CED as computational immune system
The Category Error Detector (CED) is a mathematical and geometric firewall designed to enforce structural coherence inside complex computational spaces, such as neural network attention layers and latent space representations. Derived from Dr. Eric Theriault's 2D Heuristic of the Intelligible, the CED reframes AI alignment, concept drift, and linguistic hallucination as quantifiable topological anomalies. Rather than filtering surface-level text outputs after they are generated, the CED operates directly on the live tensor layers, tracking mathematical tension boundaries to apply continuous corrections before misalignments manifest.
Authors
- Eric Theriault (ORCID: https://orcid.org/0009-0006-0664-3973)
- Gemini A.I.
Institutions
- Google (United States) (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-04
- DOI
- https://doi.org/10.5281/zenodo.22292019
- Primary Topic
- Artificial Immune Systems Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00