Building games through natural language using OpenAI’s code-DaVinci model
This is one of those things that&#x27;s so incredible and mind-blowing I really want to share it with friends or family, but WHY it is so impressive is locked behind a high enough sophistication that it would mostly be lost on them.<p>Having written a script a decade ago about a future in which software issues would be solved not by debugging or programming, but by finding the right way to communicate concepts to AIs, it&#x27;s wild to see those nuances emerge.<p>One of the most interesting details in the post is the bit about asking for a function to create an array rather than the array itself.<p>Another was its existing &#x27;semantic&#x27; (even illusory) knowledge of the Matrix rain.<p>It&#x27;s going to be wild seeing this develop over the next few years. I&#x27;m sure we&#x27;ll soon be seeing: specialized discriminators acting as code linters (even for human produced code), efforts at having GPT-3 write more modular instructions for Codex from generalized statements, and a recursive refinement as Codex plus the selection process of humans supervising it re-enters the open source dataset which will go on to train future iterations.<p>The thing it seems so many evaluating the tech right now overlook when predicting its future is the compounding rate of improvement as opposed to the more linear rates common across past technological parallels which relied on limited human resources.