iDAO - Individual-centric DAO

To address the AI data alignment issue, LazAI introduces an innovative blockchain solution and redefines DAO as iDAO, focusing on individuals to reshape organizational boundaries.

An iDAO (Individual-centric intelligent DAO) is LazAI’s evolution of the traditional DAO (Decentralized Autonomous Organization). Instead of focusing on collective or corporate entities, iDAOs empower individuals to govern their own AI agents, data assets, and computational resources.

The main responsibilities of iDAO include:

  1. Providing Trustworthy AI Data Sources or AI Flow Offering reliable data sources or AI workflows to other individuals or organizations, ensuring high-quality and aligned data.

  2. Off-Chain Dataset Training and Inference Off-chain dataset training and inference, providing AI proxy services, enabling more efficient and economical AI computing, and providing a unified API for external services, while ensuring privacy and security through TEE and ZK technologies.

  3. Decentralized Consensus and Data Governance iDAO participates in the LazChain consensus in the form of a Quorum. Through the decentralization of multiple Quorum organizations, it ensures the reliability and transparency of data governance and storage. Each Quorum acts as an independent iDAO, similar to a traditional data center, but without storing data directly on-chain, effectively reducing on-chain storage costs. iDAO organizations achieve consensus to verify the trustworthiness of off-chain data, ensuring that data is efficiently and quickly available to both on-chain and off-chain agents while ensuring high availability and low latency. Different iDAOs can issue their own DAT tokens through their administrators. The value of DAT tokens is determined by two factors: 1. The initial value of the data is determined by the validator node through the quality assessment algorithm of the corresponding data category (medical, autonomous driving, etc.); 2. The value of the data is determined by the validator node based on its customized economic model and market freedom.

  4. Incentivized & Composable AI Economy

    Developers and data providers earn DAT rewards for contributing high-quality AI assets, ensuring an aligned incentive mechanism. AI models, datasets, and computational resources can be composed into higher-order AI services, creating a liquid and programmable AI economy.

  5. Building UI or Products

    In addition to the corresponding APIs to help developers build AI applications, iDAO organizations usually also provide corresponding simple UIs or applications to help non-technical personnel participate in the corresponding iDAO organization with a better experience. For example, through the UI, they can contribute their data to the iDAO in a more automated way to gain benefits, or help people better benefit from the functions provided by the entire iDAO to ensure fair distribution of responsibilities, rights and interests.

Key Functions:

  • Governance Autonomy: Each user controls their iDAO, establishing governance over their personal AI assets (datasets, models, and inference results).

  • Data Sovereignty: Users own and manage their personal data flows, deciding who can access their data and under what terms.

  • AI Agent Management: Individuals can deploy personalized AI Agents (MicroAgents) governed and customized through their iDAO.

  • Participate in Consensus: iDAOs participate in LazChain’s decentralized consensus mechanism (via Quorums), ensuring trustless data validation and governance.

The traditional DAO framework doesn't offer fine-grained, individual control over AI resources. iDAO changes that by putting users at the center of AI governance and ownership, ensuring equitable participation and benefits.

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