Lvxferre [he/him]

I have two chimps within, Laziness and Hyperactivity. They smoke cigs, drink yerba, fling shit at each other, and devour the face of anyone who gets close to either.

They also devour my dreams.

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Joined 2年前
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Cake day: 2024年1月12日

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  • Thank you for pointing out corrections and clarifications. (I fixed the party’s name.)

    I called it a “spiritual successor” because it’s basically the same right “appeal” to the masses, but I’m aware it isn’t a direct successor to the National Socialist Party. If I understood its history correctly, the process AfD went through is similar to the one of the Lega Nord, in Italy: the party starts gathering people for one cause (for AfD it was euroscepticism, for LN it was independence), but internal composition changes and so does the ideology, going further and further onto the right.

    That [lower income people are easier to rally into supporting fascism] is a simplification.

    Yup, I’m aware. Or rather, a generalisation, that applies better elsewhere — the trashing of their companies is zbs rather specific to East Germany, but elsewhere you still see fascists trying to gather support from poorer demographics (e.g. rural Southerners in USA, Protestants in Brazil, etc.) I love that you went into the specifics though, this is actually important to contextualise it.



  • I couldn’t find English subtitles, but here’s some quick rundown, it’s partially from the video and partially from info I got about the topic from elsewhere. Discretion is advised, my German is getting really shitty over the years (and it was never good to begin with).

    They’re talking about the spiritual successor of the Nazi party in Germany, called Alternative für Deutschland (AfD). Currently it got ~1/7 of the German parliament, it’s specially popular in Eastern Germany (lower income people are easier to rally into supporting a fascist party by using immigrants as scapegoat for their poverty), and it’s getting stronger.

    Currently the party is legalised but people like those two are [IMO rightfully] trying to get it banned as anticonstitutional. And at this rate the AfD being a problem isn’t just a theoretical matter, they’re already threatening and killing people, right-wing violence is exploding there acc. to the video. Check the graphs around 6:40 and you’ll see (Left: criminality split by political ideology; right: criminality in comparison with the share of the parliament the AfD has).

    So they’re gathering evidence of all that shit, and pressing politicians to ban the bloody party. There’s a site gathering all this evidence, afd-verbot.de. They’re also using the fact property rights are non-negotiable in Germany to rent the property facing the AfD hall and doing stuff like projecting Hitler’s Young into the AfD hall, since a lot of the AfD modus operandi is to say “nooo~ we walk like ducks, quack like ducks, do salutes like ducks, but we are no ducks”.

    Later on they talk on how fascism’s path to power goes through conservatives, so in order for the AfD to seize power it’d need a coalition with the CDU (Christian Democratic Union), and they’re trying to prevent this. Then they mention a regional CDU president, Walter Lübcke (Hesse); he was strongly opposed to the AfD, and got killed by them, so they’re trying to build a memorial to him etc. to warn against a conservative/fascist alliance.





  • You know what, I got a brilliant idea:

    See, the chimp in my avatar is called Ai Ai. Was? I don’t know if she’s still alive; last news I could find about her are from 2005, when she stopped smoking. Anyway, what if I had artificial intelligence to create a bunch of her pictures, and sold them as NFT? The “AI Ai Ai collection”, or Ai³ for short. I wouldn’t do this to scam a bunch of suckers, noooooo; I’d do it because you can get rich, if you “invest” into my collection: buy an Ai³ NFT now, for just 100 euros. Then resell it for a thousand euros, for mad profitz!!!

    […I’m obviously joking. C’mon, this summer is easily getting past 30°C, in a city where it used to snow once in a blue moon. I definitively don’t want to feed the global warming further with dumb crap like this.]



  • I learnt about .XCompose in my last uni times; it made typing transcriptions in the IPA (international phonetic alphabet) actually bearable. Every other strategy was a mess: copying and pasting was too laborious, and it was too easy to forget something if I used find-and-replace.

    I'll share my .XCompose here, to give you guys an idea.
    # random misc
    <dead_acute> <%> : "‰"
    <dead_acute> <minus> : "⇌"
    <dead_acute> <apostrophe> : "`"
    <dead_acute> <h> : "⟨"
    <dead_acute> <j> : "⟩"
    <dead_grave> <h> : "͡"
    <dead_grave> <j> : "͜"
    
    # typing Polish in an ABNT2 keyboard
    <dead_grave> <C> : "Ć"
    <dead_grave> <c> : "ć"
    <dead_acute> <D> : "Ą"
    <dead_acute> <d> : "ą"
    <dead_acute> <F> : "Ę"
    <dead_acute> <f> : "ę"
    <dead_acute> <X> : "Ż"
    <dead_acute> <x> : "ż"
    
    # Subscript numbers
    <dead_acute> <0> : "₀"
    <dead_acute> <1> : "₁"
    <dead_acute> <2> : "₂"
    <dead_acute> <3> : "₃"
    <dead_acute> <4> : "₄"
    <dead_acute> <5> : "₅"
    <dead_acute> <6> : "₆"
    <dead_acute> <7> : "₇"
    <dead_acute> <8> : "₈"
    <dead_acute> <9> : "₉"
    
    # Change vowel height a bit, consonant fortition, tap
    <Multi_key> <a> <1> : "ɐ"
    <Multi_key> <e> <1> : "ɛ"
    <Multi_key> <h> <1> : "ʔ"
    <Multi_key> <i> <1> : "ɪ"
    <Multi_key> <j> <1> : "ɟ"
    <Multi_key> <l> <1> : "ɬ"
    <Multi_key> <o> <1> : "ɔ"
    <Multi_key> <r> <1> : "ɾ"
    <Multi_key> <u> <1> : "ʊ"
    <Multi_key> <y> <1> : "ʏ"
    
    # Change vowel height by a lot, lenition
    <Multi_key> <a> <2> : "ə"
    <Multi_key> <b> <2> : "β"
    <Multi_key> <g> <2> : "ɣ"
    <Multi_key> <o> <2> : "ɒ"
    <Multi_key> <p> <2> : "ɸ"
    <Multi_key> <q> <2> : "χ"
    <Multi_key> <r> <2> : "ɹ"
    <Multi_key> <t> <2> : "θ"
    <Multi_key> <v> <2> : "ʋ"
    
    # Vowel fronting, consonant palatalisation
    <Multi_key> <u> <3> : "ʉ"
    <Multi_key> <l> <3> : "ʎ"
    <Multi_key> <d> <3> : "ɟ"
    <Multi_key> <n> <3> : "ɲ"
    <Multi_key> <s> <3> : "ʃ"
    <Multi_key> <z> <3> : "ʒ"
    
    # Vowel backing, consonant retroflexion
    <Multi_key> <a> <4> : "ɑ"
    <Multi_key> <e> <4> : "ɜ"
    <Multi_key> <i> <4> : "ɨ"
    <Multi_key> <r> <4> : "ɻ"
    <Multi_key> <t> <4> : "ʈ"
    <Multi_key> <d> <4> : "ɖ"
    <Multi_key> <s> <4> : "ʂ"
    <Multi_key> <l> <4> : "ɭ"
    <Multi_key> <n> <4> : "ɳ"
    <Multi_key> <z> <4> : "ʐ"
    
    # Rounding/unrounding vowels
    <Multi_key> <o> <5> : "ɤ"
    <Multi_key> <u> <5> : "ɯ"
    <Multi_key> <w> <5> : "ɰ"
    <Multi_key> <j> <5> : "ɥ"
    
    # Diacritics, tone
    <Multi_key> <a> <6> : "́"
    <Multi_key> <b> <6> : "ʱ"
    <Multi_key> <c> <6> : "̩"
    <Multi_key> <d> <6> : "̣"
    <Multi_key> <e> <6> : "ᵊ"
    <Multi_key> <g> <6> : "ˠ"
    <Multi_key> <h> <6> : "ʰ"
    <Multi_key> <j> <6> : "ʲ"
    <Multi_key> <n> <6> : "ⁿ"
    <Multi_key> <q> <6> : "ˤ"
    <Multi_key> <r> <6> : "˞"
    <Multi_key> <o> <6> : "̥"
    <Multi_key> <s> <6> : "̯"
    <Multi_key> <t> <6> : "̃"
    <Multi_key> <v> <6> : "̆"
    <Multi_key> <w> <6> : "ʷ"
    <Multi_key> <1> <6> : "˩"
    <Multi_key> <2> <6> : "˨"
    <Multi_key> <3> <6> : "˧"
    <Multi_key> <4> <6> : "˦"
    <Multi_key> <5> <6> : "˥"
    
    # Linguistics misc
    <Multi_key> <a> <7> : "ʕ"
    <Multi_key> <e> <7> : "€"
    <Multi_key> <w> <7> : "ʍ"
    <Multi_key> <n> <7> : "ɴ"
    <Multi_key> <l> <7> : "ɫ"
    <Multi_key> <h> <7> : "ɦ"
    <Multi_key> <g> <7> : "ɢ"
    <Multi_key> <j> <7> : "ʝ"
    <Multi_key> <q> <7> : "ʁ"
    <Multi_key> <r> <7> : "ʀ"
    <Multi_key> <v> <7> : "ʌ"
    

    A few tips I can give people who want to use .XCompose:

    • If you often need a character, keep the keystrokes sequence associated with it short.
    • Try to be consistent-ish and organised, it’ll help you to remember the sequences.
    • Even then, perfect is enemy of good. Don’t go too hard; note for example I didn’t add letters like ⟨æ⟩, ⟨ŋ⟩ or ⟨ð⟩ to the file, all of those are easier to type with AltGr.
    • Don’t feel afraid to rework sequences that you find awkward; eventually your muscle memory will catch up.

    I fulfilled the first two by using sequences ending in numbers, but note that isn’t the only way to do things. As long as it makes sense for you, it should be fine.


  • That’s as weird, inaccurate, silly and misleading as saying “ALON is oxygen”. Or that table salt is a chemical weapon (bertholite). We (people in general) shouldn’t be saying a compound “is” one of its constituent elements.

    BTW I’m old enough that I watched that movie

    Just like I didn’t pick the media reference up, I expect at least some other people to not to, either. People will however gather stuff from the context: OP talking about a metallic alloy, sorghum’s “it” gets interpreted as “now make that metallic alloy transparent”, and then yours as talking about alloys, at most a metal.

    I know I’m being an arse hat with this. I’m doing it because it’s a big deal: if you say “ALON is transparent aluminium”, people expect at least some properties to be similar to a soft metal good at conducting electricity. Except now transparent, because Chemistry is wizardry /s.

    The title in the OP is also slightly misleading, but that’s journalism. We should do better.




  • I’m still reading the machine generated transcript of the video. But to keep it short:

    The author was messing with ISBNs (international standard book numbers), and noticed invalid ones fell into three categories.

    • Typos and similar.
    • Publishers assigning an invalid ISBN to the book, because they didn’t get how ISBNs work.
    • References "hallucinated"¹ by ChatGPT, that do not match any actual ISBN.

    He then uses this to highlight that Wikipedia is already infested by bullshit from large “language” models², and this creates a bunch of vicious cycles that go against the spirit of Wikipedia of reliability, factuality, etc.

    Then, if I got this right, he lays out four hypotheses (“theories”) on why people do this³:

    • People who ignore the limitations of those models
    • People seeking external help to contribute with Wikipedia
    • People using chatbots to circumvent frustrating parts of doing something
    • People with an agenda.

    Notes (all from my/Lvxferre’s part; none of those is said by the author himself)

    1. “Hallucination”: misleading label used to refer to output that has been generated the exact same way as the rest of the output, but when interpreted by humans it leads to bullshit.
    2. I have a rant about calling those models “language” models, but to keep it short: I think “large token models” would be more accurate.
    3. In my opinion, the author is going the wrong way here. Disregard intentions, focus on effect — don’t assume good faith, don’t assume any faith at all. Instead focus on the user behaviour; if they violate Wikipedia policies once warn them, if they keep doing it remove them as dead weight fighting against the spirit of the project.