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29 件
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スライド 5 枚10:36EN
Matthew 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
Matthew 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7:26EN
Matthew Berman· 2026年9月23日GPT-6 Sol and Luna: Price and Benchmark Trade-offsMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s September 2026 launch, comparing API prices and reported agent benchmarks with larger models.OpenAIAI cost & performanceBenchmarks+2
スライド 5 枚12:31EN
Matthew 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0:48EN
Matthew Berman· 2026年8月25日Matthew Berman on Earning From Idle Mac Compute With DarkbloomMatthew Berman · Forward FutureA proposed network of Apple Silicon Macs could serve AI inference, but the earnings shown are projections that depend on hardware, availability and demand.Distributed training & inferenceInferenceLocal inference+1
スライド 2 枚0:40EN
Matthew Berman· 2026年8月2日Enabling Max Reasoning Effort in CodexMatthew Berman · Forward FutureMatthew Berman shows an August 2026 settings menu for exposing Max reasoning effort and explains his preference for Luna.コーディングエージェントAI cost & performanceプロダクトと UX
1:52EN
Matthew 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 7 枚12:12EN
Matthew Berman· 2026年7月18日Kimi K3: Coding Benchmarks, Cost and the Open-Weight AI RaceMatthew Berman · Forward FutureMatthew Berman examines Kimi K3’s early benchmark results, its cost per task and a Rubik’s Cube simulator, while weighing their limits.Open-weight modelsBenchmarksAI cost & performance+2
スライド1:11EN
Matthew Berman· 2026年4月24日Anthropic’s Coding Flywheel and the Compute ConstraintMatthew Berman · Forward FutureMatthew Berman sketches a proposed feedback loop linking coding models, enterprise revenue, data and compute, then argues that capacity could slow it.AnthropicAI cost & performanceAI Strategy+1
スライド1:09EN
Matthew Berman· 2026年3月18日The Benefits and Tradeoffs of Running AI Models LocallyMatthew Berman · Forward FutureMatthew Berman weighs the privacy, control and costs of local models against technical complexity and performance tradeoffs.Local inferenceOpen-weight modelsAI cost & performance
スライド 4 枚10:17EN
Matthew 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 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
スライド 2 枚1:38EN
Matthew Berman· 2025年12月29日NVIDIA’s Groq Licensing Deal and the Inference MarketMatthew Berman · Forward FutureMatthew Berman discusses why NVIDIA licensed Groq’s inference technology and hired members of its team.SemiconductorsInferenceAI cost & performance+1
スライド 4 枚1:58EN
Matthew Berman· 2025年12月12日GPT-5.2 at Launch: Benchmark Results, Demos and API PricingMatthew Berman · Forward FutureMatthew Berman reviews OpenAI’s December 2025 announcement, highlighting selected evaluations, product demos and the cost increase over GPT-5.1.OpenAIBenchmarksAI cost & performance+2
スライド 4 枚10:27EN
Matthew Berman· 2025年11月24日Claude Opus 4.5: Launch Benchmarks, Pricing and Tool UseMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s November 2025 release, its coding benchmarks and developer tools, while comparing it with contemporary models.BenchmarksコーディングエージェントMCP とツール+1
スライド 2 枚1:02EN
Matthew Berman· 2025年10月31日Inside a Cerebras Data Center in Oklahoma CityMatthew Berman · Forward FutureMatthew Berman tours the facility and explains its wafer-scale chips, racks and cooling system.InferenceインフラとデプロイAI cost & performance
スライド 2 枚0:58EN
Matthew Berman· 2025年9月26日Microsoft’s Nebius GPU Infrastructure AgreementMatthew Berman · Forward FutureIn a sponsored video, Matthew Berman discusses a 2025 infrastructure agreement and Nebius’s AI services.インフラとデプロイAI cost & performanceモデルと学習
スライド 5 枚13:02EN
Matthew Berman· 2025年5月22日Claude 4 at Launch: Coding Agents, Benchmarks and Claude CodeMatthew Berman · Forward FutureMatthew Berman reviews Anthropic’s May 2025 Opus 4 and Sonnet 4 announcement, focusing on long tasks, tools, benchmarks and developer integrations.AnthropicコーディングエージェントBenchmarks+2
スライド 3 枚11:57EN
Matthew Berman· 2025年5月6日OpenAI’s 2025 Restructuring: Nonprofit Control and a Public Benefit CorporationMatthew Berman · Forward FutureMatthew Berman examines OpenAI’s May 2025 plan to retain nonprofit control while converting its existing for-profit arm, and discusses funding pressures and Elon Musk’s objections.OpenAI安全性とガバナンスCompany Building+2
スライド 5 枚8:52EN
Matthew Berman· 2025年1月21日Industry Reactions to DeepSeek R1’s 2025 ReleaseMatthew Berman · Forward FutureMatthew Berman reviews early reactions to DeepSeek R1, from open-weight reasoning models and local hardware to benchmark results and API pricing.Open-weight modelsReasoning & test-time computeBenchmarks+2
スライド6:16EN
Matthew Berman· 2024年12月8日Running Stable Diffusion 3.5 with ComfyUI on a Cloud GPUMatthew Berman · Forward FutureIn a Vultr-sponsored 2024 tutorial, Matthew Berman sets up a GPU instance and generates images with ComfyUI. Licensing, security, and prices require attention beyond the demonstration.Generative mediaインフラとデプロイOpen-weight models+1
スライド 4 枚12:50EN
Matthew Berman· 2024年11月2日Comparing Three Local Coding Models on Games and Programming ChallengesMatthew Berman · Forward FutureMatthew Berman runs DeepSeek-Coder-V2 Lite, Yi-Coder 9B, and Qwen2.5-Coder 7B on a sponsored workstation. Their results vary by task and include manual corrections.Open-weight models評価(Evals)Software engineering+2
スライド 6 枚11:35EN
Matthew Berman· 2024年9月12日ARK Invest’s $24 Trillion Humanoid Robot ScenarioMatthew Berman · Forward FutureMatthew Berman examines the assumptions behind ARK’s 2024 household and manufacturing robotics estimates.RoboticsAI cost & performanceFuture of Work
スライド 5 枚9:58EN
Matthew Berman· 2024年8月2日Abstract AI: A Proposed Routing Layer for Language ModelsMatthew Berman · Forward FutureMatthew Berman outlines a startup idea for choosing models and workflows by cost, speed and quality.Model routing & gatewaysAI cost & performanceエージェント工学+2
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