Independent Research in Hybrid Cognition and Living Systems
HibriMind develops conceptually rigorous and publicly inspectable research across two connected domains: hybrid cognition and human–AI systems; and the relational organisation of living systems.
Research is organised around persistent questions, with clear distinctions between observation, scientific interpretation, and ontological inference.
Recent Research
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Where the Self Places Conflict: Reality Resistance, Organism–Environment Coupling, and Conditional Return
A VIVENS state-space-inspired framework for understanding conflict as a bidirectional organism–environment process, linking reality resistance, action possibilities, physiological persistence, identity, and the conditional potential for return to viable…
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The Beast Is Not the Model: Inter-Algorithmic Observability, Distributed Organogenesis, and the Ontological Sovereignty of the Hybrid Observer
Large-scale AI systems cannot be reduced to their underlying models. This paper develops a multiscale ontology of deployed AI systems, introducing inter-algorithmic observability, algorithmic organogenesis, functional individuation, and…
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The Beast Is Not the Model: A Priority Note on the Distributed Ontology of Large AI Systems
This provisional edition establishes a dated public record of the framework while the full manuscript remains under development. Its purpose is to preserve conceptual priority, make the emerging…