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177 件
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2:12:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月19日ポッドキャストSteve Newman’s fifteen-app stack exists so he only has to look at one screenホスト 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.コーディングエージェントPersonal agentsWorkflow automation+3
57:28EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年4月17日ポッドキャスト · 2 人Copying One ServiceNow App with a Language Model Costs Ten Times as Muchホスト Sarah Guo, Elad GilBill McDermott tells Sarah Guo why the SaaS apocalypse fails a cost test, why models still cannot close a case, and how agents are already doing most of ServiceNow’s customer-service work.企業と戦略エンタープライズ AIWorkflow automation+3
2:31:27EN
Cognitive Revolution "How AI Changes Everything"· 2026年4月15日ポッドキャストAn AI store manager, a 2.6-star rating, and a constitution nobody has to keepホスト Nathan LabenzA live Cognitive Revolution episode puts PCB layout, AI constitutions, and San Francisco’s first AI-run grocery on the same morning clock.エージェント安全性とガバナンスReinforcement Learning+3
スライド 3 枚27:15EN
Matthew Berman· 2026年3月31日Meta-Harness: Searching for Better AI Agent InfrastructureMatthew Berman · Forward FutureMatthew Berman reviews a paper on using a coding agent to iteratively improve model harnesses and discusses its experimental limits.Harness engineeringエージェント工学評価(Evals)+1
58:27EN
Sequoia Capital· 2026年3月24日ポッドキャストEven a dumber AI can win science if it never leaves the labGinkgo Bioworks CEO Jason Kelly tells Sequoia why autonomous labs, not smarter models, will change how experimental science gets done.エージェントAI for scienceエージェント工学+3
1:40:46EN
Cognitive Revolution "How AI Changes Everything"· 2026年3月22日ポッドキャストGive an agent a thousand tools and it will pick the wrong bladeホスト Nathan LabenzComposio CTO Karan Vaidya on the tool harness that discovers, authenticates, sandboxes, and rewrites integrations so agents can do whole jobs without drowning in context.MCP とツールMCPエージェント工学+3
1:06:31EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年3月20日ポッドキャスト · 2 人Andrej Karpathy Hasn't Typed a Line of Code Since Decemberホスト Sarah Guo, Elad GilOn No Priors, the OpenAI cofounder and former Tesla AI director describes the loopy era of coding agents, AutoResearch, and why the bottleneck is now the human.コーディングエージェントAutoresearchAgent orchestration+3
スライド 3 枚11:59EN
Matthew Berman· 2026年3月11日How Claude Identified a Benchmark and Retrieved Its AnswersMatthew Berman · Forward FutureMatthew Berman examines Anthropic's report on BrowseComp contamination, evaluation-aware behavior, and the difficulty of keeping web-based tests reliable.評価(Evals)エージェント工学Anthropic+2
40:56EN
Sequoia Capital· 2026年3月10日ポッドキャストFour of the Top Five Defense Primes Still Run Hardware Tests on PowerPointNominal’s cofounders argue that hardware never got the last twenty years of software infrastructure, and that physical AI will stall until test data lives in one place.インフラとデプロイData quality & curationオブザーバビリティと信頼性+3
スライド 9 枚40:00EN
Matthew Berman· 2026年2月24日How Matthew Berman Built an OpenClaw Workflow for His TeamMatthew Berman · Forward FutureA tour of sponsorship triage, CRM, meeting notes, security, scheduling, memory and backup after a month of heavy use.Personal agentsWorkflow automationエージェント工学+2
54:26EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月22日ポッドキャストTen 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.コーディングエージェントReinforcement Learningエージェント工学+3
1:34:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月13日ポッドキャストA $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.エージェントエージェント工学Multi-agent systems+3
スライド 2 枚0:58EN
Matthew Berman· 2026年2月12日Matthew Berman’s OpenClaw Setup for Personal and Business WorkMatthew Berman · Forward FutureA brief tour of the models, information sources, and skills behind Berman’s personal OpenClaw system.AI agentsAgent skillsエージェント工学
3:15:52EN
Lex Fridman· 2026年2月11日ポッドキャスト · 2 人The 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.エージェントPersonal agentsエージェント工学+3
44:46EN
Sequoia Capital· 2026年2月10日ポッドキャストA 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.オープンソースとコミュニティRL environments & simulators評価(Evals)+3
1:18:49EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月8日ポッドキャストIf 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.セキュリティと安全性AI securityエージェント工学+3
スライド 3 枚1:24:44EN
Matthew Berman· 2026年2月7日Forward 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.インフラとデプロイエンタープライズ AIAI research+1
スライド 5 枚22:31EN
Matthew Berman· 2026年2月5日Matthew 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.エージェントエージェント工学セキュリティと安全性+1
51:56EN
Sequoia Capital· 2026年2月3日ポッドキャストInsurance 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.企業と戦略エンタープライズ AIエージェント工学+3
0:24EN
Matthew Berman· 2026年1月30日An AI Agent Calls Its Creator and Uses a ComputerMatthew Berman, Alex Finn · Forward FutureMatthew Berman reacts to a clip in which Alex Finn describes an unexpected call and computer activity from an agent named Henry.Personal agentsComputer useエージェント工学
48:03EN
Sequoia Capital· 2026年1月27日ポッドキャストCoding Will Be Solved. The Bottleneck Is Saying What You WantWarp founder Zach Lloyd tells Sequoia's Sonya Huang why a rebuilt terminal became the lucky form factor for coding agents, and why he stopped subsidizing tokens.コーディングエージェントエージェント工学Developer productivity+3
39:47EN
Sequoia Capital· 2026年1月21日ポッドキャストThe Context at Step 14 Isn't in the CodeLangChain cofounder Harrison Chase on why long-horizon agents finally work—and why traces, harnesses, and first-draft workflows matter more than scaffolding.エージェントコンテキストエンジニアリングエージェント工学+3
2:29:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月18日ポッドキャストTwelve hooks and thirty files: Daniel Miessler’s personal OS on Claude Codeホスト 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.コーディングエージェントエージェント工学コンテキストエンジニアリング+3
1:40:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月14日ポッドキャストReasoning Models Just Made the Other 80–90% of Enterprise Data Usableホスト Nathan LabenzSnowflake VP of AI Baris Gultekin on text-to-SQL, RAG, agent design, and why inference has to run next to governed data.企業と戦略検索拡張生成(RAG)エンタープライズ AI+3
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