Saving Apollo By Decoding Core Rope

One of our favorite retro hardware enthusiasts, [CuriousMarc], is back with the outstanding tale of preserving Apollo Program software, and building a core rope reader from scratch to do it. We’ve talked about [Marc]’s previous efforts to get real Apollo hardware working again, and one of the by-products of this effort was recovering the contents of the read-only core rope memory modules that were part of that hardware.

The time finally came to hand the now-working Apollo guidance computer back to its owner, which left the team without any hardware to read core rope modules. But the archive of software from the program was still incomplete, and there were more modules to try to recover. So, the wizardly [Mike Stewart] just decided to roll up his sleeves and build his own reader. Which didn’t actually work as expected the first time.

And this leads us into one of [Marc]’s elevator music explainers, where he gives a beautiful rundown on how core rope works. And if you are thinking of core memory based on ferrite cores, get ready for a brain stretch, as core rope is quite a bit different, and is even more complicated to read. Which brings us to the bug in [Mike]’s reader, which is actually a bug in the block II design of the core rope modules.

Reading a byte off the module requires setting multiple inhibit wires to select an individual core. An innovation in block II allowed those inhibit wires to run at half current, but it turns out that didn’t actually work as intended, and partially selected multiple cores on the other half of the module. And [Mike] forget to re-implement that bug — the reader needs to literally be bug-for-bug compatible. A quick recompile of the FPGA code makes everything work again. And the conservation effort can continue. Stay tuned for more in the Apollo story!

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Black 4.0 Is The New Ultrablack

Vantablack is a special coating material, moreso than a paint. It’s well-known as one of the blackest possible coatings around, capable of absorbing almost all visible light in its nanotube complex structure. However, it’s complicated to apply, delicate, and not readily available, especially to those in the art world.

It was these drawbacks that led Stuart Semple to create his own incredibly black paint. Over the years, he’s refined the formula and improved its performance, steadily building a greater product available to all. His latest effort is Black 4.0, and it’s promising to be the black paint to dominate all others.

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How Framework Laptop Broke The Hacker Ceiling

We’ve been keeping an eye on the Framework laptop over the past two years – back in 2021, they announced a vision for a repairable and hacker-friendly laptop based on the x86 architecture. They’re not claiming to be either open-source or libre hardware, but despite that, they have very much delivered on repairability and fostered a hacker community around the laptop, while sticking to pretty ambitious standards for building upgradable hardware that lasts.

I’ve long had a passion for laptop hardware, and when Hackaday covered Framework announcing the motherboards-for-makers program, I submitted my application, then dove into the ecosystem and started poking at the hardware internals every now and then. A year has passed since then, and I’ve been using a Framework as a daily driver, reading the forums on the regular, hanging out in the Discord server, and even developed a few Framework accessories along the way. I’d like to talk about what I’ve seen unfold in this ecosystem, both from Framework and the hackers that joined their effort, because I feel like we have something to learn from it.

If you have a hacker mindset, you might be wondering – just how much is there to hack on? And, if you have a business mindset, you might be wondering – how much can a consumer-oriented tech company achieve by creating a hacker-friendly environment? Today, I’d like to give you some insights and show cool things I’ve seen happen as an involved observer, as well as highlight the path that Framework is embarking upon with its new Framework 16.

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The UK Online Safety Bill Becomes Law, What Does It Mean?

We’ve previously reported from the UK about the Online Safety Bill, a piece of internet safety legislation that contains several concerning provisions relating to online privacy and encryption. UK laws enter the statutes by royal assent after being approved by Parliament, so with the signature of the King, it has now become the law of the land as the Online Safety Act 2023. Now that it’s beyond amendment, it’s time to take stock for a minute: what does it mean for internet users, both in the UK and beyond its shores? Continue reading “The UK Online Safety Bill Becomes Law, What Does It Mean?”

African man hunched over a small robot car chassis

The Dar Es Salaam Hacker Scene And Gamut Detection

We’re on a sort of vacation in Tanzania at the moment and staying in a modest hotel away from the tourist and government district. It’s a district of small shops selling the same things and guys repairing washing machines out on the sidewalk. The guys repairing washing machines are more than happy to talk. Everybody’s amazingly friendly here, the hotel guy grilled us for an hour about our home state. But I really didn’t expect to end up in a conversation about computer vision.

In search of some yogurt and maybe something cooler to wear, we went on a little walk away from the hotel. With incredible luck we found a robotics shop a few blocks away. Mecktonix is a shop about two meters each way, stuffed full of Arduinos, robots, electronics components, servos, and random computer gear, overseen by [Yohanna “Joe” Harembo]. Nearby is another space with a laser engraver and 3D printer. The tiny space doesn’t stop them from being busy. A constant stream of automotive tech students from the nearby National Institute of Transport shuffle in for advice and parts for class assigned projects.

In between students, Joe demos an autonomous car he’s working on. In classic hacker fashion, he first has to reattach the motor driver board and various sensors, but then he demos the car and its problem –  the video frame rate is very slow. We dive in with him and try to get some profiling using time.monotonic_ns(). He’s never done profiling before, so this is a big eye opener. He’s only processing one video frame every 4.3 seconds, using YOLO on a Pi 3, and yup, that’s the problem.  I suggest he change to gamut detection or a Pi 4. Continue reading “The Dar Es Salaam Hacker Scene And Gamut Detection”

The Simulated Universe Thought Experiment And Information Entropy

Do we live in a simulation? This is one of those questions which has kept at least part of humanity awake at night, and which has led to a number of successful books and movies being made on the subject, topped perhaps by the blockbuster  movie The Matrix. Yet the traditional interpretation of the ‘simulated universe’ thought experiment is one in which we – including our brains and bodies – are just data zipping about in a hyper-advanced simulation rather than physical brains jacked into a computer. This simulation would have been set up by (presumably) a hyper-advanced species who seem to like to run their own version of The Sims on a Universe-sized scale.

Regardless of the ‘why’, the aspect of this question where at least some scientific inquiry is possible concerns whether or not it would be possible to distinguish anything uniquely simulation-like in our environment that’d give the game away, like a sudden feeling of déjà vu in the world of The Matrix where you can suddenly perceive the fabric of the simulation. However, the major problem which we have to consider when trying to catch a simulation in the act is that to this point we cannot ourselves create even a miniature galaxy and intelligent beings inside it to provide a testable hypothesis.

Beyond popular media like movies and series like Rick & Morty, what do science and philosophy have to say about this oddly controversial subject? According to some, we have already found the smoking gun, while others are decidedly more skeptical.

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Game Graphics: Racing The Beam

Have you ever wondered how the graphics in your favorite video games worked? This is the start of a series on game graphics, and what better place to start than how exactly the original Mario Bros. got those glorious pixely pixels onto the screen. Buckle in, because we’re “racing the beam” with systems like the NES, Commodore 64, and many other classics from the 1980s.

And to understand the 1980’s, it’s important to understand how the televisions of the time worked. Cathode Ray Tube (CRT) televisions work by precisely bombarding a phosphor layer with electrons, which excites the phosphor, which then releases visible light. The beam scans from left to right then top to bottom, giving each pixel a small fraction of a second of time. All of this effectively means that pixel data needs be sent at the same time as when the pixels are being lit up, which is why this type of graphics is often dubbed “racing the beam”.

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