Earlier quoted context omitted.
Easy counterexample: dumb unsharp masking will ruin close-up scenes that are shot for softness and/or have bokeh. ML upscalers can do this too when applied mindlessly. But you can also train an upscaler on the same type of footage, or even on the parts of the same footage available in higher definition. Even if you don't, matching the upscaler with the intent behind the content is your job. The separation you're talk…
Remastering can screw up intent with something as simple as color grading. But there is a line here. An editor that's using simple tools knows exactly what they're changing, and if they're using simple frame-global tools then they're not introducing anything that wasn't already there. If you throw an AI at things, it will try to guess what things in the image are, and make detail adjustments based on that. So that's…
The problem is that remasters don't make a lot of money, so instead of a properly controlled faithful representation (or a good rethinking) it's typically a half-assed job with a couple filters run over the entire piece. Another issue is that you now have two possibly conflicting intents - one from the original and another from the remaster. ML haven't changed anything in here, it's always been like that.