1st Report Of March 2025
March 7, 2025
Mainnet Performance
• Validator Nodes: 107
• Miner Nodes: 1,201
• New Wallets: +57
Project Updates
1. Large Model Initialization
• Optimization of Morpheus as the Base Large Model for AI Agents: 47%
• Developed a multi-task learning module, enabling Morpheus to train across different tasks in parallel, improving efficiency and application scope.
• Optimized task scheduling and resource allocation mechanisms to ensure efficient parallel execution in multi-task and multi-agent systems.
• Completed the design and testing of a multi-task training framework to ensure Morpheus’ stability and performance in complex environments.
• 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: 43%
• Expanded the system architecture to support multi-expert models efficiently.
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: 31%
• MATRIX AI provided pre-initialized Agent Tools, enabling users to assemble AI Agents using the platform.
• Integrated core AI model functionalities such as classification, regression, and reinforcement learning, ensuring seamless operation on the platform.
• Designed an AI Agent development framework that allows users to create and train custom AI Agents.
• Introduced scalable agent functionality modules, including state management, behavior decision-making, and strategy optimization.
• Extension of Compatible Baseline Models: 33%
• Integrated DeepSeek V3 as one of the baseline models in the Agent Model Center.
• Expanded system architecture to support multiple baseline models, ensuring interoperability.
• Implemented a model-switching mechanism, allowing users to seamlessly switch between different baseline models.
• Optimized data input and output interfaces for diverse model requirements, ensuring smooth data flow.
• Enhanced multi-model parallel training performance, optimizing resource allocation and scheduling.
4. AI Agent MVP
• Providing a Morpheus-based AI Agent MVP for User Testing: 40%
• Launched the first AI Agent: Web 3.0 Mentor.
5. Launch of Brainwave Distributed Database
• Deployment of NeuraMATRIX’s first ecosystem application, initiating data collection and anonymization processes: 22%.
6. Others
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