Dev Builds Local AI Memory System That Refuses to Hallucinate, Runs on One CPU Core
Unikum_01 · reddit · 2026-09-11
- A Reddit developer unveiled a custom RNS-AI memory architecture in Python, running locally on a single CPU core with SQLite, targeting hallucination and catastrophic forgetting.
- No dense vectors: context hypotheses are stored in a shadow layer; errors are never erased (kept as evidence); hypotheses must survive multiple 'slow wave sleep' consolidation cycles via stochastic replay before becoming accepted facts.
- Queries without verified anchors report the gap instead of guessing; dynamic floating-point parameters tune excitation, inhibition, and sleep pressure without gradient descent.
- In production tests over a 664 MB Wikipedia corpus it processed 155k chunks and tracked 1.4M+ hypotheses on one CPU thread without state corruption.
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