[avadodin]

I don't think the LLMs are to blame here. Not yet, at least.

This is caused by people active in English-speaking communities translating memes literally and spreading them in their native language communities as-is.

As the meme spreads, monolingual speakers begin using the same format and eventually they reference it off-line.

[gyomu]

> This is caused by people active in English-speaking communities translating memes literally and spreading them in their native language communities as-is.

You're right that memes are getting translated literally and spreading, but in terms of pure volume, LLMs doing the translation dwarf humans doing the translation.

Building a bot that picks whatever posts are trending on Reddit/imgur/etc, automatically translates them, and then posts them in target languages on social networks is an easy way to accumulate likes+followers; then those high reach accounts get used to push whatever makes money.

[int_19h]

Not really. I have observed the same thing in Russian, and no, it's not for expressions that are translated literally.

Having said that, SOTA models got much better at this kinda stuff. They're quite able to write in a way that is indistinguishable from a native speaker, colloquialisms and all, with the right prompting.

But SOTA models are also expensive. Most automated translations are done with something way cheaper and worse.

[Jach]

That's basically my complaint about all these AI translations being shoved around in places. If they were better, I'd complain less. I suppose they'll get better eventually, but that's not really guaranteed. Google Translate is still somehow terrible and has stagnated for a long time -- things got a little bit better with DeepL but now SOTA LLMs (e.g. ChatGPT) are quite good (even if they still have quite some ways to go) and so far beyond the old stuff, and allow you to actually discuss the translation itself with nuances kept/lost rather than just a straight one-shot A to B.

[int_19h]

Reasoning models are pretty interesting for this because they can iterate on the translation to get the subtle parts (like tone) right, especially if you prompt them to do so specifically.