Welcome to this week’s edition of the GBHackers cybersecurity newsletter — your weekly cybersecurity bulletin covering the 40 most important stories from July 6–10, 2026. This week the security world collided with AI head-on: prompt-injection attacks turned chatbots into C2 agents, five major AI coding assistants fell to a single attack pattern, and thousands of […]

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[Jenny] and I were talking about [Bitluni]’s experiment in scale, where he will take 65,536 cheap microcontrollers, network them all together, and give each one an RGB pixel. From there, antics will surely ensue. Right now, he’s only got 8,192 of them up and running, and already the novel problems and opportunities are rearing their heads.

We all know it from our own hacking. In theory, doing something ten times is ten times doing it once. But then in practice, entirely new phenomena appear as you scale up that were simply not there in the small. Maybe it happens when you repeat it one hundred times, or a thousand.

Viewed positively, this is the property of emergence: how the whole can be more than the sum of its parts, and how biology isn’t just chemistry multiplied by a few million interactions. In our blinky world, a massive wall of LEDs is a display, not just a bunch of pixels.

On the flip side, going from one microcontroller with a 10 mA current draw to 64 Ki controllers, with 655 A, is more than just a difference in scale. You need to learn a new skill set to handle the problem. Making a single prototype is a different problem from making a run of badges for a conference of 5,000 – you’ll need a team, and won’t be able to just hack it alone – not to even mention the parts sourcing woes.

So I loved watching [Bitluni] going through the upscaling. He certainly had an idea of what he was getting himself into, but as with the emerging properties of a big system, there are often emerging problems, and those you can’t always see ahead of time. Have you gotten into a project that scaled itself into something qualitatively different? Tell us about it.

Watching [sprite_tm]’s build of a handheld 486-based gaming computer, we got to thinking about retro computers and the eternal questions of how much of the computer needs to be actually “old” for it it be retro. Where is the soul of a retro computer? The CPU? The old yellowing plastic case? Maybe it depends on what you’re trying to get out of the hobby.

There is of course a spectrum of people playing around with old computers. For some people, let’s call them “vintage computer enthusiasts”, half of the fun is in keeping the actual old hardware running. This group tends to know what teletype lubricant smells like, and how to tell which capacitors need replacing.

For others, “team retro”, the joy is in using the machine itself, whether that be teaching the old dogs new tricks, or simply loading up nostalgic video games. Team retro is more content with emulations or emulations that are wrapped up neatly in hardware workalikes. They know which registers need POKEing, and whether or not Commander Keen is running at the right framerate.

I think [sprite_tm]’s project falls in with yet another camp, the retro-reengineers. Here, the idea is to step through the engineering lessons of the past by re-designing something from a bygone era. So when [sprite_tm] went with a period 486 CPU backed up by a modern FPGA, perhaps ironically borrowing code from the modern MiSTer project, it makes sense for his goals. Retro-reengineers know the bus architecture and the memory timings, and they are reinventing the wheel as a learning experience. Or in the case of [Voja Antonic]’s imaginary four-bit machine, it’s a teaching experience.

How you work often reflects what you’d like to get out of the project, and at Hackaday, of course, we love all of the above! We’ve identified at least three broad schools of fooling around with old computers. Are we missing any?