains how AI features are designed, why email addresses remain company infrastructure, and how agents may federate across the tools professionals live in.
1:42:11ENTwenty Agents, 1.2 Humans: Inside SaaStr's AI-Run Sales TeamModeration: Lenny RachitskyJason Lemkin explains how SaaStr replaced a ten-person go-to-market team with AI agents, what it took to train them, and who survives the shift.
1:46:35ENHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClawsModeration: Lenny RachitskyClaire Vo explains how she went from losing her family calendar to OpenClaw to running a team of specialized agents across her business, podcast, course and household.
1:19:39ENEngineers Become Sorcerers: OpenAI's Sherwin Wu on the Next 12 to 24 MonthsModeration: Lenny RachitskyThe head of engineering for OpenAI's API and developer platform describes life with Codex, how management is changing, and why builders should aim for where the models are going.









