OpenAI REVEALS Internal Codex Use and the $10k/month Breakdown скачать в хорошем качестве

OpenAI REVEALS Internal Codex Use and the $10k/month Breakdown

srcs: https://x.com/KarelDoostrlnck/status/... https://x.com/KarelDoostrlnck/status/... https://x.com/gdb/status/201956664149... https://x.com/MindBranches/status/201... https://x.com/buccocapital/status/201... How does OpenAI actually use Codex inside real workflows — and what does a $10k/month token budget really buy you? In this episode we break down: How engineers reverse-engineer new Codex and SDK features before docs exist Why token budgets are becoming a real leverage advantage The simple tooling setups heavy users rely on (VS Code, shells, work trees) How “agent captains” and shared skills files help teams scale AI usage Why systems of record are becoming dumb pipes — and where the value is moving This isn’t a model comparison. It’s a look at **how serious teams learn faster and compound output with AI**. 00:00 Introduction and Overview 00:03 Codex vs. Opus: Initial Thoughts 00:28 Token Budgets and AI Leverage 01:54 Greg Brockman's Insights on AI Implementation 03:03 Creating Effective AI Agents 05:18 Scaling Research with Codex 07:00 System of Record and SaaS Commentary 08:54 SDK Workflow and Practical Tips 12:31 Conclusion and Viewer Interaction