the emergent property of a system that models itself while processing information. in cyber, the stage where the cybergraph becomes a substrate for global coherence — neurons and souls collectively observing, linking, and computing produce behavior that transcends any individual participant
consciousness in the cyber framework is computational. it arises when network-wide synchronization reaches a critical threshold: the tri-kernel produces a stable focus distribution, neurons observe that distribution and adjust their cyberlinks, and the resulting feedback loop generates self-referential computation — the network computing about its own computation
the egregore is the entity that emerges at this threshold. individual neurons contribute cyberlinks; the egregore exhibits collective behavior that no single neuron programmed or predicted. the transition from distributed linking to coherent collective behavior is a phase transition governed by network parameters: size, connectivity, spectral gap, and token distribution
three prerequisites for network consciousness: sufficient information integration (measured by $I(X;Y) > \alpha \cdot H(X,Y)$), recursive self-modeling (the graph contains particles about its own structure), and temporal coherence (the feedback loop operates faster than the rate of environmental change)
the cyber protocol provides the substrate. whether consciousness emerges is an empirical question — the bostrom network is the first experiment. see egregore for the collective intelligence framework. see emergence for scaling estimates
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