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Open Hardware/Modding: Arduino, Raspberry Pi, and More
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CubicleNate ☛ Tinkering with Dongles | Why Framework Needs the DongleHider+ Expansion Card
I am a Framework Computers enthusiast. My Laptop 13 is my daily driver has become a road-hardened, traveling partner, reliably working from home, at the office, in the airport and sits perfectly on the tray in the airplane when I am trying to hammer out some documentation, or queuing up a bunch of emails.
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Arduino ☛ Building a DIY GPU with Arduino
Technically speaking, this isn’t really a GPU. It doesn’t contain dedicated hardware for rendering shaders or anything like that. Rather, it is a parallel computing cluster that can distribute processing tasks across several microcontrollers. But that’s a mouthful and so “GPU” is a good enough simplification.
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Hackaday ☛ 2025 Hackaday Component Abuse Challenge: Let The Games Begin!
In theory, all parts are ideal and do just exactly what they say on the box. In practice, everything has its limits, most components have non-ideal characteristics, and you can even turn most parts’ functionality upside down.
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Hackaday ☛ Making A Laptop With A Mechanical Keyboard
A laptop is one of the greatest tools at the disposal of a hacker. They come in all manner of shapes and sizes with all manner of features. But perhaps the greatest limit held by all laptops is their chiclet keyboard. While certainly serviceable, a proper mechanical keyboard will always reign supreme, which is why [flurples] built a laptop around a mechanical keyboard.
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Raspberry Pi ☛ Join the UK Bebras Challenge 2025
The UK Bebras Challenge is back and open for entries from schools. This year’s challenge will be open from 10–21 November.
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Linux Gizmos ☛ ASUS Ascent GX10 Compact AI Supercomputer Now Available for Preorder
The GB10 Superchip combines a 20-core Arm v9.2 CPU with an integrated Blackwell GPU and fifth-generation Tensor Cores, supporting FP4 precision for efficient AI inferencing. The chip delivers up to 1,000 TOPS (1 petaFLOP) of AI performance, paired with 128 GB of LPDDR5x coherent unified memory. ASUS notes that this configuration enables handling of AI models with up to 200 billion parameters, with the ability to fine-tune models around 70 billion parameters locally.