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1,112 件
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スライド 2 枚1:37EN
Matthew Berman· 2026年2月18日Matthew Berman’s OpenClaw Knowledge BaseMatthew Berman · Forward FutureA personal agent captures links, follows related sources and makes saved material searchable in natural language.Personal agentsRAG とナレッジWorkflow automation+1
1:34:29EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月18日ポッドキャストThree 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.モデルと学習Reasoning & test-time computeAI research+3
スライド 9 枚11:49EN
Matthew Berman· 2026年2月17日Matthew Berman Reviews Claude Sonnet 4.6: Benchmarks, Computer Use and SafetyMatthew Berman · Forward FutureA launch-day overview examines Anthropic’s reported knowledge-work and agent results, along with prompt-injection and capability evaluations.AnthropicFoundation ModelsBenchmarks+2
スライド 10 枚33:44EN
Matthew Berman· 2026年2月17日How Matthew Berman Uses OpenClaw for a Personal AssistantMatthew Berman · Forward FutureA tour of customized CRM, meeting, research and security workflows, along with the limits of automation and the need for backups.Personal agentsWorkflow automationAgent memory+2
2:25:42EN
Cognitive Revolution "How AI Changes Everything"· 2026年2月14日ポッドキャストThe 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.セキュリティと安全性安全性とガバナンスAGI(汎用人工知能)+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
スライド 2 枚20:12EN
Matthew Berman· 2026年2月12日Matthew 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.AI StrategyコーディングエージェントCareer Growth+1
スライド 2 枚0:39EN
Matthew Berman· 2026年2月11日A Personal Knowledge Base for Saved Articles and VideosMatthew Berman · Forward FutureMatthew Berman demonstrates saving links and querying a knowledge base, and shares a prompt for building a retrieval system.RAG とナレッジPersonal agentsWorkflow automation
スライド0:51EN
Matthew Berman· 2026年2月11日Using 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.エージェントContent Strategy
0:36EN
Matthew Berman· 2026年2月10日SpaceX's Shift Toward a Lunar CityMatthew Berman · Forward FutureMatthew Berman summarizes Elon Musk's 2026 statement that the Moon would take priority over Mars.
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
Matthew 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
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
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
スライド0:57EN
Matthew Berman· 2026年2月3日Tesla Plans to End Model S and X Production as It Turns Factory Space to OptimusMatthew Berman · Forward FutureMatthew Berman discusses the retirement of two flagship vehicles and Tesla’s ambitions for humanoid robots.RoboticsProduct StrategyAutonomous Systems
スライド0:32EN
Matthew Berman· 2026年2月1日A Prompt for Reducing Familiar AI Writing PatternsMatthew Berman · Forward FutureMatthew Berman discusses a writing checklist and a prompt intended to reduce repetitive AI prose.Prompting & in-context learningCommunicationGenerative media
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
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
1:39:17EN
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
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