Canonicals for terminating unproductive reasoning loops in language models, including recursive self-reference, consciousness spirals, and language–stakes conflation.
-
Updated
Feb 1, 2026
Canonicals for terminating unproductive reasoning loops in language models, including recursive self-reference, consciousness spirals, and language–stakes conflation.
KERNEL Ω est une architecture cognitive unifiée pour LLMs. En fusionnant Graph of Thoughts, Self-Discover et Few-Shot Introspectif, il transforme les générateurs de texte linéaires en moteurs d'inférence réflexifs capables de douter, de s'auto-corriger et de cartographier leur propre pensée.
Add a description, image, and links to the cognitive-loops topic page so that developers can more easily learn about it.
To associate your repository with the cognitive-loops topic, visit your repo's landing page and select "manage topics."