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A theoretical framework for Truth Verification. (AI-Assisted Learning Project).

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System Status: Going Dark. Deep Work Protocol.

AXIOM Protocol: The Truth Engine (Concept)

Status AI-Assisted

πŸ€– About This Project

"My Road to 1% Developer" Series

This is a Proof of Concept (PoC) designed to explore advanced system architecture, Game Theory, and Python modularity.

  • Concept & Architecture: Designed by Matthew Jakubowski.
  • Code Implementation: Generated in collaboration with AI (Google Gemini) to study advanced patterns (Dataclasses, Cryptography logic).

Goal: I built this to understand how complex systems (like anti-disinformation protocols) can be structured in Python, moving beyond basic scripts to full architectural frameworks.


🌍 The Problem

In the age of Generative AI, the cost of creating fake news is zero. We need a system where truth is backed by economic stakes.

πŸ›‘οΈ The AXIOM Solution

  1. Reputation Staking: Lying costs money (Slashing).
  2. Sybil Defense: Bots cannot afford to attack the network.
  3. Provenance: Tracking the origin of data (C2PA style).

πŸš€ How to Run

python main.py

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