AGILE-The Blockchain for AGI
  • Introduction
  • Motivation
  • Core Principles
  • On-Chain AGI Registry
    • On-Chain Decentralized GPU Node Registry
    • On-Chain AI Model Registry
    • On-Chain AI Agent Registry
    • On-Chain AGI Training Data Registry
    • On-Chain Model Creation & Decentralized Training
  • On-Chain GPU Bidding Marketplace
  • AGI Council and Governance Framework
    • AGI Council and Transparent Governance
    • AGILedger Governance: Empowering Transparent & Inclusive AGI Innovation
    • AGI Council: Driving Inclusive and Responsible AGI Governance
    • Robust Security and Compliance
    • Adaptive and Scalable Governance
  • Core Components
    • Blockchain Layer
    • Storage Layer
    • Compute Layer
    • Interface Layer
  • User Experience Flows
  • Architecture
    • Layer-1 Blockchain Foundation
    • Smart Contracts & Protocol Modules
    • Oracles & Layer-2 Extensions
    • Advanced Security & Privacy Measures
  • Use Cases
    • Decentralized AGI Marketplace
    • On-Chain Federated Learning
    • Open-Source Model Collaboration
    • Data-Sharing Platform
    • Incentivized Knowledge Graphs
  • Tokenomics
    • Phase 1: Community Rewards Token
    • Phase 2: $AGILE — The Native Utility Token
  • Conclusion
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  • Governance
  • Overcoming Key Challenges

User Experience Flows

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Last updated 1 month ago

Model Registration

Detailed, secure IPFS-based registration example:

Model and Agent Deployment

  • Users query via intuitive natural language interface.

  • Automated resource matching, payment channel establishment, and secure model deployment via blockchain-managed interactions.

Governance

  • DAO model for transparent and democratic management of system upgrades, changes, and strategic direction.

  • Token-weighted voting allows stakeholders active participation and influence.

  • Expert technical committee oversees security compliance, audits, and proactive network enhancements.

Overcoming Key Challenges

  • Model Privacy: Integrating encryption and ZKP methodologies for secure model validation.

  • Resource Allocation Efficiency: Utilizing predictive AI algorithms and robust reputation systems for optimal resource allocation.

  • Complexity of User Interface: Advanced conversational AI simplifies the user experience significantly.

  • Quality Assurance: Implementing comprehensive automated testing, community-driven reviews, and robust reputation metrics.