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BREAKING: C++ wins #FIFA Prize for Safety

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Gli ultimi otto messaggi ricevuti dalla Federazione
  • @frank I share your disdain for Jira (I suspect just because it can be abused by process Nazis to be hell on earth to use...it could maybe be usable by normal people who have jobs to do, but I haven't seen it used that way). But, I think maybe Monday is even worse. It's ridiculously heavy and full of distractions. It's purpose built for process Nazis, and has no room for people who want to get work done. It's designed to maximize busy work.

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  • Miami elected a Democratic mayor. Miami is a weird as hell political place, so I don't want to read too much into it. But, there have been 28 years of Republican mayors, and the Republican candidate got the off-year election he wanted and sued to get, and still lost. https://www.politico.com/news/2025/12/09/miami-elects-first-woman-mayor-ends-gops-28-year-control-of-city-hall-00683878

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  • Ok time for some venting! What is the worst tech tool or process you ever used?

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  • Current* conditions near Toronto, ON:

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  • It is as gross to own a pretend human slave as it is to fuck a pretend sheep. Don't let your friends and family buy a Neo.

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  • Il cuore batte spesso in solitaria.
    Ma va bene così, fa parte di quello strano, assurdo gioco che è la vita. Una maestra severa.

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  • Ben Werdmuller wrote a new perspective on RSS. It's great, just what we need. RSS is of the web, and is the simplest most obvious way to get all the twitter-like systems connected.

    https://werd.io/why-rss-matters/

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  • Making Glasses That Detect Smartglasses

    [NullPxl]’s Ban-Rays concept is a wearable that detects when one is in the presence of camera-bearing smartglasses, such as Meta’s line of Ray-Bans. A project in progress, it’s currently focused on how to reliably perform detection without resorting to using a camera itself. Right now, it plays a well-known audio cue whenever it gets a hit.
    Once software is nailed down, the device aims to be small enough to fit into glasses.
    Currently, [NullPxl] is exploring two main methods of detection. The first takes advantage of the fact that image sensors in cameras act as tiny reflectors for IR. That means camera-toting smartglasses have an identifying feature, which can be sensed and measured. You can see a sample such reflection in the header image, up above.

    As mentioned, Ban-Rays eschews the idea of using a camera to perform this. [NullPxl] understandably feels that putting a camera on glasses in order to detect glasses with cameras doesn’t hold much water, conceptually.

    The alternate approach is to project IR in a variety of wavelengths while sensing reflections with a photodiode. Initial tests show that scanning a pair of Meta smartglasses in this way does indeed look different from regular eyeglasses, but probably not enough to be conclusive on its own at the moment. That brings us to the second method being used: wireless activity.

    Characterizing a device by its wireless activity turned out to be trickier than expected. At first, [NullPxl] aimed to simply watch for BLE (Bluetooth Low-Energy) advertisements coming from smartglasses, but these only seem to happen during pairing and power-up, and sometimes when the glasses are removed from the storage case. Clearly a bit more is going to be needed, but since these devices rely heavily on wireless communications there might yet be some way to actively query or otherwise characterize their activity.

    This kind of project is something that is getting some interest. Here’s another smartglasses detector that seems to depend entirely on sniffing OUIs (Organizationally Unique Identifiers); an approach [NullPxl] suspects isn’t scalable due to address randomization in BLE. Clearly, a reliable approach is still in the works.

    The increasing numbers of smartglasses raises questions about the impact of normalizing tech companies turning people into always-on recording devices. Of course, the average person is already being subtly recorded by a staggering number of hidden cameras. But at least it’s fairly obvious when an individual is recording you with a personal device like their phone. That may not be the case for much longer.

    hackaday.com/2025/12/09/making…

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