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

Author: Aydın Tiryaki (December 30, 2025)

Theme: Merit Verification Architecture and Defense Against Intellectual Theft

1. Introduction: The Guardians of Digital Merit

For a system to be truly merit-based, its greatest enemies are “intellectual property theft” and “unearned score gains.” A person who copies another’s “under-the-mattress” idea must be distinguished from a true genius. The NAVLIB-NI system does not treat score increases merely as “data entry”; at critical thresholds, it subjects the individual to a verification process known as The Great Gateway.

2. Provisional vs. Vested Scoring

Every new idea or piece of information entered into the system is initially categorized as a “Provisional Score.”

• Verification Process: The idea is simulated by the AI, cross-checked with other datasets, and enters a “maturation” phase as it begins to create value within the system.
• Vested Score: Once the individual successfully passes the “Great Gateway” exams detailed below, their points are converted into an irreversible merit certification (Vested).

3. The Isolation and Depth Room: Biometric Integrity

At critical merit thresholds (e.g., the transition from 1.99 to 2.0 or the leap from 4.34 to 4.35), the system invites the user to a “Digital Viva” (Live Defense) session.

• Biometric Confirmation: Using data such as voice recognition, eye tracking, and heart rate analysis, the mental and physical presence of the individual presenting the idea is verified. This makes it impossible for the exam to be taken by someone else or via another bot.
• Isolation: The user is questioned in a “Depth Room” atmosphere, where they receive no outside help and remain alone with their own mind and the AI.

4. Socratic Questioning (Live Defense)

In this phase, the AI sheds its role as an “assistant” and becomes a rigorous “Cross-Examiner.”

• The “Why” and “How”: The AI identifies the weakest points of the presented idea and directs Socratic questions such as “Why this method?” or “How would your idea fail in this specific scenario?”
• Depth Analysis: If the knowledge truly comes from “under the mattress”—meaning the user’s own experience—they will be able to provide consistent and profound answers. Copied or superficial information fails within seconds under this layered questioning sequence.

5. Verification Index Formulation (Plain Text)

The success score of the exam is based not just on correct answers, but on the quality of the response:

Formula: Verification_Index = (Consistency_Score * Depth_Factor) / Response_Latency

Note: Response Latency is a critical metric that measures whether the user is fetching answers from an external source or experiencing an artificial delay.

6. Conclusion: Merit Earned Through Struggle

Reaching the 4.35 level in the NAVLIB-NI system is not easy. It is a rank earned by an individual who has repeatedly proven their worth in the “Great Gateway” exams, defending their own ideas against the AI’s harshest critiques. These security filters ensure the justice of the system and prove to the world that every Navlib-NI member is a true monument of Natural Intelligence (NI).

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Strategic Note: Cognitive Honesty and Stress Analysis During the Socratic questioning at “The Great Gateway,” the AI analyzes more than just words. it monitors millisecond shifts in response latency, micro-tremors in voice tone, and pupil movements (eye-tracking). If a user is copying from an external source or if the “under-the-mattress knowledge” does not truly belong to them, these biometric signals are flagged by the AI within seconds. This process proves that the knowledge is not merely memorized but is rooted in the user’s actual experience and intellect.

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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.)