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The approaches differ in where they draw the boundary. Namespaces use the same kernel but restrict visibility. Seccomp uses the same kernel but restricts the allowed syscall set. Projects like gVisor use a completely separate user-space kernel and make minimal host syscalls. MicroVMs provide a dedicated guest kernel and a hardware-enforced boundary. Finally, WebAssembly provides no kernel access at all, relying instead on explicit capability imports. Each step is a qualitatively different boundary, not just a stronger version of the same thing.

全球范围内,真正打通端侧 AI 全栈的公司,可能只有一家:苹果。芯片、设备、操作系统、自研模型,全部自有。苹果的动力来自复合型的商业模式,这驱动它把一切计算尽可能留在设备上,因为每一次端侧 AI 体验的提升,都会转化为硬件的溢价和生态的黏性。

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