Hive.AI
  • đźš§From Social Noise to Structured Intelligence
    • Market Challenges
    • Market Trends
    • The Evolution of AI
  • 🔆The Dawn of Decentralized Intelligence
  • 🚆The Hive Intelligence Pipeline
    • Data Sources
      • X (Twitter)
      • Telegram
    • Data Filtering
    • Data Validation
      • A. Decentralized Verifier Network
      • B. Community Scoring System
  • 🪜Personal AI Assistant Training
  • đź’ˇProtocol-Level Benefits
  • 🏗️Hive.AI Technical Architecture
    • AI Content Processing Layer
    • Verifier Execution & On-Chain Consensus Layer
    • Community Scoring & Reputation Mechanics
  • đź’°Tokenomics
    • Token Allocation
    • Utility
  • 🗺️Roadmap
  • âť“FAQ
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  1. Tokenomics

Utility

  • Verifier Staking – Users stake $HAI to become verifiers, enabling them to review AI-filtered content and earn rewards for accurate validation. Slashing penalties apply for low-quality or malicious reviews.

  • Contribution Rewards – Users who submit high-quality content that passes AI filtering and human verification receive $HAI as a reward, encouraging valuable data input into the system.

  • Community Scoring Participation – Token holders can rate verifier decisions anonymously, with their scoring accuracy affecting the reputation weight of verifiers and earning small $HAI incentives.

  • Governance – $HAI grants voting power in protocol-level governance, including upgrades, reward adjustments, verifier policies, and model release parameters.

  • Personal AI Access – Premium features such as advanced assistant fine-tuning, additional training capacity, and analytical tools require payment or staking of $HAI.

  • Ecosystem Fees – Future integrations—including API access, cross-platform syncing, and third-party dApps—may require $HAI for usage or licensing.

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Last updated 9 days ago

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