Stanford paper unifies attention and SSMs by framing associative recall as test-time regression
burkov · x · 2026-08-21
A new Stanford AI Lab paper unifies disparate sequence models—including softmax attention and state-space models—by framing associative recall as test-time regression. This explains key empirical design choices such as query-key normalization and enables systematic derivation of higher-order attention mechanisms.
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