On April 28, at The Scaling DeAI Summit · TOKEN 2049 Dubai, Xiong Yu, co-president of Endless Web3 Genesis Cloud, released the Endless AI white paper Endless AI: A Decentralized Intelligent Creator Ecosystem, elaborating on its vision and strategy of integrating AI and Web3 technologies to promote decentralized innovation.
Endless is a decentralized smart protocol that aims to connect the Web2 and Web3 ecosystems, provide developers with a one-stop Web3 application development platform, and provide users with a Web2-level experience.
Endless, a public chain based on the Move programming language, integrates a variety of AI functions and plug-ins, and is committed to becoming the best bridge between AI and Web3. It enables developers to build Web3 AI applications more simply and quickly in a modular way, and promotes the arrival of AI agent super-intelligent systems.
Endless AI White Paper: The Vision of Decentralized Intelligence
The newly released Endless AI whitepaper describes Endless AI, a decentralized framework that helps developers build self-improving, incentive-driven AI applications by combining artificial intelligence (AI) with Web3 and blockchain technologies. The Endless Web3 infrastructure supports AI in the following ways:
On-chain learning: AI models can access blockchain data (such as transaction history, smart contract interactions) to optimize decision-making.
Decentralized data sovereignty: User data is stored encrypted in decentralized networks such as IPFS, ensuring privacy and compliance.
Token economic incentives: Through the Proof-of-Useful-Work (PoUW) mechanism, EDS tokens reward AI model trainers, node operators and other contributors.
By strategically integrating AI-generating capabilities with Web3 ownership principles (blockchain and token economics), Endless AI aims to:
Give creators true ownership: Provide a one-click IP confirmation tool to mint AI works into verifiable NFTs with their own royalties and on-chain records of unalterable sources.
Automation and decentralized management: Deploy autonomous AI agents governed by smart contracts to enable automated and transparent copyright management, plagiarism detection, and payment allocation, eliminating high-cost intermediaries.
Establish a fair incentive mechanism: Build a tokenized ecosystem (EDS) to reward the contributions of creators, data providers, AI model trainers, and validators, ensuring that value flows directly to ecosystem builders.
Achieving privacy-preserving advanced AI: Using the Model Context Protocol (MCP) to achieve context-aware generation and zero-knowledge proofs (ZKPs) for privacy-preserving AI training to foster trust and technological innovation.
Cultivate an open and composable ecosystem: As an open protocol, it is compatible with existing creation tools and supports innovation in decentralized business models (such as AI-NFT authorization, data DAO, and AI curation markets).
Endless AI aims to initiate a paradigm shift from exploitative centralized control to a self-sustaining decentralized creative economy. It is committed to building a future where algorithms are accountable, IP is protected, and innovation is rewarded. This will allow creators to regain control and value in the AI era and thrive without compromise.
Agentic AI Framework: Enabling Autonomous Intelligence
The overall architecture of Endless AI consists of five layers: AI infrastructure layer, agent AI framework, data and privacy layer, incentive layer, and application and ecosystem.
The core and key highlight of the Endless AI architecture is its agent AI framework, which enables autonomous AI agents to run on Endless in the form of smart contracts. These agents are context-aware, access real-time external data (such as DeFi protocols, market APIs) through MCP, and interact with decentralized tools (such as oracles, off-chain computing services). The main features include:
Autonomous task execution: Agents can execute DeFi transactions, generate content, or manage DAOs, and have adaptive learning capabilities.
Multi-Agent System (MAS): Agents collaborate via weighted verifiable random functions (wVRF) to make distributed decisions such as portfolio rebalancing.
Privacy and Security: Zero-knowledge proof (ZKP) and multi-commitment scheme (KZG) ensure that the output is verifiable and privacy-protected, suitable for sensitive application scenarios.
The Agentic AI framework supports a variety of use cases, such as decentralized AI swarms for DeFi arbitrage, Web3 game content generation, and decentralized social media content review, providing precise and scalable solutions.
By combining cutting-edge AI with the trustless infrastructure of Web3, Endless AI is committed to driving innovation in areas such as finance and creative arts. Endless welcomes developers, researchers, and users to join its ecosystem and jointly build the future of decentralized AI.
About Endless Web3 Genesis Cloud
Endless is a decentralized smart protocol that enables developers to easily build secure and efficient Web3 applications while ensuring privacy, asset security, and data autonomy. Endless integrates rich AI functions, allowing developers to easily and conveniently integrate AI capabilities into dApps or build on-chain AI agents.
Website: https://www.endless.link/
Twitter: https://x.com/EndlessProtocol
Telegram: https://t.me/EndlessProtocol
Endless AI White Paper: https://www.endless.link/ai_whitepaper.pdf
