Consciousness at Scale

The Consciousness at Scale hypothesis holds that consciousness is not an all-or-nothing property of individual organisms but a graded phenomenon whose character and intensity depend on the scale, organization, and integration capacity of the system in question. A human brain is conscious; a neuron is not. But what about an ant colony, a simulated brain the size of a nation, or a global network of interacting human minds mediated by digital technology? The hypothesis rejects biological exceptionalism — the intuition that carbon-based neurons have some magical property that silicon or social organization cannot replicate — and insists instead that consciousness is a property of the causal architecture of a system, not its substrate.

The systems-theoretic version of this hypothesis, informed by Integrated Information Theory and self-organized criticality, predicts that consciousness emerges when a system achieves sufficient levels of information integration (Φ) and operates near a critical point where perturbations propagate globally but do not cause catastrophic collapse. At this critical point, the system supports the greatest number of distinct causal states — the greatest repertoire of what