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"Happiness is Love," Researcher Concludes

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George Vaillant has been overseeing a longitudinal study of men's lives for more than 40 years. The study focuses on the personal and professional lives of men selected in the late 1930's, and its participants include luminaries like John F. Kennedy and Ben Bradlee (editor of The Washington Post), along with 266 less well-known men. Vaillant has come to a conclusion after four decades of observing these men's lives: "Happiness is love. Full Stop."

In an Atlantic article released today entitled What Makes Us Happy?, Joshua Wolf Shenk discusses the Harvard Study of Adult Development -- and its director -- in awesome detail. It's full of case studies of men who have been followed since childhood, many now in old age or dead. What were their lives like? What were the common threads that lead to happiness or despair? You have to read this. Here's a snippet from the piece:

...As Vaillant points out, longitudinal studies, like wines, improve with age. And as the Grant Study men entered middle age--they spent their 40s in the 1960s--many achieved dramatic success. Four members of the sample ran for the U.S. Senate. One served in a presidential Cabinet, and one was president. There was a best-selling novelist (not, Vaillant has revealed, Norman Mailer, Harvard class of '43). But hidden amid the shimmering successes were darker hues. As early as 1948, 20 members of the group displayed severe psychiatric difficulties. By age 50, almost a third of the men had at one time or another met Vaillant's criteria for mental illness. Underneath the tweed jackets of these Harvard elites beat troubled hearts. Arlie Bock didn't get it. "They were normal when I picked them," he told Vaillant in the 1960s. "It must have been the psychiatrists who screwed them up."

...Most psychology preoccupies itself with mapping the heavens of health in sharp contrast to the underworld of illness. "Social anxiety disorder" is distinguished from shyness. Depression is defined as errors in cognition. Vaillant's work, in contrast, creates a refreshing conversation about health and illness as weather patterns in a common space. "Much of what is labeled mental illness," Vaillant writes, "simply reflects our 'unwise' deployment of defense mechanisms. If we use defenses well, we are deemed mentally healthy, conscientious, funny, creative, and altruistic. If we use them badly, the psychiatrist diagnoses us ill, our neighbors label us unpleasant, and society brands us immoral."

Read the rest for a detailed look at the complex lives of several hundred Harvard men.

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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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Name the Author Based on the Character
May 23, 2017
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