Limitations

The Metaverse, in its current form, has certain limitations that we aim to address in future developments:

  1. Web-based access: At present, the Metaverse is accessed through the web. Our long-term objective is to allow Users and specific groups to download the Metaverse onto their computers (Web-based access will always be available), thereby increasing performance. Such enhanced performance can be utilized for conducting resource-intensive events or simulations, such as university or research work.

  2. Multiplayer limitations: Accommodating hundreds of individuals simultaneously can be computationally expensive. To address this, we will implement measures to limit the number of Users within an instance of the Metaverse, similar to the concept of rooms in gaming or sharding. As we incorporate more digital twins and prototypes, optimizing the Metaverse to ensure a smooth experience while maintaining functionality, modeling, and fluidity will be crucial.

  3. Latency issues: Users with slow internet connections may experience latency. While we can address this to some extent by modifying the quality and environment, a seamless experience cannot be guaranteed for everyone.

  4. Optimization for events: We believe that certain meetings, seminars, and events may require optimization of the environment to focus computational resources on the more demanding scientific aspects. To accommodate these needs, we will offer different sections designed for such events.

AI Limitations

Using text commands to control a system like the one we've been working on has its advantages and disadvantages. When implemented correctly, it can provide a user-friendly interface that allows for quick and efficient manipulation of objects in the virtual environment. However, there are certain limitations to consider:

  1. Complexity: Interpreting natural language input can be complex, and the AI may not always understand the user's intentions accurately. This can lead to incorrect or unintended results when executing commands.

  2. Real-time performance: AI-powered systems can be resource-intensive, especially when running in real-time, which could be a concern for performance-sensitive Platforms like our current WebGL-based Metaverse, where resources are limited.

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