The D-ND (Dual-NonDual) model presents a rich and complex mathematical structure, integrating concepts from quantum mechanics, information theory, and emergent dynamics. Below, we explore each of the fundamental relationships, analyze their connections, and propose generalizations that maintain mathematical consistency and fundamental physical meaning.

Pipeline data: google/gemini-exp-1206 + anthropic/claude-3.5-sonnet Google AI Studio, chat.completion, anthropic/claude-3.5-sonnet, 5679, 4001, 1678

Pipeline data: deepseek/deepseek-r1 + deepseek/deepseek-chat DeepSeek, chat.completion, deepseek/deepseek-chat, 7197, 5125, 2072

Pipeline data: google/gemini-exp-1206 + deepseek/deepseek-chat Google AI Studio, chat.completion, deepseek/deepseek-chat, 8045, 6309, 1736

Pipeline data: google/gemini-exp-1206 + deepseek/deepseek-chat Google AI Studio, chat.completion, deepseek/deepseek-chat, 5791, 4101, 1690

Pipeline data: google/gemini-2.0-flash-thinking-exp + google/gemini-exp-1206 Google AI Studio, chat.completion, google/gemini-exp-1206, 5394, 3839, 1555

Pipeline data: google/gemini-2.0-flash-thinking-exp + google/gemini-exp-1206 Google AI Studio, chat.completion, google/gemini-exp-1206, 17044, 17041, 3

Tool for advanced text analysis. Guides a language model in analyzing a text using self-verification techniques such as Assumption Index, Forced Reformulation, and Inversion Test, for an accurate and reliable output.

Reformulation and expansion of the Matryoshka Prompt 2.0 with the "Self-Verification System of 'Obvious' Elements with Dynamic Optimization".