A man’s hand is visible holding a large, potato-shaped object in the foreground. A short, white, cylindrical structure is on the top of the potato, with black wires bending back into the potato. A smaller rectangular structure is to one side of it, and a red alligator clip connects to a nail protruding from the potato.

Building A Potato-based GLaDOS As An Introduction To AI

Although not nearly as intimidating as her ceiling-mounted hanging arm body, GLaDOS spent a significant portion of the Portal 2 game in a stripped-down computer powered by a potato battery. [Dave] had already made a version of her original body, but it was built around a robotic arm that was too expensive for the project to be really accessible. For his latest project, therefore, he’s created a AI-powered version of GLaDOS’s potato-based incarnation, which also serves as a fun introduction to building AI systems.

[Dave] wanted the system to work offline, so he needed a computer powerful enough to run all of his software locally. He chose an Nvidia Jetson Orin Nano, which was powerful enough to run a workable software system, albeit slowly and with some memory limitations. A potato cell unfortunately doesn’t generate enough power to run a Jetson, and it would be difficult to find a potato large enough to fit the Jetson inside. Instead, [Dave] 3D-printed and painted a potato-shaped enclosure for the Jetson, a microphone, a speaker, and some supplemental electronics.

A large language model handles interactions with the user, but most models were too large to fit on the Jetson. [Dave] eventually selected Llama 3.2, and used LlamaIndex to preprocess information from the Portal wiki for retrieval-augmented generation. The model’s prompt was a bit difficult, but after contacting a prompt engineer, [Dave] managed to get it to respond to the hapless user in an appropriately acerbic manner. For speech generation, [Dave] used Piper after training it on audio files from the Portal wiki, and for speech recognition used Vosk (a good programming exercise, Vosk being, in his words, “somewhat documented”). He’s made all of the final code available on GitHub under the fitting name of PotatOS.

The end result is a handheld device that sarcastically insults anyone seeking its guidance. At least Dave had the good sense not to give this pernicious potato control over his home.

fastener counter

Fastener Fusion: Automating The Art Of Counting

Counting objects is an ideal task for automation, and when focusing on a single type of object, there are many effective solutions. But what if you need to count hundreds of different objects? That’s the challenge [Christopher] tackled with his latest addition to his impressive automation projects. (Video, embedded below.)

[Christopher] has released a series of videos showcasing a containerized counting system for various fasteners, available on his YouTube channel. Previously, he built remarkable devices to count and sort fastener hardware for automated packaging, but those systems were designed for a single fastener type. He effectively highlights the vast complexity of the fastener ecosystem, where each diameter has dozens of lengths, multiple finishes, various head shapes, and more.

To address this, he developed a machine that accepts standardized containers of fastener hardware. These uniform boxes can hold anything from a small M2 countersunk screw to a large M8 cap head bolt and everything in between. To identify the loaded box and determine the appropriate operations, the machine features an RFID reader that scans each box’s unique tag.

Once a box is loaded, the machine tilts it to begin counting fasteners using a clever combination of moving platforms, an optical sensor, and gravity. A shelf first pushes a random number of fasteners onto an adjustable ledge. A second moving platform then sweeps excess fasteners off, leaving only those properly aligned. It’s no surprise this system has nine degrees of freedom. The ledge then moves into view of a sensor from a flatbed scanner, which detects object locations with an impressive 0.04 mm resolution across its length—remarkable for such an affordable sensor. At this point, the system knows how many fasteners are on the ledge. If the count exceeds the desired number, a sloped opening allows the ledge to lift just high enough to release the correct amount, ensuring precision.

The ingenuity continues after the initial count. A secondary counting method uses weight, with a load cell connected to the bin where fasteners drop. A clever over-center mechanism decouples the tilting system from the load cell to ensure accurate readings. We love automation projects, and this one incorporates so many ingenious design elements that it’s sure to inspire others for their future endeavors.

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Hackaday Links: July 6, 2025

Taking delivery of a new vehicle from a dealership is an emotional mixed bag. On the one hand, you’ve had to endure the sales rep’s hunger to close the deal, the tedious negotiations with the classic “Let me run that by my manager,” and the closer who tries to tack on ridiculous extras like paint sealer and ashtray protection. On the other hand, you’re finally at the end of the process, and now you get to play with the Shiny New Thing in your life while pretending it hasn’t caused your financial ruin. Wouldn’t it be nice to skip all those steps in the run-up and just cut right to the delivery? That’s been Tesla’s pitch for a while now, and they finally made good on the promise with their first self-driving delivery.
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