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All Hail the Fail Whale!

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Twitter users hate it when the server is down. The popular social networking site is often over capacity, which can be like drug withdrawal for hardcore users. But the image you see when Twitter is down brings out the smiles. Everyone loves the Fail Whale!

(image: NathanaelB)

It's an inspired use of art. Take a bad situation (interruption of service) and lighten the mood with a whimsical distraction (fail whale). In this simple design, you can see an entire story. It's a whale of a tale! A huge whale who dreams of flying achieves his goal with the help of his many devoted friends. The smile on his face tells you it really is a dream come true for him. How can you not love that?

And there are lots of ways people show their love for Fail Whale.


Fail Whale was designed by artist Yiying Lu. It wasn't a commissioned work, and Twitter didn't pay her directly or even link to her. She had uploaded it to iStockPhoto, where Twitter found it. It was originally called "Lift a Dreamer," and was created as an ecard for a friend. Yiying Lu gained recognition of her work through the fans of Fail Whale, and she benefits from the sale of merchandise at the official Fail Whale store at Zazzle. You can read the entire story at ReadWriteWeb.


The Fail Whale Fan Club was the driving force behind the recognition of Yiying Li's art. There's also a Fail Whale Facebook Group, Flickr Group, and News Group. The fan club recently held a party, where they drank Fail Whale Pale Ale. Of course.


The Fail Whale store has FW t-shirts, bumper stickers, mugs, and other items. You can also purchase FW greeting cards and art prints.


Fail Whale's girlfriend is Eve Whale, who declares her love for FW in this design by Yiyang Lu.


Tributes to the design come from all over. Hilary Talbot made this Fail Whale Kinetic Sculpture.


Flickr user emdot embroidered Fail Whale on at least two occasions.


Apelad (Adam Koford) paid tribute to Fail Whale by including him in his Laugh Out Loud Cats comic series.


Flickr user Timothy Greig used FW for a poster apologizing for inconvenience at a library in New Zealand.


You know you've made it when you see your name (or image) in lights! This tribute to FW showed up on a Peggy (an LED pegboard).


Flickr user SummerTX photographed this FW birthday cake. There are more cakes at the fan club site.


Twitter itself is not above using the whimsical whale in unorthodox ways. When the staff moved to their new offices, a "redirect" sign was posted on the old office door. It wasn't long before they updated it with a slightly more positive message.

What could be next for Fail Whale? Maybe being loved is enough.

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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]