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27:53EN
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.
41:32ENTheo - t3․gg· Sep 22, 2026Using Fable 5.1 for Longer Coding TasksTheo Browne · T3Theo Browne shares how he prompts coding agents, sets end states and uses reviews and tests to support longer-running work.
0:23ENTheo - t3․gg· Sep 21, 2026Why AI Safety Evaluators Need More Than a Black BoxTheo Browne · T3Theo Browne explains a proposal to give outside evaluators employee-like access inside AI companies.
30:29ENTheo - t3․gg· Sep 21, 2026Jev: A Fast Classifier for Structured DecisionsTheo Browne · T3Theo Browne explores Typesafe AI’s Jev through classification, game and developer-workflow demos, and explains where he thinks a reasoning model is still needed.
0:24ENTheo - t3․gg· Sep 19, 2026Why Theo Worries About AI Harm Before ShutdownTheo Browne · T3Theo Browne argues that harmful effects could persist even after a system is switched off.
27:09ENTheo - 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.
0:22ENTheo - t3․gg· Sep 18, 2026AI Leaders Express Support for Slowing the FrontierTheo Browne · T3Theo Browne discusses public responses to Dario Amodei’s proposal for independent AI evaluators.
38:21ENTheo - t3․gg· Sep 16, 2026How Theo Works With One Hand: Dictation and Coding AgentsTheo Browne · T3After a hand injury, Theo Browne combines voice input, one-handed navigation and agents to reduce friction in his daily work.
1:02:53ENTheo - t3․gg· Sep 14, 2026Shopify’s Return to Native: What AI Changes for React NativeTheo Browne · T3Theo Browne weighs Shopify’s move to Swift and Kotlin against over-the-air updates, tooling, platform limitations and his own AI-assisted port.
34:48ENTheo - t3․gg· Sep 13, 2026Dario Amodei’s Three-Part Proposal to Pace AI DevelopmentTheo Browne · T3Theo Browne examines a proposal for embedded evaluators, coordination among democracies and eventual international agreements.
0:22ENTheo - 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.
1:16:51ENTheo - 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.
49:22ENTheo - t3․gg· Sep 9, 2026Theo’s AI Agent Workflow: Parallel Investigations, Review Loops and Safer MergesTheoA walkthrough of how Theo uses agents, remote previews and release safety nets to keep coding while running a company.
26:33ENTheo - t3․gg· Sep 9, 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· Sep 7, 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.
44:12ENTheo - 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.
55:06ENTheo - 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.
0:24ENTheo - 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.
34:23ENTheo - t3․gg· Sep 1, 2026How Reward Hacking Changed an Experimental Claude ModelTheo Browne · Ping LabsTheo examines Anthropic’s deliberately trained reward-seeking model, its simulated security tests, and the limits of what the results show.
0:24ENTheo - t3․gg· Sep 1, 2026Theo’s Interpretation of OpenAI’s Decision on Cursor and AstraTheoTheo connects the end of the partnership to concerns about model distillation and access to Astra.
15:20ENTheo - 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.
27:05ENTheo - 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.
25:27ENTheo - 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.
0:36ENTheo - t3․gg· Aug 28, 2026Theo on Ox Alpha, Revealed as GLM-5.3-FlashTheo Browne · Ping LabsTheo discusses the model’s price, multimodal inputs and Chinese-chip deployment in a short first impression.Load moreShowing 24 of 184