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Cake day: June 28th, 2025

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  • Deeply would translate from Chinese, maintaining the idioms or minimally adapting them. LLMs take your input and generate a seemingly similar output, which technically says the same thing, but the writing style is completely different.

    I write both in English and Spanish all the time, and sometimes I give a pass through a translator or LLM to touch up some emails for work, and the difference in writing is very obvious. One is a translation, the other is what your English buddy wrote after you explained to them what to write. Sometimes I do want that corpo bullshit speech that I can’t come up with natively because the email is for some corporate bastard that will appreciate that vomit, though.

    Edit: sorry for the long post,but to expand on the “Deeply is not a translator,but a language model”. Most translators nowadays are language models, NLP was originally developed for translation, although it opened the door for LLMs to exist. What I wanted to say is that not all language models work the same way, and the way language models are used in translation and within LLMs is very different.

    Disclaimer: English to Spanish translation is one of the best in the world due to the amount of shared text we have, and the writting style, idioms and such don’t change as much and they would for Chinese, so I understand why they would prefer to format it via an LLM. Still, maybe it was too much.


  • Nothing alike. Voting is a trust issue, and while we have several trust based systems, it’s very hard to implement a system where even if the users don’t trust the system itself they can trust the result it produces. That’s the issue with electronic voting, trust that is placed in manual vote counting volunteers supervised by representatives of every party is small, because you only need to trust that each box was counted correctly. When you aggregate all those small trusts into a singular system, which even if divided in machines, is still a singular entity, then it’s impossible to trust the centralised system enough, and it must be incredibly robust to prove to every individual that their vote was cast correctly.

    I proposed a system like that in my last comment, but I still wouldn’t trust such a system simply because the risk someone phishing the machines on voting day is so high, even if it has close to zero probability, that we can’t risk it.


  • The whole system is built on trust. With regular voting, we trust that there are enough people counting and validating each voting box that there won’t be much tampering. Each group only has to validate their own box, and so the trust required for it is not that high. We also know that each physical vote introduced in the box is there.

    With machine voting, even if you use local machines that give results to humans, which then are inputted in a bigger database for counting, the entity doing the initial count for the district “box”, is singular, and there is no way to manually check unless there’s a bunch of humans watching every anonymous “ballot” of that box are registered correctly. You can’t really do that when the ballot is an “anonymous” input in a machine, there’s no paper trail verifiable by the small trusted human group we used to trust.

    Even if there are a bunch of machines, trust is lost. Now imagine the actual useful proposals where you can vote from the phone Yada yada. Trust is completely lost.

    The only way to be able to validate is for your vote to have an ID, that you and only you know is yours, and for each vote ID to be public. That way each individual person can validate that their vote is being correctly counted in their district, and trusted individuals can correctly corroborate that the amount of imputed votes makes sense with the amount of people registered to vote in that district.

    That puts at risk that people without tech expertise wouldn’t know how to validate or even store their secret ID so others don’t know it’s them, and that we would need to trust the government that they don’t store a database of ID - citizen.

    And yeeeeeess, blockchain based ledgers would be good for nonce (secret ID) based voting, but even if that tech works well, socially is still hard to implement as stated before.












  • If the photo is real, someone doing this is ridiculous, the effort is commendable and the comparison to a normal person is so stark that it’s funny. If the photo isn’t real, no one did this, there’s no comparison to the normal person because there’s no one actually doing it, and I feel robbed of that funny feeling I should feel if it were real. Thus, learning that some funny picture isn’t real infuriates me.

    It isn’t the image that’s funny, it’s the reality the one on the picture or the ones taking it are trying to convey with their work. In an AI image, that’s robbed. Mind you, a Photoshopped image where the ship is done secretively, not in a clearly conveyed joke or obvious shop, is also infuriating.


  • fushuan@piefed.blahaj.zonetoLemmy Shitpost@lemmy.worldCarnists be like...
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    1 month ago

    If they don’t use it as a noun it doesn’t work, that’s why. “Other women” cows aren’t women, they are cows or bulls. Female cows, implied, but also the you can’t say “other”, we aren’t cows. If they want to equate women and cows they kiiiinda need to use the bad term I guess? Regardless of your feelings with what they are saying.