# 1st Report Of February 2025
### Mainnet Performance
• Validator Nodes: 107
• Miner Nodes: 1,211
• New Wallets: +47
### Project Updates
**1. Large Model Initialization**
**• Optimization of Morpheus as the Base Large Model for AI Agents: 19%**
• Adjusted the data preprocessing pipeline to ensure efficient adaptation to Morpheus while meeting multitask learning requirements.
• Introduced reinforcement learning and adversarial training datasets to enhance model performance in complex environments.
• Developed new data annotation and cleaning mechanisms to improve data quality and processing efficiency.
**• Language Understanding, Reasoning, and Communication Abilities: 0%**
• **Enhanced Features:** Introduction of foundational personality modules (logical, emotional, creative) for personalized agent development: 0%.
**• Integration of DeepSeek V3’s MOE Model Framework: 23%**
• Adjusted the number of experts and selection strategies to balance model expressiveness and computational efficiency.
• Refined expert-switching mechanisms to ensure efficient cross-expert training.
**2. Support for Distributed Privacy Computing**
• Expanding the MANTA computing framework to support privacy-preserving training and inference required by AI agents: 0%.
• Optimizing the MANTA computing framework for MOE model training and inference required by DeepSeek V3: 0%.
**3. Agent Model Center (MVP)**
**• Initial Version Deployment: 13%**
• Integrated baseline models provided by MATRIX (e.g., classification, regression, reinforcement learning) and ensured compatibility with the platform.
• Designed an AI Agent development framework, enabling users to create and train custom AI Agents based on baseline models.
**• Extension of Compatible Baseline Models: 9%**
• Integrated DeepSeek V3 as one of the baseline models in the Agent Model Center.
**4. AI Agent MVP**
• Providing a Morpheus-based AI Agent MVP for user testing: 0%.
**5. Launch of Brainwave Distributed Database**
• Deployment of NeuraMATRIX’s first ecosystem application, initiating data collection and anonymization processes: 12%.
**6. Others**
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