What do you use them for? For most AI users it's usually CRUD and I've never seen a web server or frontend in APL like languages.
The reason why programming is hard is because most languages force you to use a hammer when you need a screw driver. LLMs are very good at misusing hammers and most people find them useful for that reason.
If you use a sane dsl instead the natural language description of a problem is always more complex and much longer than the equivalent description in a dsl. It's also usually wrong to boot.
This is what algebra used to look like before variables: https://en.wikipedia.org/wiki/Archimedes%27s_cattle_problem#...
I don't think you will find anyone who can do better than an LLM at one shotting the prose version of the problem. Both will of course be wrong.
But I also don't think you will find an LLM that can solve the problem faster than a human with Prolog when you have to use the prose description of the problem.