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The core problem with a mandated AI kill switch is architectural. Production AI systems are not designed with clean interrupt paths.
Compute is distributed across many nodes, inference requests are processed asynchronously, and model weights sit in memory on hardware with no native concept of a centrally commanded halt.
Cutting a node's connection drops its workload to adjacent capacity rather than eliminating it.
Requiring a hard, reliable override means imposing a constraint on infrastructure that was built for fault tolerance and uptime.
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