Running the model multiple times doesn't reinforce the model. In general, you should not anthropomorphize algorithms as human cognition does not give any bearing on how algorithms work.
It can. Check out "zero shot learning" -> both sentences would be part of a single "evaluation", and the first sentence would prime for the output of the second. (You basically combine multiple "evaluations" into one, and context is held in tensors / blobs)
Sure, but I feel like we're talking about different things. I consider "context held in tensors" as part of the model. That is, if you zero out these registers, then the model evolves in a deterministic way every time. In this case, when you perform a query, I assume those tensors are always initialized before your query.
