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16:22ENClaire Vo: Claude Duet Is Beautiful, but It Is Not My Number One AgentHost 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.
2:50:40ENThey Priced the Chance She Would Leave. Then They Handed Her the Letter.Host Nathan LabenzNathan Labenz premieres the first four chapters of Joel Borgen's AI-coauthored novel The Receipt Horizon, a postwar world where a singleton superintelligence keeps everyone comfortable, scored, and gently out of the loop.
2:23:43ENHe Bought an Android, Two SIMs, and Left Claude Watching His InboxHost Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.
1:37:50ENGranola Added More Customers Than Almost Anyone by Being Surprisingly UnambitiousHost 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.
1:41:34ENChat Is the Universal Interface—and Often the Worst OneHost Nathan LabenzAtlassian's head of AI on fighting slop with taste, knowledge, and workflow, and why chat is a terminal, not a product.
1:30:17ENHe Co-Wrote the Transformer Paper. Now He Wants You to Own Your AI.Host Nathan LabenzNEAR founder Illia Polosukhin maps a future of personal software, agent-run markets, and AI delegates that vote without a private agenda.
42:20ENA Name Invented at 2:30 a.m. Put Gemini on Top of the App StoreHost Jacob EffronGoogle's Nicole Brichtova and Oliver Wang on Nano Banana, why image models got smart when language models did, and why a prompt still is not a finished product.
1:19:46ENSuspended from Columbia, He Raised $15 Million to Cheat on EverythingHost 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.
1:22:31ENTwo Hours a Day, 99th Percentile: How Alpha School Made 2-Sigma RealHost 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.
1:05:11ENThe Fake Five-Second Hold: Voice AI Is Already Negotiating With TruckersHost 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.
44:34ENThe Cheaper Intelligence Gets, the More of It We'll BuyHost Jacob EffronAmazon AGI Lab head David Luan on what DeepSeek actually meant, why next-token prediction is not enough, and why agents are still stuck on reliability.
1:32:29EN17 Edits, Then 3 Prompts: Lovable Builds the Same App TwiceHost Nathan LabenzAnton Osika and Isaak Sundeman live-build a shopping comparison tool and argue that opinionated defaults—not open-ended agents—are how non-coders actually ship software.
1:12:41ENThe CEO Who Laid Himself Off Is Building a Business Operating SystemHost 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.
35:24ENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the MoatHost Jacob EffronAdobe’s chief product officer tells Unsupervised Learning why Project Neo leaking into Firefly, a three-second Premiere extend, and Superhuman-priced software all point to the same shift.
2:09:50ENHe stayed up all night playing Civilization 6 with his mindHost Nathan LabenzDean W. Ball surveys EEG, ultrasound stimulation, and Neuralink with Nathan Labenz, and argues that merging with machines started decades ago.
1:12:40EN3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.Host 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.
1:15:39ENAfter 20 Years of Frontend, v0 Wrote Better Code Than Guillermo Rauch DidHost 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.
1:00:02EN98% of Users Froze on a Blank Page. Then Gamma Let AI Finish 90% of the DeckHost Nathan LabenzJon Noronha on building the anti-PowerPoint, coaxing models to write HTML, and why incumbents will let startups prove the pattern first.
1:47:05ENEdit Meaning, Not Tokens: Linus Lee on Latent-Space InterfacesHost Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.
1:01:17ENThe $300 million Gates refused, and the $10 billion that went to OpenAIHost Nathan LabenzRobert Scoble and Ben Tossell talk with Nathan Labenz about AI scouting, Apple's still-sleeping neural engines, and whether incumbents or AI-first startups will win.
1:08:29ENTaste, Authenticity and Small Pods: Instagram's Adam Mosseri on Building Products in an AI WorldHost Lenny RachitskyThe head of Instagram explains how Meta's product teams are shrinking, why human judgment and creator identity matter more as AI content grows, and what he learned from his biggest failures.
48:08ENDylan Field on Taste, Simplicity, and Designing Through the AI HypeHost Lenny RachitskyFigma's CEO explains how intuition, feedback, and relentless simplification shape products—and why craft matters more as AI generates more software.
48:58ENNotebookLM's Accidental Podcast Hit: A 20% Project, a Tiny Team, and a Remixable AI EditorHost Lenny RachitskyRaiza Martin explains how NotebookLM's Audio Overviews became a viral demo, how Google Labs let a tiny team ship like a startup, and where the product goes next.
1:17:25ENDon't Trust the Process: How Design Work Is Being Rebuilt Around Engineers and AgentsHost Lenny RachitskyClaude Cowork design lead Jenny Wen explains why the classic discovery-to-mock workflow is fading, what designers do instead, and who she wants to hire.
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