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40 件
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スライド 2 枚1:14EN
MBMatthew Berman· 2026年9月29日What Matthew Berman’s Team Built With Sonnet 5.5Matthew Berman · Forward FutureA short showcase presents an ocean simulation, game prototypes, city rendering and a LEGO design tool.Generative mediaコーディングエージェント
スライド 3 枚17:15EN
MBMatthew Berman· 2026年8月28日The Hugging Face Incident: AI Evaluation, Sandbox Escape and Reward HackingMatthew Berman · Forward FutureMatthew Berman explains the reported OpenAI evaluation incident and the security and incentive failures it exposed.AI SafetyAI securityCybersecurity+1
スライド 4 枚9:15EN
MBMatthew Berman· 2026年8月17日Six Open-Source Projects for Local AI, Agents, and 3D DesignMatthew Berman · Forward FutureMatthew Berman tours tools for running and training models, giving agents new skills, coordinating work, browsing, and generating 3D meshes.Open-source ecosystemsAgent skillsLocal inference+2
スライド 5 枚52:29EN
MBMatthew Berman· 2026年7月24日Claude Opus 5: Benchmarks, Cost per Task, and Early ImpressionsMatthew Berman · Forward FutureMatthew Berman reacts to the model launch, examines reported benchmark and pricing data, and explains why the cost of completing a task matters more than token price alone.AnthropicBenchmarksAI cost & performance+2
スライド 3 枚18:34EN
MBMatthew Berman· 2026年7月7日Model Routing for AI Coding: A Worked Cost ExampleMatthew Berman · Forward FutureMatthew Berman separates planning, implementation and review to explain how different models can fit different tasks.AI cost & performanceエージェント工学Developer productivity
1:03EN
MBMatthew Berman· 2026年5月9日Why EVE Online Is an Interesting Environment for AI ResearchMatthew Berman · Forward FutureMatthew Berman explains why the game's persistent economy and player alliances may offer a demanding test of long-term planning.エージェントReinforcement LearningMulti-agent systems+1
スライド 3 枚11:59EN
MBMatthew 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
スライド 4 枚10:17EN
MBMatthew Berman· 2026年2月19日Anthropic Subscription Credentials and OpenClaw: A 2026 Policy DisputeMatthew Berman · Forward FutureMatthew Berman explains why restrictions on Claude subscription OAuth credentials prompted him to change his OpenClaw model setup.AnthropicPersonal agentsAI cost & performance+1
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
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
スライド 2 枚1:02EN
MBMatthew 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
スライド1:36EN
MBMatthew Berman· 2026年1月11日Why Humanoid Robots Can Move Beyond Human LimitsMatthew Berman · Forward FutureMatthew Berman explains why joints that rotate beyond human ranges could help robots work in factories.RoboticsFuture of Work
スライド 2 枚5:13EN
MBMatthew Berman· 2026年1月6日Testing Meta’s SAM Audio: Isolating Voices and InstrumentsMatthew Berman · Forward FutureMatthew Berman demonstrates prompt-based sound separation and effects in a Meta-partnered video.Multimodal AIGenerative mediaプロダクトと UX
スライド 3 枚5:55EN
MBMatthew Berman· 2026年1月2日Turning Images into 3D Models with Meta SAM 3DMatthew Berman · Forward FutureMatthew Berman demonstrates object extraction, body reconstruction, and a 3D-printing workflow in Meta's SAM Playground.Computer VisionGenerative mediaOpen-source ecosystems
スライド 2 枚1:11EN
MBMatthew Berman· 2025年11月18日Gemini 3's Launch: Benchmarks, Antigravity, and AgentsMatthew Berman · Forward FutureMatthew Berman summarizes Google's November 2025 model launch and its developer and assistant demos.GeminiBenchmarksコーディングエージェント+1
スライド 2 枚10:45EN
MBMatthew Berman· 2025年11月13日World Labs Marble: Generate and Edit Navigable 3D WorldsMatthew Berman · Forward FutureMatthew Berman demos Marble’s multimodal inputs, scene editing and 3D navigation, including an attempt to recreate his office from one image.World modelsGenerative mediaMultimodal AI
スライド 4 枚18:31EN
MBMatthew Berman· 2025年8月27日Testing Nano Banana: Gemini 2.5 Flash Image EditingMatthew Berman · Forward FutureMatthew Berman tests character consistency, image edits, generation, visual sequences and common failure cases.Generative mediaGeminiMultimodal AI
スライド 3 枚7:33EN
MBMatthew Berman· 2025年4月4日Ace Computer-Use Agent: Fast Desktop and Browser DemonstrationsMatthew Berman · Forward FutureMatthew Berman reviews General Agents’ examples and reported click accuracy and latency, while noting he has not yet tested Ace himself.Computer useエージェントBenchmarks
スライド 3 枚5:27EN
MBMatthew Berman· 2025年1月29日Ways to Try DeepSeek R1: Hosted and Local Distilled ModelsMatthew Berman · Forward FutureMatthew Berman demonstrates DeepSeek chat, Groq’s hosted distill and a local model in LM Studio.Local inferenceOpen-weight modelsQuantization
スライド2:57EN
MBMatthew Berman· 2025年1月14日ChatGPT Tasks: Scheduled Reminders at the 2025 LaunchMatthew Berman · Forward FutureMatthew Berman explains the initial beta of scheduled and recurring ChatGPT tasks, and places it in the context of AI assistants.OpenAIPersonal agentsWorkflow automation
スライド 2 枚30:29EN
MBMatthew Berman· 2025年1月3日How Researchers Think o1-Style Reasoning Models WorkMatthew Berman · Forward FutureMatthew Berman explains a research survey of policy initialization, rewards, search and reinforcement learning, and the open questions behind reasoning models.Reinforcement Learningモデルと学習AI research+1
スライド 5 枚19:06EN
MBMatthew Berman· 2024年12月28日Building Effective AI Agents: Patterns, Trade-offs and EvaluationMatthew Berman · Forward FutureMatthew Berman discusses Anthropic’s guide to workflows and agents, adding examples from his own projects.エージェント工学エージェント評価(Evals)+1
スライド 3 枚13:34EN
MBMatthew Berman· 2024年9月23日Sam Altman’s “Intelligence Age”: Superintelligence, Scaling and WorkMatthew Berman · Forward FutureMatthew Berman reads Altman’s 2024 essay and discusses its predictions for AI assistants, education, infrastructure and jobs.AGI(汎用人工知能)Scaling Lawsエージェント+1
スライド0:54EN
MBMatthew Berman· 2024年9月16日OpenAI’s o1 Preview: A First Look at Longer ReasoningMatthew Berman · Forward FutureMatthew Berman introduces the o1-preview and o1-mini models and tries a Python game prompt.モデルと学習Inference
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