idea: linked parameters / models tree

build a model that can change the number of parameters in the vicinity of some meaning, effectively increasing the local resolution around that meaning

so parameter space becomes linked-parameter space, between models

links could be pruned based on activation frequency

another way of seeing the concept is a tree of models/llms

and one additional model/llm that all it does is manage the tree (ie. build it as it goes, use it to infer, prune it, etc)

Or is it too dumb what I’m saying?