> For the complete documentation index, see [llms.txt](https://docs.matrix.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.matrix.io/bi-weekly-reports/2nd-report-of-october-2025.md).
# 2nd Report Of October 2025
#### Mainnet Performance
* Validator nodes: 101
* Miner nodes: 1,008
* Wallets (net change): +77
***
#### Project Progress
**1. Large Language Model Development**
* Optimized **Morpheus** as the foundational large language model for AI Agents **— 97%** (remaining: integration and debugging with the Agent Model Center).
* Introduced **DeepSeek V3’s Mixture-of-Experts (MoE)** framework to improve base-model training efficiency **— 96%**.
**2. Distributed Privacy Computing Support**
* Extended the **MANTA** compute system to support privacy-preserving training and inference required by Agents — 0% (on hold).
* Adapted MANTA to support MoE-based training and inference **for DeepSeek V3 — 0%** (on hold).
**3. Agent Model Center (MVP)**
* Deployed the **first version** of the Model Center, initialized with Agent Tools from **MATRIX AI**, enabling users to assemble custom Agents **— 100%.**
* Added a **reinforcement learning simulation environment** to construct multi-agent scenarios.
* Integrated collaboration metrics as training feedback to optimize inter-agent cooperation.
* Expanded compatible baseline models for the Agent Model Center; introduced **DeepSeek V3** as one of the supported benchmarks **— 90%**.
**4. AI Agent (MVP)**
* Released a **Morpheus-based AI Agent MVP** for user testing **— 98%**.
**5. Brainwave Distributed Database (NeuraMATRIX)**
* Launched **NeuraMATRIX**, the first ecosystem application; started user data collection and anonymized preprocessing **— 50%**.
**6. Others**
* Optimized **multi-layer semantic embedding** algorithms to maintain logical consistency across multi-turn dialogues.
* Refined the **Intelligent Contract quantitative database** schema to support structured off-chain asset storage and vectorized retrieval.
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