On April 28, at The Scaling DeAI Summit · TOKEN2049 Dubai, Endless Web3 Co-Founder and Co-President Xiong Yu released the Endless AI white paper titled "Endless AI: A Decentralized Intelligent Creator Ecosystem," outlining its vision and strategy for integrating AI with Web3 technology to drive decentralized innovation.
Endless is a decentralized intelligent protocol designed to connect the Web2 and Web3 ecosystems, providing developers with a one-stop Web3 application development platform and offering users a Web2-level experience.
Based on the Move programming language, the public chain Endless integrates various AI functionalities and plugins, aiming to become the best bridge between AI and Web3. It enables developers to build Web3 AI applications more simply and quickly in a modular way, facilitating the arrival of super-intelligent AI systems.
Endless AI White Paper: The Vision of Decentralized Intelligence
The newly released Endless AI white paper elaborates on Endless AI, a decentralized framework that helps developers build self-improving, incentive-driven AI applications by combining artificial intelligence (AI) with Web3 and blockchain technology. The Endless Web3 infrastructure supports AI in the following ways:
On-chain learning: AI models can access blockchain data (such as transaction history and smart contract interactions) to optimize decision-making.
Decentralized data sovereignty: User data is encrypted and stored in decentralized networks like IPFS, ensuring privacy and compliance.
Token economic incentives: Through the Proof-of-Useful-Work (PoUW) mechanism, EDS tokens reward contributors such as AI model trainers and node operators.
By strategically integrating AI generation capabilities with Web3 ownership principles (blockchain and token economics), Endless AI is committed to:
Empowering creators with true ownership: Providing a one-click IP confirmation tool to mint AI creations as verifiable NFTs with built-in royalties and immutable on-chain records.
Automating and decentralizing management: Deploying autonomous AI agents governed by smart contracts to achieve automated and transparent copyright management, plagiarism detection, and payment distribution, eliminating high-cost intermediaries.
Establishing fair incentive mechanisms: Building a tokenized ecosystem (EDS) that rewards the contributions of creators, data providers, AI model trainers, and validators, ensuring value flows directly to ecosystem builders.
Achieving privacy-preserving advanced AI: Utilizing Model Context Protocol (MCP) for context-aware generation and employing zero-knowledge proofs (ZKPs) for privacy-preserving AI training, fostering trust and technological innovation.
Cultivating an open and composable ecosystem: As an open protocol compatible with existing creation tools, supporting decentralized business model innovations (such as AI-NFT licensing, data DAOs, and AI curation markets).
The goal of Endless AI is to initiate a paradigm shift from exploitative centralized control to a self-sustaining decentralized creative economy, committed to building a future where algorithms are accountable, IP is protected, and innovation is rewarded, allowing creators to regain control and value in the AI era, thriving without compromise.
Agentic AI Framework: Empowering Autonomous Intelligence
The overall architecture of Endless AI consists of five layers: AI infrastructure layer, agentic AI framework, data and privacy layer, incentive layer, and application and ecosystem.
The core and key highlight of the Endless AI architecture is its agentic AI framework, which enables autonomous AI agents to operate on Endless in the form of smart contracts. These agents possess context-aware capabilities, accessing real-time external data (such as DeFi protocols and market APIs) through MCP and interacting with decentralized tools (such as oracles and off-chain computation services). Key features include:
Autonomous task execution: Agents can execute DeFi transactions, generate content, or manage DAOs, with adaptive learning capabilities.
Multi-agent systems (MAS): Agents collaborate through weighted verifiable random functions (wVRF) for distributed decision-making, such as portfolio rebalancing.
Privacy and security: Zero-knowledge proofs (ZKP) and polynomial commitment schemes (KZG) ensure outputs are verifiable and protect privacy, suitable for sensitive application scenarios.
The Agentic AI framework supports various use cases, such as decentralized AI groups for DeFi arbitrage, Web3 game content generation, and decentralized social media content moderation, providing precise and scalable solutions.
By combining cutting-edge AI with the trustless infrastructure of Web3, Endless AI is committed to driving innovation in fields such as finance and creative arts. Endless welcomes developers, researchers, and users to join its ecosystem to collaboratively build the future of decentralized AI.
About Endless Web3 Genesis Cloud
Endless is a decentralized intelligent protocol that enables developers to easily build secure and efficient Web3 applications while ensuring privacy, asset security, and data autonomy. Endless integrates rich AI functionalities, allowing developers to seamlessly incorporate 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
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