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What Is Embedding Drift?

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Embedding Drift The gradual shift in how a model's internal representation of a concept changes as new data is continually incorporated.

Origin:Borrowed directly from ML terminology once the effect became visible in how models' associations shifted release to release.
First Seen:2025
Peak Era:2025-2026 (Algorithmic Drift Era)
Aura Impact:+20 Aura (Catching It Early and Correcting Course) / -25 Aura (Not Noticing Until It's Already the Default)

EXAMPLE USAGE

"It took a screenshot from a friend for me to even notice the embedding drift had been happening for weeks."

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