Who Owns The Machine Anyway?

August 28, 2021 by Elliot Williams 42 Comments

The story of the McDonalds’ frozen treat machine involves technology, trade secrets, inside business dealings, franchiser/franchisee friction, and an alleged NDA violation. In short: lots of money and lawyers. But it also involves something that matters to all of us hackers — what it means to own a machine.

The brief background is that McDonald’s requires its franchisees to buy a particular Taylor Soft Serve machine. The machine would enter pasteurizing mode and has opaque error codes that are triggered apparently without the owners or operators understanding, at which point Taylor service techs come in to fix them — and get paid for their service, naturally. A small hardware startup, Kytch, stepped into the mess with a device that man-in-the-middles the Taylor machine’s status codes, allowing the machine’s owners to diagnose and monitor it themselves. Heroes, right?

Taylor, naturally, wants to look at a Kytch device, but they’re locked up under NDAs that Kytch require users to sign in order to protect their trade secrets. So when Taylor gets their hands on one, Kytch takes them to court for, ironically, reverse engineering their device that they built to reverse Taylor’s protocols.

There are no good guys in this fight: it’s corporate secrecy fighting corporate secrets. None of which, by the way, is Hackaday particularly fond of. Why? Because these secrets rob the ostensible owners of the devices of their ability to inspect, fix, and operate their machines. This is akin to the “right to repair” idea, but it’s somehow even more fundamental — the right to know what your own devices are doing.

What this story needs is a Robin Hood. And as the devices we get sold become increasingly wrapped up in EULAs and NDAs, and full of secret sauce that’s out of our control, we’re going to need a lot more Robin Hoods. It’s McDonald’s frozen treat machines, but it’s also your smart thermostat and your inkjet printer and your — you name it. Have at it, Hackaday!

Robot Utopia

We see so many dystopian visions of automation, it’s time for us to do it right! The Redefine Robots round of the 2021 Hackaday Prize just started, and it’s your chance to build robots that respect the users. It doesn’t have to be the largest project in the world, but it does have to be automatic and helpful. Start your engines!

Hands-On: MNT Reforms The Laptop

August 26, 2021 by Kerry Scharfglass 122 Comments

When we met our contact from MNT in the coffee shop, he was quietly working away on his laptop. Jet black and standing thick it was like an encyclopedia that didn’t quite blend in with the sea of silver MacBook lookalikes on the surrounding tables. After going through all the speeds and feeds we eagerly got our 64 piece driver kit out to open it up and see what made this marvel tick, but when the laptop was turned over it became clear that no tools were needed. The entire bottom of the machine was a single rectangle of transparent acrylic revealing everything from sharp white status LEDs on the bare mainboard to individual 18650 LiFePO4 battery cells in a tidy row. In a sense that’s the summary of the entire product: it’s a real laptop you can use to get work done, and every element of it from design to fabrication is completely transparent.

a view of the inside of a MNT Reform laptop, showing screen and keyboard — The MNT Reform

The device pictured here is called the Reform and is designed and manufactured by MNT, a company in Berlin, Germany (note MNT stands for MNT, it’s not an acronym). The Reform is a fully open source laptop which is shipping today and available via distribution through Crowd Supply. If the aesthetic doesn’t make it clear the Reform is an opinionated product designed from the ground up to optimize for free-as-in-freedom: from it’s solid metal chassis to the blob-free GNU/Linux distribution running inside.

We’re here to tell you that we’ve held one, it’s real, and it’s very well built.

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As ISS Enters Its Final Years, Politics Take Center Stage

August 24, 2021 by Tom Nardi 40 Comments

There was a time when the idea of an international space station would have been seen as little more than fantasy. After all, the human spaceflight programs of the United States and the Soviet Union were started largely as a Cold War race to see which country would be the first to weaponize low Earth orbit and secure what military strategists believed would be the ultimate high ground. Those early rockets, not so far removed from intercontinental ballistic missiles (ICBMs), were fueled as much by competition as they were kerosene and liquid oxygen.

Space Shuttle docked to Mir space station in 1995. — *Atlantis* docked to *Mir* in 1995.

Luckily, cooler heads prevailed. The Soviet Almaz space stations might have carried a 23 mm cannon adapted from tail-gun of the Tu-22 bomber to ward off any American vehicles that got too close, but the weapon was never fired in anger. Eventually, the two countries even saw the advantage of working together. In 1975, a joint mission saw the final Apollo capsule dock with a Soyuz by way of a special adapter designed to make up for the dissimilar docking hardware used on the two spacecraft.

Relations further improved following the dissolution of the Soviet Union in 1991, with America’s Space Shuttle making nine trips to the Russian Mir space station between 1995 and 1997. A new era of cooperation had begun between the world’s preeminent space-fairing countries, and with the engineering lessons learned during the Shuttle-Mir program, engineers from both space agencies began laying the groundwork for what would eventually become the International Space Station.

Unfortunately after more than twenty years of continuous US and Russian occupation of the ISS, it seems like the cracks are finally starting to form in this tentative scientific alliance. With accusations flying over who should take the blame for a series of serious mishaps aboard the orbiting laboratory, the outlook for future international collaboration in Earth orbit and beyond hasn’t been this poor since the height of the Cold War.

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Open-Source Insulin: Biohackers Aiming For Distributed Production

August 23, 2021 by Dan Maloney 76 Comments

When you’ve got a diabetic in your life, there are few moments in any day that are free from thoughts about insulin. Insulin is literally the first coherent thought I have every morning, when I check my daughter’s blood glucose level while she’s still asleep, and the last thought as I turn out the lights, making sure she has enough in her insulin pump to get through the night. And in between, with the constant need to calculate dosing, adjust levels, add corrections for an unexpected snack, or just looking in the fridge and counting up the number of backup vials we have on hand, insulin is a frequent if often unwanted intruder on my thoughts.

And now, as my daughter gets older and seeks like any teenager to become more independent, new thoughts about insulin have started to crop up. Insulin is expensive, and while we have excellent insurance, that can always change in a heartbeat. But even if it does, the insulin must flow — she has no choice in the matter. And so I thought it would be instructional to take a look at how insulin is made on a commercial scale, in the context of a growing movement of biohackers who are looking to build a more distributed system of insulin production. Their goal is to make insulin affordable, and with a vested interest, I want to know if they’ve got any chance of making that goal a reality.

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Neuromorphic Computing: What Is It And Where Are We At?

August 19, 2021 by Matthew Carlson 31 Comments

For the last hundred or so years, collectively as humanity, we’ve been dreaming, thinking, writing, singing, and producing movies about a machine that could think, reason, and be intelligent in a similar way to us. The stories beginning with “Erewhon” published in 1872 by Sam Butler, Edgar Allan Poe’s “Maelzel’s Chess Player,” and the 1927 film “Metropolis” showed the idea that a machine could think and reason like a person. Not in magic or fantastical way. They drew from the automata of ancient Greece and Egypt and combined notions of philosophers such as Aristotle, Ramon Llull, Hobbes, and thousands of others.

Their notions of the human mind led them to believe that all rational thought could be expressed as algebra or logic. Later the arrival of circuits, computers, and Moore’s law led to continual speculation that human-level intelligence was just around the corner. Some have heralded it as the savior of humanity, where others portray a calamity as a second intelligent entity rises to crush the first (humans).

The flame of computerized artificial intelligence has brightly burned a few times before, such as in the 1950s, 1980s, and 2010s. Unfortunately, both prior AI booms have been followed by an “AI winter” that falls out of fashion for failing to deliver on expectations. This winter is often blamed on a lack of computer power, inadequate understanding of the brain, or hype and over-speculation. In the midst of our current AI summer, most AI researchers focus on using the steadily increasing computer power available to increase the depth of their neural nets. Despite their name, neural nets are inspired by the neurons in the brain and share only surface-level similarities.

Some researchers believe that human-level general intelligence can be achieved by simply adding more and more layers to these simplified convolutional systems fed by an ever-increasing trove of data. This point is backed up by the incredible things these networks can produce, and it gets a little better every year. However, despite what wonders deep neural nets produce, they still specialize and excel at just one thing. A superhuman Atari playing AI cannot make music or think about weather patterns without a human adding those capabilities. Furthermore, the quality of the input data dramatically impacts the quality of the net, and the ability to make an inference is limited, producing disappointing results in some domains. Some think that recurrent neural nets will never gain the sort of general intelligence and flexibility that our brains offer.

However, some researchers are trying to creating something more brainlike by, you guessed it, more closely emulates a brain. Given that we are in a golden age of computer architecture, now seems the time to create new hardware. This type of hardware is known as Neuromorphic hardware.

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Where’s That Radio? A Brief History Of Direction Finding

August 19, 2021 by Al Williams 35 Comments

We think of radio navigation and direction finding as something fairly modern. However, it might surprise you that direction finding is nearly as old as radio itself. In 1888, Heinrich Hertz noted that signals were strongest when in one orientation of a loop antenna and weakest 90 degrees rotated. By 1900, experimenters noted dipoles exhibit similar behavior and it wasn’t long before antennas were made to rotate to either maximize signal or locate the transmitter.

British radio direction finding truck from 1927; public domain

Of course, there is one problem. You can’t actually tell which side of the antenna is pointing to the signal with a loop or a dipole. So if the antenna is pointing north, the signal might be to the north but it could also be to the south. Still, in some cases that’s enough information.

John Stone patented a system like this in 1901. Well-known radio experimenter Lee De Forest also had a novel system in 1904. These systems all suffered from a variety of issues. At shortwave frequencies, multipath propagation can confuse the receiver and while longwave signals need very large antennas. Most of the antennas moved, but some — like one by Marconi — used multiple elements and a switch.

However, there are special cases where these limitations are acceptable. For example, when Pan Am needed to navigate airplanes over the ocean in the 1930s, Hugo Leuteritz who had worked at RCA before Pan Am, used a loop antenna at the airport to locate a transmitter on the plane. Since you knew which side of the antenna the airplane must be on, the bidirectional detection wasn’t a problem.

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Airdropping Live Fish Is A Thing And It Looks Magnificent

August 18, 2021 by Zoe Skyforest 52 Comments

Utah is a place that features a wonderful and varied wilderness. Its mountainous terrain is home to many valleys, ponds, and streams. They’re a particular favorite of recreational anglers who visit the region for the great fishing. Oftentimes, however, these areas are fished out by visitors and need to be restocked. Other environmental factors also come into play in reducing populations, too.

A plane delivering live fish to the lakes of Utah via air drop. Source: Utah DWR

When this happens in some areas, it’s as simple as driving up a truck full of water and fish and dumping them into the lake. The problem is that many of these lakes and streams are difficult to access by foot or by road. Believe it or not, the most practical method found to deal with the problem thus far is dropping in live fish by air. Here’s how it all goes down.

Live Cargo

Typically, the fish dropped into these remote watercourses are quite young, and on the order of 1-3″ long. The fish are specifically raised to later be fished, and are also usually sterile, making it easier for Utah’s Division of Wildlife Resources to manage numbers. When it comes time to restock remote lakes, waterbombing planes are pumped full of water and loaded up with fish.

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