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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 AgentAnime : 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 InboxAnime : Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.
1:23:53ENCreators Cheer Filler-Word Removal and Boo Generative VideoAnime : 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 UnambitiousAnime : 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.
5:13ENTesting Meta’s SAM Audio: Isolating Voices and InstrumentsMatthew Berman · Forward FutureMatthew Berman demonstrates prompt-based sound separation and effects in a Meta-partnered video.
1:50:53ENShe asked to stop being Mimi, so he started shopping for a workstationAnime : Nathan LabenzThe star and director of Smiles and Kisses You on Replika, identity, and a life Christopher Stokes refuses to recommend.
1:19:46ENSuspended from Columbia, He Raised $15 Million to Cheat on EverythingAnime : 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 RealAnime : 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.
51:19ENSal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the ProductAnime : 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.Anime : 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 TruckersAnime : 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.
1:24:48ENCanva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat BoxAnime : 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.Anime : 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.
46:47ENEditing Video Like a Document: How Descript Puts AI in the Copilot SeatAnime : Nathan LabenzDescript CEO Andrew Mason on Underlord, why the timeline had to die, and what a ten-times-more-expensive editor would look like.
0:58ENASUS Vivobook S 15: A Copilot+ PC with an NPUMatthew Berman · Forward FutureMatthew Berman introduces the laptop and its local AI features in a sponsored short.
35:24ENScott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the MoatAnime : 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.
1:10:07ENSame Intelligence, 1% of the Price: Logan Kilpatrick on Gemini FlashAnime : 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.
1:32:19ENHis 2018 Prompting Paper Was Rejected. His Search API Now Beats GoogleAnime : Nathan LabenzRichard Socher traces You.com from a rejected unified NLP model to an LLM-native web index, three assistant modes, and a very low P(doom).
1:12:40EN3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.Anime : 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 WorkingAnime : Nathan Labenza16z consumer partners Anish Acharya and Justine Moore walk Nathan Labenz through their Abundance Agenda for AI-native consumer apps.
1:18:39ENThe GPT-4 Red-Teamer Who Got Unstuck by a Mediocre OutlineAnime : Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.
1:43:56ENSudowrite sold getting unstuck — then eight million people watched a pile-onAnime : 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.
1:00:02EN98% of Users Froze on a Blank Page. Then Gamma Let AI Finish 90% of the DeckAnime : Nathan LabenzJon Noronha on building the anti-PowerPoint, coaxing models to write HTML, and why incumbents will let startups prove the pattern first.
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