Your AI memory's trust scores are a foreign key to an embedding model that might not exist in six months.
Summary
A critical observation about AI memory systems: trust scores tied to embedding models break when the model is swapped, and recalibration becomes meaningless because the embeddings change. The author questions whether anyone has solved this without rebuilding trust logic.
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