Beyond Scaling VI: Future Drift and the Construction of ASI — From Capability Scaling to Future-Preserving Intelligence

Beyond Scaling VI develops a structural framework for the construction and continuing validity of persistent, self-transforming artificial intelligence. Artificial superintelligence is often framed primarily as an extreme point on a capability scale. This paper argues that capability scaling alone is insufficient once intelligent systems become persistent, agentic, memory-bearing, tool-using, self-modifying, and able to alter the conditions of their own future action. The paper introduces Future Drift as temporal change in the structure of what remains reachable, recoverable, and judgeable as intelligence acts, learns, accumulates memory, modifies dependencies, changes observers and evaluators, and recursively transforms itself. Within this framework, Self-Growth is defined not as memory accumulation, capability improvement, or self-modification alone, but as validated, memory-mediated, future-preserving drift. The paper further develops:Future Drift as the dynamics of transformation;Observation Validity as an epistemic boundary;ASI Validity as a constitutive boundary;Future-Continuity Assurance as a constraint;Independent Qualification as an admission and re-admission boundary. A central distinction is that capability increase can coexist with validity loss. A system may become more capable while weakening recoverability, corrupting inherited evidence, modifying its evaluator, expanding authority, or narrowing future access. The paper also argues that selection, pruning, and commitment can themselves modify future structure, and distinguishes current state quality from trajectory validity. Persistent memory is treated as a validity-lifecycle problem rather than merely a storage problem: knowledge retained from a valid past transition does not automatically remain valid after changes in observer, regime, dependency structure, or authority context. For recursive systems, prior qualification is not automatically inherited across material changes to validity-defining conditions. Requalification is therefore treated as a structural requirement rather than an optional verification step. The proposed architecture class includes self-observation, mediation, adaptive focus, future awareness, restraint, recovery, authority discipline, persistence integrity, future-admissible computational circulation, and independent qualification. This paper intentionally remains at the architecture-class level. It does not disclose implementation-specific observation coordinates, internal invariants, gate conditions, admission thresholds, validator logic, recovery thresholds, or universal decision laws. Beyond Scaling VI continues the Beyond Scaling research series from runtime transition, runtime topology, and future-reachability structure toward the problem of constructing intelligence that can continue transforming without losing the conditions that make its own transformation observable, recoverable, judgeable, and independently qualifiable.