PAI3 Glossary

PAI3 Glossary

This glossary provides key terms and definitions used within the PAI3 ecosystem, ensuring a clear understanding of the platform, its governance, and its decentralized AI framework.

A

• Artificial Intelligence (AI) – The simulation of human intelligence by machines, enabling them to learn, reason, and solve problems.

• AI Agent: An autonomous software entity within the PAI3 ecosystem that executes AI-driven tasks on behalf of users, leveraging decentralized infrastructure.

• AI Building AI: The concept of AI models training and optimizing other AI models using decentralized computing power and PAI3 AI Studio.

• AI Inference Machine: The system that enables AI agents to process queries, analyze data, and generate outputs based on decentralized computing and vector embeddings.

AI Model – A system trained on data to perform tasks such as language processing, image recognition, or decision-making.

• AI Model Builder: A PAI3 tool that allows users—technical and non-technical—to create, train, and deploy custom AI models using decentralized resources.

• AI Personalization: The ability of PAI3 AI agents to tailor responses based on user-specific data, preferences, and secure inputs, ensuring personalized AI experiences.

B

• Blockchain – A decentralized, immutable ledger used in PAI3 to store identity credentials (DIDs & VCs), track AI transactions, enable Quadratic Voting governance, and ensure transparency in compute resource allocation.

• Burn Mechanism – A process where tokens are permanently removed from circulation to control supply and increase value.

• Burn Rate: A deflationary mechanism where a percentage of transaction fees and network earnings are permanently removed from circulation to reduce token supply.

C

• Containerized AI: A framework that packages AI models and data into secure, portable environments that can run across decentralized nodes, ensuring interoperability and privacy.

•Computing Power – The processing capability of hardware that supports AI model training and execution.

• Compute Resource Allocation: The method of distributing computational tasks across PAI3 nodes to maximize efficiency and performance.

• Community Pool: A funding reserve in the PAI3 tokenomics model dedicated to community initiatives, rewards, and incentives for contributors.

• Curated Vector Package: A dataset that has been anonymized or structured for specialized AI training and sold within the PAI3 Marketplace.

D

• Decentralized AI (DAI): The concept of distributing AI computation, model training, and inference across a decentralized network to prevent centralization by tech giants.

• Decentralized Autonomous Organization (DAO): A governance model in which PAI3 stakeholders and token holders make decisions through Quadratic Voting and smart contracts.

• Decentralized Identifiers (DIDs): Blockchain-based identifiers that provide self-sovereign identity management within the PAI3 ecosystem, ensuring privacy and user control.

• Decentralized Network – A network where control is spread across multiple participants rather than being centralized.

• Deflationary Tokenomics: A token economy where supply decreases over time through mechanisms like halving schedules and burn rates to increase scarcity and value.

E

• Emission Schedule: The timeline over which PAI3 tokens are released, following a 25-year structured emission model with halving every four years.

• Earnings Model: The system that allows PAI3 users to earn tokens by contributing computing power, providing data, training AI models, or running PAI3 Nodes.

F

• Fair Launch: The process of distributing PAI3 tokens without private or public sales, ensuring equitable access to all users.

G

• Governance AI Agents: AI-driven systems that monitor governance processes, detect voting manipulation, and ensure Quadratic Voting integrity.

• Governance Token – A token that grants voting power to users, allowing them to influence decisions in the ecosystem.

H

• Halving Schedule: A structured deflationary event where PAI3 token emissions are reduced by 50% every four years, following a model similar to Bitcoin.

I

• Incentivization Model – The structure that rewards users for contributing computing power, AI models, or data.

• Inference Engine: The AI component responsible for processing queries and generating responses, utilizing vector embeddings and retrieval-augmented generation (RAG).

• IPFS Vault: A decentralized data storage system where PAI3 users can securely store and retrieve files, vector embeddings, and AI models.

L

• Legion of the Free Mind: A movement within PAI3 representing users who support decentralized AI, privacy-first systems, and freedom from corporate AI monopolies.

• LangGraph: A graph-based orchestration framework that enables multi-agent workflows within PAI3 AI agents, allowing seamless AI coordination.

M

• MainNet: The fully operational and decentralized version of the PAI3 Network, enabling live AI transactions, model hosting, and token staking.

• Marketplace: The PAI3 decentralized exchange where users can buy, sell, and trade AI models, datasets, computing resources, and vector embeddings.

• Mesh Computing: A decentralized network of connected nodes that collectively provide AI processing power, model training, and inference services.

• Mining (for AI) – The process of contributing computational power to the PAI3 network and earning token rewards in return.

N

• Node (PAI3 Node): A computing unit that contributes to the PAI3 decentralized network, running AI models and processing tasks.

• Node Token (PAI3nt): A non-fungible token (NFT) representing ownership of a PAI3 network node, granting access to AI compute slots and rewards.

• Non-Fungible Token (NFT) – A unique digital asset representing ownership, sometimes used for AI-related resources in PAI3.

P

• PAI3 AI Studio: A low-code and no-code AI model-building platform that enables users to create, train, and deploy AI models without technical expertise.

• PAI3 Computer: A dedicated AI hardware device designed for running personalized AI models, storing vector embeddings, and securing private data.

• PAI3 MainNet: The operational decentralized supercomputer where AI models, tokens, and governance activities are executed.

• PAI3 Marketplace: The digital exchange where users trade AI models, datasets, and compute power in a decentralized environment.

• PAI3 Tokens – The native cryptocurrency used within the PAI3 ecosystem for transactions, governance, and rewards.

• PAI3 Wallet: A self-sovereign identity wallet that holds PAI3 tokens, manages earnings, and facilitates governance participation.

• PAIneer: The AI-powered interface in PAI3 that coordinates multi-agent workflows, integrates AI models, and provides personalized AI experiences.

• Personalized AI – AI models that adapt to individual users, maintaining control and privacy without relying on centralized entities.

Q

• Quadratic Voting (QV): A governance model where voting power scales non-linearly, preventing large stakeholders from dominating decisions and ensuring fair representation.

R

• Retrieval-Augmented Generation (RAG): An AI technique that enhances LLMs by integrating external data sources, ensuring real-time, accurate responses.

S

• Smart Contracts: Automated, self-executing blockchain contracts that enforce governance rules and enable transparent, trustless transactions.

• Staking: The process of locking PAI3 tokens to secure network operations and earn rewards.

T

• Token Generation Event (TGE): The initial release of PAI3 utility tokens, marking the beginning of ecosystem-wide transactions and governance.

• Token Liquidity Pool: A reserve of PAI3 tokens allocated for market stability, transactions, and decentralized exchanges.

• Tokenomics – The economic structure governing the issuance, distribution, and value of PAI3 tokens.

V

• Validator – A participant who verifies transactions and secures the network, often rewarded with tokens.

• Vector Embeddings: Numerical representations of language or data that enhance semantic search, AI reasoning, and RAG performance.

• Verifiable Credentials (VCs): Blockchain-based identity credentials that allow users to prove access rights within the PAI3 ecosystem.

W

• Web 3.0 – The next-generation internet, focused on decentralization, blockchain-based identity, and AI-driven automation, forming the foundation for PAI3’s trustless AI economy.

•World Computer: The vision of PAI3 as a decentralized AI mesh network, where users collectively own, run, and monetize AI resources.

This PAI3 Glossary provides a foundational understanding of key concepts in the PAI3 decentralized AI ecosystem. It will be continually updated as the platform evolves.