> it may raise some questions about the necessity of Jev's architecture

When I hear “architecture” I am thinking number of parameters and latency.

When I hear “accuracy” I think training recipe, data, and (later) number of parameters.

So when you say that Jev’s architecture may not be necessary, the evidence I expect to see is comparable quality at comparable latency. Not equal quality at 2x latency and 4x the cost.