Skip to content

‘If I switch it off, my girlfriend might think I’m cheating’: inside the rise of couples location sharing

Technology
415 217 156
  • 27 Stimmen
    1 Beiträge
    12 Aufrufe
    Niemand hat geantwortet
  • 738 Stimmen
    67 Beiträge
    398 Aufrufe
    K
    That has always been the two big problems with AI. Biases in the training, intentional or not, will always bias the output. And AI is incapable of saying "I do not have suffient training on this subject or reliable sources for it to give you a confident answer". It will always give you its best guess, even if it is completely hallucinating much of the data. The only way to identify the hallucinations if it isn't just saying absurd stuff on the face of it, it to do independent research to verify it, at which point you may as well have just researched it yourself in the first place. AI is a tool, and it can be a very powerful tool with the right training and use cases. For example, I use it at a software engineer to help me parse error codes when googling working or to give me code examples for modules I've never used. There is no small number of times it has been completely wrong, but in my particular use case, that is pretty easy to confirm very quickly. The code either works as expected or it doesn't, and code is always tested before releasing it anyway. In research, it is great at helping you find a relevant source for your research across the internet or in a specific database. It is usually very good at summarizing a source for you to get a quick idea about it before diving into dozens of pages. It CAN be good at helping you write your own papers in a LIMITED capacity, such as cleaning up your writing in your writing to make it clearer, correctly formatting your bibliography (with actual sources you provide or at least verify), etc. But you have to remember that it doesn't "know" anything at all. It isn't sentient, intelligent, thoughtful, or any other personification placed on AI. None of the information it gives you is trustworthy without verification. It can and will fabricate entire studies that do not exist even while attributed to real researcher. It can mix in unreliable information with reliable information becuase there is no difference to it. Put simply, it is not a reliable source of information... ever. Make sure you understand that.
  • 334 Stimmen
    45 Beiträge
    278 Aufrufe
    A
    I am glad it hasn’t been hard for you. Pretty much everybody I know has moved to other states because of how bad the jobs are here. I would if I could afford it.
  • 88 Stimmen
    3 Beiträge
    26 Aufrufe
    gnulinuxdude@lemmy.mlG
    I have never used a food delivery service because they all feel so fucking scummy and exploitative. Seems like they are in equal need as we are for regulatory overhaul of this business practice.
  • Covert Web-to-App Tracking via Localhost on Android

    Technology technology
    2
    43 Stimmen
    2 Beiträge
    23 Aufrufe
    M
    Thanks for sharing this, it is an interesting read (though an additional comment about what this about would have been helpful). I want to say I am glad I do not use either of these services but Yandex implementation seems so bad that it does not matter, as any app could receive their data
  • Looking elsewhere

    Technology technology
    3
    1
    7 Stimmen
    3 Beiträge
    23 Aufrufe
    J
    That's a valid point! I've been searching for places to hangout for a while, sometimes called "campfires". Found a cool Discord with generous front-end folks (that's a broad spectrum!), on frontend.horse.
  • Cloudflare built an oauth provider with Claude

    Technology technology
    23
    1
    34 Stimmen
    23 Beiträge
    130 Aufrufe
    A
    I have to say that you just have to sayed something up
  • @chrlschn - Beware the Complexity Merchants

    Technology technology
    6
    1
    57 Stimmen
    6 Beiträge
    39 Aufrufe
    S
    I'm a big fan of the manta "Make your designs as simple as possible and no simpler". Pointless complexity drives me nuts, but others take it too far and remove functionality by making things too minimal. It doesn't help that a lot of businesses optimize for people who make changes, so the positive feedback loop is change for the sake of change rather than improving the product.