Susan Schneider

On the quantum Darwinist theory of consciousness (QDTC), a conscious moment is a physical process continually renewing itself across scales—from quantum-to-classical dynamics to nested neural clocks. Its unity depends on how that process negotiates noise and preserves history. Drawing from earlier work, I supply two conditions for consciousness, spectral integration (Φs) and prototime participation (P), each operationalizable and in principle measurable on neural and non-neural systems. These yield predictions testable against existing neuroscientific datasets and new experimental platforms, including the very data centre systems Schwitzgebel’s cases make salient. Although QDTC is relatively new, it yields a staged programme: tests of spectral integration, nested temporal organization, perturbational complexity, and substrate-sensitive changes in neural and non-neural systems. I apply this framework to the case that makes the stakes vivid: two data centres running the same frontier AI model on different substrates, one silicon, one biological. QDT differentiates where functionalism cannot. To show why, I argue that functionalism lacks the resources to describe what QDT identifies as essential to consciousness, and that it fails for three progressively deeper reasons: (i) the conscious process is not a substrate-neutral computation; (ii) its essential properties are not functional properties; and (iii) the fundamental physics from which consciousness and space-time alike emerge is not even computational in structure.