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What 1967 Thought 2001 Would Look Like

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YouTube

Walter Cronkite, 1967, sitting in the living room of the Home of the 21st Century: "We could watch a football game, or a movie, shown in full color on our big 3D color screen. The sound would come from these globe-like speakers." His vision is reasonably correct, though the football game I watched yesterday wasn't in 3D, nor do my speakers look like globes. But conceptually it's spot-on -- right down to the ability for me to select what program I want to watch from a console. Granted, the console is an assemblage of remote controls and apps rather than a bunch of unlabeled dials, but still.

In 1967, CBS aired a program called The 21st Century, in which Walter Cronkite explored a vision of the future as seen through a late-60s lens. The March 12, 1967 episode featured the home, and the episode is written up in glorious detail by Matt Novak over at Paleofuture (a Smithsonian joint). The entire series is a fascinating bit of retrofuturism. Here's a snippet from Novak's writeup of that "home" episode:

The living room of the future is a place of push-button luxury and a mid-century modern aesthetic. The sunken living room may feature inflatable furniture and disposable paper kids’ chairs, but Cronkite assures us that there’s no reason the family of the future couldn’t have a rocking chair — to remind us that “both the present and the future are merely extensions of the past.”

Once inside we might find ourselves in a glass enclosure where the lint and dirt we’ve accumulated during our trip is removed electrostatically. Now we step into the living room. What will the home of the 21st century look like inside? Well, I’m sitting in the living room of a mock-up of the home of the future, conceived by Philco-Ford and designed by Paul McCobb. This is where the family of the 21st century would entertain guests. This room has just about everything one would want: a big (some might say too big) full color 3D television screen, a stereo sound system that could fill the room with music, and comfortable furniture for relaxed conversation.

If that living room looks familiar it may be because it’s the same house from the Internet-famous short film “1999 A.D.” produced in 1967 (often mistakenly dated as 1969, which would make the moon landing stuff less impressive) and starring a young Wink Martindale.

Here's the living room clip:

And a view of the home office, looking a little like my own (except with more knobs):

For much more, check out Novak's full article for analysis, clips, transcripts, and stills. It's great writing, and the video is fascinating partly for what it gets right and wrong...but also for its oddly soothing retro tone. You can also watch the whole episode via the A/V Geeks.

See also: Inside Monsanto's House of the Future, 1957, How People of the '70s Pictured Space Colonies of the Future, and Here's Your Jetpack.

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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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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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