@eniko About the only place I can see generative AI being useful is in filler text and dialogue and similar areas where adding detail is prohibitively expensive especially for a small team. I wouldn't completely write off ML as an element of procedural generation - ML is a just a type of procedure - but for now at least, you'd likely spend as much time training the system as you would writing a traditional generator. I'd be interested in what kind of terrain, conversation, maps, etc. a hybrid system could produce, what sort of 7-fingered artifacts you'd end up with from ML, and how to detect, prevent, and patch over them. I'm not convinced the heavily promoted GPT systems would help (too many techbros involved) but someone more interested in the result than in not paying for writers and artists and programmers might do something interesting.