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by xigoi 46 days ago
> often used as an example of "acceptable" AI by people who are skeptics of LLMs and AI-generated art.

As one of such people, I think there is a nuance to it. AI is great when you’re translating something to yourself. But when translating things for others, more caution and human judgement is needed. Espesially when translating instruction manuals, where bad wording could cause someone to injure themself.

3 comments

This. I put things through Google translate all the time and they're always unreliable. Sometimes they're correct, sometimes I need to know roughly what the original said. Infamously, Google used to say "geiler Typ" meant "horny guy" when it means "awesome guy". Google used to think "geil" meant "horny" in general, which it can but not usually
Google translate is primitive compared to Claude at translations.
Google Translate is at the bottom of the barrel. All other AI translation tools are vastly superior. You'd want to evaluate those, and forget about Google Translate completely.
It's all the same, except LLMs are less precise with names.
Googles machine translation team wrote the Attention is all you need paper that introduced transformers specifically to solve the problem that you can just model language by mapping one word to another. I'd be floored if they weren't using the tech they invented for intended purpose
Yeah. LLMs, machine translations, CJK keyboards, they are all the same technology; faster cars to each others, not cars vs horse drawn carriages. It'll be surprising if they didn't directly apply any applicable learnings back to Google Translate.
Just like a car and a school bus are the same because both have four wheels?
Language is incredibly complex. I remember a TikTok from a bilingual English-Korean speaker comparing the English subtitles from a Squid Game scene to what was actually being said by the characters. The nuance and info density lost in translation made the subtitles feel completely remedial. Americans were basically watching a different show altogether.
I'm by no means a native level Japanese speaker but I'm frequently surprised at how off Japanese-English subtitles can be.
I was watching the Netflix show The Empress with Chinese subtitles that did a pretty good job translating the German. I switched to English subs for one episode and couldn't stop telling the people I was watching with "That's not what he said! That's completely different!"
Oh weird! I wonder why that is. I wonder if they just put more effort into translating to Chinese? Very curious/interesting.
Exactly, it's never about absolute results, it's always

Expected Value (Upside, given time/cost savings + Downside, given %reliability).

So, every task falls under a spectrum