MIT researchers found that as diffusion models scale, individual training examples have less measurable influence on outputs, and this “attribution decay” could complicate AI copyright, auditing, and governance.
Taryn Plumb is a Contributing Writer and Editor at various publications. She specializes in AI and cybersecurity, covering topics such as generative AI, machine learning, and software development, while also exploring themes related to human resources and workforce dynamics. Taryn's work has been featured in notable outlets including Maverick Studios, InfoWorld, and VentureBeat.