I haven't tested this again on the latest models though, so not sure if there's been an improvement.
I haven't tested this again on the latest models though, so not sure if there's been an improvement.
A lot of people don't realize this because the work that they are having the AI do does not need to be either true or false. It just has to output media that seems like it fits. The system probably took many shortcuts to keep the resource use low while outputting something plausible but false.
And frankly this is sort of fine as long as you know what it's doing and what the limitations are. Hypothetically if you broke up the task into multiple steps that the system can actually ingest properly it might reduce the time that the task took overall, maybe even significantly, but not down to one prompt.
(I'm not saying "you're holding it wrong", I'm asking "how were you holding it"?
Did you tell it to pull in the sources, did it do so automatically, or were you working from just the base weights? )