Feels like AI scaling is quietly turning into a plumbing

Feels like AI scaling is quietly turning into a plumbing and physics problem now. Everyone talks about the model, but the real choke points are memory bandwidth, KV cache size, power delivery, and even whether copper cables can keep up inside data centers — which is why you’re suddenly hearing more about optics and memory stacks than flashy new benchmarks.