Major Operating Systems Integrate AI – Apple, Microsoft, and Google “Super Evolution”

The integration of AI technology is elevating operating systems. This shift is redefining their value. Operating systems are becoming more intelligent. They are evolving beyond just running applications. Now, they act as central hubs connecting users with apps.

Microsoft’s AI Evolution

Microsoft’s Windows 11 AI PC showcases the new “Recall” feature. Users can easily find previously viewed content or completed tasks. The system organizes information based on personal experiences. It retrieves desired content quickly from memory fragments, helping users recall nearly forgotten things.

Another standout feature is real-time translation with live captions. This translates audio from any app or video platform into English subtitles. It supports over 40 languages, including Chinese, even offline. Microsoft emphasized the deep collaboration between AI PC and existing software. This goes beyond common feature upgrades.

Google’s AI Innovation

Android 15, from Google, is AI-centric. Gemini is now an integral part of Android, working at the system level. Google uses the local mini model, Gemini Nano, to ensure user data security. This enhances user experience through cloud-edge AI collaboration. Gemini serves as an AI assistant on Android, overlaying any active application.

google gemini ai

A significant feature is “circle and search.” This now includes intelligent screenshots and problem-solving functions. Users can select a question, and Android 15 provides solutions and answers quickly. When browsing PDFs, Android 15 summarizes content interactively. For video content, Android 15 parses video content and subtitles, helping users access key information swiftly.

Android 15 also introduces AI scam call detection. It identifies suspicious behavior during calls and warns users promptly to protect them from fraud.

Apple’s AI Integration

Apple focuses on integrating ChatGPT-supported AI features into iOS 18. This will be in the iPhone 16, launching this September. Apple plans to announce its partnership with OpenAI at the WWDC conference on June 10. They will introduce large language models and cloud-driven Apple language models.

Impact of AI Technology on Operating Systems

The integration of AI by these major operating system giants shows that incorporating large models brings new functions and services to users, driving the evolution toward AI-native systems.

For example, intelligent file search enabled by large models allows operating systems to provide smart file search functions, where users can find needed files or information accurately and efficiently through natural language queries.

Secondly, large models’ language understanding capabilities enhance voice assistant functions. Users can easily complete system settings and information queries through voice commands, achieving natural interaction with the system. Additionally, the strong language processing capabilities allow operating systems to offer real-time translation services, facilitating cross-language communication and collaboration.

To realize these functions, operating systems must provide stronger and more flexible support, such as optimizing architecture, runtime environments, and memory management to ensure efficient and stable operation of large models, thus improving overall system performance. With the application of large models, AI framework support becomes crucial, requiring powerful AI framework support from operating systems to ensure smooth operation and upgrades of large models and other AI applications.

Large models and generative AI will bring transformative changes to operating systems. Simple interactions based on natural language will replace many traditional graphical interface interactions, forming a hybrid of LUI (Language User Interface) and GUI (Graphical User Interface). The concept of “no app” will reshape the next generation of applications, enabling tool usage directly through conversation. A new generation of operating systems will emerge, simplifying operational methods, enhancing integration between applications, and increasing integration among multiple applications. This will improve content production efficiency, personalized search and recommendations, interaction transformation, and experience innovation.

Conclusion

Looking ahead, AI will become a foundational capability of operating systems. Large models will allow developers to design features like intelligent search and recommendation systems. This will enrich the operating system’s application ecosystem. Natural language processing and deep learning capabilities will help operating systems better understand user needs and intentions. They will analyze user contexts in real time, predict needs, and autonomously execute various services. This moves human-computer interaction towards a more natural and seamless realm.

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