2026-05-23 12:10:24
Of all the apps you can misclick in, hitting the wrong button during an online meeting is one of the worst. You can accidentally show your webcam, hang up on the call, stick your hand in the air, and even leave the call altogether, just from a simple aiming problem. And when they do happen, you don't forget about it for weeks after.
2026-05-23 11:28:32
In an ideal world, you'd be able to use any controller on any device. Different controller designers bring different things to the table, and having the option to pick your favorite and use it on any console or PC you own would be a huge benefit. At the very least, it would stop me needing to re-learn where the A and B buttons are when I go between an Xbox and a Switch controller.
2026-05-23 09:45:09
One of the biggest benefits of using Linux is that it's a very much an operating system that gets out of your way. As such, when something on Linux doesn't respect people's choices and keeps bothering them, the developers are sure to know about it. And as much as I love KDE Plasma, there is one thing that irks me when managing the clipboard: the constant asking if I want to clear starred items.
2026-05-23 08:00:21
If you’ve worked on DIY computing projects in the late 2010s, you’ve definitely heard of the Raspberry Pi, if not own a few single-board computers belonging to this family. After all, their tiny form-factor, affordable price tags, and solid compatibility with popular Linux distros (and packages) made them the perfect tinkering companions. But that’s all in the past now.
2026-05-23 07:00:21
The AMS has always been one of Bambu Lab’s best ideas, but also one of its messiest workflows. It can swap materials, keep spools ready, and turn a single printer into a much more flexible machine. Yet the software side has never quite felt as polished as the hardware promised. For a system built around loading multiple spools at once, keeping track of those spools has often been weirdly manual.
2026-05-23 06:00:23
For the longest time, the conversation around local AI models revolved around quality. They were either too slow, too dumb, too small, or too incapable to match what the titans over at OpenAI, Anthropic, and Google are doing with ChatGPT, Claude, and Gemini, respectively. That gap, however, is shrinking a lot faster than most people realize, even though it does exist in some areas. For the most part, though, modern local models have become genuinely impressive, and are capable of writing, summarizing, coding, and reasoning on capable hardware, of course.
