Sage Union Whitepaper
  • Introduction
    • Project Overview
    • Problem Statement
    • Vision & Mission
  • Market Overview
    • Current Issues in the Information Ecosystem
    • Potential of Human-AI Collaboration
    • Competitor Analysis & Differentiation
  • SageUnion Solution
    • System Components
    • Human-AI Collaboration Model
    • Definition & Creation of High-Quality Information
  • Platform Architecture
    • Telegram Mini-App Structure
    • Data Collection & Processing Workflow
    • AI-Based Information Evaluation Mechanism
    • Reward Distribution Logic
  • Tokenomics
    • Token Overview (SAGU)
    • Total Supply & Distribution Plan
    • Token Utility & Rewards
    • Revenue Model & Sustainability
  • Governance & Community
    • User Participation Structure
    • Voting & Decision-Making Mechanism
    • Community Incentives
  • AI Learning & Quality Control
    • Data Collection Standards
    • AI Evaluation Logic
    • Continuous Learning Framework
  • Roadmap
    • Development Phases
    • Beta Launch & Official Release Timeline
    • Long-term Vision
  • Team & Partnerships
    • Team Introduction
    • Advisory Board & Partners
    • Strategic Partnerships Plan
  • Conclusion
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  1. SageUnion Solution

Human-AI Collaboration Model

SageUnion’s core strength lies in its Human-AI Collaboration Model, a framework that combines the unique strengths of human contributors and artificial intelligence:

  1. Weekly Question Submission: The platform releases one question each week, carefully curated to collect useful, insightful, and factual information across various fields.

  2. Community Contribution: Users submit their answers or data through the Telegram Mini-App. Each response is stored on the platform and prepared for AI evaluation.

  3. AI Evaluation & Scoring: The AI engine evaluates each response using criteria such as accuracy, depth, originality, and factual consistency. High-quality contributions are scored accordingly.

  4. Reward Allocation: Based on the AI’s evaluation, the platform automatically distributes SAGU tokens to users as a reward for their participation and the quality of their input.

  5. Continuous Feedback Loop: Over time, the AI engine learns from community feedback and continuously improves its evaluation algorithms to enhance accuracy and fairness.

This model ensures that human intelligence and AI capabilities complement each other, resulting in the accumulation of reliable, valuable information.

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Last updated 6 days ago