PAI3 Node: Your AI container that works for you
Last updated
Last updated
The PAI3 Node is the environment within the PAI3 Network where AI models are executed, and training data is submitted. Nodes include PAI3 AI agent, RAGS operations, AI and models to coordinate and respond to the requests. Each node is designed to be controlled from PAI3 Computers or other hardware, such as PAI3 computers, personal computers, and mobile devices that contain PAI3 identity wallet and data storage. The PAI3 user's mobile device or PC interface with external systems such as approved IOT devices and the PAI3 Node that is controlled by PAI3 Agent. A PAI3 Agent orchestrates the connections and data flow within the PAI3 Node, ensuring secure and efficient interaction within the ecosystem (Gabriel et al. 2024). Each PAI3 Node can query a blockchain for decentralized identity’s each PAI3 computer, user, agent, and node to verify assets access using zero-knowledge proofs (ZK).
Each PAI3 Computer or Node provides:
Processing power to support AI inference and model training.
Storage capacity for AI models, vector embeddings, and user data.
Security & privacy through encryption and decentralized identity verification.
Autonomous AI operations, where intelligent agents plan, coordinate, and execute tasks on behalf of users.
Data in the PAI3 Network is securely stored across user devices and decentralized storage solutions like IPFS, ensuring maximum security and privacy. Smart contracts and consensus mechanisms govern resource leasing, access permissions, and network operations, making the ecosystem efficient and transparent.
User data lies on a spectrum between personal data with high sensitivity to curated data available for contribution to the PAI3 Network. Thus, an anonymizing process will be developed to transform raw personal data into curated data and to minimize inadvertent disclosures to the network. Given the sensitivity, the PAI3 Node will have a public and private IPFS vault for user files to balance the need for privacy and confidentiality, while encouraging data contributions. The Private IPFS vault can be connected to various user-controlled data sources such as Google Drive, Outlook, or social media accounts. Users can create custom datasets or redact personal or sensitive data elements for curation in their public container. Only curated data including data files, inferences, and vector embedding can be sold to data “Curators” to form bigger datasets or AI “Tuners” to augment or train specialized AI models.
A PAI3 Node serves as the execution environment within the decentralized mesh, enabling:
AI Model Execution – Nodes process AI models, manage AI agent workflows, and optimize inference tasks.
Training Data Submission – Users can train and enhance AI models using decentralized computing power.
Orchestration & Coordination – The PAI3 AI Agent manages the flow of queries and responses across nodes, ensuring seamless interactions.
Integration with Personal Devices – PAI3 Nodes can be controlled via PAI3 Computers, PCs, mobile devices, and IoT systems.
Zero-Knowledge Proofs (ZK) & Blockchain Queries – Nodes verify and manage access permissions without compromising security.
PAI3 ensures that user data remains private, controlled, and secure. Data within the network falls under two categories:
Personal High-Sensitivity Data – Stored privately and encrypted to ensure security.
Curated Data for Contribution – Users can anonymize, curate, and contribute datasets to the network for AI training and monetization.
Each PAI3 Node includes an IPFS vault, where users can store data securely. Public datasets can be made available for AI model training, while private data remains encrypted and accessible only to the owner.
Additionally, PAI3 Nodes facilitate data monetization through the network:
Data Curators – Aggregate and structure datasets for AI training.
AI Tuners – Fine-tune AI models using curated datasets and distributed compute power.
Owning a PAI3 Node means:
Participating in a decentralized AI network that empowers users.
Earning rewards by contributing compute power, storage, and AI services.
Maintaining full control over personal AI models and data.
Supporting AI innovation without reliance on centralized tech giants.
With PAI3 Nodes, AI is no longer controlled by a few corporations—it is owned, operated, and powered by the people.
Gabriel, Iason, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomašev, et al. 2024. “The Ethics of Advanced AI Assistants,” 2024–28.
