# 1st Report Of April 2025

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### Mainnet Performance

* Validator Nodes: 105
* Miner Nodes: 1,169
* New Wallets: +31

***

### Project Updates

#### 1. Large Model Initialization

* **Optimization of Morpheus as the Base Large Model for AI Agents: 60%**
* * While integration testing with the Agent Model Center is ongoing, the tuning and optimization of the model itself have been completed.&#x20;
  * Current work is focused on ensuring Morpheus can efficiently process diverse task requests from the Agent Model Center.
* Language Understanding, Reasoning, and Communication Abilities: 60%
* Integration of DeepSeek V3's MOE Model Framework: 60%
* * Fine-tuned key hyperparameters such as the number of experts and expert assignment strategies.
  * Identified optimal configurations to maximize both training efficiency and model performance.
  * Improved model convergence speed, shortening the training process.

***

#### 2. Support for Distributed Privacy Computing *(On Hold)*

***

#### 3. Agent Model Center (MVP)

* **Initial Version Deployment: 49%**
* * Released the first version of the Model Center with Agent Tools provided by MATRIX AI, enabling users to build custom agents from available components.
  * Introduced inference service interfaces, allowing real-time calls to deployed AI Agents.
* Extension of Compatible Baseline Models – Integration of DeepSeek V3: 45%
* * Designed and implemented an intuitive user interface for streamlined model uploading, management, and training.
  * Enhanced platform versatility to support custom model parameters and training configurations.

***

#### 4. AI Agent MVP

* **Testable MVP Version Based on Morpheus: 30%**
* * Current focus may shift away from releasing standalone agents, prioritizing complete functionality within the Agent Center.

***

#### 5. Launch of Brainwave Distributed Database

* **Deployment of NeuraMATRIX’s First Ecosystem Application & Data Collection: 17%**
* * Continued collection and anonymization of user data.
  * Upgraded MetaTron firmware to improve EEG signal recognition accuracy.

***

#### 6. Others： MANTOR release for test  <br>

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