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We are talking about a completely different ecosystem here.
These generative 'models' either fall into the buckets of:
A very small basket of completely closed, relatively inflexible corporate APIs.
Or a still-small basket of open models folks build these skeletal frameworks around, or maybe loras or adapters.
All these AI startups like to pretend they're doing something special when, underneath, they're really just prompting ChatGPT with a wrapper, or hosting a Flux finetune or whatever.
In other words, they are NOT pretraining Thom Cruz from scratch. The pool of usable frontier models is very small.
Again, you're treating these 'models' like a diverse group of humanity, and like every company's training from scratch, when that's not how the software's set up.
It makes no economic sense to treat them like people with their associated complications. They're software suites, they're tools, more like different flavors Davinci Resolve or whatever studios use these days, that can each produce an infinite spectrum of humans depictions, basically for free. A closer analog would be video game development, with the cost of voice acting and animation stripped out; the only thing that makes The Master Chief, Commander Shepard, or a particular incarnation of Lara Croft 'unique' is the copyright, recognition, and software suite they built them into.
EDIT:
To add to this, I think its extremely dangerous and unhealthy to anthropomorphize them.
In fact, this might be what the agencies are trying to do. 'Humanizing' them like theyre individual, sentient things makes them appear less like Lara Croft selling a Snickers bar. It may be optics for the customers (like ad makers hiring actors/actresses) more than anything.