Building Rust Apps For Cheap Hackable Handheld Console

The age of cheap and powerful devices is upon us. How about a 20 EUR handheld game console intended for retro game emulation, that runs Linux under the hood? [Luiz Ferreira] kicks the tires of a R36S, a very popular and often cloned device running a quad-core RK3326 with an Ubuntu-based OS, and shows us how to write and cross-compile a simple app for it using Rust – even if you daily drive Windows.

Since a fair bit of the underlying Linux OS is exposed, you can quickly build even text applications and have them run on the console. For instance, [Luiz]’s app uses ratatui to scan then print button and joystick states to the screen. Perhaps the most important thing about this app is that it’s a detailed tutorial on cross-compiling Rust apps for a Linux target, and it runs wonders using WSL, too.

Installing your app is simple, too: SSH into it, username ark and password ark. Looking for a Linux-powered device with a bright screen, WiFi, a fair few rugged buttons, and an OS open for exploration? This one is quite reassuring in the age of usual portables like smartphones getting more and more closed-off to tinkering. And, if the store-bought hackable Linux consoles still aren’t enough, you can always step it up and build your own, reusing Joycons for your input needs while at it.

Reverse Sundial Still Tells Time

The Dutch word for sundial, zonnewijzer, can be literally translated into “Sun Pointer” according to [illusionmanager] — and he took that literal translation literally, building a reverse sundial so he would always know the precise location of our local star, even when it is occluded by clouds or the rest of the planet.

The electronics aren’t hugely complicated: an ESP32 dev board, an RTC board, and a couple of steppers. But the craftsmanship is, as usual for [illusionmanager], impeccable. You might guess that one motor controls the altitude and the other the azimuth of the LED-filament pointer (a neat find from AliExpress), but you’d be wrong.

This is more like an equatorial mount, in that the shaft the arrow spins upon is bent at a 23.5 degree angle. Through that hollow shaft a spring-steel wire connects the arrow to one stepper, to drive it through the day. The second stepper turns the shaft to keep the axis pointed correctly as Earth orbits the sun.

Either way you can get an arrow that always points at the sun, but this is lot more elegant than an alt-az mount would have been, at the expense of a fiddlier build.  Given the existence of the orrery clock we featured from him previously, it’s safe to say that [illusionmanager] is not afraid of a fiddly build. Doing it this way also lets you read the ticks on the base just as you would a real sundial, which takes this from discussion piece to (semi) usable clock.

Your Supercomputer Arrives In The Cloud

For as long as there have been supercomputers, people like us have seen the announcements and said, “Boy! I’d love to get some time on that computer.” But now that most of us have computers and phones that greatly outpace a Cray 2, what are we doing with them? Of course, a supercomputer today is still bigger than your PC by a long shot, and if you actually have a use case for one, [Stephen Wolfram] shows you how you can easily scale up your processing by borrowing resources from the Wolfram Compute Services. It isn’t free, but you pay with Wolfram service credits, which are not terribly expensive, especially compared to buying a supercomputer.

[Stephen] says he has about 200 cores of local processing at his house, and he still sometimes has programs that run overnight. If your program already uses a Wolfram language and uses parallelism — something easy to do with that toolbox — you can simply submit a remote batch job.

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King Tut, with less resolution than he's had since Deluxe Paint

Volumetric Display With Lasers And Bubbly Glass

There’s a type of dust-collector that’s been popular since the 1990s, where a cube of acrylic or glass is laser-etched in a three-dimensional pattern. Some people call them bubblegrams. While it could be argued that bubblegrams are a sort of 3D display, they’re more like a photograph than a TV. [Ancient] had the brainwave that since these objects work by scattering light, he could use them as a proper 3D video display by controlling the light scattered from an appropriately-designed bubblegram.

Appropriately designed, in this case, means a point cloud, which is not exactly exciting to look at on its own. It’s when [Ancient] adds the colour laser scanning projector that things get exciting. Well, after some very careful alignment. We imagine if this was to go on to become more than a demonstrator some sort of machine-vision auto-aligning would be desirable, but [Ancient] is able to conquer three-dimensional keystoning manually for this demonstration. Considering he is, in effect, projection-mapping onto the tiny bubbles in the crystal, that’s impressive work. Check out the video embedded below.

With only around 38,000 points, the resolution isn’t exactly high-def, but it is enough for a very impressive proof-of-concept. It’s also not nearly as creepy as the Selectric-inspired mouth-ball that was the last [Ancient] project we featured. It’s also a lot less likely to take your fingers off than the POV-based volumetric display [Ancient] was playing DOOM on a while back.

For the record, this one runs the same DOOM port, too– it’s using the same basic code as [Ancient]’s other displays, which you can find on GitHub under an MIT license.

Thanks to [Hari Wiguna] for the tip.

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Production KiCad Template Covers All Your Bases

Ever think about all the moving parts involving a big KiCad project going into production? You need to provide manufacturer documentation, assembly instructions and renders for them to reference, every output file they could want, and all of it has to always stay up to date. [Vincent Nguyen] has a software pipeline to create all the files and documentation you could ever want upon release – with an extensive installation and usage guide, helping you turn your KiCad projects truly production-grade.

This KiBot-based project template has no shortage of features. It generates assembly documents with custom processing for a number of production scenarios like DNPs, stackup and drill tables, fab notes, it adds features like table of contents and 3D renders into KiCad-produced documents as compared to KiCad’s spartan defaults, and it autogenerates all the outputs you could want – from Gerbers, .step and BOM files, to ERC/DRC reports and visual diffs.

This pipeline is Github-tailored, but it can also be run locally, and it works wonderfully for those moments when you need to release a PCB into the wild, while making sure that the least amount of things possible can go wrong during production. With all the features, it might take a bit to get used to. Don’t need fully-featured, just some GitHub page images? Use this simple plugin to auto-add render images in your KiCad repositories, then.

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FLOSS Weekly Episode 858: YottaDB: Sometimes The Solution Is Bigger Servers

This week Jonathan chats with K. S. Bhaskar about YottaDB. This very high performance database has some unique tricks! How does YottaDB run across multiple processes without a daemon? Why is it licensed AGPL, and how does that work with commercial deployments? Watch to find out!

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Why LLMs Are Less Intelligent Than Crows

The basic concept of human intelligence entails self-awareness alongside the ability to reason and apply logic to one’s actions and daily life. Despite the very fuzzy definition of ‘human intelligence‘, and despite many aspects of said human intelligence (HI) also being observed among other animals, like crows and orcas, humans over the ages have always known that their brains are more special than those of other animals.

Currently the Cattell-Horn-Carroll (CHC) theory of intelligence is the most widely accepted model, defining distinct types of abilities that range from memory and processing speed to reasoning ability. While admittedly not perfect, it gives us a baseline to work with when we think of the term ‘intelligence’, whether biological or artificial.

This raises the question of how in the context of artificial intelligence (AI) the CHC model translate to the technologies which we see in use today. When can we expect to subject an artificial intelligence entity to an IQ test and have it handily outperform a human on all metrics?

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