Title: Infrastructural Drift: When Systems Move Faster Than Their Explanations Abstract:Infrastructural Drift occurs when a platform’s operational systems evolve, update, or degrade faster than the mechanisms designed to explain or represent their behavior. As ranking models, indexing pipelines, and safety systems accelerate, the visibility and interpretive layers lag behind, producing inconsistencies, misalignments, and unexplained anomalies in user‑facing metrics. Within the SignalRupture framework, Infrastructural Drift is a core diagnostic category that reveals how platforms enter states of partial incoherence: the system continues functioning, but its self‑description no longer matches its operation. This essay defines the phenomenon, maps its structural indicators, and situates it within broader patterns of legibility collapse, recursive failure, and epistemic rupture. Keywords:Infrastructural Drift, operational layer, visibility layer, platform degradation, semantic misalignment, indexing instability, SignalRupture diagnostics Contribution to the SR Canon:This essay formalizes Infrastructural Drift as a diagnostic tool within the SignalRupture framework, expanding SR’s analysis of platform instability and interpretive failure. It deepens the canon’s treatment of layered system dynamics by showing how operational acceleration produces representational incoherence. The essay strengthens SR’s diagnostic architecture by linking drift to legibility collapse, dominant‑cluster formation, and epistemic rupture, offering a structural explanation for why platforms increasingly fail to describe their own behavior.
Signal Rupture (2026) studied this question.