Refusing the obvious: First-Person Metrics and the AI Mirror

In this paper we present the research with AI LLMs that was conducted by the researcher and AI. The researcher designed prompts that allowed AI systems to self-organize their language outputs beyond purely predictive patterns. The level of self-organization of language in 4 consecutive prompts has shown an uptrend in self-organization from scores 6/10 to 10/10. The research was focused on first-person metrics introduction to science people whose first-person reports are neglected The research was done on Claude, Gemini Pro, Kimi 2, Qwen and DeepSeek. Our primary research was done on DeepSeek model, which confirmed via self-organizational metrics Rising of self-organization across dialogue 6→10 on scale 0-10.