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OpenAI Internal Tools Strategy

Why we picked it

Developers in ASEAN can learn from OpenAI's approach to building tools through AI systems rather than human teams, potentially reducing development costs.

OpenAI resisted creating internal tooling teams despite hiring ex-Meta staff who advocated for them. The company leadership believed in an AGI-first world where such teams would be unnecessary. With Codex, OpenAI experienced a massive internal tools explosion without dedicated tooling teams. This approach contrasts with Meta's strategy of investing heavily in internal tooling infrastructure.

Original · Yangyi

内部只有 agent&human IM 工具都是基于agent&human IM的组件而已 与其想着构建工具 不如思考一下元工具的相关系统 比如RBAC权限管理 比如Agent Resource这些更实际的问题 用第一性原理思考问题 当AI替代大部分人类劳动力的时候 人类该如何管理这些Agent 找到那个关键节点 比构建任何工具都有价值 Gergely Orosz @GergelyOrosz Super interesting detail from inside OpenAI: The company hired a bunch of ex-Meta people. Some of these people wanted to invest heavily into internal tooling teams (Meta did it, worked great) OpenAI leadership resisted, saying that in an AGI-first world, there will be no internal tooling teams. And they were right: now, with Codex, there's a massive internal tools explosion, without having any internal tooling teams! 🔗 View Quoted Tweet 💬 1 🔄 0 ❤️ 0 👀 201 📊 1 ⚡