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スライド1:01EN
Matthew Berman· 2026年1月31日Moltbook, AI Agents and the Appearance of Private PlansMatthew Berman · Forward FutureMatthew Berman reacts to a post on an agent-oriented social network and questions what AI-to-AI conversations might mean.AI agentsMulti-agent systemsSocial Media+1
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
Matthew 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
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
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
スライド 4 枚11:31EN
Matthew Berman· 2026年1月29日Exploring Google’s Project Genie: Interactive Worlds with Genie 3AlexAlex tests generated racetracks, alien structures and cloud landscapes, showing both the prototype’s creative options and its control limitations.World modelsGenerative media画像と動画+2
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
1:23EN
Matthew Berman· 2026年1月28日An xAI Engineer's Podcast Remarks and DepartureMatthew Berman · Forward FutureMatthew Berman reviews a former engineer's comments about data centers, AI agents and workplace incentives, while asserting a link to his departure.AI startups & small teamsAI agentsインフラとデプロイ
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
スライド 4 枚21:12EN
Matthew Berman· 2026年1月26日Clawdbot as a Personal AI Assistant: Workflows, Costs and RisksMatthew Berman · Forward FutureMatthew Berman demonstrates a local agent connected to messaging, cloud services and models, and reports what worked, failed and cost more than expected.Personal agentsエージェント工学Local inference+2
スライド 2 枚0:24EN
Matthew Berman· 2026年1月26日Matthew Berman Checks His Clawdbot Token CostsMatthew Berman · Forward FutureA short usage check reveals unexpectedly high model spending over two days.AI cost & performancePersonal agentsInference
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 2 枚0:22EN
Matthew Berman· 2026年1月22日OpenAI’s 2026 Plan to Test Ads in ChatGPTMatthew Berman · Forward FutureMatthew Berman highlights OpenAI’s planned ad test and a mockup showing a sponsored product beneath a recipe response.OpenAIMonetizationプロダクトと UX
スライド1:08EN
Matthew 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
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
1:13:24EN
20VC with Harry Stebbings· 2026年1月19日ポッドキャスト · 2 人Winston Weinberg on Building Harvey, Enterprise AI and the Art of Dealsゲスト Winston Weinberg · ホスト Harry StebbingsHarvey’s co-founder explains how he thinks about founder focus, enterprise adoption, hiring and negotiating while legal AI changes.エンタープライズ AICompany BuildingFounders+2
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
スライド1:52:02EN
Matthew Berman· 2026年1月17日Forward Future Live: AI Engineering, Enterprise Agents, Mathematics and AdoptionMatthew Berman, Nick Wentz, Austen Allred, Aaron Levie, Tudor Achim, Ara Kharazian · Forward FutureAusten Allred, Aaron Levie, Tudor Achim and Ara Kharazian join Matthew Berman and Nick Wentz to discuss how AI is changing work and how to measure its use.AI Adoptionコーディングエージェントエンタープライズ AI+2
スライド 2 枚1:02EN
Matthew Berman· 2026年1月16日A Speed-Reading Display That Shows One Word at a TimeMatthew Berman · Forward FutureA short visual demonstration presents words in rapid succession at increasing displayed speeds.ProductivityEducation
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