For the past several years, the dominant paradigm in artificial intelligence has been auto-regressive generation: predicting the next token in a sequence or the next pixel in an image grid. While this approach produced powerful chat models and high-resolution image generators, a growing faction of researchers argues that next-token prediction inherently hits a ceiling when applied to true...
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