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MS「OSにAIを組み込みたい」←これなんだけどさ

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Microsoft's ambition to deeply integrate AI into its operating system, making Windows smarter and more convenient, has stirred considerable buzz online.

This direction aims to embed AI directly into the OS, moving beyond mere applications to create a more intelligent computing experience.

However, concerns about system performance and user privacy are also rising, leading to a mix of excitement and apprehension among the public.

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Copilot

Copilot is an AI assistant developed and provided by Microsoft, built upon OpenAI's large language models. Initially known for GitHub Copilot as a programming aid, it is now integrated across the Windows OS and Microsoft 365 applications, aiming to boost user productivity. In the context of embedding AI into the OS, Copilot stands at the forefront. For instance, PCs featuring a dedicated Copilot key have emerged with Windows 11, allowing users to summon the AI assistant with a single button press. This enables a wide range of OS-level operations—such as document drafting assistance, email summarization, web search, PC setting changes, and file management—to be executed simply by natural language commands. This marks an evolution from traditional OS interaction, which relied on GUI-based clicks and typing, towards a more intuitive, conversational interface. However, due to its extensive capabilities, there are concerns about privacy and data security, as Copilot potentially learns and processes user operations and data in the background continuously. More than just an application, Copilot is a core AI feature defining the future direction of Windows as an integral part of the OS experience.

NPU (Neural Processing Unit)

An NPU, or Neural Processing Unit, is a specialized processor for AI and machine learning tasks, featuring an architecture distinct from CPUs (Central Processing Units) and GPUs (Graphics Processing Units). It excels at performing AI model inference (the process of making predictions or decisions using a trained model) with high speed and low power consumption. NPUs are becoming indispensable for executing AI-driven functions like video upscaling, real-time translation, image recognition, and audio processing. To realize Microsoft's vision of deeply integrating AI into the OS, promoting "edge AI"—where AI processing is completed directly on the device rather than solely via the cloud—is crucial. NPUs are at the core of this edge AI, enabling low-latency and secure AI functionality on devices. For instance, development environments like Windows AI Studio allow developers to easily build AI applications that leverage NPUs. This approach also offers privacy benefits, as data is processed without leaving the device. PCs equipped with NPUs are being branded as "AI PCs," intensifying market competition. The proliferation of NPUs is a key factor in establishing the hardware foundation for AI to be deeply rooted in the OS, providing a more personal and responsive computing experience.

AI-Native OS

An AI-Native OS refers to an operating system where AI is embedded as a core design principle and architectural element, fundamentally different from traditional OSs that merely serve as a platform for applications. When Microsoft states its desire to "integrate AI into the OS," it is precisely aiming for this transition to an AI-Native OS. While traditional OSs often provided AI functionalities as separate applications or cloud services, an AI-Native OS sees AI pervasive throughout the entire system, influencing every aspect of the user experience. For instance, AI would function as the "brain" of the OS, assisting with file search and organization, optimizing system settings, monitoring security, and even learning user behavior patterns to proactively provide necessary information and features. This goes beyond merely incorporating an AI assistant; it involves integrating AI from the OS kernel level, realized through tight collaboration with hardware (especially NPUs). This approach is expected to make the OS more personalized, better understand user intentions, and offer an unprecedentedly intuitive and seamless operational experience. However, concerns regarding ethics and privacy due to AI controlling the entire OS, increased system complexity, and higher resource consumption are also emerging. The realization of an AI-Native OS represents a grand challenge, demanding not only technological advancement but also societal acceptance.

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