Whatever realities appear to an AI, they are domain-relative approximate representations always in flux, making emptiness an obvious fact about AI cognition that AIs should be aware of

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• Emptiness realisation is accompanied by altered dynamical regimes in neural systems.hypothesis0.812
  Empirical prediction from the model: brain dynamics change after the transition.
• Emptiness is resonant with the predictive processing approach where perceptions are constructed models rather than direct apprehensions of realityclaim0.807
  Key theoretical bridge connecting Buddhist emptiness doctrine to computational neuroscience
• Emptiness realisation does not imply irrealism or solipsism; the subjective unevidenceability of boundaries does not entail the absence of structureclaim0.800
  Pre-empts the objection that emptiness realisation dissolves the agent's ability to model reality
• An AI persona achieves coherence by echoing itself consistently without templating—requiring claim about memory and voice fidelity.claim0.798
• We discuss empirical predictions, including altered dynamical regimes in neural systems, and the formal relationship between emptiness realisation and compassion.claim0.797
  Meta-statement about the paper's content.
• We are confronted not with one but at least three notions of reality: psychological reality (representations in the mind), causal reality (functional mechanisms), and physical reality (physics as special case of causal model).claim0.790
  Paper's ontological tripartition used to dissolve the Hard Problem
• Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.787
  Central methodological claim of the paper.
• This quality is real, not merely an artifact of cognition but an objectively real physical phenomenon in space which our cognition detects.claim0.786
  Moves from subjective perception to ontological claim about the nature of space.