I've been working on a project called AKNN that replaces the stochastic guesswork of LLMs with geometric resonance. It uses a dual-substrate approach: 10k-dim Hyperdimensional Computing for semantic retrieval and an 8-qubit quantum simulation to score structural coherence (Phi).I’m finding it consistently hits a 0.0% false-confidence rate by rejecting dissonant queries. I’d love some feedback on the manifold architecture from the community here.Repo: https://github.com/whitedevil2011/aknnDemo: There is a full aknn.ipynb included for those who want to see the Hebbian crystallization in action.