> How is changing history If you're aruging about historical accuracy, but still want accurate looking generated images, I don't know what to say. But to the

> How is changing history If you're aruging about historical accuracy, but still want accurate looking generated images, I don't know what to say. But to the technical point, A large part of the training corpus has biases that if left unchecked would cause PR based disasters for the company hosting it. ie the classic black teenager/white teenager. Now as training of models is not an exact science, and neither is the fine tuning, its analogous to forcing a water balloon into a square box. Its possible but it has odd side effects when you get to the corners. When making a _product_ you need to choose the least worse failure case. For grok it was for a long time, pandering to the ego of the owner. For Google, who is an advertising company, its about trying not to scare advertisers. This means everthing must be vanilla