About
Compression-Aware Intelligence (CAI) is the framework that treats hallucinations and contradictions not as errors to eliminate, but as measurable signals of representation strain inside any cognitive system, and uses those signals to guide stability, coherence, and self-correction.
More about CAI
CAI makes AI systems compression-aware, so they can see where meaning is being lost, measure strain before it becomes hallucination, and make reasoning traceable and reliable.
What to use
- Compression sites: identify where information is reduced.
- Compression Tension Score (CTS): quantify the cost of each compression.
- Contradiction handling: map conflicts and use them as signals.
- Provenance entropy: measure how strong or diffuse evidence is.
- Auditability: make steps replayable and verifiable.
How to cite
If CAI helps your work, please cite the overview and link to this site so others can find the source.