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15 件
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スライド 8 枚26:33EN
Theo - t3․gg· 2026年9月9日Theo on AI Safety, Jacob Coxon’s Resignation and Model MonitorabilityTheoA researcher’s departure prompts Theo to examine competitive pressure, alignment and what adversarial tests reveal about monitoring model reasoning.AI SafetyAI Alignment安全性とガバナンス+2
スライド 7 枚28:36EN
Theo - t3․gg· 2026年9月7日Theo on Partial Understanding: Working in Large Codebases With AITheoReading Sean Goedecke on theory-building, Theo explains why engineers need useful mental models without memorizing an entire system.Software engineeringコーディングエージェントDeveloper productivity+2
スライド 6 枚28:37EN
Theo - t3․gg· 2026年7月1日Theo Tests Sonnet 5 and Explains Fable’s ReturnTheoTheo compares model benchmarks and his own coding tests, finding promise in Sonnet’s subagent orchestration but questioning its task costs.AnthropicコーディングエージェントAgent orchestration+2
スライド 4 枚22:43EN
Theo - t3․gg· 2026年6月29日Mac Prices, Unified Memory and Local AI: Theo’s Buying Trade-offsTheoTheo explains why high-memory Macs appealed for local inference and how rising component prices changed his comparison with PCs.Local inferenceインフラとデプロイAI cost & performance+1
スライド 2 枚19:24EN
Theo - t3․gg· 2026年6月26日Theo on Google’s Coding Agents, Departures and Internal ExperimentsTheoTheo distinguishes model knowledge from agent behavior and argues that organizations need room for useful prototypes.GeminiコーディングエージェントCompany Culture+1
スライド 4 枚20:47EN
Theo - t3․gg· 2026年6月25日From Chatbots to Team Agents: Theo on Karpathy’s Claude Tag ThesisTheoTheo explores shared channel context, asynchronous agents and the trade-off between a ready-made team workflow and model choice.Human-AI CollaborationAI agentsAgent memory+2
スライド 4 枚19:57EN
Theo - t3․gg· 2026年6月24日Theo on the Fable 5 Restrictions: Security, Lawsuits, and Open ModelsTheoAfter access to Anthropic’s Fable 5 and Mythos 5 was suspended in June 2026, Theo examines the government’s stated security concerns and the questions they raised for developers.AnthropicAI RegulationAI security+2
スライド 2 枚23:21EN
Theo - t3․gg· 2026年6月20日Theo: Think Bigger When AI Makes Building CheaperTheoTheo compares AI-assisted development with the cloud transition and explains why he is experimenting with a broader developer platform.AI StrategyProduct StrategyDeveloper productivity+2
スライド 3 枚24:44EN
Theo - t3․gg· 2026年6月18日Theo on Coding Agent Loops: Review, Coordination, and CostTheoTheo describes moving from manually passing review feedback to dynamic agent workflows, including an overnight multi-PR experiment and its limitations.Agent orchestrationコーディングエージェントCode review & verification+2
スライド 4 枚27:47EN
Theo - t3․gg· 2026年6月17日Theo on Claude Code: Skills, Workflows, and Session ControlsTheoTheo walks through features he hopes other agent tools will adopt, including dynamic skill context and a code-generated PR audit.コーディングエージェントAgent skillsAgent orchestration+2
スライド 5 枚29:32EN
Theo - t3․gg· 2026年6月15日Theo on Fable’s Safeguards, Data Retention, and TransparencyTheoTheo examines fallback behavior and an initially undisclosed safeguard, then corrects himself after finding an update and changelog.Anthropic安全性とガバナンスAI security+2
スライド 3 枚23:21EN
Theo - t3․gg· 2026年6月9日Why the AI Compute Crunch Makes Early GPU Purchases ValuableTheoTheo traces the constraints behind AI computing, from chip fabrication and memory to storage and electricity.SemiconductorsインフラとデプロイAI cost & performance+1
20:29EN
Theo - t3․gg· 2026年6月3日How Prompts Become Technical Debt in AI CodingTheoTheo examines outdated agent instructions, model-specific behavior and the value of regularly auditing project guidance.コーディングエージェントコンテキストエンジニアリング開発ワークフローとテスト+1
スライド 5 枚28:02EN
Theo - t3․gg· 2026年5月29日Theo Tests Claude Opus 4.8 and Claude Code WorkflowsTheoA hands-on look at model behavior, early benchmarks, usage estimates and parallel agent workflows.コーディングエージェントBenchmarksAgent orchestration+2
スライド 5 枚27:55EN
Theo - t3․gg· 2026年5月28日Theo on Anthropic’s Reported Profit Forecast and AI Revenue GrowthTheoA discussion of annualized revenue, cloud distribution, usage-based pricing and the limits of a reported quarterly forecast.AI StrategyAI cost & performanceエンタープライズ AI+2