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1,275 件
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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.
スライド1:12EN
Matthew Berman· 2026年2月9日The Viral Super Bowl Device Ad That OpenAI DeniedMatthew Berman · Forward FutureMatthew Berman examines a clip alleged to show an OpenAI device, while the company says the supposed leak is fake.Product DesignOpenAIGenerative media
0:40EN
Matthew Berman· 2026年2月9日A Humorous Comparison of Opus 4.6 and GPT-5.3-CodexMatthew Berman · Forward FutureMatthew Berman caricatures two coding assistants as taking very different routes to a successful result.コーディングエージェント開発ワークフローとテストHuman-AI Collaboration
スライド0:50EN
Matthew Berman· 2026年2月8日GPU Prices, Memory Shortages and the Possibility of Older Nvidia CardsMatthew Berman · Forward FutureMatthew Berman discusses 2026 GPU price pressure and a possible return to older graphics generations.GPU programming & kernelsインフラとデプロイ
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
スライド 2 枚0:53EN
Matthew Berman· 2026年2月6日Claude Opus 4.6: Coding Claims, Agent Evaluation, and a Longer ContextMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s February 2026 model launch and a chart of AI task horizons.Foundation Modelsコーディングエージェント評価(Evals)+1
スライド 4 枚9:31EN
Matthew Berman· 2026年2月6日GPT-5.3-Codex: Coding Agents, Speed and Computer Use at LaunchMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s February 2026 demonstrations and benchmarks, with a closer look at what the reported speedup and scores do—and do not—show.コーディングエージェントBenchmarksComputer use+2
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 8 枚14:20EN
Matthew Berman· 2026年2月5日Claude Opus 4.6: Longer Context, Agent Teams and Early BenchmarksMatthew Berman · Forward FutureMatthew Berman reviews Anthropic's February 2026 model launch, its agent features, long-context results and historical pricing.AnthropicコーディングエージェントAgent orchestration+2
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
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
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