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I'm A Game Dev Who Got Layed Off From His Non-Game Dev Job (lemmy.world)
submitted 3 months ago by to c/games@lemmy.world
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[–] 18 points 3 months ago (2 children)

I don't mean to hate. The game looks interesting and I'm sure you worked hard on it.

However, you got laid off due to AI, and then went straight to ChatGPT for translations? Sadly, most online translators are highly AI nowadays (and usually produce worse translations than before AI), but there are still better options than chatbots.

It just looks lazy, especially that you completely missed ChatGPT's commentary. Such an obvious and easy mistake to avoid.

My advice would be: absolutely avoid using LLMs and Gen AI for anything related to your game, because your potential customers will blacklist you for using it. And ask yourself: do you really need to translate the game (or its Steam page) to many different languages if it's not even selling enough copies for you to withdraw the money?

A lot of indie games are English-only, precisely because translation is too expensive and unnecessary at first. It's great to make your games available to as many people as possible, but don't forget about principles and quality. First, focus on those two, then maybe try writing translations for any languages you know well.

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  • [–] 13 points 3 months ago* (1 child)

    Language translation tools have been AI-based for nearly 30+ years now (Literally, ML based translation started in the 90's). What are you on about?

    Using ChatGPT is definitely egregious for language translation with other translation tools out there, but you seem to think that translation tools using AI are a bad thing. They literally only work worth a damn because they are ML models ("AI"). And have been since they started working well....

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  • [–] 3 points 3 months ago

    I loosely used the term 'AI'. Most people don't exactly know what artificial intelligence is or how it works, so using the terms according to their definitions sometimes creates more confusion than clarity.

    Of course translation tools like DeepL have always been based on machine learning. The difference is that a few years ago DeepL worked well and its home page wasn't filled with 'AI this' and 'AI that'. They seem to have transitioned from their old ML models to some of the newer LLMs. From my experience the translation quality is much worse than it used to be.

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