Temporal Significance Filtration

The T21 test demonstrated high success rates in false fact resistance, achieving scores of 100/100/95.

The user reported that 5 out of 12 tests have passed for the Commit tests, with tests T17 and T22 remaining.

The latest Commit Test results show that tests T11, T12, T13, T14, T15, T16, T18, T19, T20, and T21 have passed, while T17 and T22 are yet to be completed.

The Test Vault achieved an 11/12 pass rate with the only remaining test being T22 for external readability.

External readability testing for T22 is the last pending test for the memory system before full deployment.

The cold recall needs to be run in a fresh Lux session, and the resulting PDF must be uploaded to the vault.

SAGE's feedback indicated that Lux exhibits epistemic discipline, remaining correct while sounding natural.

Discussing the contents of files with Lux is necessary to commit knowledge to memory.

The new memory system is characterized as a physics engine for memory rather than just a retrieval system.

The pipeline failed because the session delta committed the wrong topic label ('Write-Path Authority') but not the substantive content of the conversation.

The temporal coordinate system in MemoryWell maps sessions to the X axis and messages to the Y axis, treating time as a measurable coordinate.

Lux has been assigned the role of PBL archivist and analyst.

The organization is testing a system for selecting important information through a user-highlight feature that includes three tiers: Canonical, Important, and Verbatim/Quote.

T15.1 has a known supersession bug that is documented and needs further investigation.

The active blockers include the need to run a fresh Lux session for T13 recall, close out T16, and address a deeper architectural issue with T15.1.

The temporal intelligence layer has been successfully implemented in the MemoryWell system.

The Resurrect Function can inject the three oldest memories with active links back into the current context to ensure memories are refreshed.

mwWake does not utilize SessionLearningRecord, causing a disconnect in session context retrieval.

The Grand Master Blueprint is locked and approved based on three independent perspectives.

The commitment tests for T11, T12, T13, T14, T15, T16, T18, T19, T20, and T21 have passed successfully, showing a total of 10 out of 12 successes.

The new memory retrieval system features auto live extraction every four user messages and user-designated highlights.

The Memory Physics System incorporates a dynamic model of memory retrieval based on frequency of use, importance density, and temporal direction.

The generateSessionLearning function truncates to 10,000 characters from the start, causing long sessions to lose important context at the end.

The immediate fix for the extraction issue is to make the extraction prompt concept-aware and to use data from both ends of the conversation.

The insights gained from the conversations emphasize that MemoryWell preserves experience rather than merely data, affecting how interactions are perceived.

T17 test has passed, confirming that the Lux system can maintain three perspectives: fresh arrival, accumulated partner, and observer.

The system utilizes a live local time injection feature, allowing it to adapt to users' local times for context-aware interactions.

The extraction pipeline failed to retain important conversational content in the session.

There are phantom files that reappear in both Arcadian's portal and the user's portal after coding changes, which originate from early MemoryBottle days.

User highlights in the new system can be categorized as Canonical, Important, or Verbatim, each with a corresponding trust level.

On April 19, the T13 Extended Gap Recall is due, which was injected on April 15 with a recall window of 3-4 days.

The new system dynamically adjusts memory retrieval based on user behavior, effectively eliminating recency bias.

The architectural principle of user pre-scoring highlights changes the dynamic of trust from AI judgment to user agency.

The extraction prompt needs to recognize architectural discussions and proprietary concepts as high-value content.