The Vektorgeist Method (VGM): Sovereign, Local, Self-Understanding AI
Alexander Parnell · VektorGeist · 2026-08-13 · preprint, not peer reviewed
One premise, taken literally: nothing is what it is in isolation, and a thing — including a self — is the pattern of its connections rather than its substrate. From it follow five commitments for building AI you can actually own: it runs locally on your hardware; it is model-free wherever a deterministic algorithm suffices, so its behaviour can be read rather than inferred; generated work is graded by an explicit rule instead of trusted for sounding right; it observes itself through a self-model that reports and cannot steer; and whatever it becomes must arise from the pattern, never be installed — the one we learned by breaking it. VGM is not one artifact but a program: small sovereign components that together make a system a person can own, inspect and trust.
Read the paper — 10.5281/zenodo.21613155
Open access under CC-BY-4.0. The DOI above is a concept DOI: it always resolves to the newest version.
Nothing here has been reproduced independently, outside the project that produced it. Every paper says so. Every page of the record says so. That is the ceiling on all of it, and it does not move until someone outside repeats the measurements.