Research
External semantic governance as AI capability increases.
SIA research is presented with strict status discipline. Implemented engineering, preliminary findings, prospective embodiments, and research hypotheses are never collapsed into one level of certainty.
Status discipline
Four labels, used consistently.
Research questions
What we are investigating.
Persistence
Engineering-backed architectureCan an externally retained governance state remain a stable reference across long, multi-step, and multi-model workflows?
Authority
Prospective embodimentCan authority to change a system be kept separate from authority to change the objective governing it?
Continuity
Preliminary findingDo state-linked handoffs preserve objective, protected conditions, and unresolved findings better than conventional context transfer?
Verification
Preliminary findingHow should measured, source-grounded, model-assisted, unavailable, and inconclusive evidence be represented without overstating assurance?
Robustness
Research hypothesisCan external governance detect and interrupt unauthorized semantic or governance-state drift across successive capability changes?
Recursive self-improvement
Stated plainly.
SIA does not claim to have solved autonomous recursive self-improvement. It investigates whether an externally retained governing objective can remain authoritative as the governed system changes.
Increasing AI capability should not, by itself, constitute authority to redefine the human-originated objective governing that capability.