# 2nd Report Of July 2025

<figure><img src="/files/azR6nxnphNuFW58trU7e" alt=""><figcaption></figcaption></figure>

### Mainnet Statistics

Validator Nodes: 103\
Miner Nodes: 1,044\
Wallet Increase: +311

&#x20;

### Project Progress Overview

#### 1. Large Language Model Development

**Morpheus Optimization:** 93% complete. Only final debugging and integration with the Agent Center remain.\
**Integration of DeepSeek V3 MOE Framework:** 90% complete. This upgrade improves training efficiency of the base model.

#### 2. Distributed Privacy Computing

**MANTA Extension for Agent Privacy Protection:** Not yet started.\
**MANTA Optimization for DeepSeek V3 MOE Training:** Not yet started.

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

**First Version Launch:** 100% complete. Initial Agent Tools provided by MATRIX AI allow users to construct their own agents.\
**Benchmark Model Expansion:** 85% complete. DeepSeek V3 added as a supported base model.

#### 4. AI Agent MVP

**AI Agent MVP:** 95% complete. MAC output logic optimized to improve accuracy and efficiency.

#### 5. Distributed Neural Data Infrastructure

**NeuraMATRIX Launch:** 29% complete. Began user data collection and anonymization through the first ecosystem application. Assisted Hypnus in developing bioelectric AI algorithms.

#### 6. Others

**Framework Design for RWA Integration:** Completed design and validation of MATRIX’s support framework for the RWA sector.

&#x20;

{% embed url="<https://coinmarketcap.com/community/post/365736026>" %}

{% embed url="<https://medium.com/@matrixainetwork/2nd-report-of-july-2025-matrix-ai-c323038675ec>" %}

{% embed url="<https://coinmarketcap.com/community/articles/687fa298aeed5120ccaea2b7>" %}

{% embed url="<https://x.com/MatrixAINetwork/status/1947669966037094507>" %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.matrix.io/bi-weekly-reports/2nd-report-of-july-2025.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.