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The Quick 10: 10 Things I Learned from the AP Stylebook

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Last year, I started using the AP Stylebook for proper news writing. First published in 1953, the volume contains rules and explanations for grammar, capitalizations, abbreviations, official titles, and much more.

According to the Elements of Journalism, Thomas Cahill said that one could tell "the worldview of a people... the invisible fears and desires... in a culture's stories." You can tell something about a culture from its grammar and style rules too, though there is no entry for "love," "fears" or "desires" in the AP Stylebook.

The latest edition added entries for terms such as the iPhone and WMD. Here are a few other things I learned while flipping through its pages:

10 Things I Learned from the AP Stylebook

1. I've been living a lie--Avenue is abbreviated "Ave." not simply "Ave" (I have to tell Mom.)

2. Finally, I have a definition for milquetoast at my beck and call, "Not milk toast when referring to a shrinking apologetic person. Derived from Caspar Milquetoast, a character in a comic strip by Harold T. Webster."

3. Apparently "diarrhea" is worthy of an entry, but not a definition. (It should be lower case, by the way.)

4. According to the grammar rules, the famous movie title should be "Lawrence (comma) of Arabia."

5. You should capitalize "Army" when referring to US forces (with or without the US specification), but use lowercase when referring to other countries. Supposedly this is because other countries don't use the term "army," but the rule seems a little US military-centric (at least to someone who went to a Quaker college).

6. "Do not use deaf and dumb."

7. The names of monotheistic gods are capitalized while polytheistic deities are not. (Is this a group discount?)

8. On a related note, "devil" is lowercase, but you should capitalize "Satan."

9. No entry for "nerd," sadly.

10. Under the definition of "web," the book cautioned that, "The Internet is a sprawling databank that's about one-quarter wheat and three-quarters chaff." Since it must be capitalized, Internet seems to be more important than the devil but on par with God and Satan.
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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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Name the Author Based on the Character
May 23, 2017
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