I think that's one of the things that irks me most about this LLM bubble. I think ML has really cool applications in research, approximate tasks with margins for error like image classification, upscaling etc. It was one of my favorite topics during my CS degree. But now it's tainted by the gen "AI" slop machines, so all the interesting breakthroughs of real practical ML get chalked up to "AI" innovation and people just assume chatGPT is responsible when it's actually a team of researchers building small efficient programs. Ofc ML is less efficient than traditional computational approaches that can work deterministically so those should always be prioritized, but it has its uses for sure.
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