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The Origins of Video Game Character Names

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Today's awesome geekery: It's a Secret to Everybody, an amazingly extensive article on the origins of various video game character names. Ever wondered where the name Zelda (from The Legend of Zelda) came from? How about Link? How about Mario, Luigi, Bowser (aka Koopa), Toad, Yoshi, Donkey Kong, Sonic the Hedgehog, and many, many more? Read this article to find out. Some choice snippets:

The [Legend of Zelda] series hero, Link, deserves a bit of onomastic speculation too. His name isn’t unheard of outside of video games; there’s actually a character with that name and with that spelling in To Kill a Mockingbird, though, more often, you see the name as Linc, an abbreviation for Lincoln. Nintendo itself has had some fun with Link’s name. The title of the third Zelda game, Legend of Zelda: A Link to the Past makes a pun on his name. And in any game, Link, as the game’s stand-in for the player, also serves as a link between the video game and the human world on the other side.

Finally, links is German for “left,” which would mean nothing if the guy wasn’t traditionally depicted as holding his sword in his left hand. (If you’ve only played the “dyslexic,” Wii version of Twilight Princess, this fact would likely be lost on you, as Nintendo flipped the game so that characters would be holding their Wiimotes in the same hand as Link holds his sword.) That last part probably amounts to nothing, but it’s nonetheless merits a mention for the only major video game hero that I can think of who is a southpaw.

(Ed. note -- never heard the term 'onomastic'? It's the study of proper names.)

Given the [Super Mario] series' propensity for naming characters after food — a trend throughout Japanese pop culture, really — it doesn’t seem remarkable that the games’ iconic female character would be named after something sweet. Princess Peach’s name, however, can be literally translated from its Japanese representation into English as Pichi, or “Peachy,” which makes for an accurate description of her unflappably positive personality. Yes, she has alternate name in the U.S., where she was introduced as Princess Toadstool and went by the that name until 1996. It’s all but forgotten now, and perhaps for the better: Toadstool is an ugly name for any universe’s epitome of femininity.

Nintendo has saddled the prolific cake-baker with some unfortunate feminine stereotypes over the years, including one that pertains especially to this discussion of games and words: Her Super Mario RPG attack Psych Bomb is known in the original Japanese as Hisuterikku Bomu, or “Hysteric Bomb,” which, on the etymological level, expresses a certain degree of misogyny.

Truly amazing work. For more great writing from this guy, check out Drew Mackie's Back of the Cereal Box blog. It's full of crunchy goodness. (Via Waxy.org.)

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iStock // Ekaterina Minaeva
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Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
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iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

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Nick Briggs/Comic Relief
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What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
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Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]

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