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The Future of Operating Systems: LLM-Based AI Assistants

In November 2023, AI researcher Andrej Karpathy posted a groundbreaking proposal that large language models (LLMs) could be the foundation for highly capable, flexible, and personalized operating systems. Karpathy argued that state-of-the-art LLMs had reached a point where they could understand language, possess world knowledge, and demonstrate reasoning capabilities, making them suitable for powering a radically new operating system.

One early adopter of this idea is Rabbit, a startup that recently released the R1 device. The R1 is an orange box that redefines app usage with AI assistance. The device's creator claims that it can learn to operate apps on your behalf, allowing you to request services like ordering an Uber or takeout by simply pressing a button and speaking your request. This innovative approach showcases the potential of LLM-based operating systems in simplifying and streamlining user interactions with technology.

Building upon Karpathy's visionary concept, researchers like Mervin Praison have made significant strides in translating this idea into a practical reality. Praison created a sophisticated LLM OS using cutting-edge models like GPT-4o as the central orchestrator. His integration of various tools, multi-agents, knowledge bases, and user-friendly interfaces has paved the way for the development of highly competent and versatile AI systems. These systems have the potential to revolutionize the way we interact with technology.

Speculation is also rife about Apple's potential foray into this field. Rumors suggest that the tech giant has a secretive initiative to incorporate LLM OS concepts into a future version of iOS and Siri. The goal is to make Siri dramatically more capable and intelligent, allowing it to engage in freeform dialog to assist with a wide variety of tasks using both Apple and third-party services.

If Apple successfully integrates an LLM OS into the iPhone, it could transform the device from a conventional smartphone with siloed apps and a limited voice assistant to an intelligent, personalized, and proactive companion for a vast range of tasks. This would align with Apple's focus on user experience and design, making the iPhone even more indispensable in our daily lives.

As more companies and researchers explore the potential of LLM-based operating systems, we can expect to see a wave of innovation in the way we interact with our devices. From smartphones to smart homes, the integration of AI-powered assistants that can understand and fulfill our needs through natural language will likely become increasingly prevalent.

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