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110 件
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スライド 12 枚34:21EN
Matthew Berman· 2026年10月27日Matthew Berman Examines Anthropic’s IPO Filing, AI Growth and GovernanceMatthew Berman, Sam Altman · Forward FutureThe presenter reviews the S-1’s financial metrics, compute strategy and voting structure while questioning the tension between rapid AI development and safety.AnthropicAI Safetyエンタープライズ AI+2
スライド 6 枚25:50EN
Matthew 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
Matthew 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
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 4 枚31:59EN
Matthew 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16:57EN
Matthew 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
Matthew 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
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1:12EN
Matthew Berman· 2026年9月17日A Sponsored Look at Higgsfield's Image and Video APIMatthew Berman · Forward FutureMatthew Berman uses a real-versus-AI video comparison to introduce Higgsfield's model catalog and generation-based API billing.Generative media画像と動画AI cost & performance
スライド0:38EN
Matthew Berman· 2026年9月13日A Quick DeepSeek Speed Test and V4.1 Flash API PricingMatthew Berman · Forward FutureMatthew Berman demonstrates a short essay response and reviews the peak and off-peak API rates displayed in September 2026.AI cost & performanceモデルと学習
スライド 7 枚16:39EN
Matthew Berman· 2026年9月11日DeepSeek V4.1 Flash: Low-Cost Inference Meets Mixed Results in Practical TestsMatthew Berman · Forward FutureMatthew Berman examines DeepSeek’s efficient new open-weight model, its reported benchmarks and API pricing, then tests its speed, coding and visual work. His small set of demos reveals both impressive speed and problems with simulation accuracy.モデルと学習Open-weight modelsAI cost & performance+2
スライド 10 枚13:31EN
Matthew Berman· 2026年9月4日Matthew Berman Tests GPT-6 Astra with Games and Browser TasksMatthew Berman · Forward FutureAn early-access tour shows playable prototypes, computer-use demonstrations and a sponsor’s enterprise evaluation, alongside observations about visual style and limitations.コーディングエージェントComputer useAI cost & performance+2
スライド 5 枚16:50EN
Matthew 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 9 枚19:08EN
Matthew Berman· 2026年9月1日Claude Fable 5.1 and Mythos 5.1: Pricing, Safeguards and Hands-On TestsMatthew Berman · Forward FutureMatthew Berman examines Anthropic’s cost claims and benchmarks, an alternative cost estimate, and his own coding and design tests.Foundation ModelsBenchmarksAI cost & performance+2
スライド 7 枚18:57EN
Matthew Berman· 2026年8月29日GLM-5.3-Flash: Ox Alpha Benchmarks, Costs and Coding TestsMatthew Berman · Forward FutureMatthew Berman reviews Z.ai’s open-weight model, compares benchmark costs and tries coding and presentation tasks against a competing model.Open-weight modelsBenchmarksAI cost & performance+2
スライド 5 枚20:46EN
Matthew 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
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
44:28EN
Matthew 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1:07EN
Matthew Berman· 2026年8月11日Matthew Berman on Relay: Routing Coding Work Across ModelsMatthew Berman · Forward FutureA short demonstration of a free coding skill that assigns planning, implementation and review to different models. Its cost comparison is one example, not a guarantee of savings or equivalent quality.Agent orchestrationコーディングエージェントAI cost & performance+2
スライド 5 枚15:37EN
Matthew Berman· 2026年8月4日Matthew Berman on Qwen3.8-Max, AI Costs and Open-Weight CompetitionMatthew Berman · Forward FutureA 2026 review of reported benchmark results and research demonstrations leads to questions about deployment economics and geopolitical dependence.Open-weight modelsBenchmarksAI cost & performance+2
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
スライド 9 枚54:57EN
Matthew Berman· 2026年7月29日Open-Weight AI: Competition, Safety and the Debate over AnthropicMatthew Berman · Forward FutureMatthew Berman argues for broad access to AI models, weighs the economics and security arguments, and responds to Dario Amodei’s position on open weights.Open-weight modelsAI SafetyAI Regulation+2
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