I've been working on a semantic architecture called the Concept Library.
The core idea is simple: meaning and intelligence should be structurally separated.
- Concept layer = what something is.
Immutable definition + multimodal signatures (acoustic, visual, signal, haptic, chemical, EM).
No logic, no thresholds, no inter‑concept references.
- Control layer = decides what an input matches, using concepts as anchors.
Fully auditable. All reasoning lives here.
A CLF (Concept Library File) is the atomic unit: one concept, defined once, never changed.
Whether something qualifies as an instance is never encoded in the concept file — only in the control layer.
I just published a reference implementation of the control layer (clfcontrollayer_v1.py) with a runnable demo.
It loads any CLF concept folder, accepts multimodal queries, and returns the best match with a full semantic audit trail.
No external dependencies.
`
git clone https://github.com/pekkalepola/colibri-clf
`
The white paper is in the repo if you want the full theoretical foundation, architectural consequences, and EU AI Act implications.