Will Operating Systems Disappear? In the era of intelligent computing, with the rapid development of technologies such as artificial intelligence, big data, and cloud computing, the evolution speed of industrial technology has further accelerated. Some viewpoints hold that: The complexity of operating systems can no longer meet the rapid development requirements of the artificial intelligence era and may be integrated into AI intelligent frameworks in the future. So will operating systems disappear in the tide of artificial intelligence?

The author believes that in the AI era, there is still a need for software to manage all hardware and software resources, and with the addition of computing power management, the requirements for hardware allocation and coordination will be even more numerous and higher. Operating systems will not disappear but will absorb and integrate ecological level functions, transforming from resource-driven software to an all-powerful intelligent + ecological base. However, current technology cannot break through this evolution and requires AI technology to reconstruct human-computer interaction paradigms and traditional system architectures before it can be realized.

Whether it is Windows or Linux, currently mainstream operating systems essentially adopt an external AI integration Plan, treating large models as additional services of the operating system rather than integrating them into the native capabilities of the operating system. Looking at the most advanced A operating systems currently available, their cross-application calling and execution, AI and other functions are still limited by the rigid architectural constraints of the operating system, making it impossible to achieve end-to-end intent understanding and resource contribution calling. For example: Traditional operating systems adopt a layered architecture (hardware abstraction layer, kernel layer, system service layer), with communication between layers through strictly defined interfaces. AI inference involves calling and optimizing across hardware (CPU/GPU/NPU), but existing schedulers are based on process/thread abstraction and cannot perceive the computational dependencies of AI tasks. More importantly: This model will lead to resource and data fragmentation during AI multimodal interaction. Video, audio and other multimodal data are processed through separate pipelines within the operating system, lacking a spatiotemporal synchronization framework, which further limits the further expansion of intelligent applications on operating systems. However, due to rigid system architecture constraints, operating systems will not be able to break through this ceiling unless underlying reconstruction is carried out.

If operating systems are reconstructed according to the above思路, the new generation of operating systems should reconstruct the core architecture around AI characteristics, forming an intelligent + ecological base with full-stack collaboration of "model-system-chip". Compared with traditional operating systems, the new generation of intelligent operating systems will have several significant breakthroughs:

Conclusion

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