what does /pt/ think about dataset poisoning tools like nightshade and foxglove
I've heard poisoning tools actually enrich the models and allow them to draw connections in a more accurate way, avoiding biases that they may develop if their training data was homogenous and "untampered with". I have no idea if that's true though.