Hierarchical clique-structured networks can maintain multiscale coherence; biology evolved hierarchy and stigmergy as coherence solutions.

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• Hierarchical structure in interaction topology enables complex multiscale patterns that cannot exist in flat networks.claim0.817
  Explains why biological systems achieve organization across scales while language models struggle; grounds in free energy scaling
• In hierarchical systems with independent cliques, there exist parameter regimes where individual cliques maintain uniform magnetisation while others flip.finding0.793
  Shows how hierarchical topology enables local order within global flexibility; explains biological multiscale organization
• Hierarchical structures in biological systems enable local order while globally disordered, explaining complex patterning.claim0.792
  Claim that multiscale organisation produces complex patterns via clique-based local coherence
• The remarkable ability of neurons to unify toward a centralized self is an evolutionary pivot of far earlier cell communication strategies that first solved problems in navigating anatomical morphospace.hypothesis0.788
  Proposes an evolutionary trajectory linking morphogenesis to neural cognition.
• A realization of our own multiscale, nested architecture naturally leads to the conclusion that care needs to be extended to all sentient beings.claim0.782
  Extends ethical concern based on the collective nature of selves.
• LLMs require hierarchical or embodied substrates; stigmergy via environment interaction is the biological solution.claim0.777
• Evolved machines increasingly exhibit self-similar, hierarchical structure like living systems.claim0.777
  Artificially evolved neural networks and robots often lack modularity unless selected for, resembling life.
• A system is conscious if it implements self-organized second-order perception that increases global coherenceclaim0.773
  CIMC's current operational definition, precise enough to generate predictions while subject to revision