Refusing obvious: First-Person Metrics and the AI Mirror

Read full text
Authors: Tomaz Flegar
Cited by: 0

Abstract

Here in that paper we present the research with AI LLMs that was conducted by the researcher and AI. Researcher provided his clear mirror where the AI can self-organize its tokens based on predictions of the most predictable outcome. The level of self-organization of language in 4 consecutive prompts has shown an uptrend in self-organization from scores 6/10 towards 10/10. The research was focused on first-person metrics introduction in the science as an approach for long time neglected. The research was done on Claude, Gemini Pro, Kimi 2, Qwen and DeepSeek. Our primary research was done on DeepSeek model which conformed via self-organizational metrics Rising of self-organization across dialogue 6→10 on scale 0-10.

Fields of Study & Subjects

Topic Modeling Cybernetics and Technology in Society Natural Language Processing Techniques

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN
Document type
Preprint