The Three Layers of PublicAI

Last updated 4 months ago

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.

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