# 1st Report Of May 2024 ### Mainnet Performance * Validator Nodes: 107 * Miner Nodes: 1251 * New Wallet: 37+ ### Project Updates #### A. Milestone 3: A.1. In the Upgrade Phase: A.1.1 Modular Contract Transformation—82% Completed the template management vector database, storing and managing various smart contract templates, and automatically selecting the appropriate contract template based on NLP analysis results; optimized the mapping system to improve the efficiency and accuracy of converting abstract natural language descriptions into concrete contract code; A.1.2 Smart Contract Personalization—77% Completed the automatic compilation module, implementing the compilation of user-customized contract code into Ethereum Virtual Machine (EVM) bytecode; Introduced an automatic testing model, aimed at performing a compatibility test on contracts by AI before user testing and compilation, with the model improving its performance as more testing data is collected; Added an input validation module to ensure that the user-provided data is legal and meets the requirements of smart contracts; A.1.3 Support for Mainstream Contract Languages—80% Enhanced training corpus and model optimization, upgraded support for mainstream contract types such as ERC20, ERC721, and ERC1155. A.2. In the Processing Phase: A.2.1 Brainwave Data for Positive Feedback—16% A.2.2 Brainwave Data Avatar Structures—9% April Morpheus Release—72% Introduced online learning and incremental learning technology modules, allowing the model to improve over time. Used fine-tuning techniques to train the model on specific datasets that reflect particular personality traits. #### B. Others --- # 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://docs.matrix.io/bi-weekly-reports/1st-report-of-may-2024.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.