Joe is a regular freelance journalist and editor at Creative Bloq. He writes news, features and buying guides and keeps track of the best equipment and software for creatives, from video editing programs to monitors and accessories.
have improved massively in quality, reaching the point that their output can be hard to distinguish from photography at times. But can they get any better? That might depend on whether they can avoid AI cannibalisation. , a tool that's designed to"poison" AI-image generators by providing corrupted training data. But it seems that the generators could end up poisoning themselves.
This means that if the developers of AI image generators want new training data for future models they may need to rethink they they get it from, or find a way to identify and remove AI images, which could increase the cost of development. It also suggests that adding content credentials that enable the public to identify AI-generated images could also be in the interest of developers themselves, helping them to avoid including these images in future training.
It may be that AI image generators already have all the training material that they need for quality and variety, but if they are to be retrained to be able to identify new trends and inventions, it seems that they will need the same quality of human-created art and photography that they were trained on the first time around.Daily design news, reviews, how-tos and more, as picked by the editors.
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