In this paper, we present a groundbreaking paradigm for human-computer interaction that revolutionizes the traditional notion of an operating system. Within this innovative framework, user requests issued to the machine are handled by an interconnected ecosystem of generative AI models that seamlessly integrate with or even replace traditional software applications. At the core of this paradigm shift are large generative models, such as language and diffusion models, which serve as the central interface between users and computers. This pioneering approach leverages the abilities of advanced language models, empowering users to engage in natural language conversations with their computing devices. Users can articulate their intentions, tasks, and inquiries directly to the system, eliminating the need for explicit commands or complex navigation. The language model comprehends and interprets the user's prompts, generating and displaying contextual and meaningful responses that facilitate seamless and intuitive interactions. This paradigm shift not only streamlines user interactions but also opens up new possibilities for personalized experiences. Generative models can adapt to individual preferences, learning from user input and continuously improving their understanding and response generation. Furthermore, it enables enhanced accessibility, as users can interact with the system using speech or text, accommodating diverse communication preferences. However, this visionary concept raises significant challenges, including privacy, security, trustability, and the ethical use of generative models. Robust safeguards must be in place to protect user data and prevent potential misuse or manipulation of the language model. While the full realization of this paradigm is still far from being achieved, this paper serves as a starting point for envisioning this transformative potential.

中文翻译：

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Prompt-to-OS (P2OS)：通过集成人工智能生成模型彻底改变操作系统和人机交互

在本文中，我们提出了一种突破性的人机交互范例，彻底改变了操作系统的传统概念。在这个创新框架内，向机器发出的用户请求由生成人工智能模型的互连生态系统处理，该模型与传统软件应用程序无缝集成甚至取代传统软件应用程序。这种范式转变的核心是大型生成模型，例如语言和扩散模型，它们充当用户和计算机之间的中央接口。这种开创性的方法利用了高级语言模型的功能，使用户能够与其计算设备进行自然语言对话。用户可以直接向系统表达他们的意图、任务和查询，无需明确的命令或复杂的导航。语言模型理解并解释用户的提示，生成并显示上下文和有意义的响应，以促进无缝和直观的交互。这种范式转变不仅简化了用户交互，还为个性化体验开辟了新的可能性。生成模型可以适应个人偏好，从用户输入中学习并不断改进他们的理解和响应生成。此外，它还增强了可访问性，因为用户可以使用语音或文本与系统交互，从而适应不同的通信偏好。然而，这一富有远见的概念提出了重大挑战，包括隐私、安全、可信性以及生成模型的道德使用。必须采取强有力的保护措施来保护用户数据并防止潜在的误用或操纵语言模型。尽管这一范式的完全实现还远未实现，但本文可以作为展望这种变革潜力的起点。