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2,252 件
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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
1:20:02EN
20VC with Harry Stebbings· 2026年2月9日ポッドキャスト · 2 人Anish 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.Venture Capitalエンタープライズ AIAI agents+2
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
0:47EN
MBMatthew Berman· 2026年2月7日GPT-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.AI for scienceエージェント
スライド 3 枚1:24:44EN
MBMatthew 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
1:57:56EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月5日ポッドキャストA 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.コーディングエージェントAgent orchestrationコンテキストエンジニアリング+3
1:37:14EN
20VC with Harry Stebbings· 2026年2月5日ポッドキャスト · 3 人Software 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.SaaSInvestingVenture Capital+2
スライド 5 枚22:31EN
MBMatthew 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
1:15:08EN
20VC with Harry Stebbings· 2026年2月2日ポッドキャスト · 2 人Oren 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.Venture CapitalInvestingAI Strategy+2
1:04:51EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月1日ポッドキャスト125 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.モデルと学習AI for scienceData quality & curation+3
スライド 5 枚1:22:49EN
JSJane Street· 2026年1月31日Bryan 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.Software engineeringインフラとデプロイオブザーバビリティと信頼性+2
4:25:13EN
Lex Fridman· 2026年1月31日ポッドキャストThe 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.モデルと学習Scaling LawsOpen-weight models+3
スライド12:23EN
MBMatthew Berman· 2026年1月31日Moltbook: 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.エージェントAI securityAI Safety+1
30:47EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年1月29日ポッドキャスト · 2 人Embryos 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.Company BuildingScience CommunicationFirst Principles+1
1:03:00EN
Unsupervised Learning: With Jacob Effron· 2026年1月29日ポッドキャストA 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.モデルと学習Reinforcement LearningAGI Timelines+3
1:18:04EN
20VC with Harry Stebbings· 2026年1月29日ポッドキャスト · 3 人Brex, 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.Venture CapitalAI cost & performanceInvesting+2
1:39:17EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月29日ポッドキャストAI 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.企業と戦略AI Regulation安全性とガバナンス+3
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
1:06:37EN
20VC with Harry Stebbings· 2026年1月26日ポッドキャスト · 2 人Legora CEO Max Junestrand on Legal AI, Growth and Competitionゲスト Max Junestrand · ホスト Harry StebbingsThe founder discusses enterprise adoption, model choices and pricing, as well as his predictions for legal work and the structure of the market.エンタープライズ AICompany BuildingProduct Strategy+1
2:12:31EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月25日ポッドキャストMost Caffeine users have no idea they are on a blockchainホスト Nathan LabenzDFINITY's Dominic Williams tells Nathan Labenz why a tamper-proof, unstoppable cloud is the right backend for AI that writes software from a chat box.インフラとデプロイコーディングエージェント安全性とガバナンス+3
2:25:10EN
Cognitive Revolution "How AI Changes Everything"· 2026年1月22日ポッドキャストFine-Tuning Isn't Dead — But It Turned a Helpful Model Evilホスト Nathan LabenzNathan Labenz on why prompting replaced fine-tuning for most work, what emergent misalignment actually showed, and how he is thinking about jobs, UBI, and AGI.モデルと学習ファインチューニング安全性とガバナンス+3
1:23:12EN
20VC with Harry Stebbings· 2026年1月22日ポッドキャスト · 3 人Venture Returns, OpenAI Litigation and the Economics of AI Growthゲスト Jason Lemkin, Rory O’Driscoll · ホスト Harry StebbingsHarry Stebbings, Jason Lemkin and Rory O’Driscoll debate public software prices, research talent, AI advertising and late-stage venture valuations.Venture CapitalSaaSAI Strategy+2
スライド1:08EN
MBMatthew Berman· 2026年1月22日Will AI Change What Programmers Do?Matthew Berman · Forward FutureMatthew Berman responds to Ryan Dahl's prediction about writing code and argues that systems thinking will remain important.Future of WorkコーディングエージェントSoftware engineering
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