In a recent photo essay for the New Yorker magazine, author Keith Gessen and photographer Andrew McConnell share what life is like for the residents around the launch facility and where Soyuz capsules land in Kazakhstan.

Read the article for a brief history of the Baikonur spaceport and observations from the photographer’s fifteen visits to observe Soyuz landings and the extreme separation between the local farmers and the facilities built up around Baikonur. A local ecologist even compares the family farmers toiling around the busy spaceport to a scene our readers may be familiar with on Tatooine.

We assumed Soyuz capsules splashdown somewhere near Russia just like the iconic images of Apollo capsules. While they can land in water, their 13 target landing sites are all on land in the sparsely inhabited Kazakhstan steppe (flat grasslands). According to russianspaceweb.com, the descent is slowed with a single large parachute. When the capsule is about one meter from the ground, solid rocket thrusters fire, “reducing the descent speed of the capsule to between 0 and 3 meters per second.” We learned that the rockets’ force, not the crumple zone on the capsule, causes so much stress that each is only suitable for a single use.

While there is fascinating engineering in the Soyuz landing, from the landing rockets mentioned above to parachute wires acting as antennae for transponders to the multiple automated and backup systems, there is some hacking by the local farmers as well. The cast-off parts of the single-use capsules become scrap metal for use around the farms, leading to haunting images that seem to come from a dystopian future where space flights are as common as commercial air travel but still out of reach for many.

We love watching 3D prints magically grow, through the power of timelapse videos. These are easier to make than ever, due in no small part to a vibrant community that’s continuously refining tools such as Octolapse. Most people are using some camera they can connect to a Raspberry Pi, namely a USB webcam or CSI camera module. A DSLR would arguably take better pictures, but they can be difficult to control, and their high resolution images are tougher for the Pi to encode.

If you’re anything like us, you’ve got a box or drawer full of devices that can take nearly as high-quality images as a DSLR, some cast-off mobile phones. Oh, that pile of “solutions looking for a problem” may have just found one! [Matt@JemRise] sure has, and in the video after the break, you can see how not one but four mobile phones are put to work.

It’s not quite enough cameras for bullet-time, but we are impressed that the system is OS agnostic, working with iOS and Android handsets simultaneously, and triggers the camera shutter and screenshots of clock apps. We’ve seen phones put to work here before but with a wired instead of a wireless connection.

Admittedly, this video is long. But, we see the physical setup, are walked through the control system, and get to see phones paired with a Pi’s Bluetooth for remote triggering. We also see how an open source video editing tool, Kdenlive, can assemble, edit, and even composite the image sequences. There’s even the inclusion of a scriptable Bluetooth keyboard emulation for smartphones that looks useful for many other automation and pentesting projects.

The video from [Matt@JemRise] promises to be the first in a series, with the setup details and GitHub code to follow. We hope so and will be tuning in to learn more.

Researchers at Carnegie Mellon University have shared a pre-print paper on generalized robot training within a small “practical data budget.” The team developed a system that breaks movement tasks into 12 “skills” (e.g., pick, place, slide, wipe) that can be combined to create new and complex trajectories within at least somewhat novel scenarios, called MT-ACT: Multi-Task Action Chunking Transformer. The authors write:

Trained merely on 7500 trajectories, we are demonstrating a universal RoboAgent that can exhibit a diverse set of 12 non-trivial manipulation skills (beyond picking/pushing, including articulated object manipulation and object re-orientation) across 38 tasks and can generalize them to 100s of diverse unseen scenarios (involving unseen objects, unseen tasks, and to completely unseen kitchens). RoboAgent can also evolve its capabilities with new experiences.

We are impressed that even with what may seem like minor variations in a kitchen scene to us, their model successfully adapts despite object location, lighting, background texture, and particularly novel object changes that would surely baffle most vision-based systems. After all, there’s a reason that most robots still do just repetitive tasks in locked cages.

One of the tools RoboAgent uses to complete novel tasks is the previously covered SAM (Segment Anything Model) from Meta. That and the modular approach to generalizing tasks seem more successful than trying to train systems for every possible variable. Learn more and find freely available datasets at the project’s GitHub site, the PDF pre-print research paper, and check out the video below.

Sometimes we have a new part or piece of tech that we want to use, and it feels like a solution looking for a problem. Upon first encountering NFC Tags, [nalanj] was looking for an application and thought they might make a great update to old-fashioned plant markers in a garden. Those are usually small and, being outside 24/7, the elements tend to wear away at what little information they hold.

[nalanj] used a freeform data structuring service called Cardinal to set up text information fields for each plant and even photos. Once a template has been created, every entry gets a unique URL that’s perfect for writing to an NFC tag. See the blog post on Cardinal’s site for the whole process, the thought behind the physical design of the NFC tag holder, and a great application of a pause in the 3D print to encapsulate the tags.

NFC tags are super hackable, though, so you don’t have to limit yourself to lookups in a plant database. Heck, you could throw away your door keys.

A Model T Ford customer could famously get their car “in any color he wants, so long as it’s black.” Thus begins [edconway]’s recounting of the incremental improvements in car paint and its surprising role in mass production, marketing, and longevity of automobiles.

In it, we learn that the aforementioned black paint from Ford had so much asphalt in it that black was the only color that would work. Not to go down a This Is Spinal Tap rabbit hole, but there were several kinds of black on those Model Ts. Over 30 of them were used for various purposes. The paints also dried in different ways. While the assembly only took 12 hours, the paint drying time took days, even weeks backing up production and begging for innovation. [edconway] then fast-forwards to an era of “conspicuous consumption and ‘planned obsolescence’” with DuPont’s invention of Duco that brought color to the world of automobiles.

See the article for the real story of advances in paint technology and drying time. Paint application technology has also steadily improved over the years, so we recommend diving in to get the century’s long story.

[WJCarpenter] had a common HVAC problem; not all the rooms got to a comfortable temperature when the heater was working to warm up their home. As often happens with HVAC systems, the rooms farthest from the heat source and/or with less insulation needed a boost of heat in the winter and cooling in the summer too. While [WJCarpenter] is a self-reported software person, not a hardware person, you will enjoy going along on the journey to build some very capable vent boosters that require a mix of each.

There’s a great build log on hackaday.io here, but for those who need more of a proper set of instructions, there’s a step-by-step guide that should allow even a beginner hardware hacker to complete the project over on Instructables. There you’ll find everything you need to build ESPHome controlled, 3D printed, PC fan powered vent boosters. While they can be integrated into Home Assistant, we were interested to learn that ESPHome allows these to run stand-alone too, each using its own temperature and pressure sensor.

The many iterations of hardware and software show, resulting in thoughtful touches like a startup sequence that checks for several compatible temperature sensors and a board layout that accommodates different capacitor lead spacings. Along the way, [WJCarpenter] also graphed the noise level of different fans running at multiple speeds and the pressure sensor readings against the temperatures to see if they could be used as more reliable triggers for the fans. (spoiler, they weren’t) There are a bunch of other tips to find along the way, so we highly recommend going through all that [WJCarpenter] has shared if you want to build your own or just want some tips on how to convert a one-off project to something that a wider audience can adapt to their own needs.

See a video after the break that doesn’t show the whole project but includes footage of the start-up sequence that tests each fan’s tachometer and the customizable ramp-up and ramp-down settings.

You won’t need to pack a full set of dice for your next game with this DIY Multifunctional Eink Gadget. [Sasa Karanović] brings us a fun device that combines a few essential aspects of tabletop gaming, D6, D12, and D20 dice rolling and a hero dashboard. While they have grand plans for a BLE networked future application, we admire the restraint to complete a V1 project before allowing scope-creep to run amok. Well played!

For this project, [Sasa] realized it needed to be battery powered and just choosing the right display for a battery powered application can be daunting. Even if you aren’t building this project, the video after the break includes a nice intro to electronic ink and low power microcontrollers for the uninitiated. We even see a graph of the completed board’s power draw from the button wake up, display refresh, and low power sleep. The project has some neat tips for building interaction into case design with the use of the display and a flexible bezel as integrated buttons.

The BLE capability introduces some exciting possibilities for connected game play in-person and over long distances, and it looks like [SasaKaranović] has some cool applications already in the works. We hope to see where those lead and if a community develops of hackers with similar devices building new applications for the multifunction device, from the dungeon to the smart-home.