1st Report Of May 2025

May 9, 2025

Mainnet Performance

Validator Nodes: 103 Miner Nodes: 1,174 New Wallets: +43

Project Updates

1. Large Model Initialization

Optimization of Morpheus as the Base Large Model for AI Agents: 77% Model tuning and optimization are fully complete. Integration testing with the Agent Model Center is ongoing, focused on ensuring Morpheus can efficiently process diverse task requests. Deployment of inference APIs is in progress, enabling streamlined user access to Morpheus for training and inference.

Integration of DeepSeek V3's MOE Model Framework: 87%

Final version of the MOE framework has been fully integrated into Morpheus. Comprehensive system testing completed to evaluate training speed, precision, and memory efficiency.

2. Support for Distributed Privacy Computing (On Hold)

Expansion of the MANTA Architecture for Privacy-Preserving Agent Training and Inference: 0%

Optimization of MANTA for DeepSeek V3 MOE Model Requirements: 0%

3. Agent Model Center (MVP)

Initial Version Deployment: 89% The initial version has been released with MATRIX AI’s Agent Tools, enabling modular agent development. Completed performance stress testing on system architecture and functional components under high-load scenarios.

Extension of Compatible Baseline Models – Integration of DeepSeek V3: 85% DeepSeek V3 successfully integrated as a supported baseline model. Conducted stress testing to validate platform stability and performance under large-scale data and multi-model environments.

4. AI Agent MVP

Testable MVP Version Based on Morpheus: 30% Current strategy may de-emphasize standalone agents in favor of enhanced Agent Center functionality.

5. Launch of Brainwave Distributed Database

Deployment of NeuraMATRIX’s First Ecosystem Application & Data Collection: 17% Ongoing anonymized user data collection. MetaTron firmware updates completed to boost EEG signal recognition accuracy.

6. Others

MCP Router Demo Version Released Completed a demo version of the MCP Router Tool based on MATRIX’s distributed AI Agent service network. The router supports semantic-level task decomposition and directs context-aware subtasks to optimal execution nodes.