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Duolingo Fires Translators in Favor of AI (futurism.com)

submitted 10 months ago by [email protected] to c/[email protected]

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Duolingo is very much on the Enshittification path, seems like they fired a number of translators and have the rest just proofreading AI.

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[–] [email protected] 37 points 10 months ago (3 children)

The circle of life continues, and literacy goes down. AI cannot proofread, it merely says "these letters usually go with these". AI screws up, people get taught shit language, they use it, it gets used as training data, rinse and repeat.

[–] [email protected] 15 points 10 months ago (1 children)

The Extinction level meteor can't come soon enough.

Time to pack it in and give some other microorganism a shot at the evolutionary big-leagues. Maybe they'll do better.

[–] [email protected] 3 points 10 months ago (1 children)

Assuming we take the Halo lore as a matter of fact and are not projecting human faults to the Covenant: I guess not really.

As soon as monarchs or religious leaders emerge it's game over.
And I'd guess there will always be someone more rich than the other one and be in charge of something more resulting in something like a capitalist system.

[–] [email protected] 1 points 10 months ago

Sadly true.

[–] [email protected] 7 points 10 months ago* (last edited 10 months ago)

Well language is a fluid thing. If more and more people get taught shit language, the language will change to match. We have far worse problems on this planet :)

I do think these AI companies grabbing what they can without giving anything back is a problem though. In my view content creators are a bit hypocritical too though. When Google scraped the internet verbatim (viewable in google cache) they didn't mind because it gave them discoverability. Now they suddenly do care because they don't benefit directly. Really, the stance should have been made earlier. But I do agree it should be stopped. Or content creators compensated.

[–] [email protected] 1 points 10 months ago

Absolutely the large language models are over glorified word predictors that get it wrong. I’d go so far as to say, they get it wrong nearly all the time.