• 0 Posts
  • 38 Comments
Joined 25 days ago
cake
Cake day: July 16th, 2026

help-circle



  • Granular privacy controls for profile sharing

    That said, there is one noticeable new feature for users: easier profile sharing. This feature allows users to share their name and image from existing profiles such as their Google, Apple or operator accounts in a conversation, ensuring that parties in a conversation become easier to identify, particularly in group settings. In keeping with RCS’s focus on ensuring their privacy, users will be able to control who can receive that information.

    Looks like iOS devices just recently started supporting E2EE between android and iOS (as long as iOS users have updated to iOS 26.5 and android users are on the latest version of Google Messages).

    I’m hoping this means that we’ll start to see other messaging clients supporting RCS besides Google Messages.





  • Vibe coding would be having the LLM generate most of the code for him.

    In this case, he’s not doing that. This is mostly him using the LLM in ways to write up reports on xfwm4, scan for issues, and help with pseudo-code.

    It’s easily saved me months of time, not in writing code (for non-trivial things, I can usually write it just as fast or faster), but in tracking down problems and helping me figure out solutions, whether that’s in Claude reading and reasoning about my code to find something that’s wrong, or in adding tons of targeted debugging prints to gather the information we need, and then sifting through the log file for me to do analysis.




  • The dislikes were great at telling me quickly if a tutorial was good or not.

    Now you generally have to check the top comments to see if there’s something wrong about the tutorial, but then YouTube started hiding those comments below ads/recommendations.

    Now I just use GrayJay and I can quickly check comments for any video.




  • Obviously, scanning the content of messages and content is controversial, but Apple says it performs the scan on the device. Users can also turn the feature off in the settings. “Sensitive Content Warning uses on-device machine learning to analyze photos and videos. Because they’re analyzed on your device, Apple doesn’t receive an indication that nudity was detected and doesn’t get access to the photos or videos as a result,” its website adds.

    I’d rather these kind of systems be set up to run locally like this, even better that we are given control to disable it. For the ML model it’s a balance between too many false positives and too many false negatives.