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| sidebar_position: 10 | ||
| title: Roadmap | ||
| description: 10 | ||
| title: "aelf 2025 Roadmap: AI Blockchain Developments" | ||
| description: aelf's 2025 roadmap sees updates on modular blockchain architecture, AI integration, and enhanced scalability. Shared by aelf, AI blockchain. | ||
| --- | ||
| # Roadmap | ||
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| This roadmap outlines aelf's strategic integration of AI technologies, focusing on enhancing user and developer experiences, optimising smart contract operations, and ensuring robust, scalable blockchain solutions that is on par with leading technologies. | ||
| # aelf 2025 Roadmap: Introduction | ||
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| This roadmap outlines aelf's strategic advancements in core blockchain technology, focusing on modularity, distributed computing, and AI integration. | ||
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| ## Q3 2024 | ||
| For too long, the Web3 space has been plagued by scalability bottlenecks, hindering mainstream adoption. Complex interactions and a lack of flexibility have created barriers to entry for both users and developers. Security concerns remain top of mind. | ||
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| 1. [Enhancing User and Developer Experience with AI-Powered Chatbots on aelf](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/developer-and-user-experience/#iii-enhancing-user-and-developer-experience-with-ai-powered-chatbots-on-aelf) | ||
| In 2025, aelf breaks these barriers. We're introducing a suite of upgrades that will rejuvenate blockchain performance, scalability, and user experience. | ||
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| Integrating AI-powered chatbots into the aelf blockchain ecosystem enhances user and developer experiences by providing real-time support, automating routine tasks, and facilitating easy access to information. | ||
| 2. [Machine Learning Models for Smart Contract Optimisation](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/operational-excellence/#i-machine-learning-models-for-smart-contract-optimisation) | ||
| ## Q1 2025 | ||
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| Develop and deploy machine learning models to optimise the execution and gas usage of smart contracts, improving overall efficiency and performance on the aelf platform. | ||
| 3. [AI-Based Smart Contract Audit for Developers on aelf](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/developer-and-user-experience/#ii-ai-based-smart-contract-audit-for-developers-on-aelf) | ||
| ### Core Modules: Consensus and Data Availability | ||
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| Launch an aelf AI-powered auditing tool to analyse smart contract code, identify vulnerabilities, and offer remediation suggestions before deployment, enhancing security and reliability. | ||
| aelf will abstract the consensus and data availability functionalities into modular components. This allows flexibility for developers to either use default implementations or leverage standardised interfaces to build tailored solutions. | ||
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| ## Q4 2024 | ||
| ## Q2 2025 | ||
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| 1. [Enabling Non-Technical Users to Create Smart Contracts with NLP on aelf](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/developer-and-user-experience/#i-enabling-non-technical-users-to-create-smart-contracts-with-nlp-on-aelf) | ||
| ### Modular Execution and Consensus | ||
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| Introduce Natural Language Processing (NLP) tools to simplify the creation of smart contracts on aelf, making blockchain technology accessible to non-technical users and streamlining the development process. | ||
| 2. [AI Oracle on aelf](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/operational-excellence/#ii-ai-oracle-on-aelf) | ||
| Extend modularity to the execution and [consensus layers](https://blog.aelf.com/posts/blockchain-guide-consensus-mechanism-types-ai), enabling developers to leverage default implementations or build custom solutions via standardised interfaces. | ||
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| Deploy an AI based oracle to facilitate the development of AI-powered dApps, improve interaction capabilities, and support collaborations with AI Agent platforms on the aelf blockchain. | ||
| 3. [aelf as a Modular Blockchain](/resources/whitepaper-2/modular-blockchain/) | ||
| This enhances flexibility and future-proofs the blockchain for next-phase advancements in Web3 AI technology. | ||
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| Advance aelf's modular architecture to allow for greater customisation and scalability, catering to diverse application needs and enhancing overall network flexibility, while implementing modular blockchain solution for optimal TPS, efficiency and EVM compatibility. | ||
| ### Customisable Blockchain Assembly | ||
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| ## Q1 2025 | ||
| Proof-of-Concept (PoC) validation for dynamically loading custom module components at runtime, specified through configuration files. | ||
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| 1. [Intelligent Load Balancing for aelf](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/operational-excellence/#iii-intelligent-load-balancing-for-aelf) | ||
| This empowers developers to tailor the blockchain to specific use cases and experiment with novel configurations. | ||
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| Integrate AI-driven intelligent load balancing on aelf to ensure efficient traffic distribution and resource utilisation across the network, enhancing performance and reliability. | ||
| ### AI Intent Recognition and Automated Execution | ||
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| ## Q2 2025 | ||
| Introduce an AI-powered layer that automates complex Web3 and crypto interactions. | ||
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| By recognising user intents, the Web3 AI system can execute tasks like signing, contract calls, and fee settlements without manual intervention, improving user experience and efficiency. | ||
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| ## Q3 2025 | ||
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| ### Fully Operational Modular Blockchain | ||
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| Finalise core functionalities of execution, consensus, data availability, and settlement modules, including extensions, to achieve a comprehensive and operational blockchain. | ||
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| ### Pluggable Module Integration | ||
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| Enable the development and seamless integration of custom and extended modules into the modular blockchain architecture, further enhancing flexibility and customisation. | ||
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| ### Cloud-Native Deployment | ||
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| Deploy the modular blockchain on a cloud-native architecture, leveraging scalable and distributed computing resources to optimise performance and resource allocation. | ||
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| ### AI Privacy and Security | ||
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| Integrate privacy-enhancing technologies like [zero-knowledge proofs (ZKP)](https://blog.aelf.com/posts/understanding-zkp-in-blockchain-comparison) and homomorphic encryption to ensure user data security and privacy, even with automated AI operations. | ||
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| ## Q4 2025 | ||
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| ### Complete Modular Blockchain | ||
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| Finalise development of all remaining modules, including governance, economic models, permissions, and security, to establish a fully functional and modular blockchain system. | ||
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| ### Cloud-Native AI Integration | ||
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| Enhance DevOps interoperability through AI integration. AI-powered monitoring and automated scaling within the cloud-native environment will also optimise efficiency and ensure high availability. | ||
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| ### Pluggable AI Engine | ||
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| Empower developers to integrate diverse [AI models](https://blog.aelf.com/posts/comprehensive-guide-ai-agent-types), such as LLMs and graph neural networks, for specialised scenarios like complex cross-chain interactions and smart contract logic suggestions. | ||
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| 1. [AI-Facilitated Cross-Chain Interoperability for aelf](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/operational-excellence/#iv-ai-facilitated-cross-chain-interoperability-for-aelf) | ||
| ## Conclusion | ||
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| Establish AI-driven mechanisms on aelf to facilitate seamless cross-chain interoperability, expanding aelf's connectivity with other blockchain networks and enhancing overall functionality. | ||
| 2. [AI-Driven Node Selection and Validation for aelf](/resources/whitepaper-2/ai-integration-points-in-the-aelf-ecosystem/operational-excellence/#v-ai-driven-node-selection-and-validation-for-aelf) | ||
| aelf's 2025 roadmap demonstrates a strong commitment to innovation in AI and blockchain technology. With an emphasis on modularity, distributed computing, and AI integration, aelf aims to create a more robust, scalable, and AI-friendly blockchain platform for Web3 communities. | ||
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| (TBD) Implement AI algorithms for node selection and validation, improving network security, efficiency, and reliability. | ||
| These advancements will not only benefit developers but also enhance the overall Web3 AI experience for users, paving the way for wider adoption of Web3 AI technology and new possibilities in the race for decentralisation. |