1st Report Of February 2025

February 7, 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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