AppleAnalysisAI ModelsNovember 11, 2026

Apple researchers: gating makes SSMs memorize before learning in-context

Read original source →machinelearning.apple.com

Apple-affiliated researchers show gating in state space models drives them to an in-weights memorization solution first, delaying or preventing convergence to correct in-context learning — even absent architectural or memory limits. Gating still often improves generalization to long sequence lengths.

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