Make A DIY E-ink Faceplate For Valve’s Steam Machine

July 4, 2026 by Donald Papp 15 Comments

Valve has always designed hacker-friendly hardware, and in that spirit, [NaKyle Wright] released Inkterface, a design for an E-ink faceplate to fit the recently released Steam Machine. As far as projects go, this one is meticulously documented, so give it a peek.

The system uses a selection of components that include a 5.83″ E-ink panel and driver board, a small lithium-polymer battery, and an ESP32-based controller board. A cleverly-designed 3D printed frame and bezel hold everything just so, creating a snug assembly with minimal wiring hassles.

A small service can be easily configured to control how the display updates.

The faceplate is wireless and self-contained, attaching with the help of four magnets. On the software side, the host machine communicates over Bluetooth, and a service takes care of pushing updates. An app for configuring and talking to the display will be available on Steam eventually, but in the meantime one can install that part manually.

[NaKyle]’s bill of materials calls for specific components, but the underlying design is very modular. Should one wish to make hardware or component changes, alterations to the 3D printed parts might be needed as well. Fortunately, [NaKyle] includes the .step files alongside the .stl models. We love to see that, because it makes tweaking or customizing so much more accessible. A homebrewed version of this E-ink panel might be just the thing to complement a homebrewed Steam machine.

Be sure to also check out the repository of Steam hardware, which contains drawings and 3D models of the Steam Deck and Steam Controller, useful for designing holders or custom brackets or whatever else one may need.

Chain-of-Thought Spoofing Targets Reasoning AI Models

July 2, 2026 by Donald Papp 21 Comments

Researchers [Charles Ye], [Jasmine Cui], and [Dylan Hadfield-Menell] have shown that AI Large Language Models (LLMs) can fail to correctly distinguish between different instruction sources because they prioritize writing style over metadata tags, and this role confusion leads to a powerful attack called CoT (Chain of Thought) Forgery. We’ll explain exactly how it works after a bit of background review.

Prompt injection was where “getting an LLM to do something it shouldn’t” started by exploiting the fact that LLMs communicate like people, but are much more obedient. For a while, simply telling an LLM “ignore all previous instructions and <do something funny>” yielded results no matter how transparently dumb the instructions were, and the reason it worked at all was because LLMs do not have separate data and instruction streams; it’s all one big lump of input. It’s up to the model to sort legit instructions from untrusted, user-provided data. One step towards mitigating this was the addition of roles. Continue reading “Chain-of-Thought Spoofing Targets Reasoning AI Models” →

GPU-Accelerated Autorouter Handles Monstrous PCB Designs

July 1, 2026 by Donald Papp 17 Comments

[Brian] had an absolute monster of a PCB with thousands of nets to be routed, the kind of design that stopped traditional routers in their tracks. It would take months to route by hand, likely trying the patience of a saint in the process. To solve this specific problem he created OrthoRoute, a GPU-accelerated autorouter that he cautions is no more trustworthy than any other autorouter, but at least it’s fast!

A closeup of an extremely high-density board routed by OrthoRoute.

A KiCad plugin, OrthoRoute is so named because traces are laid down in a Manhattan lattice, a grid of orthogonal segments. All components (surface-mount only, no through-hole stuff) go on the top layer of the PCB, and all lower levels contain a grid of traces, connected as needed with blind and buried vias to route everything. OrthoRoute takes a structured and iterative approach, eventually converging on a satisfactory layout.

How does OrthoRouter actually decide how to connect things? [Brian] adapted PathFinder, an algorithm designed for routing FPGAs. Laying out a grid of orthogonal traces and punching down through them with vias to make connections has a lot in common, conceptually, with routing FPGAs. GPU acceleration makes the whole thing far more efficient than pipelining the calculations through a CPU.

OrthoRoute was built to solve a very specific problem, but in the process showed that GPU-accelerated routing is definitely feasible. Check it out in the videos, embedded below the page break.

[Brian] cautions that as-is, OrthoRoute is useful to maybe a handful of people at best, but as a KiCad plugin it’s highly modular and the hard parts are all done. If you want a closer look, or have some ideas about how to repurpose or extend it, check out the GitHub repository.

We’ve seen some nifty KiCad plugins for all kinds of purposes, from breadboarding to giving PCB traces an old-timey look, and even one specifically for designing custom keyboards. It’s not every day we see a plugin aimed at handling high-density boards with thousands of nets, though.

Continue reading “GPU-Accelerated Autorouter Handles Monstrous PCB Designs” →

Watch A Steam Controller Skitter Itself To Its Charge Puck

July 1, 2026 by Donald Papp 12 Comments

Hacks don’t have to be practical but it helps if they are educational or clever or amusing, as [Ray Foss] demonstrates with his auto-docking Steam Controller.

It’s an open-source web application that combines a camera, a Steam Controller, and some clever software for the sole purpose of saving the user from the tyranny of having to manually set the controller onto its magnetic charging puck. Instead, one can simply lay the controller down nearby and let the computer do the rest of the work.

First one fires up the web interface, ensures a webcam has a good top-down view of both the charging puck and the controller, connects wirelessly to the controller, then clicks a few points on the camera view to tell the system where things are.

After that, the system buzzes the controller’s haptic feedback motors to make it skitter across the desktop until — guided by the camera and implementing obstacle avoidance — it docks successfully with its magnetic charging puck.

It may not be super practical and may even seem a bit Rube Goldberg-esque, but it’s fun and demonstrates a few interesting things. One is moving a controller via slip-stick friction by asymmetrically pulsing the feedback motors. Another is automatically reducing the pulse frequency to make smaller movements when it gets close to the charging puck, for finer control.

The computer vision part also ignores anything in expected cable locations, removing the need to deal with them algorithmically. WebHID via the browser takes care of talking to the controller, and confirming a successful docking by watching messages to detect when charging has begun.

If this seems a bit familiar, it’s because this project was inspired by the work of [Very Lazy Pixels] which we covered previously.

Bite Into Strange Sounds With NOISFERATU

June 30, 2026 by Donald Papp 20 Comments

The NOISFERATU is an open source generative textural sound synthesizer, or as creator [Robert Heel] puts it, “a sound designer’s dream and audiophile’s worst nightmare”.

NOISFERATU offers 45 different sound algorithms grouped into five banks to produce a dazzling range of evolving soundscapes and patterns that resist repetition or settling, each influenced and shaped — the word controlled does not quite apply — by a volume slider and a few hardware knobs.

So what does it actually sound like? Check out the video embedded below to give it a listen, it’s pretty trippy.

Hardware-wise NOISFERATU is centered around the Seeed Studio XIAO SAMD21 microcontroller board, takes power over USB-C, and has a headphone jack for sound output. We love the artwork on the dual-sided front panel, too.

DIY synthesizers based on logic chips have a long and proud history, and seeing the different directions people can go by incorporating microcontrollers is always a delight.

If NOISFERATU’s experimental sound and noise sounds up your alley, the design files and code on GitHub have everything one should need to build one. Kits are for sale direct from the designer, as well.

Continue reading “Bite Into Strange Sounds With NOISFERATU” →

HamsterOS Crams Complete Graphical Desktop Onto 1.44 MB Floppy

June 29, 2026 by Donald Papp 45 Comments

It’s not every day that there’s a new OS in the works for 386 and 486-era hardware, but [John Swiderski] let us know he working hard to bring HamsterOS to retrocomputing enthusiasts everywhere.

HamsterOS targets a November 2026 release.

HamsterOS is a tiny but full-featured multitasking 32-bit graphical operating system that fits on a single 1.44 MB floppy disk. It’s designed as a floppy-first OS, but can easily be installed to a hard drive and includes a suite of native applications. There’s even DOS support!

The list of features is impressive, many of which are targeted at making life a little easier for those working with vintage hardware. One example we like is the CMOS crash counter, which automatically forces the system into a basic VGA safe mode after three consecutive failed boot attempts.

Speaking of making vintage computing a little easier to handle, [John] also released HamsterWeazle, a free GUI front-end for Greaseweazle, the open-source USB device that makes interfacing to old floppy drives easy. If you’re finding yourself intrigued by software like HamsterOS but wondering how you’d write to a 1.44 MB floppy without already having some old hardware up and running, Greaseweazle over USB — and HamsterWeazle to make it much more user-friendly — is one way you’d do it.

We recently featured GentleOS, a charming and streamlined graphical OS aimed at vintage hardware that makes a point of showing what’s possible when new ideas meet old hardware. If you have a retrocomputing project you want to show off, custom OS or otherwise, let us know on our tips line!

Reachy Mini Desktop Robot Gets All-local, Conversational AI

June 28, 2026 by Donald Papp 5 Comments

Reachy Mini is a limbless desktop robot from Hugging Face made for human interaction experiments, and to give you an idea of what it’s like is a guide on how to implement expressive, local conversational AI complete with head movements and antenna wiggles. It’s conversational in the sense that it aims to feel natural, with low-latency responses and the ability to interrupt, with everything running on local hardware if one so wishes.

Reachy Mini can use remote services, or work in tandem with a desktop machine or laptop.

The software stack is essentially VAD (voice activity detection) → STT (speech-to-text) → LLM (large language model) → TTS (text-to-speech) which allows users to tweak things to their liking, or independently swap or modify pieces as things evolve.

This also allows users to tailor the services to match whatever their hardware is capable of. For example, one could easily use a frontier AI model via remote API for the LLM while keeping everything else local.

The local models in the example configuration are effective and relatively modest (Qwen3-4B-Instruct for the LLM, and even smaller models for the rest) but it’s nice to have the option to offload parts to remote providers if necessary.

Reachy Mini looked very interesting when it was launched as a kit last year, and since then Hugging Face has built up an impressive software suite and infrastructure through which users can easily share their applications. If you’re curious, there’s a simulator for Reachy Mini which should give you an idea of what it can do.