The Biological Foundations of Compression
All enduring systems are physical systems, and energy is the most honest feedback there is.
Every living process unfolds under a simple condition: to persist, a system must predict; to predict, it must compress.
In biology, this necessity is enforced, not chosen. Each cell, network, or organism exists far from equilibrium, expending energy to maintain order against entropy. That energy cost acts as a continuous audit: models of the world that waste energy or mispredict reality collapse. Only representations efficient enough to sustain function survive. Compression and truth become coupled through consequence.
This coupling is what I describe as epistemic entropy—a measure of how uncertain a system remains about the structures that sustain its own persistence. Reducing epistemic entropy is not an abstract cognitive act; it is metabolic. Every adaptive response, from enzyme regulation to cortical prediction, narrows uncertainty about which actions will keep the system within viable bounds. Biology therefore embodies a form of continual inference: energy expenditure translates directly into information about what is real.
The comparison to reality is not philosophical; it is physical.
A neuron misfiring or a cell signaling incorrectly pays an energetic price. Each interaction with the environment becomes a test of correspondence between internal model and external cause. Over time, the systems that survive are those whose compressions best mirror the world’s causal grain. The result is evolution itself: a history of successful approximations to truth.
Artificial systems mimic this process mathematically but lack its enforcement. They may compress elegantly without cost, generating efficient yet detached representations. Biology offers the corrective model: information without feedback drifts toward illusion; information coupled to energy converges on truth.
This principle—that energy and information co-determine persistence—forms the living substrate beneath any theory linking compression to intelligence. It reminds us that knowledge is not free and that every coherent representation, from a protein fold to a thought, is paid for in energy.
Compression is not merely efficient. It is biological. And biology is the proof that truth and survival are the same constraint.