> However, there will be cases where lacking the LLM output, there isn't any output at all.

Why would there be? You're using something to prompt the LLM, aren't you - what's stopping you from sharing the input?

The same logic can be applied in an even larger extent to foreign-language content. I'd 1000x rather have a "My english not good, this describe big LangChain bug, click <link> if want Google Translate" followed by a decent article written in someone's native Chinese, than a poorly-done machine translation output. At least that way I have the option of putting the source text in different translation engines, or perhaps asking a bilingual friend to clarify certain sections. If all you have is the English machine translation output, then you're stuck with that. Something was mistranslated? Good luck reverse engineering the wrong translation back to its original Chinese and then into its proper English equivalent! Anyone who has had the joy to deal with "English" datasheets for Chinese-made chips knows how well this works in practice.

You are definitely bringing up a good point concerning accessibility - but I fear using LLMs for this provides fake accessibility. Just because it results in well-formed sentences doesn't mean you are actually getting something comprehensible out of it! LLMs simply aren't good enough yet to rely on them not losing critical information and not introducing additional nonsense. Until they have reached that point, their user should always verify its output for accuracy - which on the author side means they were - by definition - also able to write it on their own, modulo some irrelevant formatting fluff. If you still want to use it for accessibility, do so on the reader side and make it fully optional: that way the reader is knowingly and willingly accepting its flaws.

The stigma on LLM-generated content exists for a reason: people are getting tired of starting to invest time into reading some article, only for it to become clear halfway through that it is completely meaningless drivel. If >99% of LLM-generated content I come across is an utter waste of my time, why should I give this one the benefit of the doubt? Content written in horribly-broken English at least shows that there is an actual human writer investing time and effort into trying to communicate, instead of it being yet another instance of fully-automated LLM-generated slop trying to DDoS our eyeballs.

I completely agree I prefer the original language as it offers more choice in how to try to consume it. I believe search engines segment content by source language though, so you would probably not ever see such content in search results for English language queries. It would be cool if you could somehow signal to search engines that you are interested in non-native language results. I don’t even tend to see results in the second language in my accept languages header unless the query is in that language.