Years later, Linux It has emerged as the world’s most popular operating system due to its open source nature. This has enabled a global community of developers to contribute to its development, enhancing its stability, security and flexibility, in applications ranging from servers to embedded systems.

Just as Linux changed the landscape of traditional operating systems, the advent of AI is poised to revolutionize the way operating systems work.

A recently published one Research paper‘AI-based OS: Future of Operating System’, explained how AI can be integrated into operating systems to extend their capabilities beyond traditional software and hardware management.

This shift towards an AI-powered operating system mirrors the early days of Linux, where a new paradigm in computing began to take shape.

recently, Andrej Karpathi Describes how an AI kernel can replace existing operating systems.

Current developments

To have a Linux moment in AI, we need an open ecosystem of software and hardware support for AI operating systems. This was the main reason why Linux became a big hit.

As we have different Linux distributions, there are different AI operating systems to address different problems.

Learning Directed Operating System (LDOS) aims to revolutionize traditional operating systems by integrating advanced machine learning techniques. LDOS automates the laborious tasks involved in OS implementation and tuning, making systems more scalable. “Self Driving”.

LDOS enables the development and deployment of sophisticated real-time applications with complex resource requirements. For example, autonomous service robots can run third-party apps to enhance their functionality, and real-time 6G mobile access edges can support advanced applications in smart cities and factories.

Similarly, Black Swan Technologies has unveiled what it claims is the world’s first enterprise AI operating system, ELEMENT. Low code/no codecloud agnostic system.

The system allows users to build enterprise applications 60 times faster than traditional methods and at a fraction of the cost.

ELEMENT is designed to continuously learn and evolve with the enterprise, offering a customizable structure with a drag-and-drop interface.

Apart from revolutionizing industries, AI-based operating systems are also coming with Open Voice OS to compete with proprietary solutions like Google Home and Amazon Echo.

As the name suggests, OpenVoiceOS is an open source voice AI platform project designed with a strong focus on privacy. It allows users to control their data and operate the platform. Completely offlineif desired.

Because Linux is a kernel, not an operating system, LLMOS aims to use LLM as a kernel for tasks such as process scheduling, memory management, and user interaction.

“A more complete picture of LLMs is emerging not as a chatbot but as a kernel process of a new operating system,” Carpathi also says.

In LLMOS, AI agents act as applications, perform specific tasks and interact with the LLM kernel to provide services to the user.

The best part is that it is not restricted to a specific LLM but you can choose from a variety of LLMs to develop an operating system of your choice.

On LLMOS, user prompts and instructions act as a user interface, allowing natural language interaction between the user and the system and making the OS more intuitive and accessible.

LLMOS is also open source, which means any software developer can take the code and build their own solution around it, similar to how Linux is the world’s most popular operating system. The operating system became

Linux and AI OS face similar problems.

Linux is known to work on almost every computer but struggles with it. Peripheral compatibility. Same goes for AI OS. To run AI as a kernel, you need to have strong hardware with a decent GPU.

Additionally, using AI as an operating system has yet to become mainstream, which means we have no idea how hardware companies will deliver the best hardware.

Apart from the compatibility issues, Linux is known for. Its lack of softwareWhich is a big reason why Linux only has 4% of the desktop market share. Apparently, we still don’t have a clear understanding of what kind of software/apps will be available and how the AI ​​OS will interact with them.

Another issue is complexity. Both Linux and AI OS are superior. Technical pieces of software, and a normal user may not be able to configure it from scratch. Therefore, how manufacturers and software developers create a perfect package matters most.

This means, we need strong cooperation between hardware manufacturers and software developers. Also, the package should be overall user friendly. This is how we can have a Linux moment in AI.

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