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Joined 1 year ago
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Cake day: June 11th, 2023

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  • Read some existentialism, no joke. I don’t agree 100% but I read a bunch of Beuvoir over the weekend and one thing I did like was it made me internalize the idea that coming up with a project I care about and achieving it is worthwhile in and of itself regardless of if it “could” be done by someone/something else.

    Think about it this way, there are mathematicians from 500 years ago who did a lot of stuff by hand for hours that I could work out with a calculator in seconds today. But does that mean all their work was worthless? If I create a fairly shitty drawing, but I’m proud of my having created it, am I wrong to be proud simply because my friend who is a great artist could make a better one in half the time?

    It’s not just about the journey, but it’s not just about the destination either–its about the journey to the destination, and placing value only in one of those things will cause you to be at a loss for the rest of your life.






  • That’s a weird argument. Most technological advancements are directly beneficial to the work of only a minority of people.

    Nobody declares that it’s worthless to research and develop better CAD tools because engineers and product designers are a “vocal minority.” Software development and marketing are two fields where LMMs have already seen massive worth, and even if they’re a vocal minority, they’re not a negligible one.


  • “big data” runs the content recommendation algorithms of all the sites people use which in tirn have a massive influence on the world. It’s crazy to think “big data” was just a buzzword when it’s a tangible thing that affects you day-to-day.

    LLM powered tools are a heavy part of my daily workflow at this point, and have objectively increased my productive output.

    This is like the exactly opposite of Bitcoin / NFTs. Crypto was something that made a lot of money but was useless. AI is something that is insanely useful but seems not to be making a lot of money. I do not understand what parallels people are finding between them.


  • To be fair, Spotify’s recommendation system is the only algorithmic content feed that I feel actually gets me the kind of stuff I want rather than just exploiting my psyche, so I wouldn’t be surprised if Spotify’s AI integration is likewise the only of it’s kind that has real benefit.

    It could also be completely useless, who knows 🤷




  • Just decent quality content for various topics which aren’t politics or tech. For the good of increasing the size of Lemmy, I think everyone ought to find a couple things they’re interested in as hobbies and just dare to make content about them.

    Lots of niche communities have the problem where no one posts because no one posts. At some point, you have to just pull the ripcord and start the darn thing, even if it takes a while.





  • Well…

    1. Target once used small amounts of shopping data to accurately predict women were pregnant before they themselves knew.

    2. A Nebraska PD got data from Facebook to prove a woman had an abortion recently and prosecuted her.

    3. you don’t know what will become illegal

    So, even small amounts of data can predict lots of things about your life. The government has a track record of using that data to prosecute you. And you cannot trust the Government will always align with your morals (assuming it even does right now).

    And that doesn’t even consider other entities & organizations in the world.

    What if an insurance company wants uses public data about you to deny you coverage? What if someone is searching for people in the area with ideal houses to rob and you’re on vacation? What if they use a deepfake of a loved one to scam you? Steal your identity and ruin your credit? What if they make and sell deepfake porn made of you or a loved one? What if they create meticulously engineered political psyop campaigns hand-tailored to exploit your psychology? What if this list of “what ifs” could go on nearly forever, and some “what ifs” aren’t even things we’re capable of knowing about?

    Because that last one is absolutely true, all the rest of those are true for someone, and at least one of them is probably true for you already.

    Ok, but what if you don’t care?..well someone else in your life does. And even if they have impeccable data privacy habits, if enough of their friends and family don’t, then they’re just a single missing puzzle piece, and everyone can still see their shape.

    Not to mention, you contribute to a pool of data that’s used to perform these kinds of analyses on society at large, meaning you contribute in some part to each and every instance of malicious data use towards anyone, anywhere.

    Is that a good enough reason to care?



  • (note: this ended up being long, but I promise it’s worth it to read)

    Learning to use Linux is as easy (if not easier) than when you learned to use Windows, and you probably did that when you were younger, even less experienced with technology, and didn’t have the benefit of comprehensive online help resources.

    To start, the main thing to know is that unlike Windows or MacOS, the Operating System “kernel” (the bit that actually handles the core tasks of an OS which allows software to run on your hardware which you don’t ever need to understand) does not have many of the usability features you associate with Windows or MacOS such as the Desktop Environment, default programs, apps store, etc.

    Instead, Linux comes in different **“distributions” (“distros”)**which facilitate all these things. So it’s more accurate to think of a Linux distro as analogous to “Windows” or “MacOS” rather than just Linux.

    The awesome thing about this is that while they’re all similar enough that almost anything you learn will be applicable to all of them, the variety of options means you can find one that works well for you. So when it comes time to try Linux, here’s what to do

    1. Pick a Linux distro that is super non-tech user friendly. If you want to have it chosen for you, just “Linux Mint” (but also look into “Pop OS.” Both are very user friendly)
    2. Search for “How to install <name-of-linux-distro>” on the Internet
    3. Follow the most official guide you find
    4. Done.

    Then, once it’s installed, any time you want to learn how to do a thing on it that isn’t intuitive to you, try the following in order until you get useful results:

    1. Search for “how to do <thing-to-do> on Linux”
    2. Search for “how to do <thing-to-do> on <your-linux-distro>”
    3. Make a post on a distro-specific subreddit, Lemmy community, discord server, etc asking how to do the thing

    Realistically, #1 & #2 should solve all your problems unless you’re doing complicated stuff, but #3 will almost always solve the rest.

    Also, welcome to the club! You won’t wanna go back, trust me :)