Makes sense to me. I have always thought that if the goal is to emulate human-level intelligence then developers should consider the human brain, which not only has multiple centers of cognition dedicated to different functional operations, but also is massively parallel with mirroring as a fundamental part of the cognitive process. Essentially LLMs are just like the language centers being forced to do the work of the entire brain.

More functional systems will develop a top level information and query routing system with many specialized sub-models, including ongoing learning and integration functions. The mirroring piece is key there, because it allows the cognitive system to keep a “stable” copy of a sub-model in place while the redundant model is modified and tested by the learning and integration models, then cross checking functions between the new and old version to set which one gains “stable version” status for the next round of integration.

Anyway, thanks for sharing.