You don't need GPT-5 to control your computer on Linux. 100% privacy
Many people are unaware that advanced AI automation doesn't necessarily require the latest models like GPT-5, extensive data centers, or cloud-based AI subscriptions. You can achieve effective automation using local Artificial Intelligence solutions that are completely free, ensure full privacy, and operate offline. Here’s what you need:
- Native AI Integration in the Operating System: Solutions like Newelle integrate various tools for both Local and Cloud AI.
- An OpenAI-Compatible API: Projects such as Ollama, LM Studio, or llama.cpp can provide this compatibility.
- An AI Model with Tool Support: The model should be capable of running on your hardware and fitting within your RAM. A good starting point is Qwen3-4B, which is compact yet intelligent. Less than 3Gb the Q5_K_M quantization!!!!
Security Considerations
Whether local or cloud-based, AI systems interact with the real world through tools, often referred to as function calling. These tools can include search engine, file system, terminal, and more. This setup allows for certain actions to be automated, while others may require human approval, ensuring a layer of security and control.
Benchmarks and Performance
Performance can vary based on several factors, including context size, hardware specifications, and the size of the Local AI model you choose. It's advisable to test multiple models to determine which one best suits your specific needs and trade-offs. A recommended starting model is Qwen3-4B-2507.
By leveraging these tools and models, you can create a robust, secure, and efficient AI automation system tailored to your requirements.