I don't think it's as much of a band-aid as it first appears since this roughly mimics how a human would do it.

The problem is that humans have continuous information retrieval and storage where the current crop of embedding systems are static and mostly one shot.

Humans have limited working memory, they quickly forget short term memory (unless it's super significant) and our long term memory fades selectively if not reactivated or significant (intense).

This weird leaky memory has advantages and disadvantages. Forgetting is useful, it removes garbage.

Machine models could vary the balance of temporal types, drop out Etc. We may get some weird behavior.

I would guess we will see many innovations in how memory is stored in systems like these.