You can (and always were encouraged to) ask your own questions, too.

And there are more sites like this (see e.g. https://codidact.com — fd: moderator of the Software section). Just because something loses popularity isn't a reason to stop doing it.

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eastbound 4 days ago | parent [-]

StackOverflow is famously obnoxious about questions badly asked, badly categorized, duplicated…

It’s actually a topic on which StackOverflow would benefit from AI A LOT.

Imagine StackOverflow rebrands itself as the place where you can ask the LLM and it benefits the world, whoch correctly rephrasing the question behind the scenes and creating public records for them.

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rerdavies 4 days ago | parent | next [-]

And famously obnoxious about rejecting questions that are properly asked, properly categorized, and not actually duplicated.

	▲	eastbound 4 days ago \| parent [-]
		SO is not obnoxious because the users are wrong!

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wizzwizz4 4 days ago | parent | prev [-]

The company tried this. It fell through immediately. So they went away, and came back with a much improved version. It also fell through immediately. Turns out, this idea is just bad: LLMs can't rephrase questions accurately, when those questions are novel, which is precisely the case that Stack Overflow needs.

For the pedantic: there were actually three attempts, all of which failed. The question title generator was positively received (https://meta.stackexchange.com/q/388492/308065), but ultimately removed (https://meta.stackoverflow.com/q/424638/5223757) because it didn't work properly, and interfered with curation. The question formatting assistant failed obviously and catastrophically (https://meta.stackoverflow.com/a/425167/5223757). The new question assistant failed in much the same ways (https://meta.stackoverflow.com/a/432638/5223757), despite over a year of improvements, but was pushed through anyway.

	▲	eastbound 3 days ago \| parent [-]
		This is an excellent piece of information that I didn’t have. If the company with most data can’t succeed, then it seems like a really hard problem. On the side, they can understand why humans couldn’t do it either.