Is “live AI video generation” a meaningful technical category or just a marketing term? [R]

Asking from a technical standpoint because I feel like the term is doing a lot of work in coverage of this space right now. Genuine real-time video inference, where a model is generating or transforming frames continuously in response to a live input stream, is a fundamentally different problem from fast video generation. Different architecture, different latency constraints, different everything.

But in most coverage and most vendor positioning they get lumped together under “live” or “real-time” and I’m not sure the field has converged on a shared definition.

Is there a cleaner way to think about the taxonomy here? And which orgs do people think are actually doing the harder version of the problem?