Lvxferre [he/him]

The catarrhine who invented a perpetual motion machine, by dreaming at night and devouring its own dreams through the day.

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Joined 1 year ago
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Cake day: January 12th, 2024

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  • That’s what happens when a crowd of bloody muppets, who: don’t understand science, refuse to learn about it, refuse to understand what specialists are talking about, take conclusions from a mix of wishful belief + assumptions + pulp fiction, manages to get one of themselves in power. And if anything it proves to me that stupidity is worse than malice.

    Like, let’s pretend for a moment that they totally resurrected the dire wolf, instead of editing a few grey wolf genes and calling it a day. And let’s pretend that this strategy would be viable for multiple species, even dinos. You’re still doing a lot more effort to resurrect a species than to just keep it alive, you know? The efficient strategy here is to protect those species.




  • I’m not aware of any paper about this; specially with how recent LLMs are, it’s kind of hard to detect tendencies.

    That said, if I had to take a guess, the impact of LLMs in language will be rather subtle:

    • Some words will become more common because bots use them a lot, and people become more aware of those words. “Delve” comes to my mind. (Urgh. I hate this word.)
    • Swearing will become more common too. I wouldn’t be surprised if we saw an uptick of “fuck” and “shit” after ChatGPT was released. That’s because those bots don’t swear, so swearing is a good way to show “I’m human”.
    • Idiosyncratic language might also increase, as a mix of the above and to avoid sounding “bland and bot-like”. Including letting some small typos to go through on purpose.

    Text-to-speech, mentioned by @Shelbyeileen@lemmy.world, is another can of worms; it might reinforce non-common pronunciations until they become common. This should not be a big issue e.g. in Italian (that uses a mostly regular spelling), but it might be noticeable in English.






  • If I got this right the relationship between this and the game of Ur is a lot like chess vs. shōgi: similar board and objective; common origin; different pieces, rules, and strategy.

    Modern AI techniques are further aiding the understanding of ancient games. By simulating thousands of potential rulesets, AI algorithms help determine which rules result in enjoyable gameplay.

    The “AI” in question is probably more like chess engines, and completely unlike LLMs or diffusion models. Just a way to simulate a huge number of games between decent-ish players, for any given ruleset. That allows you to check if any given ruleset has blatant issues, like:

    • One side almost always wins
    • The winner is determined too early
    • The game takes too few or too many turns to complete
    • There are “cheesing” strategies

    Gamesets with those issues are unlikely to be played by human beings enough to allow the game to spread.

    There’s probably a lot of guesswork in the ruleset that the researchers chose though.




  • Lvxferre [he/him]@mander.xyztoScience Memes@mander.xyzSAVE THE BEES
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    5 months ago

    At least here in my city (Curitiba - somewhere in the southern cone), the city hall has been plopping beehouses across the city, all of them with native species. That has been going on for a few years, and I did notice them far more often (they go crazy for my sage).

    I feel like other places in the Americas could / should do the same.


  • It’s tempting to look for potential vocab exchange between Rapa Nui and (Quechua and Aymara). That could help dating the exchange with the Andes, as the lexicon stops following the lender’s sound changes to follow the borrower’s instead.

    (Polynesian syllabic structure and small phonemic stock make this extra tricky though. For example, Classical Quechua /s ʂ h/ would probably end all merged into /h/, and you’d see multiple epenthetic vowels popping up.)

    Even then I wouldn’t be surprised if they contacted the folks up south, like the Mapuche. Specially as I don’t expect the landing spot from a Rapa Nui → South America to be the best spot to start the opposite travel, due to sea currents.