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슬라이드 8장26:33EN
Theo - t3․gg· 2026년 9월 9일Theo 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 Alignment안전과 거버넌스+2
슬라이드 7장28:36EN
Theo - t3․gg· 2026년 9월 7일Theo 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 engineering코딩 에이전트Developer productivity+2
슬라이드 6장28:37EN
Theo - t3․gg· 2026년 7월 1일Theo 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.Anthropic코딩 에이전트Agent orchestration+2
슬라이드 4장22:43EN
Theo - t3․gg· 2026년 6월 29일Mac 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 inference인프라와 배포AI cost & performance+1
슬라이드 2장19:24EN
Theo - t3․gg· 2026년 6월 26일Theo on Google’s Coding Agents, Departures and Internal ExperimentsTheoTheo distinguishes model knowledge from agent behavior and argues that organizations need room for useful prototypes.Gemini코딩 에이전트Company Culture+1
슬라이드 4장20:47EN
Theo - t3․gg· 2026년 6월 25일From 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
슬라이드 4장19:57EN
Theo - t3․gg· 2026년 6월 24일Theo 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
슬라이드 2장23:21EN
Theo - t3․gg· 2026년 6월 20일Theo: 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
슬라이드 3장24:44EN
Theo - t3․gg· 2026년 6월 18일Theo 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 orchestration코딩 에이전트Code review & verification+2
슬라이드 4장27:47EN
Theo - t3․gg· 2026년 6월 17일Theo 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.코딩 에이전트Agent skillsAgent orchestration+2
슬라이드 5장29:32EN
Theo - t3․gg· 2026년 6월 15일Theo 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.Anthropic안전과 거버넌스AI security+2
슬라이드 3장23:21EN
Theo - t3․gg· 2026년 6월 9일Why the AI Compute Crunch Makes Early GPU Purchases ValuableTheoTheo traces the constraints behind AI computing, from chip fabrication and memory to storage and electricity.Semiconductors인프라와 배포AI cost & performance+1
20:29EN
Theo - t3․gg· 2026년 6월 3일How Prompts Become Technical Debt in AI CodingTheoTheo examines outdated agent instructions, model-specific behavior and the value of regularly auditing project guidance.코딩 에이전트컨텍스트 엔지니어링개발 워크플로와 테스트+1
슬라이드 5장28:02EN
Theo - t3․gg· 2026년 5월 29일Theo Tests Claude Opus 4.8 and Claude Code WorkflowsTheoA hands-on look at model behavior, early benchmarks, usage estimates and parallel agent workflows.코딩 에이전트BenchmarksAgent orchestration+2
슬라이드 5장27:55EN
Theo - t3․gg· 2026년 5월 28일Theo 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 & performance엔터프라이즈 AI+2