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5 slides38:47EN
Theo - t3․gg· Oct 28, 2026Theo’s Long-Running Agent Experiments: Verification, Compute and CostTheo Browne · Ping LabsA skateboard game and two compiler projects show how repeated checks and flexible compute can sustain agent work—and how expensive those loops can become.Coding agentsAgent engineeringAI cost & performance+2
5 slides48:04EN
Theo - 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.Software engineeringInfrastructure & deploymentCoding agents+2
6 slides18:17EN
Theo - t3․gg· Aug 8, 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.MCPCoding agentsInfrastructure & deployment+2
7 slides28:11EN
Theo - t3․gg· Jul 7, 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.Local inferenceOpen-weight modelsAI cost & performance+2
4 slides38:05EN
Theo - t3․gg· Jul 3, 2026Why Theo Moved His Agent Work to Linux MachinesTheoLong-running coding agents, laptop CPU load and slow small-file operations led Theo to build a networked fleet. He demonstrates SSH, a hardware KVM and T3 Code for remote work.Coding agentsDeveloper workflows & testingInfrastructure & deployment+1
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
2 slides23:21EN
Theo - t3․gg· Jun 20, 2026Theo: Think Bigger When AI Makes Building CheaperTheoTheo compares AI-assisted development with the cloud transition and explains why he is experimenting with a broader developer platform.AI StrategyProduct StrategyDeveloper productivity+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 slides30:11EN
Theo - t3․gg· Jun 6, 2026What Cloudflare’s VoidZero Acquisition Could Mean for Vite and AI DeploymentTheoTheo examines the developer experience behind the deal and demonstrates his own unreleased cloud project.Infrastructure & deploymentDeveloper workflows & testingOpen-source ecosystems+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
3 slides23:36EN
Theo - t3․gg· May 20, 2026Gemini 3.5 Flash, Antigravity CLI, and Railway’s Cloud OutageTheo Browne · T3Theo questions a model launch, a developer-tool transition, and a cloud outage while examining the costs and dependencies behind each.Coding agentsGeminiAI cost & performance+2
6 slides50:46EN
Theo - t3․gg· May 6, 2026Theo Explores GitHub Alternatives and the Cost of LeavingTheo Browne · Ping LabsGitLab, Bitbucket, Forgejo and newer agent-oriented tools each address different parts of source-code collaboration.Open-source ecosystemsDeveloper workflows & testingSoftware engineering+2
7 slides36:45EN
Theo - t3․gg· May 4, 2026Theo on the Microsoft–OpenAI Agreement and Amazon’s Cloud OpportunityTheo Browne · Ping LabsThe 2026 amendment changes exclusivity and revenue sharing while keeping Microsoft and OpenAI in a continuing partnership.OpenAIInfrastructure & deploymentEnterprise AI+2