Linux Fu: Stopping A Runaway

The best kind of Hackaday posts are the ones where there was some insurmountable problem with an elegant solution devised through deep analysis of the problem and creativity. This is not one of those posts. I’m sure you are familiar with bit rot. You know, something works for a long time and then, for no apparent reason, stops working. Well, that has been biting me, and lacking the time for the creative, elegant solution, I decided to attack it with a virtual chainsaw.

It all started with a 2022 Linux Fu about using autokey.

The Problem

I use autokey to give me emacs-style keystrokes in Web browsers and certain other programs. It intercepts keystrokes and translates them into other keystrokes. The problem is, the current Linux community hates autokey. Well, that’s not strictly true. They just love Wayland more. One reason I won’t switch from X11 is that I haven’t found a way to do something like I do with autokey. But since most of the powers-that-be have decided that X11 is bad and Wayland is good, X11 development is starting to show cracks.

In particular, autokey isn’t in the normal repositories for my distro anymore (KDE Neon). Of course, I’ve installed the latest version myself. I’m perfectly capable of doing that or even building from source. But lately, I’ve noticed my computer hangs, especially after sleeping for a long time. Also, after a long time, I notice that autokey just quits working. It is running but not working and I have to restart it. The memory consumption seems high when this happens. Continue reading “Linux Fu: Stopping A Runaway”

Jenny’s (Not Quite) Daily Drivers: Raspberry Pi 1

An occasional series of mine on these pages has been Daily Drivers, in which I try out operating systems from the point of view of using them for my everyday Hackaday work. It has mostly featured esoteric or lesser-used systems, some of which have been unexpected gems and others have been not quite ready for the big time.

Today I’m testing another system, but it’s not quite the same as the previous ones. Instead I’m looking at a piece of hardware, and I’m looking at it for use in my computing projects rather than as my desktop OS. You’ll all be familiar with it: the original Raspberry Pi appeared at the end of February 2012, though it would be May of that year before all but a lucky few received one. Since then it has become a global phenomenon and spawned a host of ever-faster successors, but what of that original board from 2012 here in 2025? If you have a working piece of hardware it makes sense to use it, so how does the original stack up? I have a project that needs a Linux machine, so I’m dusting off a Model B and going down memory lane.

Continue reading “Jenny’s (Not Quite) Daily Drivers: Raspberry Pi 1”

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Hackaday Links: April 13, 2025

It’s been a while since we’ve dunked on an autonomous taxi foul-up, mainly because it seemed for a while there that most of the companies field testing driverless ride-sharing services had either ceased operation or curtailed them significantly. But that appears not to be the case after a Waymo robotaxi got stuck in a Chick-fil-A drive-through. The incident occurred at the chicken giant’s Santa Monica, California location at about 9:30 at night, when the autonomous Jaguar got stuck after dropping off a passenger in the parking lot. The car apparently tried to use the drive-through lane to execute a multi-point turn but ended up across the entrance, blocking other vehicles seeking their late-evening chicken fix. The drive-through-only restaurant ended up closing for a short time while Waymo figured out how to get the vehicle moving again.

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This Week In Security: AI Spam, SAP, And Ivanti

AI continues to be used in new and exciting ways… like generating spam messages. Yes, it was inevitable, but we now have spammers using LLM to generate unique messages that don’t register as spam. AkiraBot is a Python-powered tool, designed to evade CAPTCHAs, and post sketchy SEO advertisements to web forms and chat boxes around the Internet.

AkiraBot uses a bunch of techniques to look like a legitimate browser, trying to avoid triggering CAPTCHAs. It also runs traffic through a SmartProxy service to spread the apparent source IP around. Some captured logs indicate that of over 400,000 attempted victim sites, 80,000 have successfully been spammed.

Continue reading “This Week In Security: AI Spam, SAP, And Ivanti”

Ask Hackaday: What’s A Sun-Like Star?

Is a bicycle like a motorcycle? Of course, the answer is it is and it isn’t. Saying something is “like” something else presupposes a lot of hidden assumptions. In the category “things with two wheels,” we have a winner. In the category “things that require gasoline,” not so much. We’ve noticed before that news stories about astronomy often talk about “sun-like stars” or “Earth-like planets.” But what does that really mean? [Paul Gilster] had the same questions, if you want to read his opinion about it.

[Paul] mentions that even textbooks can’t agree. He found one that said that Centauri A was “sun-like” while Centauri B was sometimes considered sun-like and other times not. So while Paul was looking at the examples of press releases and trying to make sense of it all, we thought we’d just ask you. What makes a star like our sun? What makes a planet like our planet?

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Ask Hackaday: Vibe Coding

Vibe coding is the buzzword of the moment. What is it? The practice of writing software by describing the problem to an AI large language model and using the code it generates. It’s not quite as simple as just letting the AI do your work for you because the developer is supposed to spend time honing and testing the result, and its proponents claim it gives a much more interactive and less tedious coding experience. Here at Hackaday, we are pleased to see the rest of the world catch up, because back in 2023, we were the first mainstream hardware hacking news website to embrace it, to deal with a breakfast-related emergency.

Jokes aside, though, the fad for vibe coding is something which should be taken seriously, because it’s seemingly being used in enough places that vibe coded software will inevitably affect our lives.  So here’s the Ask Hackaday: is this a clever and useful tool for making better software more quickly, or a dangerous tool for creating software nobody quite understands, containing bugs which could cause a disaster?

Our approach to writing software has always been one of incrementally building something from the ground up, which satisfies the need. Readers will know that feeling of being in touch with how a project works at all levels, with a nose for immediately diagnosing any problems that might occur. If an AI writes the code for us, the feeling is that we might lose that connection, and inevitably this will lead to less experienced coders quickly getting out of their depth. Is this pessimism, or the grizzled voice of experience? We’d love to know your views in the comments. Are our new AI overlords the new senior developers? Or are they the worst summer interns ever?