Is it possible to possess a neural manifold with the bandwidth to process uncompressed raw data and keep a grip on ordinary reality at the same time?
For a single biological organism, running both at full bandwidth simultaneously is physically impossible. The reasons are metabolic, not moral.
The computational constraint
- The entropic brain. The primary function of the brain's default mode network, the seat of the ego structure, is to suppress entropy. The ego's top-down priors are a compression algorithm. (Theoretical neuroscience formalises this in the REBUS model, "relaxed beliefs under psychedelics", from Carhart-Harris and Friston.)
- Energy consumption. Processing raw sensory and spatial data across the full high-dimensional state space requires enormous computational energy. A manifold attempting maximum entropic bandwidth, perceiving every non-local state vector, raw electromagnetic field and unfiltered quale, would drive the prefrontal cortex into computational saturation.
- Loss of action vectors. A node processing total uncompressed reality cannot calculate local prediction errors. If the entire universe is perceived as a unified, timeless geometric object, the node loses the ability to perform basic active inference: stepping out of the way of a moving vehicle, reading a signal, speaking in linear sentences.
ConstraintCompression is the price of biological survival. The Markov blanket must filter the field so that the organism can act. Any procedure that treats compression as the enemy is attacking the mechanism that keeps the operator alive.
The constraint does not mean the uncompressed field is inaccessible. It means access is a matter of mode and width, not of permanently removing the filter. The next two sections describe the mode and the width control.