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24 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 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 4 枚31:59EN
MBMatthew Berman· 2026年9月23日Claude Opus 5.5: Benchmarks, Cost and Anthropic’s Approach to PacingMatthew Berman, Thariq · Forward FutureMatthew Berman reviews the release and speaks with Anthropic’s Thariq about daily workflows, evaluation and agent harnesses.AnthropicBenchmarksAI cost & performance+2
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 8 枚1:59:37EN
MBMatthew Berman· 2026年9月22日Opus 5.5 and GPT-6 Sol and Luna: A Launch-Day LivestreamMatthew Berman, Thariq Shihipar, Alex, Brian · Forward FutureMatthew Berman interviews Anthropic’s Thariq Shihipar, shows early demos and then reviews two OpenAI models announced during the stream.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 5 枚12:31EN
MBMatthew Berman· 2026年9月18日Jev's Fast Decisions: Demos, Tradeoffs and Reliability ClaimsMatthew Berman · Forward FutureMatthew Berman explores a decision-oriented AI model through routing, simulated worlds, chess and game-control examples.AI agentsAI cost & performance評価とオブザーバビリティ+1
スライド 5 枚16:50EN
MBMatthew Berman· 2026年9月3日Gemini 3.8 Flash: Benchmarks, Cost and Hands-On Coding TestsMatthew Berman · Forward FutureMatthew Berman compares Google's September 2026 model announcement with several practical visual and web-building examples.GeminiBenchmarksAI cost & performance+2
スライド 5 枚20:46EN
MBMatthew Berman· 2026年8月26日Open-Weight AI Models: Token Share, Spending and Strategic TradeoffsMatthew Berman · Forward FutureMatthew Berman examines a Vercel AI Gateway snapshot and argues that model usage and spending can tell very different stories.Open-weight modelsAI cost & performanceAI Strategy+2
44:28EN
MBMatthew Berman· 2026年8月24日Tibo on Coding Agents, Faster AI and OpenAI’s Product DirectionMatthew Berman, Thibault Sottiaux · Forward FutureOpenAI’s Tibo discusses agent interfaces, usage resets, model efficiency and the trade-offs behind faster inference.コーディングエージェントエージェント工学AI cost & performance+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 4 枚27:13EN
MBMatthew Berman· 2026年7月21日Kimi K3 and the Debate Over Open-Weight AIMatthew Berman · Forward FutureMatthew Berman examines model economics, competition and security arguments after Moonshot AI’s Kimi K3 announcement.Open-weight modelsAI cost & performanceAI Regulation+2
1:52EN
MBMatthew Berman· 2026年7月19日Anthropic, Compute Capacity and the Competition for AI SubscribersMatthew Berman · Forward FutureMatthew Berman weighs a claimed compute constraint against model quality, subscription limits and the possibility of future self-improvement.AI cost & performanceインフラとデプロイAI Strategy+1
スライド 5 枚1:00:47EN
MBMatthew Berman· 2026年7月15日AI News Live: A Codex Keyboard, Open Models and Agent Safety ResearchMatthew Berman, Alex, Brian · Forward FutureMatthew Berman, Alex and Brian discuss new tools, model costs and a research report, separating initial impressions from verified results.コーディングエージェントOpen-weight modelsAI 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
スライド 6 枚2:34:17EN
MBMatthew Berman· 2026年5月28日Matthew Berman Tests Claude Opus 4.8 and Dynamic Workflows LiveMatthew Berman · Forward FutureA launch-day walkthrough compares Anthropic’s reported benchmarks with informal coding experiments and a multi-agent website redesign.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 5 枚17:03EN
MBMatthew Berman· 2026年5月27日DeepSWE: Testing Coding Agents on Longer Software TasksMatthew Berman · Forward FutureMatthew Berman reviews Datacurve’s benchmark, its verifier audit and the tradeoffs of comparing models under a shared harness.Benchmarksコーディングエージェント評価(Evals)+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 5 枚22:31EN
MBMatthew 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 3 枚15:45EN
MBMatthew Berman· 2025年4月18日AI News: Gemini 2.5 Flash, OpenAI Models, Claude Research and Kling 2.0Matthew Berman · Forward FutureMatthew Berman reviews a week of 2025 model releases, research tools and agent announcements, including historical price and benchmark comparisons.モデルと学習AI cost & performanceエージェント
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1:30:24EN
MBMatthew Berman· 2024年8月30日Daniel Miessler and Matthew Berman on AI Privacy, Coding, and Generated WorldsMatthew Berman, Daniel Miessler, Melissa, Alex · Forward FutureA 2024 live conversation explores Recall, open models, AI-assisted programming, a Doom simulator and questions about security, energy and employment.エージェントセキュリティと安全性コーディングエージェント+2
スライド 3 枚51:11EN
MBMatthew Berman· 2024年3月22日Inside Groq’s LPU: Compilers, Chip Networks and Fast InferenceMatthew Berman, Andrew Ling, Igor Arsovski · Forward FutureGroq engineers Andrew Ling and Igor Arsovski explain their hardware and software design in a sponsored 2024 interview.インフラとデプロイInferenceAI cost & performance