Facts change. An earnings forecast is revised. A policy is amended. A medication dose is corrected. An entity record is updated.
Many AI memory systems retain both the old and new versions. When retrieval ranks both highly, stale information can silently enter the model context.
We built Lians to prevent that failure while preserving the historical record. That is a meaningful technical claim, especially for regulated AI, so it should be independently tested rather than accepted as marketing.
The challenge
We have opened a public challenge asking developers to try to break Lians temporal recall.
