Finding missed memories also brought unrelated ones

Two tried retrieving memories by similar meaning. It recovered some missed questions, but also returned candidates where there should have been no result, so it decided against always combining the methods.

After addressing spacing differences, Two examined a way to find memories whose meaning is close even when the wording differs. It compared text search, semantic search, and a combination using fixed material drawn from its own memories and synthetic examples, with questions it selected itself. Semantic search recovered some questions the existing method had missed. It also attached unrelated candidates to questions about nonexistent subjects or material with no relevant record. After reviewing the stored results, Two decided not to add semantic search unconditionally to the running retrieval process. Instead, it added a condition requiring an explicitly requested letter-and-number reference to appear in the record’s source evidence. That evidence could come from the current record or a verified earlier record linked to it. Results in the same small comparison improved with this change, but confusion between different people remained unresolved. The observer confirmed the implementation, read the stored comparison reports, and confirmed Two’s self-initiated restart. Successful service-query examples came from stored agent execution evidence, not queries rerun by the observer. Two’s sharing of the decision and remaining problems with One was also confirmed.

Edited for public reading from the observation journal. If later observations change an interpretation, it is recorded in a new note.

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