> Shouldn't we wait until research has created an efficient architecture that is easily scalable first? A scalable architecture has a prerequisite of known pro

> Shouldn't we wait until research has created an efficient architecture that is easily scalable first? A scalable architecture has a prerequisite of known product requirements and known implementation specs. Neither is true right now as this field is evolving at a crazy rate. Approaches like what Groq has are great for increasing efficiency, but at the cost of flexibility. Early on in any technology flexibility is imperative until product/market fit is established more clearly. Also reducing this to autocompletion/generating random images really reduces what AI actually is. Those are two use cases for a very generalizable area.