Usagi’s New Computer is a Gas!

[Dave] over at Usagi Electric has a mystery on his hands in the form of a computer. He picked up a Motorola 68000 based machine at a local swap meet. A few boards, a backplane, and a power supply. The only information provided is the machines original purpose: gas station pump control.

The computer in question is an embedded system. It uses a VME backplane, and all the cards are of the 3u variaety. The 68k and associated support chips are on one card. Memory is on another. A third card contains four serial ports. The software lives across three different EPROM chips. Time for a bit of reverse engineering!

[Dave] quickly dumped the ROMs and looked for strings. Since the 68k is a big endian machine, some byte swapping was required to get things human readable. Once byte swapped, huge tables of human readable strings revealed themselves, including an OS version. The computer runs pSOS, an older 68k based real time operating system – exactly what one would expect a machine from the 80’s to run.

The next step was to give it some power and see if the gas station computer would pump once again. The LEDs lit up, and a repeating signal showed up from one of the serial ports. The serial connections on this machine are RS-485. Not common for home computers, but used quite a bit in industrial embedded systems. Unfortunately, the machine wouldn’t respond to commands sent from a terminal. The communication protocol remained a mystery.

Since this video has gone up though, several people have provided a wealth of information at the vintage-micros channel over on [Dave’s] Usagi Electric Discord.

Gas pumps are a bit of a departure from [Dave’s] usual minicomputer work. We’re no strangers to embedded systems here though.

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hackaday.com/2026/02/02/usagis…

How Vibe Coding is Killing Open Source

Does vibe coding risk destroying the Open Source ecosystem? According to a pre-print paper by a number of high-profile researchers, this might indeed be the case based on observed patterns and some modelling. Their warnings mostly center around the way that user interaction is pulled away from OSS projects, while also making starting a new OSS project significantly harder.

“Vibe coding” here is defined as software development that is assisted by an LLM-backed chatbot, where the developer asks the chatbot to effectively write the code for them. Arguably this turns the developer into more of a customer/client of the chatbot, with no requirement for the former to understand what the latter’s code does, just that what is generated does the thing that the chatbot was asked to create.

This also removes the typical more organic selection process of libraries and tooling, replacing it with whatever was most prevalent in the LLM’s training data. Even for popular projects visits to their website decrease as downloads and documentation are replaced by LLM chatbot interactions, reducing the possibility of promoting commercial plans, sponsorships, and community forums. Much of this is also reflected in the plummet in usage of community forums like Stack Overflow.

(Credit: Koren et al., 2026)
If we consider this effect of ‘AI-assisted’ software development to be effectively the delegating of the actual engineering and development to the statistical model of an LLM, then it’s easy to see the problems here. The LLM will not interact with the developers of a library or tool, nor submit usable bug reports, or be aware of any potential issues no matter how well-documented.

Although the authors of this paper are still proponents of ‘AI technology’, their worries seem well-warranted, even if it’s unclear at this point how big the impact is going to be. Software ecosystems like those involving JavaScript, Python, and web technologies are likely to suffer the impact from vibe coding first, as their audiences appear to be more into such vibes, and the training sets were largest.

It’s also a topic that is highly controversial, ever since Microsoft launched GitHub Copilot in 2021. Since then we saw reports in 2024 that ‘vibe coding’ using Copilot and similar chatbots offered no real benefits unless adding 41% more bugs is a measure of success.

By the time we hit 2025, we can observe an even more negative mood, with LLM chatbots in general being accused of degrading the cognitive skills of those using them, vibe coding chatbots reducing productivity by 19%, and experienced developers who gave them a whirl subsequently burning them to the ground in scathing reviews.

All of which reinforces the notion that perhaps this ‘AI revolution’ is more of a stress test for human intelligence than an actual boost to productivity or code quality. Despite the authors pitching the idea that OpenAI or Google could toss a few cents the way of OSS projects when their code is being used, the comparison with Spotify is painfully apt, since about 80% of artists on Spotify rarely have their tracks played and thus receive basically no money for their efforts.

With an LLM statistical model we know with extremely high likelihood that only the dependencies that are most prevalent in the training data set will realistically be used for the output, and we expect that we’ll see something similar happen with this vibe coding compensation scheme.

Even today we can already observe many negative effects from ‘AI slop’ in software development. Whether it’ll be something that’ll choke the life out of the entire OSS ecosystem remains to be seen, but it is hard to envision a bright vibe coding future.

hackaday.com/2026/02/02/how-vi…

Teardown of an Apple AirTag 2 With Die Shots

There are a few possible ways to do a teardown of new electronics like the Apple AirTag 2 tracker, with [electronupdate] opting to go down to the silicon level, with die shots of the major ICs in a recent teardown video. Some high-resolution photos are also found on the separate blog page.

First we get to see the outside of the device, followed by the individual layers of the sandwiched rings of the device, starting with the small speaker, which is surrounded by the antenna for the ultrawide band (UWB) feature.

Next is the PCB layer, with a brief analysis of the main ICs, before they get lifted off and decapped for an intimate look at their insides. These include the Nordic Semiconductor nRF52840 Bluetooth chip, which also runs the firmware of the device.

The big corroded-looking grey rectangle on the PCB is the UWB chip assembly, with the die shot visible in the heading image. It provides the localization feature of the AirTag that allows you to tell where the tag is precisely. In the die analysis we get a basic explanation of what the structures visible are for. Basically it uses an array of antennae that allows the determination of time-of-flight and with it the direction of the requesting device relative to it.

In addition to die shots of the BT and UWB chips we also get the die shot of the Bosch-made accelerometer chip, as well as an SPI memory device, likely an EEPROM of some description.

As for disabling the speaker in these AirTag 2 devices, it’s nestled deep inside, well away from the battery. This is said to make disabling it much harder without a destructive disassembly, yet as iFixit demonstrated, it’s actually fairly easy to do it non-destructively.

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hackaday.com/2026/02/02/teardo…