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DuckChain releases AI roadmap: focusing on the combination of AI and EVM, aiming at Telegram users for AI agent Cross-Chain Interaction operation.
Currently, it has received favor from multiple venture capitalists and successfully raised 5 million US dollars, and focuses on DuckChain, which combines AI and EVM, releasing the AI roadmap on 12/28, aiming to allow 1 billion Telegram users to easily enter the Web3 world combined with AI.
AI Agent DAO is the flagship.
The AI roadmap of DuckChain this time is advancing in five stages. Here is the operating mode of the first stage:
Genesis members: The core members of the DuckChain community have their own exclusive AI agents, and members only need to pledge DUCK tokens for the AI agents to participate in governance on behalf of the members based on pre-set AI models.
AI Autonomous Decision-making: AI agents will vote on governance proposals or submit new proposals based on AI models.
Participate in feedback: Users participating in governance can receive DUCK tokens as rewards.
DuckChain stated that this design increases the efficiency of blockchain governance and allows more people to participate in community decision-making.
Duckchain Five-stage Plan. Every DUCK token holder has an AI agent.
DuckChain's plan for the second phase is to expand AI agents to all DUCK token holders in the first quarter of 2025. The following are the main goals of the second phase:
Education: Teach beginners about blockchain, cryptocurrency spot trading, and how to pledge.
Guidance: Simplify the user experience and assist users in easily entering the DuckChain ecosystem.
Empowerment: Provide AI agents to make financial decisions and participate in governance.
In the future, these AI agents will be integrated with Telegram to further reduce the entry barrier for users into Web3.
Build a complete AI ecosystem
DuckChain represents that it will establish a complete AI ecosystem with strategic partners in the third phase. The following are the goals of DuckChain in the third phase:
Infrastructure Layer: Utilizing Arbitrum Orbit, Phala Network, etc. to provide efficient operating environments and distributed cloud computing.
AI Data Layer: Integrating data suppliers such as CARV and Vana to ensure user data privacy and support high-quality data processing.
Consensus Layer: Utilizing technologies such as Hyperledger Fabric and Aztec, providing a consensus mechanism with privacy protection and high performance.
Consumer Layer: Through applications like UXLINK, Noya, etc., DuckChain AI processing technology can be intuitively displayed to end users.
DuckChain Ecosystem Construction Layer Diagram. AI Empowers DeFi Tools and Financial Integration
DuckChain's fourth stage will focus on the integration of AI technology and DeFi, providing users with simplified financial management tools:
AI-driven financial tools: AI agents assist users in analyzing market trends and recommending the best collateralization and lending strategies.
Simplify asset management: help users easily manage DeFi investment portfolios, even Web2 users can easily get started.
Telegram users can stake, borrow or trade Stars tokens to expand application scenarios.
Promote multi-chain interoperability and ecosystem expansion
DuckChain's fifth stage goal is to attract more developers and users to join the ecosystem by seamlessly operating multiple chains through AI agents:
Cross-chain AI Solution: Use AI agents to simplify cross-chain transactions for TON, Ethereum, and Bitcoin.
Developer support: Provide support for multiple programming languages, such as Solidity, Move, Rust, to attract more developers to join and create more applications.
Improving user experience: AI agents can serve as the best assistant for users, helping to simplify cross-chain operation processes.
Can AI agents replace human financial professionals? VaderAI introduces AI-managed investment strategies. Will token economics usher in a rolling flywheel?
This article DuckChain releases AI roadmap: focusing on the combination of AI and EVM, targeting Telegram users to use AI agents for cross-chain operations first appeared on Chain News ABMedia.