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Joined 1 year ago
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Cake day: November 8th, 2023

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  • LWD@lemm.eetoPrivacy@lemmy.mlThoughts?
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    8 months ago

    It’s much easier to pick out their lingo than to speak in it. That’s why people like Frederick Brennan are so interesting. If you have the chance to read something biographical about him, I would jump at that chance.


  • LWD@lemm.eetoPrivacy@lemmy.mlbackup options in mull
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    8 months ago

    The easiest way to do this, to my knowledge, is to get your bookmarks onto Firefox for Desktop.

    Basically,

    1. Create a Firefox account on your desktop. Use an email generated with a masking service, or maybe even a throwaway one.
    2. Login with both your desktop, and when that’s done, your mobile device
    3. Sync the bookmarks
    4. Destroy the Firefox account, if you want. If you used a true throwaway email, don’t skip this.

  • Wait, can you actually do this in Mull (the Android browser)? I’m familiar with this method on desktops, but there are precious few browsers on Android that allow you to export bookmarks. To the best of my knowledge, Firefox, Fennec, Mull etc do not allow this.

    In fact, the list of browsers that does allow it seems limited to Chromite and DuckDuckGo, both Chromium forks.




  • This marks a cultural shift. In 2018, DuckDuckGo wrote about the Filter Bubble, explaining how Google hides relevant results based on personalized, biased preconceptions about you.

    Even though people searched at the same time, people were shown different sources, even after accounting for location.

    Google hit back, implicitly admitting filter bubbles would be bad, but claiming they weren’t guilty of it.

    From Google, which manages to entirely ignore the critiques:

    Why might two different people searching for the same thing see results that are different? That’s often due to non-personalized reasons: location, language settings, platform & the dynamic nature of search.

    But now, search personalization is no longer a taboo. Google is attacking DuckDuckGo for not doing it. And other corporations, like Kagi, dream of a day when data acquisition can be done so readily that the filter bubble will only ever tell you what you already believe:

    [W]hen you ask your own AI a question like “does God exist?” it will answer it relying on biases you preconfigured… [W]hen you ask it to recommend a good coffee maker - it will know the brands you like, your likely budget and the kind of coffee you usually drink. All this information will be volunteered to the AI by you - similar to how you would volunteer your information to a human assistant - but this time to a much larger extent. And you will also do it without fear



  • That sounds like it places an undue burden onto the user to determine and explain why data might be personal. Is a particular writing style personal? Something that identifies their IP address, or time zone, or three separate messages that can be used to pinpoint someone’s identity or narrow it down significantly?

    To build on the Matrix example I mentioned, they give you the ability to “redact” messages but it’s your job to hunt them down across their entire platform, and obviously you can’t look at any messages in any rooms you’ve been kicked out of (and I’m pretty sure an API call to redact them, even if you correctly guessed the ID, would be rejected).







  • LWD@lemm.eetoPrivacy@lemmy.mlThoughts?
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    9 months ago

    In general, you shouldn’t trust something that presents a wild assertion and a vague thing you can Google search for more information. It comes with an implied “do your own research” which comes with its own implied “…intil your research agrees with what I believe”


  • Makes me wonder how that technology is going to track. Reddit isn’t bad for finding niche answers to niche questions, but if you import the data wholesale then you’ll have a hard time separating the signal from the noise, even if you sort by using vote counts as relevance.

    Reddit is valuable because people can do a search for a niche topic and find the answer on that forum. And the answer was written by a human. It’s not valuable because it can amalgamate an approximation of those answers that might be 90% true and 10% dead wrong.


  • LLM’s are a parasitic entity. They can only operate as long as they have a living host (us) on which to draw data. Without their host, they rapidly start hallucinating. Hell, the other day ChatGPT (and every business that relied on it) started hallucinating for no apparent reason.

    The thing about the parasite is, though, that it endangers its host. At some point, the fact that anything you say can be plugged into a machine with no credit given back to you, will encourage creative people to stop bothering being creative, depriving them of income or even exposure.

    It’s a funny thing, a few years ago I would say that the “anything you post here can be sold by us” clause on social media was very unlikely to get exploited, as nobody knew how to sell data en masse to make money off of it. I guess now we know that’s not true at all. If something bad can happen with your data… It will.