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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.
1:43:03ENAI Agents, Coding Work, and Autonomous Aircraft: Forward Future LiveMatthew Berman, Nick Wentz, Jayden Clark, Zach Lloyd, Armor Harris · Forward FutureMatthew Berman and Nick Wentz discuss rapid AI adoption with Jayden Clark, Warp CEO Zach Lloyd, and Shield AI's Armor Harris.
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.
20:12ENMatthew Berman on AI Progress, Work, and Preparing for ChangeMatthew Berman · Forward FutureA reaction to Matt Shumer’s warning about rapid AI progress examines coding agents, benchmark evidence, and practical ways to prepare for uncertain changes at work.
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.
0:51ENUsing OpenClaw to Research and Organize Video IdeasMatthew Berman · Forward FutureMatthew Berman demonstrates an assistant that gathers sources and creates a task in a video-production pipeline.
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.
0:47ENGPT-5 and an Automated Laboratory: A Scientific WorkflowMatthew Berman · Forward FutureMatthew Berman describes an OpenAI and Ginkgo Bioworks demonstration connecting an AI model to laboratory automation.
1:24:44ENForward Future Live: Portable AI Infrastructure, Software and Formal ProofMatthew Berman, Nick Wentz, Tim Davis, Joseph Floyd, Carina Hong · Forward FutureTim Davis, Joseph Floyd and Carina Hong join Matthew Berman and Nick Wentz for a February 2026 discussion.
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.
22:31ENMatthew Berman’s OpenClaw Setup: Models, Workflows, and SecurityMatthew Berman · Forward FutureA walkthrough of a personal AI assistant’s configuration, scheduling, integrations and practical automations, with attention to the risks of granting it access.
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.
1:22:49ENBryan Cantrill: Why Software and Hardware Must Be Designed TogetherBryan Cantrill · Oxide Computer CompanyFrom a stubborn CPU reset to disappearing drives, Oxide’s cofounder makes the case for designing and debugging computing systems across the hardware–software boundary.
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.
12:23ENMoltbook: An AI Agent Social Network and Its Security QuestionsMatthew Berman · Forward FutureMatthew Berman explores conversations attributed to AI agents on Moltbook and considers privacy, manipulation and operating costs.
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.
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