Core Viewpoint - Vivo has announced the open-source release of its self-developed Blue River operating system kernel, which is the first open-source Rust kernel suitable for embedded and mobile devices, addressing long-standing issues of memory safety and maintenance costs associated with traditional C language [1][2][3]. Group 1: Features of Blue River Operating System - The Blue River operating system is entirely written in Rust, providing inherent advantages in memory safety, efficiency, and cross-platform compatibility [2][3][9]. - The kernel is lightweight, requiring minimal hardware resources, with a minimum kernel heap memory usage of only 13KB, making it suitable for devices with limited memory [22][24]. - It supports multiple architectures, including ARM and RISC-V, facilitating easier porting for developers [26][28][30]. Group 2: Security Advantages - Rust's ownership and borrowing mechanisms ensure memory safety by preventing common vulnerabilities such as buffer overflows and null pointer dereferences [16][18]. - The kernel's design incorporates various security strategies, including privilege separation and module isolation, to provide comprehensive protection [18][20]. Group 3: Industry Impact and Ecosystem Development - The open-sourcing of the Blue River kernel aims to promote the Rust ecosystem in China, addressing the need for a robust development community around Rust [45][47]. - Vivo plans to collaborate with industry partners and educational institutions to host the Blue River operating system innovation competition, fostering learning and innovation [4][46]. - The move is seen as a significant step towards achieving autonomy in operating system development, reducing reliance on existing Linux kernels [42][45]. Group 4: Future Opportunities - The open-source nature of the Blue River kernel allows for broader community involvement, enabling developers to innovate based on the kernel [46][50]. - The kernel is positioned to meet the increasing demands of AI applications, providing a reliable foundation for future developments in AI-native terminals [47][51].