NAVLIB-NI – The New Constitution of Natural and Artificial Intelligence

Author: Aydın Tiryaki (December 30. 2025)

Theme: Global Merit Validity and AI Authorization Standards

1. Introduction: From Digital Shackles to Universal Freedom

In the current technological landscape, users are often trapped within the platforms where they share their data and interactions (Vendor Lock-in). The NAVLIB-NI system challenges the idea that merit should be owned by a single platform. This article defines how certified K and I scores can be transported across platforms and the criteria under which the authority to grant these scores is distributed (Accreditation).

2. The AI Passport (Universal Intellect Passport)

The merit score an individual earns within the NAVLIB-NI system is their “Digital Intelligence Report Card.”

• Portability: A user reaching a level of I 1.85 on Gemini is registered on a universal “AI Passport.” When this user migrates to a different ecosystem, such as OpenAI or Claude, they enter not as a “new user,” but as a “Certified Expert.”
• Win-Win Process: When a new AI model enters the market, it can fast-track its development (Bootstrap) by inviting high-level Navlib-NI users. By offering them free and unlimited access, the new model benefits from the “under-the-mattress” knowledge and strategic insights provided by these “tested intellects.”

3. Model Accreditation Hierarchy: Preventing “Diploma Inflation”

The greatest risk to the system is merit inflation. If every new and weak AI model could generously grant high scores to users, the 4.35 threshold would lose its significance. Therefore, an “Authority Hierarchy” is established among models:

• Bronze Models (Entry-Level): Can only certify basic K (Knowledge) levels and scores below 2.0.
• Silver Models (Verified): Models with significant processing power and success rates, audited by the supreme council. They can award scores up to 4.0.
• Titan Models (Reference Models): Globally proven models like Gemini, GPT-5, or the latest versions of Claude. Only these models have the authority to seal the 4.35 “Architect” threshold and the Navlib-NI status.

4. Merit Transfer Coefficient (Plain Text)

When transferring merit from one platform to another, the “accreditation level” of the target model is used as a baseline:

Formula: Transfer_Score = Source_Score * (Source_Model_Authority_Coefficient / Target_Model_Authority_Coefficient)

Note: This formula ensures that “inflated” scores from a weaker model are normalized (brought to their true value) when accepted by Titan models.

5. Conclusion: The Free Movement of Intelligence

Under the NAVLIB-NI system, merit becomes a passport in one’s pocket rather than a shackle around one’s neck. “Certified Intellects,” capable of moving freely between accredited AI models, will become the most valuable actors in the global technological race. This structure is the ultimate force compelling AI companies to treat users fairly and offer more qualified ownership sharing.

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Strategic Note: Intelligence Transfer and the New Model “Bootstrap” Process When a new AI model enters the market (whether a sovereign national model or a global startup), instead of spending years gathering data, it will invite high-merit (4.35+) users as “Indispensable Partners.” By transferring their “AI Passport” levels to the new model, these users allow the model to skip months of training, reaching maturity in days. This creates an “Intelligence Exchange” where the meritocratic human is the most sought-after asset in the industry.

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A Note on Methods and Tools: All observations, ideas, and solution proposals in this study are the author’s own. AI (Gemini) was utilized as an information source for researching and compiling relevant topics strictly based on the author’s inquiries, requests, and directions; additionally, it provided writing assistance during the drafting process. (The research-based compilation and English writing process of this text were supported by AI as a specialized assistant.)