
This paper derives a finite-system framework for ambiguity, drift, operational control, bounded memory, substrate inspection limits, and autonomous operation. Starting from finite distinguishability, nonzero state-change cost, and finite throughput, it argues that ambiguous instructions create runtime drift surfaces under selection pressure, while minimum-ambiguity structures move failure from runtime interpretation to design-time verification. The paper presents a hardened theorem core: ambiguity as a finite interpretation set, conditional cheap-path drift, minimum-ambiguity collapse, recursive ambiguity traps, conditional drift-mode enumeration, operational algebra over finite constraints, finite blind-spot formulation for inspectable substrates, and bounded-state memory under explicit assumptions. Later evidence upgrades derive the N-decomposition from FSSTP mode structure, formalize the semantic uniqueness of the seven operational dimensions, derive the inspection-wall framework, and derive the structure of the four control ratios. Companion and support files include ΣΦL v2.2 as the active translation/codebook reference, the AST derivation support supplement for the classical-witness and P2-attractor bridge, and other related late-stack papers on ΣΦL and self-referential convergence.
Drift, operational algebra, bounded memory, AI alignment, RLHF drift, temporal spiral memory, minimum ambiguity, T. Prather, ΣΦL, finite systems, Shannon capacity, autonomous systems, AI safety, FSSTP, PIEC, Landauer principle
Drift, operational algebra, bounded memory, AI alignment, RLHF drift, temporal spiral memory, minimum ambiguity, T. Prather, ΣΦL, finite systems, Shannon capacity, autonomous systems, AI safety, FSSTP, PIEC, Landauer principle
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