LOCAL SUPERPOWERS! Integration with REMOTE GPU Power & Advanced Research Tools for Enhanced Performance

[MaximPro]

Is your feature request related to a problem? Please describe.

Currently, the Open Interpreter's capability to utilize local resources is limited, which can hinder performance when handling intensive tasks or large datasets. Furthermore, the research capabilities could be significantly enhanced by integrating more advanced tools, allowing for more efficient, precise, and insightful results.

Describe the solution you'd like

I propose a multi-faceted enhancement to the Open Interpreter:

Integration with Vast.ai: Utilize Vast.ai to access external GPU power seamlessly, providing a substantial boost in computational capabilities. This integration would allow users to tap into a pool of high-performance GPUs, optimizing the processing time and efficiency for complex tasks.

Utilize Advanced Research Tools like Tavily.com or Similar: Incorporate advanced research tools such as Tavily.com or alternative platforms like Perplexity AI. These tools offer superior research capabilities, enhancing the depth and breadth of information that can be accessed and processed, thereby improving the quality of insights generated by the Open Interpreter.

Adaptive Local Model Switching: Implement a dynamic system that automatically evaluates the specific requirements of each task at the beginning of the process and selects the most appropriate local model to use. Additionally, provide users with the option to override the automatic selection with a higher-performance model if needed.

Describe alternatives you've considered

Continuing to use only local computational resources, which limits scalability and performance.
Relying on a single research tool, which may not provide the most comprehensive or updated information.
Fixed model allocation without adaptive switching, which may not be optimal for varied task requirements.

Additional context

By integrating with remote GPU Services like Vast.ai, leveraging powerful research tools like Tavily.com (or better local alternatives), and implementing dynamic model switching, Open Interpreter will provide users with a more robust, efficient, and versatile platform. This approach aligns with modern standards of maximizing performance while offering flexibility to handle diverse tasks. It would inspire both developers and users to fully embrace these improvements, ultimately driving better results and satisfaction.

These enhancements will not only optimize the operational flow but also create an environment where the Open Interpreter is seen as a cutting-edge, user-friendly solution that meets the evolving needs of its community.

Please consider the integration in the next releases. We all would benefit alot from this!