Mysterious Files PH

What hardware hacker doesn’t have a soft spot for transparent cases? While they may have fallen out of mainstream favor, they have an undeniable appeal to anyone with an interest in electronic or mechanical devices. Which is why the Orbigator built by [wyojustin] stands out among similar desktop orbital trackers we’ve seen.

Conceptually, it’s very similar to the International Space Station tracking lamp that [Will Dana] built in 2025. In fact, [wyojustin] cites it specifically as one of the inspirations for this project. But unlike that build, which saw a small model of the ISS moving across the surface of the globe, a transparent globe is rotated around the internal mechanism. This not only looks gorgeous, but solves a key problem in [Will]’s design — that is, there’s no trailing servo wiring that needs to be kept track of.

For anyone who wants an Orbigator of their own, [wyojustin] has done a fantastic job of documenting the hardware and software aspects of the build, and all the relevant files are available in the project’s GitHub repository.

The 3D printable components have been created with OpenSCAD, the firmware responsible for calculating the current position of the ISS on the Raspberry Pi Pico 2 is written in MicroPython, and the PCB was designed in KiCad. Incidentally, we noticed that Hackaday alum [Anool Mahidharia] appears to have been lending a hand with the board design.

As much as we love these polished orbital trackers, we’ve seen far more approachable builds if you don’t need something so elaborate. If you’re more interested in keeping an eye out for planes and can get your hands on a pan-and-tilt security camera, it’s even easier.

While it might not be comprehensive, [Bret.dk] recently posted a retrospective titled “Every Single Board Computer I Tested in 2025.” The post covers 15 boards from 8 different companies. The cheapest board was $42, but the high-end topped out at $590.

We like the structure of the post. The boards are grouped in an under $50 category, another group for $50-100, and a final group for everything north of $100. Then there’s some analysis of what RAM prices are doing to the market, and commentary about CIX P1, Qualcomm, RISC-V, and more.

You get the idea that the post is only summarizing experiences with each board, and, for the intended purpose, that’s probably a good thing. On the other hand, many of the boards have full reviews linked, so be sure to check them out if you want more details. The Arduino Q didn’t fare well in review, nor did the BeagleBoard Green Eco. But the surprise was newcomer CIX. Their SoC powers two entries, one from Radaxa and the other from Orange Pi. In both cases, the performance of these was surprisingly good. There are some concerns with tooling and a few hiccups with things like power consumption, but if those were fixed, the CIX chips could be showing up more often.

[Bret’s] post is very informative. We’d be interested to hear whether you disagree with any of his assessments or have a favorite SBC that didn’t make his list. Let us know in the comments. Of course, there are other boards out there, but you can see that development tools and support often differentiate products more than just raw computing power.

A friend of mine has been a software developer for most of the last five decades, and has worked with everything from 1960s mainframes to the machines of today. She recently tried AI coding tools to see what all the fuss is about, as a helper to her extensive coding experience rather than as a zero-work vibe coding tool. Her reaction stuck with me; she referenced her grandfather who had been born in rural America in the closing years of the nineteenth century, and recalled him describing the first time he saw an automobile.

Après Nous, Le Krach

We are living amid a wave of AI slop and unreasonable hype so it’s an easy win to dunk on LLMs, but as the whole thing climbs towards the peak of inflated expectations on the Gartner hype cycle perhaps it’s time to look forward. The current AI hype is inevitably going to crash and burn, but what comes afterwards? The long tail of the plateau of productivity will contain those applications in which LLMs are a success, but what will they be? We have yet to hack together a working crystal ball, but perhaps it’s still time to gaze into the future.

To most of the population, AI, which for them mostly means ChatGPT, is a magic tool that can write stuff for them, and make them look smart when they’re not asking it to draw a picture of a cat doing something human. It has replaced a search engine for many people, and become a confidante to many others to the extent that the phrase “Chatbot psychosis” has entered the lexicon.

Having a tool that can write anything you ask it to has of course unleashed that AI slop; whether it’s a useless web page or an equally useless report at your employer, we’re all acquiring the skill of spotting fake content. There are some people who have predicted the demise of human writers as a result, but though the chatbots can do a pretty good job of copying a writer’s style I do not share that view. By the time we’ve reached that long plateau, there will be an enhanced value in content written by meatbags because the consumer will have evolved a hair-trigger response to slop, so rest assured, Hackaday will not succumb.

If I have a prediction for those chatbots it will mirror previous booms and crashes; that the circular economic illusion between chipmakers and AI companies will inevitably derail, and like search engines in the early 2000s, most of them will not survive.

Ah, I See You’re A Waffle Man, Then

My software developer friend sees an LLM as a productivity aid in her coding to be something with a future, but where do I as a writer and Hackaday scribe see them going? It’s something I’ve given quite some thought to, and my conclusion is one that is much less all-encompassing. The privacy aspect of sharing your innermost thoughts, business decisions, or whatever other valuable stuff with a third party will inevitably catch up with the LLM industry, whether it’s through an unscrupulous data sharing deal or an LLM revealing things it shouldn’t to others. I thus think that the most ubiquitous LLMs in our future will be ones that are much more local, with less reliance on those power-hungry datacentres. I can’t predict all their applications, but I’m going to give a couple of examples in the here and now which have caught my attention.

The first example comes from my experience outside Hackaday, over a long career in the publishing and documentation industry, Many organisations have huge libraries of information on their intranets which is commercially sensitive enough that it can’t leave the site for processing by external AI company. Imagine documentation, product specifications, and the like. There’s already a thriving industry of intranet search and retrieval products in this space, and the AI companies naturally want a piece of it too. I can see a future in which a local LLM equivalent of those old yellow Google Search rack servers provides an intelligent interface to those troves of data, without the danger of leaks, or of going off piste.

The second comes from both a 1980s British TV sit-com, and from the LLM projects we’re starting to see here at Hackaday. In short, I think that appliances you can talk to will find their way into the consumer market, and nowhere will be safe from the Red Dwarf Talkie Toaster.

Jokes about maniacal kitchen appliances aside, we are now at the point at which the latest Raspberry Pi can just about run a functioning speech-based chatbot. Given a few years more microprocessor and microcontroller development, and the current cost, of a Pi with the accelerator board, will drop to a few dollars for a high-end microcontroller to do the same task.

I see it as inevitable that there will be a class of chip that will be offered out of the box with some kind of LLM capability, and that in no time the most unlikely of appliances will have personalities. It will inevitably be annoying, but out of that will come a few that might be useful.

So along with my software developer friend I’ve tried to move beyond my writer’s disdain for the very obvious negative side of the LLM bubble, and look ahead to a future when using a chatbot is no longer thought to make you look smart. In a few years time an LLM will be one of those things that’s just there, and what form will it take? Like that early-20th-century American who looked at a car and saw it was going to have an impact on the future I know I’m looking at something that’s going to remain with me whether I like it or not. I’ve speculated on how that might happen in a couple of ways above, but what about you? Are the agents which are the darling of the AI crowd at the moment going to take over our lives? Or will it be something else? As always, the comments are below.

Regular Hackaday readers will no doubt be familiar with the work of Matthew Alt, AKA [wrongbaud]. His deep-dive blog posts break down hardware hacking and reverse engineering concepts in an engaging way, with practical examples that make even the most complex of topics approachable.

But one of the problems with having a back catalog of written articles is making sure they remain accessible as time goes on. (Ask us how we know.) Without some “algorithm” at play that’s going to kick out the appropriate article when it sees you’re interested in sniffing SPI, there needs to be a way to filter through the posts and find what’s relevant. Which is why the new “Roadmap” feature that [wrongbaud] has implemented on his site is so handy.

At the top of the page you’ll find [wrongbaud]’s recommended path for new players: it starts with getting your hardware and software together, and moves through working with protocols of varying complexity until it ends up at proper techno wizardry like fault injection.

Clicking any one of these milestones calls up the relevant articles — beginners can step through the whole process, while those with more experience can jump on wherever they feel comfortable. There’s also buttons that let you filter articles by topic, so for example you can pull up anything related to I2C or SPI.

Further down the page, there’s a helpful “Common Questions” section that gives you a brief overview of how to accomplish various goals, such as identify an unknown UART baud rate, or extract the contents of an SPI flash chip.

Based on the number and quality of the articles, [wrongbaud]’s site has always been on our shortlist of must-see content for anyone looking to get started with hardware hacking, and we think this new interface is going to make it even more useful for beginners who appreciate a structured approach to learning.

The various Raspberry Pi camera modules have become the default digital camera hacker’s tool, and have appeared in a huge number of designs over the past decade. They’re versatile and affordable, and while the software can sometimes be a little slow, they’re also of decent enough quality for the investment. Making a Pi camera can be annoying though, because different screens, lenses, and modules have their own mounting requirements. [Jacob David C Cunningham] has a solution here, with a modular Raspberry Pi camera, as an experimentation platform for different screens and lenses.

It takes the form of a central unit that holds the Pi and its support components, and front and rear modules for the screens or displays. Examples are given using the HQ and non-HQ modules, as well as with round or rectangular displays.

When designing a camera for 3D printing it’s a very difficult task, to replicate or exceed the industrial design of commercial cameras. Few succeed, and we’d include ourselves among that number. But this one comes close; it looks like a camera we’d like to use. We like it.

As pointed out by Tom’s Hardware, it’s been 26 years since the introduction of the gigahertz desktop CPU. AMD beat Intel to the punch by dropping the 1 GHz Athlon chip on March 6th of 2000, and partnered with Compaq and Gateway (remember them?) to deliver pre-built machines featuring the speedy silicon just a week later. The archived press release announcing the availability of the chip makes for some interesting reading: AMD compares the accomplishment with Chuck Yeager breaking the sound barrier, and mentions a retail price of $1,299 for the CPU when purchased in 1,000 unit quantities. In response Intel “launched” their 1 GHz Pentium III chip two days later for $990, but supply problems kept it out of customer’s hands for most of the year.

Speaking of breaking a barrier, Mobile World Congress took place this week in Barcelona, where TechCrunch reports there was considerable interest in developing a sub-$50 smartphone. The GSM Association’s Handset Affordability Coalition is working with major telecom carriers in Africa and as of yet unnamed hardware partners to develop the low-cost 4G device with the hopes of bringing an additional 20 million people online. While the goal is worthy enough, industry insiders have pointed out that the skyrocketing cost of memory will make it particularly challenging to meet the group’s aspirational price point.

While we’re big fans of affordable hardware at Hackaday, we’re less enthusiastic when it comes at the cost of repairability. It seems that won’t be a problem with Lenovo’s new T14 and T16 ThinkPads however, as earlier this week iFixit announced they were giving the laptops a provisional repairability score of 10 out of 10. As impressive as this sounds, there’s a bit of a caveat here: Lenovo apparently achieved this milestone by working closely with iFixit to identify pain points that could be improved.

Of course, this doesn’t invalidate the work both companies put into these new machines, but you do have to wonder if it didn’t put a thumb on the scale. To address this there’s an Editor’s Note at the top of the post denying that any preferential treatment was given while scoring.

Although we’re thrilled to see a manufacturer other than Framework actually put effort into making their laptops cheaper and easier to repair, it’s a shame that things have gotten to the point that repairability is now considered a special feature. We’re not just talking about computers either; modern cars are notoriously difficult to work on, and electrics doubly so. Which is what makes the Aria EV so appealing.

Developed by students at the Eindhoven University of Technology in the Netherlands, the electric car is designed to be as repairable as possible. Before you get too excited, the idea isn’t to try and get the car to market. In fact, the team cautions that the vehicle isn’t technically street legal. Rather it serves as an technical demonstrator and test bed for concepts that one day the major players might include in their own vehicles, such as using multiple smaller battery packs that are easier to service than one gargantuan array of cells.

Finally, we’re not quite sure how long it’s been around, but we’ve been having a blast browsing through Famelack recently. It allows you to watch free Internet TV streams from all over the world right in your browser. The About page mentions several open source projects being used under the hood, such as Three.js, which powers the slick 3D globe used to select which country you want to tune into. Perhaps most notably however, it’s using the collection of streams curated by the iptv-org project, a valuable resource to keep in mind for future projects. If you end up watching anything particularly noteworthy, let us know in the comments.

See something interesting that you think would be a good fit for our weekly Links column? Drop us a line, we’d love to hear about it.

With the RAM and storage crisis hitting personal computing very hard – along with new software increasingly suffering the effects of metastasizing ‘AI’ – more people than ever are pining for the ‘good old days’. For example, using that early 2000s desktop PC with Windows 98 SE might now seem to be a viable alternative in 2026, because it couldn’t possibly make things worse. Or could it? As a reality check, [SteelsOfLiquid] over on YouTube gave this setup a whirl.

The computer of choice is a very common Dell Dimension 2100, featuring a zippy 1.1 GHz Intel Celeron, 256 MB  of DDR1, and a spacious 38 GB HDD. Graphics are provided by the iGPU in the Intel i810 chipset, all in a compact, 6.9 kg light package. As an early Windows XP PC, this gives Windows 98 SE probably a pretty solid shot at keeping up with the times. At least the early 2000s, natch.

Of course, there is a lot of period-correct software you can install, such as Adobe Photoshop 5, MS Office 97 (featuring everyone’s beloved Clippy), but a lot of modern software also runs, with the Retro Systems Revival blog documenting many that still run on Win98SE in some manner, including Audacity 2.0. This makes it totally suitable for basic productivity things.

Gaming on Win98 is naturally limited to games from around that early 2000s time period or before, but the gaming library even for just Win98 and MS-DOS is pretty massive, so as long as you’re fine not playing the latest and greatest games, this is also pretty easy.

Where things get dicey is of course with using the modern Internet, as you need a modern browser and support for the latest TLS encryption features to not have many websites throw a hissy fit. Using Frog Find and similar proxies that target retro computing help here, fortunately.

Previously we covered ways that you can use Discord even on Windows 95 and Windows NT 3.1, others have ported .NET applications to Windows 9x, got Win98 up and running on a 2020-era system, and you can totally use modern YouTube in even the Netscape 2.x browser using an NPAPI plugin.

Although there are many arguments to be made for using at least a Windows version with an NT kernel over the 9x one, it’s hard to deny that software Back Then was less complex, less resource-hungry and still got all the things done. Maybe it is worth another look, before the AI Crisis forces us all back on Windows XP systems like the one featured in this video.