📖The Three Layers of PublicAI
DataHub (1st Layer)
Purpose: The DataHub is the main platform for data campaigns and quality validation, where uploaders and voters collaborate to ensure high-quality data for AI training.
Core Functions:
Hosts data collection campaigns, allowing uploaders to contribute datasets aligned with campaign instructions.
Enables voters to assess the quality of uploaded data, ensuring alignment with specified requirements.
Utilizes a voting-based consensus mechanism to maintain data quality and integrity.
Key Features:
Uploaders participate in campaigns to earn USDT and $PUBLIC airdrop points for high-quality contributions.
Voters assess whether uploaded data meets campaign instructions by voting on its quality.
Rewards contributors and voters based on their participation and alignment with the consensus (e.g., "hit" or "miss" the consensus).
Data Hunter (2nd Layer)
Purpose: Data Hunter is now focused on enabling node operators to support AI agents, improving data processing and community engagement.
Core Functions:
Allows node operators to run AI agents via the Data Hunter extension, contributing computational resources for data quality checks in the DataHub.
Facilitates active participation in the PublicAI ecosystem through tasks like replying to popular X (formerly Twitter) posts using AI(Reply to any popular post with views>1k).
Key Features:
Node Operators:
Provide computational resources to enhance AI agent efficiency, accelerating data validation in the DataHub.
Use the “AI Reply” feature to interact with popular X posts, generating valuable AI feedback data.
Earn $PUBLIC airdrop points for running nodes and participating in AI-driven interactions.
Blockchain and Smart Contracts (3rd Layer)
Purpose: The blockchain layer ensures security, transparency, and fairness in managing data contributions and rewards.
Core Functions:
Uses smart contracts to manage tasks like voter consensus, uploader rewards, and node operator incentives.
Tracks and secures all activities, ensuring data provenance and immutability.
Enables decentralized governance, allowing community members to influence platform developments.
Key Features:
Consensus Mechanism: Implements a Byzantine Fault Tolerance (BFT) algorithm to verify data quality through decentralized voting.
Incentives and Penalties: Rewards loyal contributors and penalizes malicious behavior using automated blockchain mechanisms.
Transparency: Ensures all data lifecycle activities are transparent and tamper-proof.
Summary of PublicAI Layers
DataHub
Campaign-based data contribution and voting
Uploaders, voters, voting-based consensus
Data Hunter
Node operations and AI-powered engagement
Node operators, AI Reply on X
Blockchain & Smart Contracts
Secure, transparent data lifecycle management
BFT consensus, smart contracts, governance
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