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20:55ENJesse Hall: Build Voice Agents for Conversations, Not LeaderboardsJesse Hall · LiveKitLiveKit’s Jesse Hall explains how to evaluate voice agents as real-time systems: understand callers, handle interruptions, keep talking while tools run, and measure the delay people actually hear.
16:22ENClaire Vo: Claude Duet Is Beautiful, but It Is Not My Number One AgentPresenta: Claire VoAnthropic’s phone-based personal agent has the most polished launch Claire Vo has seen: thoughtful onboarding, task lists, first-class artifacts, and Slack-style channels. Polish is not enough when every other agent is competing for the same attention.
2:23:43ENHe Bought an Android, Two SIMs, and Left Claude Watching His InboxPresenta: Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.
40:22ENBuilding 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.
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.
1:37:50ENGranola Added More Customers Than Almost Anyone by Being Surprisingly UnambitiousPresenta: Nathan LabenzCo-founder Sam Stephenson tells Nathan Labenz how a calm notes app for frazzled meeting days, one Slack-sharing loop, and a refusal to promise the burning-fire work built a $1.5 billion company.
5:10:12ENYou Don't Need a CFO to Make World of WarcraftInvitado: Jeff Kaplan · Presenta: Lex FridmanJeff Kaplan traces the line from 6,000 hours of EverQuest to Overwatch's six-week origin, Titan's collapse, and a 34-person studio that refuses to hand the golden goose over.
1:50:53ENShe asked to stop being Mimi, so he started shopping for a workstationPresenta: Nathan LabenzThe star and director of Smiles and Kisses You on Replika, identity, and a life Christopher Stokes refuses to recommend.
2:45:26ENDan Houser on Fake Worlds You Want to Live InInvitado: Dan Houser · Presenta: Lex FridmanThe Rockstar co-founder talks with Lex Fridman about GTA, Red Dead Redemption, character craft, leaving the company, and why language models will not write the last five percent.
1:01:49ENTwo Academic Hours a Day, and 96 Percent of Kids Say They Love SchoolPresenta: 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.
1:50:28ENThe 87-Kilobyte Program Two Billion People Open Every MonthInvitado: Dave Plummer · Presenta: Lex FridmanDave Plummer talks Lex Fridman through Task Manager, old-school Microsoft, and how an autistic mind actually works.
39:06ENHe 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.
1:19:46ENSuspended from Columbia, He Raised $15 Million to Cheat on EverythingPresenta: 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.
59:38ENElevenLabs Was Supposed to Be RoadkillCo-founder Mati Staniszewski on dirty audio data, prosumer virality, and why voice should become the default interface for technology.
1:22:31ENTwo Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma RealPresenta: 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.
32:15ENThe Hardest Part of Learning Is Getting Yourself to StartPresenta: 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.
51:19ENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductPresenta: Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.
1:41:29ENFiverr’s CEO Sent a Wake-Up Memo: AI Won’t Take Your Job. A Peer Who Uses It Will.Presenta: 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.
1:05:11ENThe Fake Five-Second Hold: Voice AI Is Already Negotiating With TruckersPresenta: Nathan Labenza16z partners Olivia Moore and Anish Acharya walk Nathan Labenz through what is working in voice AI — call centers, coaches, companions — and what still is not.
51:16ENGoogle Labs Pops Champagne at 10,000 Weekly UsersJosh Woodward on fifty-day sprints, fading paragraph prompts, and why a number Search would never notice is the point of an AI incubator.
54:47ENNinety Thousand Games a Day: Roblox's Bet That AI Should Wash the DishesStef Corazza, head of generative AI at Roblox, tells Sequoia how a free Studio assistant, a community data bargain, and a 3D foundation model are meant to teach AI game development.
38:48ENWho Wants to Chat With an Expense Report?Ramp CEO Eric Glyman tells Sequoia why the chatbot gold rush missed the point, and why the better analogy for company finance is a Waymo: self-driving money.
1:24:48ENCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat BoxPresenta: Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.
55:16ENGemini’s API Grew 14× in Six Months. Google’s PMs Explain the Catch-Up.Presenta: Nathan LabenzLogan Kilpatrick and Shrestha Basu Mallick walk through search grounding, Gemini Flash’s price-latency quadrant, and why a near-tied leaderboard still leaves Google third in most developers’ queues.
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