WOAAAA!!!!
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WOAAAA!!!! #smolBSD with libkrun on aarch64!! By the one and only @slp ❤️
https://x.com/slpnix/status/1984400857077572027?t=h59EGz3mWrbKtTDdlq6fOA&s=19
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Gli ultimi otto messaggi ricevuti dalla Federazione
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@sio la matematica che ci piace
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@sknob @paul aw Tweetbot! RIP. I was recently cleaning up my old Mac and I had to reluctantly delete it from there (the MacOS version). Longtime fan of Tapbots 🥲
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@galaxis @Gargron Or Google. Last week I stumbled upon an Google admin interface where the checkbox with the English label "Enforcement" was translated in French with the equivalent of "Activation". It was about 2FA, and those both words doesn't mean at all the same thing in that context!
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@Gargron I worked with subtitle translations for years... I need to comment on this!
The main issue people working with machine translated subtitles is that people take models for translating things in a single modal – text – and applying to a multimodal media – video. Of course the results are horrible!
There are research on improving that, sure, I did some, even, but even we are FAAAR from getting them any good. Translating "The nurse aided the doctor take care of the patient." to many languages require guessing the gender of three people! LLMs will often default to male, female and male, due to bias.
But, the sad thing we have to admit: many works of art are so unpopular the only translations people will have are machine ones, from weird anime like Sazae-san, to Mastodon toots.
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@AVincentInSpace it literally is haha. Fellowship was just as bad.
I was still dialup back in those days so I’d order my bootleg DVDs from a dude in Hong Kong and I just about died laughing when I turned on subtitles randomly
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My main use case for machine translations is spot checking words in languages I don't know as well as I should.
They are great for that.
