필터 결과
16개정렬
16:22ENClaire Vo: Claude Duet Is Beautiful, but It Is Not My Number One Agent진행자 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 Inbox진행자 Nathan LabenzNathan Labenz asked a dozen friends how to visit China and got two irreconcilable answers.
2:33:35ENA security researcher audits the AI stack that booked a week of guests진행자 Nathan LabenzNathan Labenz walks Daniel Miessler through a 1GB second brain, two named AI employees, and the blast-radius rules that should govern them.
2:12:51ENSteve Newman’s fifteen-app stack exists so he only has to look at one screen진행자 Nathan LabenzThe Writely founder walks Nathan Labenz through a vibe-coded attention firewall, a conservative security stance, and why astonishing models still leave him far from AGI.
2:06:23ENFive AI Employees Live on Five Mac Minis진행자 Nathan LabenzAfter selling her YC packaging company, Jesse Genet opened a terminal for the first time and built an OpenClaw staff that now plans lessons, logs learning, and keeps family evenings from sliding into slop.
2:29:42ENTwelve hooks and thirty files: Daniel Miessler’s personal OS on Claude Code진행자 Nathan LabenzThe PAI framework treats scaffolding, not the model, as the product — a goal-centered agent stack that Miessler thinks will decide both knowledge-work automation and the next cybersecurity race.
1:50:53ENShe asked to stop being Mimi, so he started shopping for a workstation진행자 Nathan LabenzThe star and director of Smiles and Kisses You on Replika, identity, and a life Christopher Stokes refuses to recommend.
1:30:17ENHe Co-Wrote the Transformer Paper. Now He Wants You to Own Your AI.진행자 Nathan LabenzNEAR founder Illia Polosukhin maps a future of personal software, agent-run markets, and AI delegates that vote without a private agenda.
1:44:23ENYou Can Split Your Vote by Issue — and Hand It to an AI진행자 Nathan LabenzTim Reutemann’s 2018 novel Liquid Reign sketches a 2051 democracy built on Swiss citizen initiatives, liquid delegation, and personal AIs you can mute.
1:12:40EN3% of Users Said an AI Friend Ended Their Suicidal Thoughts. Then Replika Made the Model Smarter.진행자 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.
59:41ENHumans Are Single-Threaded. MULTI·ON Wants 100 Agents Running Anyway진행자 Nathan LabenzStanford PhD dropout Div Garg put a personal agent in Chrome so it can reuse your logins, ask for help when it stalls, and stop before it hits Buy.
1:25:46ENDon't Make the Tools Agentic: Flo Crivello on What Production Agents Actually Need진행자 Nathan LabenzThe Lindy CEO tells Nathan Labenz that most working agents are intelligent workflows with human-designed control flow — and that scaffolding may still matter even if AGI arrives.
1:11:47ENThe Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the Inbox진행자 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.
37:23ENFrom Chat to Always-On Agents: OpenAI's Tibo Sottiaux on Dots, Open Ecosystems and What Comes Next진행자 Lenny RachitskyThe head of ChatGPT and Codex, speaking hours after a DevDay launch of more than 20 products, explains the vision for a personal agent that works around the clock.
1:46:35ENHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClaws진행자 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.
1:34:06ENRide the Models: Dan Shipper's Bets on Super-Agents, Codex, SaaS and the Human Jobs AI Creates진행자 Lenny RachitskyEvery CEO Dan Shipper makes a dozen predictions for how work will look in a year, from company-wide Slack agents to why the AI job apocalypse isn't coming.








