I feel like one way to do this would be to break up models and their training data into mini-models and mini-batches of training data instead of one big model, and also restricting training data to that used with permission as well as public domain sources. For all other cases where a company is required to take down information in a model that their permission to use was revoked or expired, they can identify the relevant training data in the mini batches, remove it, then retrain the corresponding mini model more quickly and efficiently than having to retrain the entire massive model.

A major problem with this though would be figuring out how to efficiently query multiple mini models and come up with a single response. I'm not sure how you could do that, at least very well...

A couple I didn't see on the list:
https://www.pcgamingwiki.com/wiki/AI:\_The\_Somnium\_Files
https://www.pcgamingwiki.com/wiki/AI:\_The\_Somnium\_Files\_-\_nirvanA\_Initiative
https://www.pcgamingwiki.com/wiki/Rune\_Factory\_3\_Special
https://www.pcgamingwiki.com/wiki/Rune\_Factory\_5

Huh, is there an option for being immortal in Kenshi but in the "you are immortal but not invincible" way, so characters never die but they still need someone to come along to save them and fix them up before they can move again? I used to simulate this in Rimworld with the bleeding out mod that kept pawns from dying upon losing most vital organs for a very short time combined with a mod that made them regenerate lost parts at 10% efficiency until it fully regenerated, leaving them unable to do anything but still alive until recovery.