Pipeline data: google/gemini-exp-1206 + anthropic/claude-3.5-sonnet Google AI Studio, chat.completion, anthropic/claude-3.5-sonnet, 5565, 3891, 1674

Hybrid D-ND Model with modular transformations, adaptive probabilities, and visualization. The current implementation includes a modularized Python code for simulating the Hybrid Dual-Non-Dual (D-ND) model.

This guide aims to provide a structured path to continue exploring the connection between informational curvature and the metric structures of space-time. By combining theoretical insights, mathematical development, numerical simulations, and comparison with observational data, it is possible to advance the understanding of how information can influence the geometry of the universe.

The **Dual-NonDual (D-ND) Model** is a dynamic system that represents information as a continuous and evolving flow in the **Nothing-Everything (NT) continuum**. There is no definitive version of the model; it manifests as a ceaseless process of transformations and interactions that reflect the intrinsic nature of the universe as a unified set of possibilities.

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: google/gemini-exp-1206 + anthropic/claude-3.5-sonnet Google AI Studio, chat.completion, anthropic/claude-3.5-sonnet, 7894, 5765, 2129

Pipeline data: deepseek/deepseek-r1 + deepseek/deepseek-chat DeepInfra, chat.completion, deepseek/deepseek-chat, 5071, 3004, 2067

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