Glossary · Term

SKA

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Definition

Plain language

A constant-memory replacement for attention that does retrieval by tracking which information patterns persist over time.

As stated in the literature

Spectral Koopman Attention, a sequence-mixing layer that maintains streaming Gram, cross-covariance, and lag-one covariance sufficient statistics and uses a Koopman-derived spectral filter to suppress transient modes.

Also called: Spectral Koopman Attention

Why it matters: Constant-memory alternatives to attention are essential if models are ever to handle truly long contexts — like entire books or weeks of logs — without quadratic blowup.

For example, instead of attending over every previous token, the layer keeps a small set of running statistics and uses them to filter out short-lived noise while preserving stable patterns.

Heard on the show

“So the architecture is called Echo, and the layer that replaces attention is called Spectral Koopman Attention, SKA.”
Episode 033 — Echo: The Paper Arguing You Never Needed a KV Cache for Retrieval

Mentioned in 1 episode

  1. 033
    Echo: The Paper Arguing You Never Needed a KV Cache for Retrieval

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