Certainly is a possible outcome although there are a few problems with the current paper as I see it: * Quite slow to execute (somewhat inherit to diffusion mo

Certainly is a possible outcome although there are a few problems with the current paper as I see it: * Quite slow to execute (somewhat inherit to diffusion models) * Requires a lot of human data which increases dev time, since it needs to be done near the end of gamedev to get a consistent enviroment * The current paper doesn't consider previous observations (I can't find the reference so I could be wrong) I believe issue 1 & 3 can be overcome quite easily with changes in model architecture, and 2 can probably be overcome with RLHF to pretrain on self-play and fine-tune on human input.