# Litepaper The Litepaper introduces a decentralized AI model service solution designed to overcome the limitations of centralized AI service providers. It introduces the concept of AI shard on the TOP AI Network, which provides a platform where model providers and users can interact securely and freely. The AI shard tackles issues like censorship, lack of model diversity, data privacy concerns, and high computational costs. Key features of the AI shard: * Censorship-resistant models and computing power * Data privacy protection with technologies like Zero-Knowledge Proofs * Permanent data ownership through blockchain and decentralized storage * A transparent and traceable system with permanent records The ecosystem has three main participants: AI application developers, model providers, and computing nodes. Developers pay for model services, and model providers pay computing nodes for their services. The system uses token mining rewards to incentivize model providers and computing nodes based on their contributions. The AI shard aims to make AI models and computing power more accessible, promoting innovation and efficiency in AI applications. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://litepaper.topnetwork.org/litepaper.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.