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0:22EN
Theo - t3․gg· 2026년 9월 12일Theo’s Take on GPT-6 Astra: A Next-Generation Model With Rough EdgesTheoTheo praises the model across coding and other tasks while warning that it can still over-engineer and get stuck in loops.모델과 학습AI cost & performance코딩 에이전트
슬라이드 9장1:16:51EN
Theo - t3․gg· 2026년 9월 11일Fable 5.1 vs GPT-6 Astra: Theo on Coding, Computer Use and CostTheoTheo compares the models through coding projects, 3D demos and agent workflows, and explains why he uses each for different jobs.코딩 에이전트AI cost & performanceComputer use+2
슬라이드 11장44:12EN
Theo - t3․gg· 2026년 9월 4일GPT-6 Astra: Theo’s Early Tests of Computer Use, 3D and CodingTheoTheo reviews launch-era pricing and benchmarks, shows projects built with the model, and recounts a frustrating PR-review failure.모델과 학습Computer use코딩 에이전트+2
슬라이드 10장55:06EN
Theo - t3․gg· 2026년 9월 3일Fable 5.1 in Practice: Theo on Costs, Agent Workflows and PR QualityTheoTheo reviews the launch, prompting guidance and his early coding experiments, including an observational comparison of pull requests.코딩 에이전트AI cost & performanceCode review & verification+2
슬라이드 2장0:24EN
Theo - t3․gg· 2026년 9월 3일Theo’s Low-Cost Experiment Auditing T3 Code Pull RequestsTheoTheo describes using an inexpensive model to review recently updated pull requests and proposes a recurring readiness check.Code review & verification코딩 에이전트AI cost & performance
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 2장2:19EN
Theo - t3․gg· 2026년 7월 1일Theo on Sonnet 5: Agent Orchestration and Token CostsTheoTheo welcomes Sonnet 5's ability to coordinate subagents while questioning its token efficiency. He also discusses the introductory pricing announced at release.Anthropic코딩 에이전트Agent orchestration+1
슬라이드 6장31:30EN
Theo - t3․gg· 2026년 6월 30일Why Some AI Models Use Fewer Tokens to Solve a TaskTheoTheo explains input, output, caching and reasoning tokens, then explores a hypothesis about terse internal reasoning.AI cost & performanceReasoning & test-time computeKV caching & prefix reuse+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 6장30:08EN
Theo - t3․gg· 2026년 6월 27일GPT-5.6’s Limited Preview: Benchmarks, Agent Risks and AccessTheoTheo reviews the launch-era announcement, published evaluations and reported agent incidents, while questioning the balance between safety and broad access.OpenAI안전과 거버넌스에이전트 엔지니어링+2
슬라이드2:30EN
Theo - t3․gg· 2026년 6월 12일Theo’s First Look at Fable 5 and Its BenchmarksTheoTheo discusses the relationship between Fable and Mythos, benchmark refusals and early coding results.AnthropicBenchmarks코딩 에이전트+1
0:38EN
Theo - t3․gg· 2026년 6월 12일Theo’s Fable Workflow Hit Subscription Limits and Usage CostsTheoTheo describes a costly usage-based run and an unfinished workflow that exhausted two session limits.AI cost & performance코딩 에이전트Anthropic
슬라이드 4장30:40EN
Theo - t3․gg· 2026년 6월 12일Theo on Agent Workflows, Usage Limits, and Building MoreTheoTheo demonstrates multi-agent PR reviews, ranked work queues and remote development while reflecting on cost, verification and sleep.Agent orchestration코딩 에이전트AI cost & performance+2
슬라이드 5장32:53EN
Theo - t3․gg· 2026년 6월 11일Theo’s Fable 5 Review: Benchmarks, Real Projects, and LimitsTheoTheo tests a newly released model on coding and creative work, highlighting impressive results alongside failures, safeguards and cost.AnthropicBenchmarks코딩 에이전트+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
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