this is what we call hyper-modeling. Basically you make global precision the latent variable to be explained, just like the causes of sensory data, approximating recursive modeling of the world model

like hearing our voice when we speak, we build a world model and share it with ourselves, recursively rediscovering what, who, where, when, and how

This recursive reflection, i.e., epistemic depth, is what makes a transparent representation opaque: it's what turns a thought from an automaton to something with intent, meaning, and qualities. Epistemic depth is what takes the shirt on your back and makes it exist, for you, in this moment

Now published!

Possibly the first ToC predicated on exotic states in a mainstream journal. Yet computationally tight enough to inform AI. Here's a compression ⤵️