concept
active
concept:scale-inseparabilityScale Inseparability
Central tenet: biological computation is fundamentally non-modular; molecular, cellular, and population scales bidirectionally co-determine each other without privileged level.
Neighborhood — ranked by edge-count
Communities (1)
community
- Unconventional Computationmembers_of
Concepts (4)
concept
- Biological Computationalismassociated_withimplementsCore theoretical framework: consciousness requires hybrid (discrete + continuous), scale-inseparable, metabolically embedded computation distinct from von Neumann architecture.
- Topological Constraints on Self-Organisationassociated_with
- Metabolic Constraints as Architectural Driverassociated_with
- Ephaptic Couplingassociated_withNon-synaptic neural communication through continuous electric fields; modulates excitability and encodes neural syntax for temporal integration.
Hypotheses (1)
hypothesis
- Proposed necessary conditions for any substrate (biological or artificial) to support consciousness; integrates discrete-continuous, multiscale, and adaptive properties.
Findings (1)
finding
- Greater multiscale scale-integration distinguishes wakeful conscious states from anaesthetic states.supportsEmpirical evidence (Milinkovic et al., 2025b) supporting scale-inseparability as consciousness correlate.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Meta-problem: alignment techniques may collapse under rapid self-improvement or extreme complexity
- A formal context with a suggestive interpretation used in conceptual scaling.
- The observation that larger LLMs develop more general, abstract linear representations (e.g., truth across diverse topics) compared to smaller models
- Implication of PRH for 'scale is all you need' argument
- The observed pattern that ESR appears predominantly in the largest model tested, suggesting scale-dependence
- Central hypothesis proposing that cognitive capacities scale across biological organization levels from cells to organisms via computational boundaries.
- The property that living structures contain centers at a beautiful range of sizes at well-marked levels with definite jumps, where each level helps the next; jumps should not be too great (ideally 2:1 to 4:1, less than 10:1)