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2 yr. ago

  • GPS does not track anything. There is no possible way it can.

    GPS satellites transmit time coded signals. That’s all they do. They don’t receive any signals from the devices that use them.

    GPS receivers (which include everything from car navigation systems to smartphones to dedicated GPS receivers, etc) only listen for those time coded signals, decode them, and use that information to triangulate your location. That’s all that GPS itself can do.

    Smartphones, tablets, etc. can determine their location by GPS if they have GPS receivers built into them. They can then take that location data and forward it on to companies like Google, Apple, etc. But that is done over either a cellular or WiFi connection.

    Any claim of GPS based counting of crowd sizes should be taken with a huge grain of salt. The only way counts based on mobile phones could really be done is by asking companies like Google or Apple how many of their devices are being tracked in the area, or by asking mobile providers like Verizon or AT&T how many mobile phones are connecting to their cell towers in the area.

    The total number of people/ devices identified by GPS in a given area is exactly 0. Because GPS by itself is simply incapable of doing anything like that on it’s own.

  • GPS itself isn’t the issue. Devices like smartphones are GPS receivers only, meaning they can only receive GPS signals. It’s what those devices do with GPS that’s the actual problem.

    The thing is, smartphones can be tracked by multiple methods. You can locate them via cell tower triangulation. And to a lesser extent even WiFi tracking, Bluetooth tracking, etc. So if you really don’t want to be tracked then turn your devices completely off. Or better yet leave them home.

  • One thing I haven’t seen yet is that it will basically end accreditation of colleges & universities.

    Today if you get an MBA, PHD, etc. pretty much everybody knows what that means whether you got that degree from Harvard University, Penn State, or the University of Alabama. The standards for such degrees are pretty well known.

    While the Department of Education doesn’t directly perform accreditation it does manage the standards that third parties use for the process. Get rid of the standards and those accreditation bodies will eventually start doing their own thing. So eventually one body might only offer accreditation to schools that promote certain religious values and ignore other educational standards, while another only offers accreditation to schools that pay kickbacks, etc.

    If those sorts of things start to happen then accreditation will become largely meaningless, and college/university degrees won’t mean as much as they currently do.

  • We’re only the richest country in the world because we have roughly a football-stadium sized number of billionaires and multi-millionaires. The remaining 300+ million of us have largely been brainwashed to believe we need to sacrifice everything to prop them up.

  • Permanently Deleted

    Jump
  • We have a handful of Python tools that we require to adhere to PEP8 formatting, and have Jenkins pipeline jobs to validate it and block merge requests if any of the code isn’t properly formatted. I haven’t personally tried it yet, but I wonder if these AI’s might be good for fixing up this sort of formatting lint.

  • Not sure if they have this specific GPU or not, but I know AWS has on-demand instances with GPUs (and other cloud providers like Google likely do as well). It’s probably just a matter of time before somebody deploys self-service images so a business that got hit by this ransomware could quickly recover on their own.

  • I believe he claimed that since humans use their vision to drive that computer vision was more than enough.

    I don’t know about you, but I also rely on sounds & feel when I drive. I also know that the human eye has evolved to detect motion, filter out extraneous information, and send just the important bits to the brain so that it doesn’t get overloaded with everything the eye sees. Computer vision is the exact opposite from that, having to process every bit of every image the camera sees.