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
The point is for this to be used as a defense against scrapers that would ignore a flag like that. I think if you asked the nightshade devs they'd say we should have both.
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