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36:07EN
Theo - t3․gg· Oct 27, 2026Theo on Token Costs, Coding Agents, and the Price of AI CapabilityTheo Browne · Ping LabsA viral estimate of Lauren's AI spending prompts a closer look at cache pricing, benchmarks, and the changing work of coding agents.
30:37ENTheo - t3․gg· Oct 26, 2026Theo’s Three Skills for Reviewing and Shipping with Coding AgentsTheo Browne · Ping LabsHow sol-loop, full-send and full-stop encode review, verification and different levels of merge authority.
0:43ENTheo - t3․gg· Oct 23, 2026Theo Distinguishes Security Vulnerabilities from Active AttacksTheo Browne · Ping LabsA short explanation of why disclosed software flaws and reported attacks are different kinds of security news.
29:22ENTheo - 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.
31:13ENTheo - t3․gg· Oct 20, 2026Theo on Why Smarter Models Help More Than DevelopersTheo Browne · Ping LabsFrom game modifications to compiler experiments, Theo revisits his assumptions about who benefits from more capable AI.
31:47ENTheo - t3․gg· Oct 18, 2026Theo on Asking Agents for Outcomes and Building the Tools They NeedTheo Browne · Ping LabsA tool-call report, a troubleshooting playbook and connected data show how prompting can reshape product engineering.
48:04ENTheo - t3․gg· Oct 16, 2026Theo Explains Scion, Anthropic’s Source-Control System for Agent-Scale WorkTheo Browne · Ping LabsA deep dive into server-side changesets, layered caches, migration results and the limits of a bespoke Git alternative.
38:30ENTheo - t3․gg· Oct 14, 2026Theo Tests Gemini 4 Argon: Design Strengths and Code-Review ConcernsTheo Browne · Ping LabsA strong result on a narrow skateboarding benchmark contrasts with poor findings in Theo’s own codebase audits.
38:02ENTheo - t3․gg· Oct 13, 2026Meta’s Muse Wonder Full: A Coding Agent Tested Against Opus and SolTheo Browne · Ping LabsTheo Browne tests Meta’s new model on code review, debugging, delegation and benchmarks, finding promising strengths alongside important limits.
18:18ENTheo - 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.
0:23ENTheo - t3․gg· Oct 12, 2026Why Theo Would Wait Before Upgrading for UltrafastTheo Browne · Ping LabsA short cost comparison leads Theo Browne to caution against upgrading to the $500 tier solely for Astra Ultrafast.
47:40ENTheo - t3․gg· Oct 10, 2026How Theo Used AI Agents to Port TypeScript to RustTheo Browne · Ping LabsThe TS Rust experiment combines a Go-to-Rust compiler port, subscription-based agent work and a prototype developer loop inside a V8 isolate.
41:10ENTheo - t3․gg· Oct 9, 2026Haiku 5.5: Where a Cheaper Small Model Helps Coding AgentsTheo Browne · Ping LabsTheo Browne examines Haiku 5.5 pricing, benchmark results and practical tests, including a failed pull-request audit.
33:33ENTheo - t3․gg· Oct 7, 2026Is the $200 Codex Plan Still Worth It?Theo Browne · Ping LabsTheo Browne compares subscription usage, API-equivalent estimates, model efficiency and the cost of Ultrafast.
0:29ENTheo - t3․gg· Oct 7, 2026Theo’s Ultrafast Test: $600 of Usage for Two PR ReviewsTheo Browne · Ping LabsA short example illustrates how quickly token costs can rise when using Ultrafast for everyday review work.
28:17ENTheo - 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.
1:10:29ENTheo - t3․gg· Oct 5, 2026How Anthropic Used Claude to Improve App PerformanceTheo Browne · Ping LabsTheo Browne examines a two-week performance sprint, its measurement tools, human review and the tradeoffs behind faster interfaces.
1:06:36ENTheo - t3․gg· Oct 2, 2026Theo’s Guide to Running Coding Agents in ParallelTheo Browne · T3Theo explains his approach to subscription usage, agent delegation, review and remote machines, while acknowledging that parts of his setup may violate provider rules.
30:58ENTheo - t3․gg· Sep 29, 2026GPT-6.1 Sol: Cheap, Thorough at Code Review, but Uneven at Long BuildsTheo Browne · T3Theo compares early tests of GPT-6.1 Sol with competing models, from benchmark cost to real code reviews and a 3D game demo.
31:46ENTheo - t3․gg· Sep 29, 2026Claude Sonnet 5.5: A Fast Research Assistant for Coding AgentsTheo Browne · T3Theo tests Sonnet 5.5 on pricing, reasoning effort, codebase analysis and a 3D game, and finds a surprising role for it alongside larger models.
27:29ENTheo - 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.
28:41ENTheo - 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.
0:31ENTheo - t3․gg· Sep 24, 2026Grok 4.7’s Token Use and the Claims Around Its ReleaseTheo Browne · T3Theo compares Elon Musk’s earlier predictions for Grok 4.7 with selected benchmark results and token counts.
40:14ENTheo - t3․gg· Sep 23, 2026Opus 5.5: Theo’s First Day with a New Coding ModelTheo Browne · T3Theo compares price, benchmarks, coding work and game demos while cautioning that his assessment rests on a single day of use.Load moreShowing 24 of 36