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Joined 1 year ago
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Cake day: July 21st, 2023

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  • If it were up to me, I’d regulate these into high hell.

    1. Mandatory camera covers
    2. Mandatory really obvious recording lights, recording sounds
    3. Auto-removing anyone from the camera feed that hasn’t explicitly agreed to appear on your camera. And replacing them with a black box.
    4. Geofencing to disable the camera near any place that hasn’t explicitly opted-in, as well as removing the place from a recording at any distance.

    All as tamper proof hardware features. And make it a felony to modify them to remove these safeguards.

    Too hard to implement? Good


  • I would love it, if AI was only used for useful things, like translation, spelling correction, sorting my photos, Plant/Object ID, actual useful SST, doing Google’s old job of actually finding the information I want in the sea of SEO garbage or badly written product descriptions.

    But no, I already know it’ll primarily be used to spy on you better while draining your battery. At least with all the past spying you knew the data processing isn’t THAT advanced. But with AI it’ll be like having a literal spy following you around at all times.

    And from the state of existing models that are small enough to run on a phone, it’ll still be years until they are actually reliable enough to be useful.


  • Maybe if they make a watch with a camera cover and a laser that draws a little box around what it can see and it all runs locally, then I might be interested.

    Mainly to identify plants and mushrooms.

    Not a fan of the idea of everyone pointing AI powered cameras at me all the time, like with this weird pin or smart glasses.

    Such products should have a legally mandated camera cover, microphone shutoff and a REALLY OBVIOUS tell to everyone around you if you are using the camera or mic.

    Bonus points if it screams a really loud “PERVERT” alarm if you’re doing something creepy.

    If only that was true for smartphones too…


  • It is kind of interesting how open machine learning already is without much explicit advocacy for it.

    It’s the only field I can think of where the open version is just a few months behind SOTA in all of IT.

    Open training pipelines and open data are the only aspects that could still use improvements in ML, but there are plenty of projects that are near-SOTA and fully open.

    ML is extremely open compared to consumer mobile or desktop apps that are always ~10 years behind SOTA







  • I think you are looking at work horse distros, like Ubuntu, Fedora, etc… That by now are heavily used for productive work, not personal use. So they favor stability and minor quality of life improvements over shiny new updates.

    There’s plenty shiny new cutting edge distros out there that are innovating, e.g. Nix, Silverblue, VanillaOS, all the container focused ones CoreOS, Container OS, Flatcar Container Linux and probably dozens more newer ones I am not aware of .