This article seems to be reading a lot into the word choice of a spokesperson, who is almost certainly very far removed from the model development process
I consider it pointless. All you need to do is train new models to ignore the introduced distortion. Learning how to ignore the distortion will make the models more robust.
This article seems to be reading a lot into the word choice of a spokesperson, who is almost certainly very far removed from the model development process
I consider it pointless. All you need to do is train new models to ignore the introduced distortion. Learning how to ignore the distortion will make the models more robust.
Then a new distortion will be created that avoids the distortion detection of the new models. Ad infinitum.
I think it’d be nicer if we could just mark web images as ‘do not train on’?