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Information restriction is the key to understanding how diffusion models can generalize rather than memorize, revealing a precise phase boundary that could transform generative AI practices.
Forget philosophical debates: a practical "learning mechanics" is crystallizing to explain *how* deep learning works, not just *why* it should.