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0:22EN
Theo - t3․gg· Sep 12, 2026Theo’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.Models & trainingAI cost & performanceCoding agents
9 slides1:16:51EN
Theo - t3․gg· Sep 11, 2026Fable 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.Coding agentsAI cost & performanceComputer use+2
11 slides44:12EN
Theo - t3․gg· Sep 4, 2026GPT-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.Models & trainingComputer useCoding agents+2
10 slides55:06EN
Theo - t3․gg· Sep 3, 2026Fable 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.Coding agentsAI cost & performanceCode review & verification+2
2 slides0:24EN
Theo - t3․gg· Sep 3, 2026Theo’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 & verificationCoding agentsAI cost & performance
6 slides28:37EN
Theo - t3․gg· Jul 1, 2026Theo 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.AnthropicCoding agentsAgent orchestration+2
2 slides2:19EN
Theo - t3․gg· Jul 1, 2026Theo 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.AnthropicCoding agentsAgent orchestration+1
6 slides31:30EN
Theo - t3․gg· Jun 30, 2026Why 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
4 slides22:43EN
Theo - t3․gg· Jun 29, 2026Mac 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 inferenceInfrastructure & deploymentAI cost & performance+1
6 slides30:08EN
Theo - t3․gg· Jun 27, 2026GPT-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.OpenAISafety & governanceAgent engineering+2
Slides2:30EN
Theo - t3․gg· Jun 12, 2026Theo’s First Look at Fable 5 and Its BenchmarksTheoTheo discusses the relationship between Fable and Mythos, benchmark refusals and early coding results.AnthropicBenchmarksCoding agents+1
0:38EN
Theo - t3․gg· Jun 12, 2026Theo’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 & performanceCoding agentsAnthropic
4 slides30:40EN
Theo - t3․gg· Jun 12, 2026Theo 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 orchestrationCoding agentsAI cost & performance+2
5 slides32:53EN
Theo - t3․gg· Jun 11, 2026Theo’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.AnthropicBenchmarksCoding agents+2
3 slides23:21EN
Theo - t3․gg· Jun 9, 2026Why the AI Compute Crunch Makes Early GPU Purchases ValuableTheoTheo traces the constraints behind AI computing, from chip fabrication and memory to storage and electricity.SemiconductorsInfrastructure & deploymentAI cost & performance+1
5 slides28:02EN
Theo - t3․gg· May 29, 2026Theo Tests Claude Opus 4.8 and Claude Code WorkflowsTheoA hands-on look at model behavior, early benchmarks, usage estimates and parallel agent workflows.Coding agentsBenchmarksAgent orchestration+2
5 slides27:55EN
Theo - t3․gg· May 28, 2026Theo 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 & performanceEnterprise AI+2