• Validator Nodes: 107
• Miner Nodes: 1,211
• New Wallets: +47
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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