Skip to content
#

ai-interoperability

Here are 4 public repositories matching this topic...

Language: All
Filter by language

Theorem of the Unnameable [⧉/⧉ₛ] — Epistemological framework for binary information classification (Fixed Point/Fluctuating Point). Application to LLMs via 3-6-9 anti-loop matrix. Empirical validation: 5 models, 73% savings, zero hallucination on marked zones.

  • Updated Feb 1, 2026
  • Python

Improve this page

Add a description, image, and links to the ai-interoperability topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ai-interoperability topic, visit your repo's landing page and select "manage topics."

Learn more