# 1. Abstract ### NAXION #### AI Infrastructure and Service As a Public Blockchain Network Blockchain technology is a decentralized recordkeeping system where transactions are securely linked in a chain of blocks. Unlike traditional centralized databases, blockchain operates without a single controlling authority, ensuring that data is independently distributed and stored across the network. This structure makes it highly resistant to hacking and manipulation, as any attempt to alter recorded data would result in disconnection from the chain. The system's structure ensures high efficiency and transparency by distributing ledger copies to all network participants and requiring new transactions to be validated through node consensus. NAXION is a next-gen Layer 1 blockchain integrating AI for scalability, transparency, and decentralization. With full decentralization, AI-driven nodes, and ultra-low fees (less than 1/100,000th of Ethereum’s), it seamlessly merges blockchain, AI, and Web 3.0 into everyday life. Optimized for performance, NAXION’s advanced EVM smart contracts enable seamless Web3 app deployment. Its user-friendly APIs for tokenization and consensus empower developers to build scalable, next-gen internet ecosystems." NAXION distinguishes itself from conventional blockchains with its high throughput, rapid finality, low and predictable transaction fees, fair transaction ordering using consensus timestamps, and a Go-based architecture that enhances scalability and network reliability. --- # 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://naxion.gitbook.io/naxion-white-paper/english/1.-abstract.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.