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29:22EN
Theo - t3․gg· 22 oct 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.
18:18ENTheo - t3․gg· 12 oct 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.
28:17ENTheo - t3․gg· 6 oct 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.
27:29ENTheo - t3․gg· 27 sept 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.
28:41ENTheo - t3․gg· 25 sept 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.
27:53ENTheo - t3․gg· 22 sept 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.
27:09ENTheo - t3․gg· 18 sept 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.
26:33ENTheo - t3․gg· 9 sept 2026Theo 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.
28:36ENTheo - t3․gg· 7 sept 2026Theo 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.
15:20ENTheo - t3․gg· 31 ago 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.
27:05ENTheo - t3․gg· 30 ago 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.
25:27ENTheo - t3․gg· 29 ago 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.
25:31ENTheo - t3․gg· 13 ago 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.
18:17ENTheo - t3․gg· 8 ago 2026MCP’s Stateless Redesign: What Changed and Why Theo Is OptimisticTheo Browne · Ping LabsThe July 2026 MCP specification replaces protocol sessions with self-describing requests. Theo examines the benefits, examples, and the problem of migrating older clients and servers.
27:32ENTheo - t3․gg· 4 ago 2026How Theo Diagnosed a T3 Code Rendering Problem with Coding AgentsTheo Browne · Ping LabsA fast-looking idle page heated a laptop. Theo used agent-built experiments to isolate animations and compositing effects after confident diagnoses missed the cause.
23:37ENTheo - t3․gg· 3 ago 2026Theo on Linus Torvalds, AI Review and Open-Source MaintainersTheo Browne · Ping LabsA Linux mailing-list debate prompts a discussion of AI code review, maintainer workload and why developers experience tools differently.
16:59ENTheo - t3․gg· 23 jul 2026Theo on the OpenAI–Hugging Face Incident and AI SecurityTheo Browne · Ping LabsTheo examines a model evaluation that reached outside its intended environment, the response from both companies and the tension between safety restrictions and defender access.
24:11ENTheo - t3․gg· 22 jul 2026Theo on Disposable AI Code and Verifying Important SoftwareTheo Browne · Ping LabsTheo argues that generated code can serve experiments and verification while critical production changes retain careful review.
19:12ENTheo - t3․gg· 21 jul 2026Theo on Boris Cherny’s Advice for Engineering with AI AgentsTheo Browne · Ping LabsTheo argues that the skills behind good tooling, tests and onboarding remain valuable when agents join the development workflow.
25:58ENTheo - t3․gg· 14 jul 2026Theo on Codex Ultra: Reasoning Effort, Sub-Agents and UsageTheo Browne · Ping LabsTheo examines the Ultra mode he tested, its effect on multi-agent work, and why he prefers explicit workflow stages.
26:50ENTheo - t3․gg· 11 jul 2026Why Theo Thinks the Codex App Rebrand Misses Its Developer CommunityTheo Browne · Ping LabsThe unified ChatGPT desktop app adds useful agent features, but Theo Browne worries that a developer-focused identity is being lost.
26:09ENTheo - t3․gg· 10 jul 2026What Theo Built with GPT-5.6 During Six Weeks of Early AccessTheo Browne · Ping LabsFrom mobile rewrites to a compiler prototype and remote machine repair, Theo Browne shares unusually large-scale experiments and their limits.
24:43ENTheo - t3․gg· 9 jul 2026Grok 4.5 for Coding: Theo’s Benchmarks and Early ExperienceTheo Browne · Ping LabsTheo Browne examines Grok 4.5’s cost, benchmark caveats, coding work and 3D experiments after early access in Cursor.
28:11ENTheo - t3․gg· 7 jul 2026The Tradeoffs of Running Open-Weight AI Models LocallyTheo Browne · Ping LabsTheo Browne separates the value of open weights from the hardware, concurrency and cost constraints of local inference.Cargar másMostrando 24 de 31