📖The Three Layers of PublicAI

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).

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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.

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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.

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Summary of PublicAI Layers

Layer	Purpose	Key Components
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