• Lung@lemmy.world
    link
    fedilink
    English
    arrow-up
    3
    arrow-down
    2
    ·
    5 months ago

    You can collect the data and figure out how to use it later. Just look at the Google leaks lately and what they collect, it’s literally everything down to the length of clicks and full walks through the site

    Collecting data about user interests is in itself valuable, and it’s plausible to use various metrics to analyze it, something as simple as sentiment analysis, which has been broadly done. Sentiment analysis has predated modern ML by a long margin, but you can read the wiki page on that

    But yeah just think about stuff like Google trends, tracking interest in topics, as an example of what such data could be used for. And deanonymizing the inputs is probably possible to some degree, aside from the obvious trust we place in DDG as a centralized failure point

    • just_another_person@lemmy.world
      link
      fedilink
      English
      arrow-up
      2
      arrow-down
      1
      ·
      5 months ago

      You’re confusing analytics with direct input storage and reuse of prompt data to train somehow, as in your original comment.

      Analytics has absolutely nothing to do with their model usage and training, and would pointless. Observing keywords and interests is standard analysis stuff. I don’t even think anyone even cares about it anymore.