post text

Picture this:

  1. You type on Google “laptop won’t turn on”
  2. Google now knows you have a broken laptop and can estimate how desperate you are to fix it.
  3. Because it knows how desperate you are, it can increase shop prices proportionally.

You are going to pay the maximum they get you to pay.

That’s algorithmic pricing.

The more companies know about you, the more they can predict and sell how desperate you are to other stores out there.

An internet-connected car knows much more about you than you realize. A smart TV also knows what you like. Your Alexa knows if there is a problem in the home.

Privacy is much more than just sensitive data.

It’s about not giving leverage away.

Because algorithms will use it against you.

Be safe out there.

Nostr.

    • M500@lemmy.ml
      English
      14·
      2 months ago

      This is a pretty great point. I never looked at privacy through this window.

      Looks like I’m going to migrate in been considering proton for some time now anyway.

      • solsangraal@lemmy.zipEnglish
        101·
        2 months ago

        keep in mind nothing is immune to enshittification. assume that everything you do online, even with proton or other “privacy first” companies, exists online. forever. and even if a company stays true to their “privacy first” policy, inevitably, they’ll be breached, and it’ll all be out in the world anyway

        • Infynis@midwest.socialEnglish
          8·
          2 months ago

          Proton, at least, is now bound by law to act in the best interest of its customers, due to being a Swiss non-profit.

        • pemptago@lemmy.mlEnglish
          4·
          2 months ago

          All the metadata perhaps (still very valuable), but client-side, zero-access encryption means it’s encrypted before it hits the servers. So while a data leak might, for example, show who, when, and how much you’re emailing, it wouldn’t show the content of the email as gmail would.

          Moving in the direction of better and voting with your dollars is an important step away from already enshittified structures, which I’d argue, are inherent to certain models and not others. EG: a self hosted, open source software developed by a non-profit could sell and incorporate and enshittify, but the possibility of forking is an effective disincentive that could easily eat projected gains.