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Trivia Contest With Pat Kiernan Starts Now!

UPDATE: Congratulations to Drew Scheeler, who was the first person to submit all the correct answers, and thanks to everyone for participating!

You may have heard that I'm teaming up with mental_floss and TrivWorks to put on The Ultimate Halloween Pop Culture Trivia Night at the Bell House on October 29. But we couldn't wait to start in on the fun, so we're holding an online trivia contest on mental_floss, right here, right now.

Here's how it works:

1. Get an email ready. Address it to patstrivia@mentalfloss.com.
2. In the subject line, write "Pat's Trivia."
3. Hit play on the video above. I'll read 10 Halloween-related trivia questions; you pick the answers from the multiple choice options provided below, and put them in the body of the email.
4. When you're finished, hit send!

The first person to email all the correct answers to patstrivia@mentalfloss.com will win a prize. Good luck!

Ready? Here we go...

Question #1 Multiple Choice Answers
Hebrew
Lunar
Mayan
Egyptian
Wiccan
Celtic
Satanic
New Moon
Pagan
Welsh

Question #2 Multiple Choice Answers
1057
1122
1215
1315
1492
1515
1692
1776
1884
1901

Question #3 Multiple Choice Answers
“Night of the Living Dead”
“Invasion of the Body Snatchers”
“Alien”
“Carrie”
“Jaws”
“A Nightmare on Elm Street”
“Friday the 13th”
“Halloween”
“The Exorcist”
“The Texas Chain Saw Massacre”

Question #4 Multiple Choice Answers
Maine
Oregon
Minnesota
Maryland
Wisconsin
New Hampshire
Virginia
Arkansas
California
Montana

Question #5 Multiple Choice Answers
Casper
Astronaut
Bear
Clown
Dog
Robot
TV Set
Speak & Spell
Big Bird
Yoda

Question #6 Multiple Choice Answers
Roman Candles
Jack-O'-Lanterns
Incense Sticks
Tax Returns
Counterfeit $100 Bills
Memorial Candles
Teabags
Trivia Magazines
“E.T. the Extra-Terrestrial” Video Games
Cigarettes

Question #7 Multiple Choice Answers
1
2
3
4
5
6
7
8
9
10

Question #8 Multiple Choice Answers
Twizzlers
Hershey’s Kisses
Snickers
Twix
Candy Canes
Candy Corn
Kit-Kat
Gummy Bears
Reese's Peanut Butter Cups
M&M’s Again

Question #9 Multiple Choice Answers
Pescatarianism
Omnivorism
Hematology
Hematophagy
Bloodism
Somatophorism
Oncolophagy
Septology
Emenisism
Hemogoblin

Question #10 Multiple Choice Answers
Big Bill
“Wild” Bill
Big Tex
Big Papa
Big Mama
Sandy
Horrace
Chairy
Large Marge
Alamo

And that's it! Email your answers to patstrivia@mentalfloss.com, and, if you're in the area, come out to the Ultimate Halloween Pop Culture Trivia Night on October 29 at the Bell House in Brooklyn. mental_floss will be there giving away prizes—get your tickets here.

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

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