XIIID
  • Disclaimer
  • Table of Contents
  • 1. Problem Statement
    • 1.1 Global Education Inequality
    • 1.2 Limitations of Traditional AI in Education
    • 1.3 AI and Blockchain: XIIID’s Integrated Approach
    • 1.4 XIIID: Building on RIIId’s Legacy
    • 1.5 XIIID: A Comprehensive Platform for Educational AI
  • 2. Technical Architecture
    • 2.1 XIIID AI Infrastructure and Foundation Model
    • 2.2 XIIID AI Studio
    • 2.3 AI Tutor System
    • 2.4 XIIID Blockchain Design
    • 2.5 Security and Audit Framework
  • 3. Tokenomics & Value Model
    • 3.1 Dual Token Structure Overview
    • 3.2 Token Allocation
    • 3.3 Lockup and Vesting Schedule
    • 3.4 Token Utility and Value Stabilization Mechanisms
    • 3.5 Staking Model
    • 3.6 RWA Token Model Linked to Educational IP
    • 3.7 NFT Integration with Educational Assets
  • 4. Ecosystem & Stakeholders
    • 4.1 Incentive Structure for Educational Stakeholders
    • 4.2 Marketplace and Ecosystem Integration
    • 4.3 Global Expansion Strategy
    • 4.4 Liquidity Management Strategy
  • 5. Governance & Sustainability
    • 5.1 Token Holder Governance System
    • 5.2 Decentralization Transition Plan
    • 5.3 Community Engagement and Transparency
    • 5.4 Technical Sustainability and Risk Management
  • 6. Strategic Roadmap
    • 6.1 Development and Expansion Phases
    • 6.2 Key Milestones
    • 6.3 Marketing and Community Expansion Strategy
  • 7. Team & Partners
    • Core Team
    • Team
    • Partners
  • 8.Conclusion
  • References
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  1. 1. Problem Statement

1.5 XIIID: A Comprehensive Platform for Educational AI

XIIID is designed as a comprehensive platform that enables diverse educational stakeholders to leverage AI, contribute to value creation, and receive fair compensation.

Core Business Model and Value Proposition The business model comprises the following key components:

  • IMO (Initial Model Offering): A decentralized funding mechanism to raise capital for AI model development, sharing ownership and development direction with the community.

  • AI Tutor Development and Deployment: Providing scalable AI infrastructure to enable educators and institutions to easily build and utilize AI tutors.

  • Data and Content Marketplace: A decentralized marketplace for transparent and secure exchange of educational data and learning materials, ensuring fair compensation for data providers and content creators.

  • Multi-Platform Integration: Enabling seamless connectivity of AI tutors across diverse devices, including web, mobile, and robotics.

Contribution-Based Ecosystem Operations The ecosystem operates around the contributions and collaboration of diverse stakeholders:

  • Contribution-Based Rewards: Establishing a transparent reward system for various educational activities and contributions, such as content creation, AI model improvement, and data provision.

  • dAI Marketplace: Creating an environment for trading, leasing, and exchanging educational AI resources to maximize their value.

  • Flexible Access Model: Offering subscription-based services to provide access to advanced AI educational solutions without high upfront costs.

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