Anthropic is loudly complaining about other companies using Claude to train their models, which seems a touch rich

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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.

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AI agents can help with your shoppingA major use-case for agentic AI is in researching and buying products. That makes sense — more involvement in e-commerce can only mean more money towards the builder of the agent. To be clear, we aren't quite at the fully human-free version of shopping that's likely to become more common soon. However, if you still want to keep an eye on the shopping process while cutting down on the steps you actually need to take, some of the currently available AI agents might be helpful.