1st Report Of January 2025

January 7, 2025

Mainnet Performance

  • Validator Nodes: 107

  • Miner Nodes: 1,237

  • New Wallets: +77

Project Updates

  1. Large Model Initialization

  • Optimization of Morpheus as the Base Large Model for AI Agents: 12%

    • Expanding Morpheus's core capabilities, including multitask learning, agent behavior modeling, and reinforcement learning.

  • 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 Mixture of Experts (MOE) Framework: 7%

    • Designing the integration of MOE models within Morpheus, including strategy for model partitioning, expert selection mechanisms, and allocation algorithms during training.

    • Determining hardware requirements and evaluating potential efficiency gains in training.

  1. 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%.

  1. Agent Model Center (MVP)

  • Initial Version Deployment: 6%

    • Launching the first version of the Model Center with pre-initialized Agent Tools provided by MATRIX AI, enabling users to assemble agents using these tools.

    • Defining functional requirements and architectural designs for Agent Model Center, covering model management, training, deployment, and monitoring.

    • Designing a flexible platform architecture to support foundational baseline models and AI Agent development.

  • Extension of Compatible Baseline Models: 6%

    • Integrating DeepSeek V3 as one of the baseline models in the Agent Model Center.

    • Analyzing the architecture of DeepSeek V3 to assess compatibility with the existing framework.

  1. AI Agent MVP

  • Providing a Morpheus-based AI Agent MVP for user testing: 0%.

  1. Launch of Brainwave Distributed Database

  • Deployment of NeuraMATRIX’s first ecosystem application, initiating data collection and anonymization processes: 12%.

    • Optimizing SDK data management permissions to ensure Hypnus complies with App Store privacy requirements.

  1. Others

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