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14 件
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スライド 6 枚29:22EN
Theo - t3․gg· 2026年10月22日Theo on Security Vulnerabilities, Stolen API Keys and AITheo Browne · Ping LabsA look at the gap between vulnerability disclosure and patching, and a speculative account of why stolen inference keys may be valuable.CybersecurityAI securitySoftware engineering+1
スライド 7 枚18:18EN
Theo - t3․gg· 2026年10月12日Why AI Bills Can Rise as Intelligence Gets CheaperTheo Browne · Ping LabsTheo Browne explains the difference between token prices, task costs and capability, and why more useful agents can still drive larger bills.AI cost & performanceコーディングエージェントモデルと学習
スライド 7 枚28:17EN
Theo - t3․gg· 2026年10月6日Ultrafast Coding: A Live Design Loop With a Steep CostTheo Browne · Ping LabsTheo Browne explores how fast inference changes his workflow, and why he still advises against upgrading solely for Ultrafast.コーディングエージェントAI cost & performanceDeveloper productivity
スライド 4 枚27:29EN
Theo - t3․gg· 2026年9月27日What Pacing the AI Frontier Could Mean for Model ReleasesTheo Browne · T3Theo argues that releasing more reliable and affordable models can be compatible with slowing the advance of the most dangerous capabilities.AI Safety安全性とガバナンス評価(Evals)+2
スライド 6 枚28:41EN
Theo - t3․gg· 2026年9月25日How Theo Uses Opus 5.5 for Longer Coding TasksTheo Browne · T3Clear finish lines, explicit stopping points, steering and independent verification can make long agent runs easier to manage.コーディングエージェントPrompt optimizationAgent orchestration+2
スライド 7 枚27:53EN
Theo - t3․gg· 2026年9月22日Grok 4.7: Strong Codebase Investigation, Uneven ValueTheo Browne · T3Theo compares launch claims, token costs, benchmarks and his own codebase and game tests, finding useful review behavior alongside significant tradeoffs.コーディングエージェントAI cost & performance評価(Evals)+2
スライド 4 枚27:09EN
Theo - t3․gg· 2026年9月18日Why Theo Values Reliable Coding Agents Over Peak PerformanceTheo Browne · T3Theo Browne argues that a model’s weakest moments matter when a coding task stretches from investigation through testing and review.コーディングエージェントDeveloper productivityAI cost & performance+2
スライド 6 枚15:20EN
Theo - t3․gg· 2026年8月31日Why Claude Code’s Limit Increase Means Less Usage for Current SubscribersTheo Browne · Ping LabsTheo explains the difference between Anthropic’s permanent baseline increase and the temporary allowance users were receiving, and criticizes how the change was communicated.PricingPricing Strategy
スライド 8 枚27:05EN
Theo - t3․gg· 2026年8月30日OpenAI and Cursor’s Split: What Changes for DevelopersTheo Browne · Ping LabsTheo explains the proposed end of direct OpenAI model access in Cursor, the dispute over usage figures, and alternatives for developers.コーディングエージェントBenchmarksDeveloper productivity+1
スライド 7 枚25:27EN
Theo - t3․gg· 2026年8月29日The New Chips Challenging NVIDIA’s AI AdvantageTheo Browne, Jim Cramer, Jensen Huang · Ping LabsTheo compares local inference hardware with Chinese accelerators and OpenAI’s Jalapeño, focusing on memory, software and power efficiency.SemiconductorsInferenceLocal inference+1
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 6 枚18:17EN
Theo - t3․gg· 2026年8月8日MCP’s Stateless Redesign: What Changed and Why Theo Is OptimisticTheo Browne · Ping LabsThe July 2026 MCP specification replaces protocol sessions with self-describing requests. Theo examines the benefits, examples, and the problem of migrating older clients and servers.MCPコーディングエージェントインフラとデプロイ+2
スライド 7 枚27:32EN
Theo - t3․gg· 2026年8月4日How Theo Diagnosed a T3 Code Rendering Problem with Coding AgentsTheo Browne · Ping LabsA fast-looking idle page heated a laptop. Theo used agent-built experiments to isolate animations and compositing effects after confident diagnoses missed the cause.Software engineeringコーディングエージェントDeveloper productivity+2
スライド 3 枚23:37EN
Theo - t3․gg· 2026年8月3日Theo on Linus Torvalds, AI Review and Open-Source MaintainersTheo Browne · Ping LabsA Linux mailing-list debate prompts a discussion of AI code review, maintainer workload and why developers experience tools differently.コーディングエージェントOpen SourceSoftware engineering+2