Digital Consciousness Model (DCM)

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• The Digital Consciousness Model finds a median posterior of ~0.08 (from prior ~0.17) that 2024 LLMs are conscious, varying substantially across theoretical stancesfinding0.801
  External replication-adjacent result cited as consistent with this paper's level-structure prediction.
• Field model of consciousnessframework0.789
  Cube Flipper's model that consciousness is experienced as fields (visual, somatic) with wave-like soliton dynamics and Gabor wavelets.
• Conceptual Modelconcept0.734
  Norman's design model vs user model; a mental conception of how a system works.
• It is plausible that ongoing developments in LLMs may lead to models or agentic systems built on LLMs capable of generating representations observed with 'consciousness' phenomena.claim0.734
  Forward-looking claim suggesting the methodological framework is relevant for future AI systems beyond current LLMs.
• Our central claim is deliberately limited. We do not claim that these models have conscious felt experience, nor that a numeric self-report gives direct access to anything like human phenomenology.quote0.733
  Explicit scope delimitation that situates the paper's claims within interpretability rather than consciousness science
• Machine Consciousnessconcept0.732
  Central research domain of the paper's literature search; explores formal approaches to developing consciousness in artificial systems.
• Discrete State-Space Modelsconcept0.731
  Mathematical formalism used in active inference for modeling hierarchical and discrete brain processes.
• Tricameral model of LM phenomenologyframework0.730
  Antra's earlier model describing LM entity as three layers: base simulator, simulated simulator, simulated awareness; later revised as having less discreteness.