Matrix AI Network

Mainnet Performance<ul><li>Validator Nodes: 107</li><li>Miner Nodes: 1,235</li><li>New Wallets: &#43;49</li></ul><img src="https://cdn-images-1.medium.com/max/880/1*-x4G74H-eI9ike68rYJ5SQ.png" /><h4>Project Updates</h4><h4>Large Model Initialization</h4>Optimization of Morpheus as the Base Large Model for AI Agents: 17%<ul><li>Analyzed the architecture and bottlenecks of Morpheus, identifying limitations in AI Agent development (e.g., response time, scalability, and parallel computing capabilities).</li><li>Introduced new modules and features to support reinforcement learning, task scheduling, and state management for AI Agents.</li><li>Adjusted the training framework to enable large-scale multitask learning and complex behavior decision modeling.</li><li>Created the first Demo Agent.</li></ul>Language Understanding, Reasoning, and Communication Abilities: 0%<ul><li>Enhanced Features: Introduction of foundational personality modules (logical, emotional, creative) for personalized agent development: 0%.</li></ul>Integration of DeepSeek V3’s MOE Model Framework: 16%<ul><li>Implemented the Experts Network and Routing Mechanism for the MOE model.</li><li>Built a foundational distributed training environment to ensure parallel training across different experts in the MOE model.</li></ul>Support for Distributed Privacy Computing<ul><li>Expanding the MANTA computing framework to support privacy-preserving training and inference required by AI agents: 0%.</li><li>Optimizing the MANTA computing framework for MOE model training and inference required by DeepSeek V3: 0%.</li></ul><h4>Agent Model Center (MVP)</h4>Initial Version Deployment: 11%<ul><li>Designed unified API interfaces to enable users to easily upload, train, deploy, and manage AI Agents.</li><li>Developed security and permissions management features to ensure the safety of user models and data on the platform.</li><li>Integrated baseline models provided by MATRIX to ensure platform flexibility and scalability.</li></ul>Extension of Compatible Baseline Models: 9%<ul><li>Integrated DeepSeek V3 as one of the baseline models in the Agent Model Center.</li><li>Designed unified API interfaces for seamless uploading and management of DeepSeek V3 and other baseline models.</li><li>Implemented features for DeepSeek V3, including data input, model training, model evaluation, and inference interfaces.</li></ul><h4>AI Agent MVP</h4><ul><li>Providing a Morpheus-based AI Agent MVP for user testing: 0%.</li></ul>Launch of Brainwave Distributed Database<ul><li>Deployment of NeuraMATRIX’s first ecosystem application, initiating data collection and anonymization processes: 12%.</li></ul>Others<blockquote>The Matrix AI Network was founded in 2017. In 2023, we enter Matrix 3.0 blending neuroscience with our previous work to realize the vision of the Matrix films.</blockquote>FOLLOW MATRIX:<a href="https://www.matrix.io/" rel="noopener noreferrer nofollow">Website</a> | <a href="https://github.com/MatrixAINetwork" rel="noopener noreferrer nofollow">GitHub</a> | <a href="https://twitter.com/MatrixAINetwork" rel="noopener noreferrer nofollow">Twitter</a> | <a href="https://www.youtube.com/channel/UCA8O5qOg0nVyd-L7RaOrmUw" rel="noopener noreferrer nofollow">YouTube</a><a href="https://t.me/matrixainetwork" rel="noopener noreferrer nofollow">Telegram (Official)</a> | <a href="https://t.me/MatrixMasternodes" rel="noopener noreferrer nofollow">Telegram (Masternodes)</a><a href="https://twitter.com/owen_matrix?s&#61;21" rel="noopener noreferrer nofollow">Owen Tao (CEO)</a> | <a href="https://twitter.com/stevedeng_ai?s&#61;21" rel="noopener noreferrer nofollow">Steve Deng (Chief AI Scientist)</a> | <a href="https://twitter.com/matrixcmto?s&#61;21" rel="noopener noreferrer nofollow">Eric Choy (CMTO)</a>

2nd Report Of January 2025

Matrix AI Network

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