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Cake day: July 12th, 2023

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  • The thing is in this case, it’s only human suffering. People don’t actually work nonstop all week. Giving them fewer hours over four days means they’re more productive for those days because they’re not dragging out their work to fill the arbitrary 40 hours they have to work for. So companies pay workers the same, but can save money in amenities and office space or whatever by using it less AND have more productive workers. Longer work weeks don’t actually make companies more money (oversimplifying and speaking broadly).




  • It’s probably not a bluff. They’ve pretty much saturated the U.S. market; there’s not much room left to grow here. It would make more sense to focus their efforts on growing in other regions where they have plenty of headroom to increase their userbase and monetization. Depending on how things play out, they could match their current revenue in a matter of years and still have room left to grow. There’s also the potential to re-enter the U.S. market down the line. Why would they throw that all away and essentially create their own competitor by selling their core technology and diluting/confusing their brand with whatever U.S. company they sell to?








  • I’m not sure if the piracy megathread or FMHY megathread cover the *arr stack specifically, but they have lots of information so I’m recommending them broadly for anyone wanting to ingest information about piracy.

    Regarding what the arr stack even is:

    Tldr, you set up a list of public and/or private trackers in Prowlarr or Jackett. In Radarr and Sonnar you set up movies and shows respectively that you want to keep track of. Rad/Sonarr check those trackers for releases for your tracked media matching criteria (like resolution, size, language, etc).

    When it finds a matching release, it sends the torrent file or magnet link to your torrent client to download. When it finishes, Rad/Sonarr hardlink or copy the file to a library location and organize/name them according to rules you set.

    You can point Jellyfin or Plex to that library location and all the media will be organized so it can easily figure out what media is there and grab metadata for it (cover images, description, ratings, etc). Then you can watch that media through Jellyfin/Plex or an app that plugs into them.

    The *arrs also work with usenet if you’d prefer that over or in addition to torrenting with a vpn.


  • We used the 100 AI and 100 human White faces (half male, half female) from Nightingale and Farid. The AI faces were generated using StyleGAN2. The human faces were selected from the Flickr-Faces-HQ Dataset to match each of the AI faces as closely as possible (e.g., same gender, posture, and expression). All stimuli had blurred or mostly plain backgrounds, and AI faces were screened to ensure they had no obvious rendering artifacts (e.g., no extra faces in background). Screening for artifacts mimics how real-world users screen AI faces, either as scientists or for public use, and therefore captures the type and range of stimuli that appear online. Participants were asked to resize their screen so that stimuli had a visual angle of 12° wide × 12° high at ~50 cm viewing distance.