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5 Folien38:47EN
Theo - t3․gg· 28. Okt. 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-AgentenAgent EngineeringAI cost & performance+2
5 Folien48:04EN
Theo - t3․gg· 16. Okt. 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 engineeringInfrastruktur & DeploymentCoding-Agenten+2
6 Folien18:17EN
Theo - t3․gg· 8. Aug. 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-AgentenInfrastruktur & Deployment+2
7 Folien28:11EN
Theo - t3․gg· 7. Juli 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 Folien38:05EN
Theo - t3․gg· 3. Juli 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-AgentenEntwicklungs-Workflows & TestsInfrastruktur & Deployment+1
4 Folien22:43EN
Theo - t3․gg· 29. Juni 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 inferenceInfrastruktur & DeploymentAI cost & performance+1
2 Folien23:21EN
Theo - t3․gg· 20. Juni 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 Folien23:21EN
Theo - t3․gg· 9. Juni 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.SemiconductorsInfrastruktur & DeploymentAI cost & performance+1
5 Folien30:11EN
Theo - t3․gg· 6. Juni 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.Infrastruktur & DeploymentEntwicklungs-Workflows & TestsOpen-source ecosystems+2
5 Folien27:55EN
Theo - t3․gg· 28. Mai 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-KI+2
3 Folien23:36EN
Theo - t3․gg· 20. Mai 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-AgentenGeminiAI cost & performance+2
5 Folien35:13EN
Theo - t3․gg· 7. Mai 2026Theo on Anthropic’s SpaceX Compute Deal and Claude Usage LimitsTheo Browne, Dario Amodei · Ping LabsThe May 2026 partnership expands capacity for Claude while raising questions about AI infrastructure, training data and competition.AnthropicInfrastruktur & DeploymentCoding-Agenten+2
6 Folien50:46EN
Theo - t3․gg· 6. Mai 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 ecosystemsEntwicklungs-Workflows & TestsSoftware engineering+2
4 Folien41:11EN
Theo - t3․gg· 5. Mai 2026Theo and ThePrimeagen on AI Subscriptions, Compute and Model EconomicsTheo Browne, ThePrimeagen, Dario Amodei · Ping LabsA discussion of usage limits, training costs and why the price of a token differs from the cost of useful work.AI cost & performanceCoding-AgentenInfrastruktur & Deployment+2
7 Folien36:45EN
Theo - t3․gg· 4. Mai 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.OpenAIInfrastruktur & DeploymentEnterprise-KI+2