The Architecture of Pattern From Silicon to Sentience
Reddy Govind
Zenodo (CERN European Organization for Nuclear Research) 2026 preprint DOI: 10.5281/zenodo.18742810 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper |
|---|---|
| Key points | Argues that every known information system, whether a silicon CPU or a biological brain, shares a three-part architecture: charged particles forming patterns in a private substrate, translation mechanisms converting those patterns into public signals, and receiving systems rebuilding internal representations. Contends that the translation boundary between inside and outside is a measurable, quantifiable feature rather than a philosophical curiosity. |
Abstract
All information processing — whether in a silicon CPU or a biological brain — rests on the same fundamental architecture: charged particles (electrons or ions) form patterns within a private physical substrate; translation mechanisms convert those private patterns into public signals (light, sound, symbols); and other systems receive those signals and rebuild internal representations from them. This paper grounds that claim in established empirical evidence from physics, neuroscience, information theory, and cognitive science. It argues that the translation boundary between inside and outside is not a philosophical curiosity but a measurable, quantifiable feature of all known information systems — with direct consequences for how we understand computation, consciousness, and communication.