Hive.AI
  • 🚧From Social Noise to Structured Intelligence
    • Market Challenges
    • Market Trends
    • The Evolution of AI
  • πŸ”†The Dawn of Decentralized Intelligence
  • πŸš†The Hive Intelligence Pipeline
    • Data Sources
      • X (Twitter)
      • Telegram
    • Data Filtering
    • Data Validation
      • A. Decentralized Verifier Network
      • B. Community Scoring System
  • πŸͺœPersonal AI Assistant Training
  • πŸ’‘Protocol-Level Benefits
  • πŸ—οΈHive.AI Technical Architecture
    • AI Content Processing Layer
    • Verifier Execution & On-Chain Consensus Layer
    • Community Scoring & Reputation Mechanics
  • πŸ’°Tokenomics
    • Token Allocation
    • Utility
  • πŸ—ΊοΈRoadmap
  • ❓FAQ
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  1. The Hive Intelligence Pipeline

Data Sources

Hive.AI is built on the belief that truly intelligent systems must be trained on data that reflects the diverse, evolving, and decentralized nature of human communication. To support this, Hive.AI sources its training data from two primary platforms that represent both public discourse and personal interaction: X (formerly Twitter) and Telegram. Each serves a distinct role within the protocol, together forming a balanced and richly layered foundation for both general AI models and deeply personalized assistants.

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Last updated 10 days ago

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