FrontierApple Machine Learning
KeyRank 72Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models
A fundamental shift in how language models work could reshape inference economics and energy consumption. If diffusion language models achieve parity with autoregressive models on accuracy while solving the sequential-dependency bottleneck, practitioners will need to reconsider which architectures to deploy and train.
2026-08-06
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