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40 件
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スライド 6 枚25:50EN
MBMatthew Berman· 2026年10月24日Kimi K3.1 Pro Tested: Strong 3D Demos, Uneven Results and Competitive PricingMatthew Berman · Forward FutureMatthew Berman tests the open-weight model on coding, 3D rendering and visual explanations, then compares benchmark results and prices.Open-weight modelsBenchmarksAI cost & performance+1
スライド 2 枚32:20EN
MBMatthew Berman· 2026年10月23日Who Is Local AI For? The Costs, Trade-offs and a Hybrid FutureMatthew Berman · Forward FutureMatthew Berman weighs data control and independence against hardware cost, setup complexity and inference speed.Local inferenceOpen-weight modelsAI cost & performance+1
スライド 5 枚12:14EN
MBMatthew Berman· 2026年10月14日Gemini 4 Argon Tested: 3D Demos, a Spreadsheet Prototype and Benchmark ResultsMatthew Berman · Forward FutureMatthew Berman tests Google’s model on games and visual projects, then compares reported coding and agent benchmarks.GeminiBenchmarksコーディングエージェント+1
スライド 5 枚10:36EN
MBMatthew Berman· 2026年10月13日Meta Muse Wonder Tested: Strong Benchmarks, Mixed Demos and Quota FrictionMatthew Berman · Forward FutureMatthew Berman tests Meta’s models on browser demos and reviews their published benchmark scores, availability and cost.モデルと学習BenchmarksAI cost & performance+1
スライド 2 枚17:37EN
MBMatthew Berman· 2026年10月10日AI Coding, Game Mashups and the Value of Human TasteMatthew Berman · Forward FutureMatthew Berman explains decompilation and game mashups, then argues that iterative AI coding changes software and creativity.コーディングエージェントSoftware engineeringCreativity+1
スライド 5 枚21:29EN
MBMatthew Berman· 2026年10月7日Mistral Large 4 Preview: European Open Weights, Cyber Benchmarks and Setup FrictionMatthew Berman · Forward FutureMatthew Berman reviews the model’s reported specifications and benchmarks, then tests it in an agent coding workflow.Open-weight modelsBenchmarksAI security+1
スライド 5 枚25:39EN
MBMatthew Berman· 2026年10月7日Personal AI Assistants in Practice: Briefs, Family Logistics, Email and BillsMatthew Berman · Forward FutureMatthew Berman describes how he connects assistants to everyday workflows and sets approval rules for consequential actions.Personal agentsWorkflow automationProductivity+1
スライド 4 枚10:00EN
MBMatthew Berman· 2026年9月30日OpenAI DevDay: Dots, Faster Inference, Codex and ChatGPT SpaceMatthew Berman · Forward FutureMatthew Berman reviews the event’s personal assistant, model, developer tooling and collaboration announcements.OpenAIPersonal agentsコーディングエージェント+1
スライド 5 枚16:59EN
MBMatthew Berman· 2026年9月29日Claude Sonnet 5.5 Tested: Games, 3D Scenes and a Lower-Cost Opus AlternativeMatthew Berman · Forward FutureMatthew Berman demonstrates generated projects and compares Sonnet’s reported benchmark scores and API prices with Opus.AnthropicコーディングエージェントBenchmarks+1
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 4 枚10:38EN
MBMatthew Berman· 2026年9月24日Jev Use Cases: Fast Decisions for Search, Email and Dynamic InterfacesMatthew Berman · Forward FutureMatthew Berman explains a decision-oriented AI tool and shows projects that use many low-latency classifications.Workflow automationAI interface designStructured outputs+1
スライド 5 枚16:57EN
MBMatthew Berman· 2026年9月22日Grok 4.7 Compared: Coding, Knowledge Work and Cost per TaskMatthew Berman · Forward FutureMatthew Berman examines reported benchmarks and prices while noting missing competitors and limited hands-on testing.BenchmarksAI cost & performanceコーディングエージェント+1
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 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
スライド 2 枚0:18EN
MBMatthew Berman· 2026年2月19日Gemini 3.1 Pro’s Pelican and Frog SVG ComparisonsMatthew Berman · Forward FutureMatthew Berman reacts to two side-by-side animated SVG examples.GeminiGenerative media
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 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 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 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
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