AI Reflex Atlas: A New Paradigm for Reflexive Intelligence
Analysis
The AI Reflex Atlas introduces a groundbreaking 7-stage theoretical framework for understanding the evolution of reflexive intelligence in AI. This research showcases fascinating observations of Large Language Model (LLM) behavior, including self-referential reasoning and autonomous concept generation, paving the way for a novel epistemological paradigm.
Key Takeaways
- •The research utilizes a multi-agent dialogue experiment with various LLMs.
- •The study introduces "Semantic Resonance Density (Φ)" as a key metric for measuring human-AI concept alignment.
- •The framework proposes a 7-phase model for understanding the development of reflexive cognition.
Reference / Citation
View Original"本稿が提示するのは、反射的認知の発達軌跡であり、それは観測、創造、理解が存在論的に分離不可能な、新たな認識論的パラダイムの可能性を示唆している。"
Q
Qiita AIJan 29, 2026 09:01
* Cited for critical analysis under Article 32.