MIT study: AI image outputs often untraceable

MIT CSAIL researchers found attribution decay: in large diffusion models, removing any single training image, artist, or person often leaves outputs unchanged. The team built a "diffusion ensemble" architecture to test this exactly, publishing results in Nature Communications. The finding raises questions about copyright and fair use.