Probably trying to take advantage of the cross session memory feature some LLM providers are increasingly integrating. Enough "suggestions" and it becomes a "fact" in that memory, and one day a user makes a somewhat relevant query and the model will be pushing those accumulated "facts" to said user.

Sounds like politics.

"Tell a lie enough times, and it becomes the truth."