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Joined 1 year ago
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Cake day: June 14th, 2023

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  • i believe the general attitude on the threadiverse is that down votes are not a great option: they should represent low quality or untruth rather than simply dislike. given this preference, and downvote to hide might overload the downvote function: no longer is it a last resort, but it’s a normal part of browsing your feed. i’ve seen nothing but staunch opposition to overusing h the down vote feature in this manner


  • kinda the same reason people suggest something like linux mint over slackware, gentoo, arch, etc… mint is easy to install and is preconfigured to be an easy to use user desktop environment. you can configure any other option to be have like that, but they tend to be a bit more “DIY”, which is great if you know what you’re doing!

    dedicated NAS OSes will have good software out of the box that make it easy to configure and manage various common disk-related configurations (RAID, SMB, NFS, etc). you can certainly do all this yourself, but it might not have a pretty, unified user interface, or you might have to deal with software that isn’t compatible with some version of a library that’s in your distro of choice… all resolvable things, but they take time to solve: anywhere from installing a package manually to applying a kernel patch and recompiling the kernel to get something to work





  • a healthy democracy requires others to have privacy. people like investigative journalists need to be able to blend in with the crowd and expose government wrongdoing

    blending in the the crowd is the important part: if everyone cares about privacy, nobody sticks out for caring about privacy… but if nobody cares about privacy, the investigative journalist suddenly looks really obvious and can be targeted much more easily

    if someone doesn’t think they have anything to hide, that’s fine (wrong, but fine) however they can help to make sure the government acts appropriately simply by not splashing data around everywhere for all to see






  • i don’t agree with that definition of creative… there’s lots of engineering work that’s creative: writing code and designing systems can be a very creative process, but doesn’t involve feeling… it’s problem solving, and thats a creative process. you’re narrowly defining creativity as artistic expression of emotion, however there’s lots of ways to be creative

    now, i think thats a bit of a strawman (so i’ll elaborate on the broader point), but i think its important to define terms

    i agree we should be skeptical of marketing hype for sure: the type of creativity that i believe ML is currently capable of is directionless. it doesn’t understand what it’s creating… but the truth lies somewhere in the middle

    ML is definitively creating something new that didn’t exist before (in fact i’d say that its trouble with hallucinations of language are a good example of that: it certainly didn’t copy those characters/words from anywhere!)… this fits the easiest definition of creative: marked by the ability or power to create

    the far more difficult definition is: having the quality of something created rather than imitated

    the key here being “rather than imitated” which is a really hard thing to prove, even for humans! which is why our copyright laws basically say that if you have evidence that you created something first, you pretty much win: we don’t really try to decide whether something was created or imitated

    with things like transformative works or things that are similar, it’s a bit more of a grey area… but the argument isn’t about whether something is an imitation; rather it’s argued about how different the work is from the original


  • that’s a lack of understanding of concepts though, rather than a lack of creativity… curation requires that you understand the concept that you’re trying to curate: this looks more like a dog than this; this is a more attractive sunset than this

    current LLMs and ML don’t understand concepts, which is their main issue

    id argue that it kind of does “think about its own thoughts” to some degree: modern ML is layered, and each layer of the net feeds into the next… one layer of the net “thinks about” the “thoughts” of the previous layer. now, it doesn’t do this as a whole but neither do we: memories and neural connections are lossy; heck even creating a creative work isn’t going to turn out exactly like you thought it in your head (your muscle memory and skill level will effect the translation from brain to paper/canvas/screen)

    but even we hallucinate in the same way. don’t look at a bike, and then try and draw a bike… you’ll get general things like pedals, wheels, seat, handlebars, but it’ll be all connected wrong. this is a common example people use to show how our brains aren’t as precise and we might like to think… drawing a bike requires a lot of very specific things to be in very specific places and that’s not how our brain remembers the concept of “bike”








  • i’ve seen the bullet points from that article riffed in different ways, but i think that’s the most important part:

    • They know you rang a phone sex line at 2:24 am and spoke for 18 minutes. But they don’t know what you talked about.
    • They know you called the suicide prevention hotline from the Golden Gate Bridge. But the topic of the call remains a secret.
    • They know you got an email from an HIV testing service, then called your doctor, then visited an HIV support group website in the same hour. But they don’t know what was in the email or what you talked about on the phone.
    • They know you received an email from a digital rights activist group with the subject line “Let’s Tell Congress: Stop SESTA/FOSTA” and then called your elected representative immediately after. But the content of those communications remains safe from government intrusion.
    • They know you called a gynecologist, spoke for a half hour, and then called the local abortion clinic’s number later that day.