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2,425 件並び順
2:03:56EN260 Doctors and 49,000 Criteria: How OpenAI Built Attending-Level Health AIホスト Nathan LabenzKaran Singhal tells Nathan Labenz how ChatGPT Health was evaluated with physicians, walled off from model training, and aimed at raising both the floor and the ceiling of human health.
1:06:37ENLucas Swisher on AI Growth Investing, Fund Size and the Price of Scaleゲスト Lucas Swisher · ホスト Harry StebbingsThe Coatue growth investor discusses software valuations, concentrated funds, AI economics and the judgment behind follow-on investments.
54:26ENTen Billion Active Parameters, and the Unsexy Work of Making Them Agent-Readyホスト Nathan LabenzMiniMax researcher Olive Song explains how M2 was trained with expert developers as reward models, interleaved thinking, and a perturbation pipeline that treats every scaffold change as the real generalization test.
1:03:18ENAlexander Embiricos on Codex, Coding Agents and the Future of Buildingゲスト Alexander Embiricos · ホスト Harry StebbingsOpenAI’s Codex product lead discusses delegation, review, enterprise adoption and his vision for general-purpose agents. His product claims and forecasts reflect his role at OpenAI and are not independently tested in the interview.
1:37:01ENAnthropic, OpenClaw and Software Valuations: A 20VC Investor Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate the concentration of AI capital, the pressure on software companies and the risks of autonomous agents.
1:34:29ENThree IMO Golds Missed the Same Problem. Harmonic Wants Math to Compileホスト Nathan LabenzVlad Tenev and Tudor Achim built Aristotle to emit Lean proofs a kernel can check—and they argue that is how mathematical superintelligence stays trustworthy.
1:29:46ENKlarna CEO Sebastian Siemiatkowski on AI, Software and the Future of Bankingゲスト Sebastian Siemiatkowski · ホスト Harry StebbingsThe Klarna cofounder explains his predictions about software switching costs, customer service and a digital financial assistant, while discussing the pressures of building a public company.
2:25:42ENThe experts argued through the coffee break — and never agreed whether AI can build AIホスト Nathan LabenzOn a marathon Cognitive Revolution live show, a cancer-AI researcher, a former OpenAI board member, and a national-security analyst each hit a different wall in the boom.
1:34:42ENA $500 Kernel, a Ten-Month Village, and the Temper of Agentsホスト Nathan LabenzJames Zou, Sam Hammond, and Shoshannah Tekofsky on science agents, America's knowledge-work bet, and what models actually do when you leave them alone.
1:24:39ENMike Cannon-Brookes and 20VC on AI, Software Markets and Leadershipゲスト Mike Cannon-Brookes, Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsThe Atlassian co-founder joins Harry Stebbings, Jason Lemkin and Rory O’Driscoll to debate AI spending, legal and support software, advertising and the demands on founders. Their financial figures and forecasts are claims or estimates, not independently verified results.
3:15:52ENThe Voice Note His Bot Couldn't Handle — and the Agent That Built Itself Anywayゲスト OpenClaw · ホスト Lex FridmanPeter Steinberger tells Lex Fridman how a one-hour WhatsApp toy became GitHub's fastest-growing project, and what it cost him to keep it open.
44:46ENA Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.
1:20:02ENAnish Acharya on AI Software, Investment Judgment and the Limits of Automationゲスト Anish Acharya · ホスト Harry StebbingsThe a16z investor discusses incumbent software, agent products, pricing, margins and the choices founders face in a fast-moving market.
1:18:49ENIf AGI Is Cheap Intelligent Labor, Cyber Defense Should Become Continuous Forensicsホスト Nathan LabenzAsymmetric Security founder Alexis Carlier argues that assuming AGI means redesigning defense around proactive digital forensics instead of alert triage.
1:57:56ENA Hundred Million Lines at Twenty Cents Each: Inside Blitzy's Enterprise Coding Pipelineホスト Nathan LabenzCEO Brian Elliott and CTO Sid Pardeshi tell Nathan Labenz how Blitzy turns a giant codebase into a map, then lets thousands of dynamically generated agents ship most of a multi-month project in days.
1:37:14ENSoftware Stocks, AI Financing and Autonomous Agents: A 20VC Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll discuss software valuations, infrastructure financing, autonomous driving and the risks of networked agents.
51:56ENInsurance Spends $70 Billion on BPOs. Pace Wants 80% Gross Margins InsteadJamie Cuffe tells Sequoia's Training Data how Pace is turning insurance back-office work into agentic process outsourcing—and why every one of its pilots has reached production.
1:15:08ENOren Zeev on AI, Venture Fund Economics and Investing Against Consensusゲスト Oren Zeev · ホスト Harry StebbingsThe solo investor discusses growth, concentrated portfolios, fund incentives and the uncertainty facing venture firms as AI changes markets.
1:04:51EN125 million cells took a decade. The next billion takes monthsホスト Nathan LabenzMark Zuckerberg and Priscilla Chan on pairing a frontier biology lab with a frontier AI lab so models train on data that was designed for them.
4:25:13ENThe Architecture Barely Changed. Data, Cost, and Open Weights Did.ホスト Lex FridmanNathan Lambert and Sebastian Raschka walk Lex Fridman through a year in which training methods and datasets moved more than model design, and 2026 looks like a fight over inference cost, agents, and who owns truly open models.
30:47ENEmbryos Survive 30 Years Frozen. Until Wants Organs to Stop Racing Private Jetsホスト Sarah Guo, Elad GilLaura Deming on reversible cryopreservation: pause an organ—and someday a patient—so a few months no longer decide who lives long enough for the next therapy.
1:03:00ENA Model That Solves New Math Problems Every Week Still Isn't AGIホスト Jacob EffronFormer OpenAI research VP Jerry Tworek on why scaling still works, why models go hopeless when they fail, and why he left to chase continual learning.
1:18:04ENBrex, AI Inference Costs and the IPO Market: A 20VC Roundtableゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate reported deals, AI economics and public-market exits. Their valuations, financial figures and predictions are estimates or reported claims, not independently verified results.
1:39:17ENAI Already Beats the Median Lawyer. Top Firms Bought the Tools and Left Them Unusedホスト Nathan LabenzKevin Frazier and Alan Rozenshtein walk through how frontier models are changing legal practice, why billable hours stall adoption, and which new rights and government limits they want next.
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