I meant that your examples have no sense, points in your list, not your points about very limited abilities of ANNs. Sorry.
All your examples are perfectly expectable and predictable for any user with knowledge, so no such user will ever ask them.
As for computer code, it is not just some compilation of patterns reused over and over. To write something sensible programmer should understand context and code itself. ANN could generate working code, but it does not mean this code will work correctly. There are already many articles around about attempts to generate useful code. Even "Hello world" sometimes appear surrealistic, especially for languages rare in training dataset. Worst thing is that ANN easily insert code in another language if required piece of code was not found written in specified language. For something more or less large, say from 1Kl, it is easier and faster to write everything from scratch than to review generated code and fix all nonsense.
There was attemtps to create real code generators in 90s on the basis of expert system with knowledge databases, but all of them was ostracised and declared "bad coding practice".
I see only real use for such ANNs is creating marketing ads content - senseless more or less standard texts and pictures. Or may be few other places where content does not have to have some sense, it just have to exist to attract somebody attention or occupy some area.
I meant that your examples have no sense, points in your list, not your points about very limited abilities of ANNs. Sorry.
All your examples are perfectly expectable and predictable for any user with knowledge, so no such user will ever ask them.
As for computer code, it is not just some compilation of patterns reused over and over. To write something sensible programmer should understand context and code itself. ANN could generate working code, but it does not mean this code will work correctly. There are already many articles around about attempts to generate useful code. Even "Hello world" sometimes appear surrealistic, especially for languages rare in training dataset. Worst thing is that ANN easily insert code in another language if required piece of code was not found written in specified language. For something more or less large, say from 1Kl, it is easier and faster to write everything from scratch than to review generated code and fix all nonsense.
There was attemtps to create real code generators in 90s on the basis of expert system with knowledge databases, but all of them was ostracised and declared "bad coding practice".
I see only real use for such ANNs is creating marketing ads content - senseless more or less standard texts and pictures. Or may be few other places where content does not have to have some sense, it just have to exist to attract somebody attention or occupy some area.