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6 slides29:22EN
Theo - t3․gg· Oct 22, 2026Theo on Security Vulnerabilities, Stolen API Keys and AITheo Browne · Ping LabsA look at the gap between vulnerability disclosure and patching, and a speculative account of why stolen inference keys may be valuable.CybersecurityAI securitySoftware engineering+1
7 slides18:18EN
Theo - t3․gg· Oct 12, 2026Why 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 & performanceCoding agentsModels & training
7 slides28:17EN
Theo - t3․gg· Oct 6, 2026Ultrafast 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.Coding agentsAI cost & performanceDeveloper productivity
4 slides27:29EN
Theo - t3․gg· Sep 27, 2026What Pacing the AI Frontier Could Mean for Model ReleasesTheo Browne · T3Theo argues that releasing more reliable and affordable models can be compatible with slowing the advance of the most dangerous capabilities.AI SafetySafety & governanceEvals+2
6 slides28:41EN
Theo - t3․gg· Sep 25, 2026How 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.Coding agentsPrompt optimizationAgent orchestration+2
7 slides27:53EN
Theo - t3․gg· Sep 22, 2026Grok 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.Coding agentsAI cost & performanceEvals+2
4 slides27:09EN
Theo - t3․gg· Sep 18, 2026Why 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.Coding agentsDeveloper productivityAI cost & performance+2
6 slides15:20EN
Theo - t3․gg· Aug 31, 2026Why Claude Code’s Limit Increase Means Less Usage for Current SubscribersTheo Browne · Ping LabsTheo explains the difference between Anthropic’s permanent baseline increase and the temporary allowance users were receiving, and criticizes how the change was communicated.PricingPricing Strategy
8 slides27:05EN
Theo - t3․gg· Aug 30, 2026OpenAI 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.Coding agentsBenchmarksDeveloper productivity+1
7 slides25:27EN
Theo - t3․gg· Aug 29, 2026The New Chips Challenging NVIDIA’s AI AdvantageTheo Browne, Jim Cramer, Jensen Huang · Ping LabsTheo compares local inference hardware with Chinese accelerators and OpenAI’s Jalapeño, focusing on memory, software and power efficiency.SemiconductorsInferenceLocal inference+1
8 slides25:31EN
Theo - t3․gg· Aug 13, 2026Grok 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.Coding agentsEvalsAI cost & performance+2