• 0 Posts
  • 4 Comments
Joined 3 years ago
cake
Cake day: July 20th, 2023

help-circle
  • I’m guilty of using LLMs from time to time, and more guilty of finding it gradually replacing what I used to Google search.

    If it’s something that Wikipedia can help me with, that’s still my first port of call, but gradually, for anything problem solving related, I just ask an LLM.

    Even a year or two ago, I was googling things with reliable websites for advice at the end, like reddit, but clearly that has decayed as a reputable source for support.

    Googling things that require more than just knowledge is difficult now, and asking the sometimes wrong machine is consistently more useful.


  • I’m guilty of using LLMs from time to time, and more guilty of finding it gradually replacing what I used to Google search.

    If it’s something that Wikipedia can help me with, that’s still my first port of call, but gradually, for anything problem solving related, I just ask an LLM.

    Even a year or two ago, I was googling things with reliable websites for advice at the end, like reddit, but clearly that has decayed as a reputable source for support.

    Googling things that require more than just knowledge is difficult now, and asking the sometimes wrong machine is consistently more useful.


  • Khrux@ttrpg.networktoTechnology@lemmy.worldFacebook is absolutely cooked
    link
    fedilink
    English
    arrow-up
    19
    arrow-down
    1
    ·
    1 month ago

    When I was still using Instagram reels, I was always amazed how quickly the algorithm figured me out. If I hesitated for even a second on a reel, it would amend my next ones immediately. I assume the real trick is comparing it to the average time spent on a reel, everyone spends longer on a wall of text reel, but when I stop on a Linux reel for an extra second, I’m immediately in the 1% for engagement.

    I read something years ago about how your phone keyboard tracks your recommended words, it knows if you’re more likely to type apple or Apple, or if you type soup more than average, and any app that gets that data and compares it to the baseline has an instant, in depth profile on you.