Original image

The Flashy Girl From La Florida: The Nanny's Global Success

Original image

In its six seasons on CBS, The Nanny never broke into the Top 10 in ratings, peaking at #16 in season three. And this was before it was nearly canceled after a dismal first season. It was not a critical darling, nor an award-winner, garnering only one Emmy in its entire run: Best Costume Design. Yet despite a modest first-run performance, The Nanny has achieved great success in the years since its cancellation.

The Nanny soared overseas. Dubbed versions were broadcast worldwide with minor tweaks for cultural relevance. And then, Sony Pictures Television began marketing franchise licenses. By licensing The Nanny, foreign producers not only gained access to the story and scripts – they gained the authority to completely remake it.

So what makes the story of a Jewish-American girl with big hair from Flushing who serendipitously ended up as a nanny for a wealthy, British theatrical producer so darn universal? Show creator Fran Drescher chalks it up to the appeal of blue-collar meets blue-blood. The details might not be universal, but class struggle is. Here are some of the more successful adaptations.

Russia: My Fair Nanny

When it premiered in 2004, The Nanny was the first sitcom to ever air on Russian television. It was in such demand the producers ran out of scripts and hired some of the show’s American writers to create more.

Instead of being a Jewish-American woman named Fran from Flushing, “Vika” is a Ukrainian woman who moves from her working class neighborhood of ???????? to be a nanny for Maxim’s swanky Moscow family.

Poland: Niania

The Polish version ran for 134 episodes, boasting millions of viewers. Remaining pretty faithful to the original, Niania named its main characters Frania and Maks. Unlike the original, however, the Jewish heritage of the original character was omitted and Frania’s nationality is never really addressed.
In the opening credits, Frania takes a trolley to uptown Warsaw instead of hailing a cab.

Greece: ? ??????

This version aired on Greek channel Mega TV for two seasons.

In the original version, the wealthy father character was British and quite uptight. In this version Aris appears to be openly lecherous when it comes to the nanny named Mary. Also, the butler has foregone clean-cut suits for a more casual sweater and slacks look.

Argentina: La Niñera

After being kicked to the curb, Florencia Finkel shows up at the door of Juan Manuel Iraola. She hails from provincial neighborhood Lanús, an industrial hub located south of Buenos Aires. Juan lives in the upscale Buenos Aires neighborhood of Barrio Parque. Re-runs are still shown in Venezuela, Puerto Rico and on satellite channels.

La Niñera’s opening credits completely forgo the signature animation and theme song of the original.

Mexico: La Niñera

The Flushing of Mexico City is Roma, a declining neighborhood west of central Mexico City that, unlike Flushing, has become a trendy bohemian enclave in more recent years. As in the original, Francisca Flores is hired by a wealthy theater producer to be a nanny. In this version, Maximiliano Fabregas lives in Polanco, known for its impressive mansions and having the most expensive land prices in Mexico City.

The animation is similar to the original, but this version’s star, Lisset, sings the revamped theme song.

Chile: La Nany

Eliana Tapia Cardenas finds herself ousted from La Florida, a provincial commune in Santiago. She heads for the most prestigious neighborhood in all of Santiago, La Dehesa. There, she is hired by successful publicist/dad Max Valdivieso.

The opening credits use their own unique animation. One notable difference is Max is not dressed in a formal suit, and looks more like a playboy.

Turkey: Dadi

This appears to be the inaugural adaptation. Set in Istanbul, Melek becomes the nanny for Ömer’s children. Instead of big poofy hair, often a joke in the original version, Melek has short, spiky hair.

Here’s part of an episode with English subtitles. Like many of its peer adaptations, the opening credits do not use the animation or theme song.

Original image
iStock // Ekaterina Minaeva
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
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]