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331 件
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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
55:19EN
Sequoia Capital· 2026年8月25日ポッドキャストHuman Click Data Is a Bug: Rebuilding Search for a Web of AgentsParag Agrawal, former Twitter CEO and founder of Parallel Web Systems, argues that agents will query the web a thousand times more than people, and that both search infrastructure and the ad-supported internet have to be rebuilt for that customer.エージェントSearch & retrievalエージェント工学+3
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
1:10:08EN
20VC with Harry Stebbings· 2026年8月22日ポッドキャスト · 2 人Jerry Murdock on AI Financing, Open Models and Technology Cyclesゲスト Jerry Murdock · ホスト Harry StebbingsInsight Partners' co-founder discusses credit risk, specialized models, security and how investors might navigate an uncertain AI cycle.Venture CapitalAI cost & performanceエンタープライズ AI+2
2:06:11EN
Cognitive Revolution "How AI Changes Everything"· 2026年8月14日ポッドキャストLindy Runs on DeepSeek. Its CEO Still Wants Chinese Models Bannedホスト Nathan LabenzFlo Crivello tells Nathan Labenz how Lindy Teammate lives in Slack, reaches two billion tokens of memory in two model calls, and why he would still outlaw the cheap Chinese models that currently power the product.エージェントAgent memoryコンテキストエンジニアリング+3
スライド 8 枚25:31EN
Theo - t3․gg· 2026年8月13日Grok 4.6: Better Agent Benchmarks, With Tradeoffs in Speed and CostTheo Browne · t3.ggTheo Browne tests Grok 4.6 on design, games and real code, weighing reported benchmark gains against his experience of slower and costlier tasks.コーディングエージェント評価(Evals)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
1:08:25EN
20VC with Harry Stebbings· 2026年8月10日ポッドキャスト · 2 人Alex Atallah on OpenRouter, Model Competition and AI Marketplacesゲスト Alex Atallah · ホスト Harry StebbingsThe OpenRouter CEO discusses inference providers, open-weight models, enterprise safety and the economics of routing.Model routing & gatewaysInferenceOpen-weight models+2
スライド 7 枚44:42EN
Theo - t3․gg· 2026年8月7日Theo Tests Meta’s Muse Code: Fast, Cheap and UnevenTheo Browne · Ping LabsMuse Spark 1.2 handles rapid analysis and pull-request triage at low cost, but Theo’s experiments expose integration failures, hallucinations and rate limits.コーディングエージェントAI cost & performanceSoftware engineering+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
スライド 7 枚36:00EN
Theo - t3․gg· 2026年7月26日Theo on Kimi K3, Distillation and the Open-Weight AI DebateTheo Browne · Ping LabsKimi K3’s capabilities have sparked arguments over model distillation, security and competition. Theo separates the practical tradeoffs from his own speculation about lab strategy.Open-weight modelsDistillationAI security+2
スライド 10 枚44:29EN
Theo - t3․gg· 2026年7月25日Theo’s Opus 5 Review: Coding Style, Cost and Model TradeoffsTheo Browne · Ping LabsAfter a day of coding with Opus 5, Theo compares it with Fable and GPT-5.6 Sol across plans, benchmarks, costs and real work.コーディングエージェントAI cost & performanceBenchmarks+2
スライド 5 枚52:29EN
Matthew 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16:09EN
Matthew Berman· 2026年7月23日How to Compare AI Task Costs and Split Coding Work Across ModelsMatthew Berman · Forward FutureMatthew Berman compares token prices with benchmark task costs and proposes a planning, execution and review workflow using different models.AI cost & performanceModel routing & gateways開発ワークフローとテスト+2
1:24EN
Matthew Berman· 2026年7月22日Matthew Berman on Using Model Routing to Reduce AI CostsMatthew Berman · Forward FutureA short, sponsored explanation of splitting planning and coding between models of different cost, with a customer savings claim from DigitalOcean.AI cost & performanceInferenceコーディングエージェント
スライド 4 枚27:13EN
Matthew 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
1:28:42EN
20VC with Harry Stebbings· 2026年7月20日ポッドキャスト · 2 人Lin Qiao on Specialized AI, Open Models and the Economics of Inferenceゲスト Lin Qiao · ホスト Harry StebbingsThe Fireworks AI CEO explains her case for customized models, discusses infrastructure trade-offs and forecasts lower AI costs and higher use.InferenceAI cost & performanceOpen-weight models+2
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 9 枚57:39EN
Theo - t3․gg· 2026年7月18日Fable 5 vs GPT-5.6 Sol: Theo on Cost, Coding and Model JudgmentTheo Browne · Ping LabsTheo compares two coding models through benchmarks, design work and long-running tasks, explaining why his favorite model is not always the one he uses first.コーディングエージェントAI cost & performance開発ワークフローとテスト+2
スライド 11 枚41:35EN
Theo - t3․gg· 2026年7月17日Kimi K3 in Practice: Coding, Visual Work, Cost and LimitationsTheo Browne · Ping LabsTheo tests Moonshot’s planned open-weight model on long coding tasks, UI design and a 3D game, while examining benchmarks and security concerns.コーディングエージェントOpen-weight modelsAI cost & performance+2
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