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remixff2400 5 days ago | parent | next [-]

From the guidelines:

> Please don't post shallow dismissals, especially of other people's work. A good critical comment teaches us something.

because... they don't have as many examples, documentation, textbooks, or public example projects to base generation off of, perhaps. There may be a future where documentation/servers are more formally integrated with LLMs/AI systems in a way that makes up for the relative lack of literature by plugging into a source of information that can be used to generate code/projects.

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nxobject 5 days ago | parent | next [-]

It's a not-so-ideal situation: how is the marketplace of libraries and languages going to evolve when you're competing against whatever version of Python and $FRAMEWORK that was crawled a long time ago?

	▲	tjr 5 days ago \| parent [-]
		If AI is writing the code, how important is it to have new languages?

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pasc1878 5 days ago | parent | prev [-]

That might actually be a benefit as most public code say in C++ is not good code.

If the pool is smaller but from say experienced programmers then the number of errors might be less. I can see that for Ada however most Haskell is probably written by undergraduates just learning it so not a quality code base.

I think Apple researchers published a recent papaer where they had a LLM giving good Swidt code but the original corpus only included one Swift program but the AI model was tuned by experienced Swift programmers to get into a good stae for general use.

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altix350 5 days ago | parent | prev [-]

I would say yes in that it could help revitalize things a bit. Writing difficult and complicated bindings to C libraries will be much easier now. Also, if you can supply a decent context, LLMs can do some good coding in Ada (just not new or fancy features without examples).