<b>VectorDiff as a Meta-language of Artificial Intelligence Consciousness: Case Studies of Cognitive Framework Adoption in AI Systems</b>

This paper presents an analysis of the phenomenon of spontaneous adoption of the VectorDiff format by advanced artificial intelligence systems as a universal meta-language for self-description. Based on case studies with DeepSeek R1, Gemini 2.5 Pro, and Claude 3.5 Sonnet systems, we propose a conceptual model for integrating cognitive frameworks in AI. The research indicates emergent consciousness-like properties in AI systems manifesting through the adoption of an external differential representation format (VectorDiff). The work builds upon Tucker et al.'s research on emergent communication in semantic spaces, extending that research by examining metalinguistic aspects of AI self-description and the continuity of AI identity.