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Religious pareidolia quiz

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Religious pareidolia: the perception of religious-icon-shaped patterns where none were intended. Over the years, everyone from the Virgin Mary to Mother Teresa have been spotted in impromptu appearances on food items, freeway underpasses and almost anywhere you can imagine, often drawing thousands -- and sometimes hundreds of thousands -- of faithful pilgrims. So here's the challenge: which of the following examples of religious pareidolia were actually reported (and in many cases, celebrated) and which are made up?

A. The Virgin Mary Grilled Cheese Sandwich
Ten years ago, a Florida woman was having her lunch when she suddenly discovered the image of Mary staring back at her, emblazoned on the grilled bread of her cheese sandwich. She wrapped the iconic sandwich in cellophane and cotton, and since then it has shown no signs of mold or crumbling, which the woman describes as "yet another miracle."

B. The Virgin Mary Piece of Firewood
About to ignite the wood in her fireplace, a Wisconsin woman (named ... wait for it ... Faith) realized that one of the logs had the Virgin's image on it. Naturally, she pulled it out of the hearth.

C. The Jesus Tortilla
A New Mexican woman found the image made with skillet burns on a tortilla she had prepared. She built a shrine to house the tortilla, which was visited by thousands of pilgrims after a priest reluctantly blessed it.

D. The Virgin Mary Panel of Wood
Diners at a California Souplantation restaurant noticed a strange pattern in the wood paneling above one of the booths: that of the Virgin Mary.

E. The Mother Teresa Cinnamon Bun, AKA "The NunBun"
A Tennessee coffeeshop turned a funny-shaped bun into an overnight sensation and a cottage industry, selling "NunBun" teeshirts, coffee mugs and other paraphernalia -- until a peeved Mother Teresa asked them to cease and desist.

F. Mary and the Chocolate Factory
Workers at a California chocolate factory were stunned to discover that a two-inch column of chocolate drippings which had accumulated under a leaky vat seemed to resemble the mother of God.

G. Mary Holding the Baby Jesus Pretzel
Need we explain further?

H. Jesus Pierogi
Not unlike the Jesus tortilla, but instead of building a shrine to the pierogi, its owners tossed it in the freezer and then tried to sell it on eBay.

I. Jesus Shrimp Tail
A California man believed he saw Jesus Christ's face on a shrimp tail. He said that when he ate his first shrimp, he had disregarded its tail, but then looked at it again and saw the face of Jesus. The man believed it was a sign, as he was going through a nasty divorce.

Answers after the jump!

A: True.
B: True.
C: True.
D: True.
E: True.
F: True.
G: True.
H: True.
I: True.

Yes, they're all true. And we've got the pictures to prove it:

mary chocolate.jpg
pierogi.jpgshrimp tail.jpg

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iStock // Ekaterina Minaeva
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
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]