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Stanford researchers launch Next-Concept Modeling, a new AI architecture that generates text 10, 31 times faster than strong diffusion models. The system uses a coarse-to-fine hierarchy of discrete codes, achieving comparable quality while requiring 4, 5 times fewer training-token exposures on benchmarks like LM1B and OpenWebText.
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