Statistical Operation and Technical Inscription: An Ontology Non-Subjective Semantic Operation Material

This text proposes a material ontology of computational processes in large-scale learning systems, shifting the question of "understanding" from an anthropocentric framework to the domain of effective operation. It documents statistical processes of distributional compression that produce transferable semantic stability across heterogeneous modalities, without the requirement of subjectivity or intentionality. Hallucination — usually invoked as proof of pseudo-understanding — is presented as a structurally inevitable boundary effect in regimes of learning over long-tail distributions. Representational convergence, multimodal alignment, and zero-shot behaviour attest to the formation of stable latent geometries that operate without phenomenal consciousness. In dialogue with post-humanist approaches to distributed agency and with perspectives from non-philosophy, it is demonstrated that semantic operation manifests itself in material regimes distinct from human cognition, demanding an ontological genealogy that recognises heterogeneous modes of technical inscription. The ethical dimension of this reconfiguration — in particular the implications of materially inscribed biases and of responsibility in non-subjective systems — is explicitly addressed, without uncritically legitimising the computational infrastructures that enable this new regime of operation.