chatGPT being able to write OpenAI API code is great, and all companies should prepare samples so future models can correctly interface with their systems. But

chatGPT being able to write OpenAI API code is great, and all companies should prepare samples so future models can correctly interface with their systems. But what will be needed is to create an AI that implements scientific papers. About 30% of papers have code implementation. That's a sizeable dataset to train a Codex model on. You can have AI generating papers, and AI implementing papers, then learning to predict experimental results. This is how you bootstrap a self improving AI. It does not learn only how to recreate itself, it learns how to solve all problems at the same time. A data engineering approach to AI: search and learn / solve and learn / evolve and learn.