絞り込み結果
44 件並び順
41:25ENEven If the Models Froze Today, We've Extracted One-Millionth of the Valueホスト Sarah Guo, Elad GilAirtable CEO Howie Liu on why a 2012 vision deck still maps the company, why enterprise AI is stuck on imagination, and why codegen will not kill no-code before AGI.
51:36ENKlarna's AI Took 700 Customer-Service Jobs. The Secret Was the ManualCEO Sebastian Siemiatkowski tells Sequoia how an OpenAI guinea-pig bet, a dispute-queue Slack message, and documentation written for an amnesiac employee produced $40 million of profit.
2:00:03ENPatients Rated GPT-4 More Empathetic Than Doctorsホスト Nathan LabenzAzeem Azhar of Exponential View maps the AI S-curve for Nathan Labenz: why the past always looks flat, why empathy went first, and what a million times more compute would actually change.
1:50:57ENTwenty-Eight Days After GPT-4, an AI Designed and Ran a Chemistry Experimentホスト Nathan LabenzGabe Gomes and his Carnegie Mellon students built Coscientist, a language-model agent that plans, codes, and executes real experiments on a remote cloud lab.
1:18:39ENThe GPT-4 Red-Teamer Who Got Unstuck by a Mediocre Outlineホスト Nathan LabenzDan Shipper shows Nathan Labenz how to use ChatGPT as a copilot for thinking, not as a ghostwriter for his own voice.
1:30:21ENA Million DALL-E Images, Distilled into Twelve Minutes of Filmホスト Nathan LabenzWaymark’s Stephen Parker and Josh Rubin walk through how they turned stills from DALL-E 2 into The Frost, a narrative short, and what the next generation of video models changes.
39:02ENAI’s product advantage is consistency. Its real weakness is getting conned.ホスト Nathan LabenzNathan Labenz updates the Cognitive Revolution scouting report: jailbreaks, resume automation, Med-PaLM’s 40% radiology win, and what might follow Transformers.
1:30:29ENGPT-4 Wins Ten Times More Bill Fights: DoNotPay's Robot-Lawyer Warホスト Nathan LabenzGPT-3 thanked Comcast for twenty dollars off. GPT-4 said that was not enough — and the robot lawyer called it an arms race.
1:10:11ENTrying ChatGPT is not the same as using itホスト Nathan LabenzRachel Woods of The AI Exchange tells Nathan Labenz what she learned from more than a hundred company calls: start inside the business, skip the annual tool contract, and expect to be using only a sliver of what the models can already do.
58:26ENSeventy Percent of the Inbox Is a Pitch: Matt Welsh on the First Wave of AI Agentsホスト Nathan LabenzThe Fixie.ai founder maps copilot versus delegation, the missing appendages into our systems, and why agents will need guardrails, memory hygiene, and probably an earpiece.
1:25:46ENDon't Make the Tools Agentic: Flo Crivello on What Production Agents Actually Needホスト 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.
1:34:57ENFifteen People, Four Products, Zero Handwritten Code: Inside Every's AI-First Companyゲスト Dan Shipper · ホスト Lenny RachitskyEvery CEO Dan Shipper explains how his small team uses Claude Code, an AI operations lead and compounding engineering to do the work of a much larger company.
1:11:47ENThe Three-Hour Battlefield: Rahul Vohra on Why Email Survives and Agents Will Inherit the Inboxホスト 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.
19:31ENBuild the Factory, Not Just the Product: How Ramp Chases Bottlenecks Across the Whole Development Loopホスト Lenny RachitskyRamp CPO Geoff Charles walks through the AI agents his team built for every stage of product development, and what they mean for the PM's role.
1:28:28ENFish Where the Fish Are: Andrew Wilkinson on Boring Businesses, AI Agents and Why Money Didn't Make Him Happyゲスト Andrew Wilkinson · ホスト Lenny RachitskyThe co-founder of Tiny, the "Berkshire Hathaway of the internet", explains how to pick a startup idea, how he runs his life on AI agents, and what actually changed his happiness.
1:04:35ENOscar Health's AI Playbook: Translate the Bureaucracy First, Then Reinvent Careホスト Jacob EffronMario, Oscar Health's CTO and co-founder, explains how a regulated insurer deploys LLMs today and what stands between healthcare and AI doctors.
1:46:35ENHire Your Agents Like Employees: Claire Vo's Field Guide to Running Nine OpenClawsホスト 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.
17:32ENOver-Automating, Googling Doctors and Neural Nets: George Hotz Reviews Programming Memesホスト Lex FridmanLex Fridman and George Hotz rate printed programming memes, and the jokes turn into candid talk about testing, hiring, social media and the power of neural networks.









