# ABSTRACT BitNet is a blockchain infrastructure designed to address fundamental limitations in current decentralized networks, including performance bottlenecks, validator concentration, fragmented liquidity, and high entry barriers. It introduces a modular architecture that separates its mainnet, secured by Proof of Stake (PoS), from application-specific subnets, which may optionally adopt a hybrid consensus model that includes Proof of Useful Work (PoUW) for high-throughput or computation-heavy use cases. The BitNet platform supports multi-layered scaling through native integration of Optimistic Rollups, adaptive subnets, and composable smart contracts. This enables low-fee, high-speed execution across financial applications, NFTs, gaming, AI processing, and enterprise systems. Developers can choose from EVM, WASM, and MoveVM execution environments and leverage no-code tools, audited SDKs, and pre-built modules to speed up deployment. To support global participation, BitNet reduces the validator stake requirement, offers flexible economic incentives, and integrates slashing systems that discourage malicious behavior while accommodating operational mistakes. Its economic design includes a predictable halving mechanism, a capped token supply, and a governance structure anchored in multiple DAOs. The ecosystem encompasses a native DEX, launchpad, bridge, oracle layer, subgraph services, and decentralized storage optimized with adaptive compression and sharding. BitNet also addresses rising concerns around future threats with quantum-resistant cryptography and AI-decentralized identity (AI-DID) frameworks. --- # 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://bitnet-whitepaper.gitbook.io/bitnet-whitepaper/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.