A new tool lets artists add invisible changes to the pixels in their art before they upload it online so that if it’s scraped into an AI training set, it can cause the resulting model to break in chaotic and unpredictable ways.
The tool, called Nightshade, is intended as a way to fight back against AI companies that use artists’ work to train their models without the creator’s permission.
[…]
Zhao’s team also developed Glaze, a tool that allows artists to “mask” their own personal style to prevent it from being scraped by AI companies. It works in a similar way to Nightshade: by changing the pixels of images in subtle ways that are invisible to the human eye but manipulate machine-learning models to interpret the image as something different from what it actually shows.
Yes, it likely exploits some weekness in the current models and new models would have to be trained to not have the same problems with these poisoned images.
The reality is it is not likely can just patch away in a quick and easy way like you make it sound. Training new models is expensive and takes time - you also have to find and figure out what exactly is causing the problems in the first place which may or may not be a trivial task especially when it is hard to understand exactly what the models are really doing.
A speed bump is really all there is so a lot of problems like this. Like security in general - it is just a giant game of cat and mice, with each side constantly chasing the next big exploit or fix. This will likely be patched eventually in models, but then some new exploit will be found and the whole process starts over again in a forever expanding loop. There are no final solutions to problems like this, just each side trying to one up the other in an ever evolving landscape. It is and will be a constant fight on each side to keep up with the other side. This news gives artists a new tool to help them, at least for the short term and one that can likely be adapted to keep it relevant for a while longer.