I don't think it's a hot take among us practitioners. I view in terms of "how many capabilities are needed in the radar chart?" Systematic MLOps helped to decr

I don't think it's a hot take among us practitioners. I view in terms of "how many capabilities are needed in the radar chart?" Systematic MLOps helped to decrease _some_ of that, but not nearly enough, and certainly not with the recent explosion of LLM-induced hype. I view MLOps engineers and ML engineers as tasked with scaling the problems, and research scientists as the scoping and pioneering of solutions. All three fall under the larger umbrella we call "Data Science" IMHO.