Why the move from SDDM to PLM?

Do you have examples?

Because most of what you are listing is stuff that has been using ML for years (possibly decades when it comes to meteorology) and just slapped “AI” on as a buzzword.

What advances?

LLMs don’t have anything to do with abstract ideas, they quite literally produce derivative content based on their training data & prompt.

The same can be said of the approach described in the article, the “GPLv4” would be useless unless the resulting weights are considered a derivative product.

A paint manufacturer can’t claim copyright on paintings made using that paint.

Seems like the easiest fix is to consider the produce of LLMs to be derivative products of the training data.

No need for a new license, if you’re training code on GPL code the code produced by LLMs is GPL.