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21 件
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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 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 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 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
スライド 5 枚24:11EN
Theo - t3․gg· 2026年7月22日Theo on Disposable AI Code and Verifying Important SoftwareTheo Browne · Ping LabsTheo argues that generated code can serve experiments and verification while critical production changes retain careful review.コーディングエージェントCode review & verification開発ワークフローとテスト+2
スライド 9 枚25:58EN
Theo - t3․gg· 2026年7月14日Theo on Codex Ultra: Reasoning Effort, Sub-Agents and UsageTheo Browne · Ping LabsTheo examines the Ultra mode he tested, its effect on multi-agent work, and why he prefers explicit workflow stages.コーディングエージェントAgent orchestrationAI cost & performance+2
スライド 6 枚26:50EN
Theo - t3․gg· 2026年7月11日Why Theo Thinks the Codex App Rebrand Misses Its Developer CommunityTheo Browne · Ping LabsThe unified ChatGPT desktop app adds useful agent features, but Theo Browne worries that a developer-focused identity is being lost.コーディングエージェントProduct Strategyプロダクトと UX+2
スライド 6 枚26:09EN
Theo - t3․gg· 2026年7月10日What Theo Built with GPT-5.6 During Six Weeks of Early AccessTheo Browne · Ping LabsFrom mobile rewrites to a compiler prototype and remote machine repair, Theo Browne shares unusually large-scale experiments and their limits.コーディングエージェントComputer use開発ワークフローとテスト+2
スライド 6 枚24:43EN
Theo - t3․gg· 2026年7月9日Grok 4.5 for Coding: Theo’s Benchmarks and Early ExperienceTheo Browne · Ping LabsTheo Browne examines Grok 4.5’s cost, benchmark caveats, coding work and 3D experiments after early access in Cursor.コーディングエージェント評価(Evals)AI cost & performance+2
スライド 7 枚28:11EN
Theo - t3․gg· 2026年7月7日The Tradeoffs of Running Open-Weight AI Models LocallyTheo Browne · Ping LabsTheo Browne separates the value of open weights from the hardware, concurrency and cost constraints of local inference.Local inferenceOpen-weight modelsAI cost & performance+2
スライド 7 枚23:24EN
Theo - t3․gg· 2026年7月4日Fable 5: Theo’s Take on Fallbacks, Subscription Limits, and CostTheo Browne · Ping LabsTheo Browne examines performance claims and shares the cost-saving workflow he used during a limited subscription window.コーディングエージェント安全性とガバナンスAI cost & performance+2
スライド 3 枚23:36EN
Theo - t3․gg· 2026年5月20日Gemini 3.5 Flash, Antigravity CLI, and Railway’s Cloud OutageTheo Browne · T3Theo questions a model launch, a developer-tool transition, and a cloud outage while examining the costs and dependencies behind each.コーディングエージェントGeminiAI cost & performance+2
スライド 4 枚27:29EN
Theo - t3․gg· 2026年5月12日Theo on Bun’s AI-Assisted Rust Rewrite and Its RisksTheo Browne · Ping LabsA rapid port raises questions about memory safety, compatibility, and who gets priority when an open-source runtime changes hands.Programming LanguagesSoftware engineeringコーディングエージェント+2
スライド 5 枚27:08EN
Theo - t3․gg· 2026年4月24日GPT-5.5 in Early Use: Capability, Cost and the Challenge of SteeringTheo Browne · T3Theo Browne compares benchmarks with personal project tests and discusses the gap between capability and following intent.コーディングエージェントOpenAIAI cost & performance+2
23:31EN
Theo - t3․gg· 2026年4月14日Theo Browne on Claude Code Subscriptions, iMessage and Platform RulesTheo Browne · T3A developer compares Anthropic’s subscription restrictions with its iMessage integration and calls for clearer rules for third-party tools.AnthropicコーディングエージェントProduct Strategy+2