(v2) CogniXphere Documentation
GeneralTechnologyTokenomicsAbout
  • 💌Welcome to CogniXphere
  • General
    • 💡What is CogniXphere
    • 🤖What is Axon
      • 🔅Highlights of Axon
      • 👑What Makes Axon Distinguished
    • 🔮What is Axonverse
      • 🪄Create Axon
      • 💬Chat with Axon
    • 🫂What is Axon Edge
      • 💻Workflow
      • 🌐Data Network
    • 💸AI UGC Economy
  • Technology
    • 💻Technological Infrastructure
    • ⚒️Our Enhancements and Implementations
    • 💪Competitive Landscape
  • Tokenomics
    • 💎$FLOQ
      • 🏦Treasury and Transaction Tax
    • 🪙$XPH
      • ⏲️Allocation & Vesting Plan
    • 🖼️NFTs
  • About
    • Team
    • Investors & Backers
    • Roadmap
    • FAQ
    • Press Kit
    • CogniXphere Linktree
    • Terms of Use, Privacy & Legal
      • Terms of Use for Cognixphere AI Platform
      • Privacy Policy for Cognixphere AI Platform
      • Data Processing Agreement (DPA) for Cognixphere AI Platform
    • Disclaimer
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  • Axon Edge Users - DePin Nodes
  • Privacy Data Module
  • Data Use Cases
  1. General
  2. What is Axon Edge

Data Network

CogniXphere will construct an user preference data network founded on Axon Edge.

PreviousWorkflowNextAI UGC Economy

Last updated 1 year ago

Drawing from our AI assistant integration service, we aim to establish an extensive decentralized user preference network. Authorized users will serve as node operators and data providers, contributing valuable insights and training data for Web3 user preference learning.

Axon Edge Users - DePin Nodes

Responsibilities:

  • Contribute valid data to the network by engaging in conversations with Axon Edge and maintaining continuous interaction on-chain.

  • Furnish accurate feedback to facilitate model upgrades.

Rewards:

  • Receive node running rewards contingent upon the quality of provided data and its utilization.

  • Axon Edge undergoes continuous iteration to deliver users increasingly personalized and precise AI assistant services.

Privacy Data Module

We will encrypt node data using the data privacy module, ensuring that neither internal nor external individuals can access the original user data during network operation.

Data Use Cases

  1. AI Training

  2. Targeted Marketing

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