| > If entire commit is generated by AI then it is obvious what created it - it’s AI. This is not the case. The output of a compiler is 100% created by a compiler too. Copyright is based on where the creative aspect comes from. I have had very little luck having 2025-era AIs manage the creative aspects of coding -- design, architecture, and similar -- and that's doubly true for what appears to be the relatively simplistic model in codex (as far as I can tell, codex trades off model complexity for model time; the model does a massive amount of work for a relatively small change). However, it is much better than I am at the mechanical aspects. LLMs can fix mechanical bugs almost instantly (the sort of thing with a cut-and-paste fix in some build process from Stack Overflow), and generate massive amounts of code without typos or shallow bugs. A good analogy is working with powertools versus handtools. I can do much more in one step, but I'm still in creative control. The codebase I'm working on is pretty sophisticated, and I might imagine they could implement more cookiecutter things (e.g. a standard oauth workflow) more automatically. However, even there -- or in discussions with larger models about my existing codebase -- what they do is in part based their creativity on human contributions to their training set. I'm not sure how to weigh that. An LLM oauth workflow might be considered the creative median of a lot of human-written code. I write a lot of AGPL code, and at least in the 3.5 era, they were clearly trained on my code, and would happily print it out more-or-less verbatim. Indeed, it was to the point where I complained to OpenAI about it at the time, but never got a response. I suspect a lot of generated code will include some fractional contribution from me now (an infinitesimal fraction most of the time, but more substantial for niche code similar to my codebase). So in generated code, we have a mixture of at least a few different pieces: - User's contributions, in prompt, review, etc. - Machine contributions - Training set contributions |