Alt. Profile @Th4tGuyII

  • 0 Posts
  • 15 Comments
Joined 2 years ago
cake
Cake day: June 11th, 2024

help-circle

  • Its terrible how inconvenient shops have made it nowadays to leave if you haven’t bought anything.

    Some shops you’ve got to walk the entire loop around, some shops you’ve got to awkwardly squeeze through the till queues, and some you have get staff to let you out.

    Its frankly ridiculous. I’m thankful for shops that don’t block off their exit. Requires more trust in shoppers, but that trust is appreciated and keeps me wanting to come back in the future.



  • Ah yes, experience a <15 second loading buffer…

    Or watch potentially multiple entire minute long, unskippable adverts.

    Honestly part of me has considered paying for YouTube premium - but aside from not having to fight off ADs, I don’t care about the other perks, and am more than happy to just give to the creators directly without Google getting a cut.


  • Th4tGuyII@fedia.iotomemes@lemmy.worldGood luck out there.
    link
    fedilink
    arrow-up
    3
    arrow-down
    1
    ·
    3 months ago

    New being unfamiliar. LLMs can’t just abstractly create things they don’t have training data for the same way a human can. They’re parrots that rely on training data to “create” anything, and that’s why I said they’re good at creating copies and mash-ups.

    A good example is DALI being famously unable to depict an empty glass of wine because its training data didn’t have one. OpenAI had to feed it training data of empty wine glasses to undo that.

    That need for base data to make literally anything is the whole reason why AI companies have been scraping the ever living shit out of the internet, to give as much training data to mash-up as is possible. The more data it has, the more convincingly unique its output can be.

    Iterate was a poor word to use, but you’ll have to chalk that up to me being a fallible human. What I mean is that it can’t extrapolate from training data to make something unique. Everything it makes you will always be cobbled together from the data it has, because LLMs only know what things look like, not what they are as concepts.

    Hell you want to see AI not understanding what good code actually is - look at MicroSlop’s Windows 11, where damn near every update has a crippling bug in it that could’ve been avoided


  • Th4tGuyII@fedia.iotomemes@lemmy.worldGood luck out there.
    link
    fedilink
    arrow-up
    3
    arrow-down
    1
    ·
    3 months ago

    Anyone who says the first is lying to you. LLMs are actually incredibly useful tool in the tasks they were initially designed for like machine translation, natural sounding text-to-speech and accurate speech-to-text.

    In trying to generate hype (or more rather revenue), the companies responsible for these models have been throwing LLMs into all sorts of functions they just weren’t designed for - often to haphazard results.

    It’s like asking a really well-trained parrot to fact-check for you, code for you, write stories to you. It knows what these things look like, so can make really convincing copies and mash-ups that look right on first read - but it can’t iterate and make new things because it doesn’t actually know what training data it has is fact/fiction, it doesn’t know what code actually does, and it has no idea what a cohesive story is.

    The problem is that executives and shareholders are only aware of what’s being hyped up about LLMs, and not of the technical limitations underneath that make them rather unreliable compared to specialised neural networks or just plain trained professionals.

    So it is simultaneously robbing people of their jobs because of hype, while doing an absolutely terrible job of it because it is fundamentally limited in what it can replace.


  • Th4tGuyII@fedia.iotomemes@lemmy.worldW Celsius
    link
    fedilink
    arrow-up
    5
    arrow-down
    3
    ·
    4 months ago

    Exactly, its just cope. Someone who grew up entirely on metric temperature will have exactly the same intuition. For example myself:

    <0 = freezing 0-10 = Cold 11-17 = Warming up 18-24 = Comfortably warm 25-29 = Tropical 30-40 = Uncomfortably hot >40 = Dangerously hot

    Besides which, all of this goes out the window once wind chill and other external effects that absolute temperature cannot account for come into play.

    It’s the usual American exceptionalism that causes them to throw a tantrum every time they’re asked to conform to a worldwide standard. There’s a reason most of the world uses metric measurements for most things in every day life, and its because it just works once you get used to it.


  • Th4tGuyII@fedia.iotomemes@lemmy.worldW Celsius
    link
    fedilink
    arrow-up
    4
    ·
    4 months ago

    Yeah, of course that is the case now that most definitions have been updated to be tied to physical constants rather than observations that rely on specific conditions…

    But the same wiki article you linked literally says otherwise. The Kelvin’s magnitude was based on the magnitude of Celcius because of Charle’s Law.

    I.e. the volumes of gases under the ideal gas law scaled linearly with degrees celcius by about 1/273rd between 0-100C - which led to the prediction that the lowest possible temperature a gas could be was -273C (because that would be the point where it theoretically would have absolutely zero volume).

    Which is a long-winded way of saying stop being a smartass. The guy you replied to was just as technically correct as you were, given they said 1k stemmed from 1C.


  • Personally, I think you’re half-right in that (with a sample size of our solar system) the Earth is the only one with an actually diverse range of biomes - really only possible because the availability of water in multiple forms…

    But the Earth-like planets in NMS should rightfully have the same biome diversity if they were being scientifically accurate…

    Though we all know the real reason for the lack of diversity is to force movement between planets. If every resource was on one planet, there’s be no reason for the player to explore.



  • I agree on CLI text editors. I get why they exist, but for most users they should be a last resort, not the primary instruction.

    Instead of telling people to use Nano, just tell people to edit the .conf in a text editor and let them choose!

    Many users won’t understand that what they’re being told to do with Nano is literally just edit a text document with a funky file extension, and that they don’t actually have to that it in CLI (in-fact it might even be easier not to if you’re not familiar with them).



  • Th4tGuyII@fedia.iotomemes@lemmy.worldThe long game
    link
    fedilink
    arrow-up
    85
    arrow-down
    1
    ·
    9 months ago

    Valve could’ve legitimately done nothing and still be winning in comparison to the big three, but instead they’ve slowly and steadily been helping the gaming community to give Windows the middle finger by making huge contributions to Linux gaming.

    Honestly, its downright shameful how many companies have forgotten that a good way to make money from customers is simply to treat them nicely while they’re buying your goods.


  • It’s such a garbage argument when you can just counter with “okay then, release software which allows the public to run them for themselves”.

    There are plenty of famous games, including Minecraft (only the most famous game in history) that manage to do that just fine. Acting like it’s impossible just so that you can force people to buy the next game is bullshit.