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What Kind of Tweeter R U? The 13 Types on Twitter

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Some of you may recall my post on the 13 Types of Friends on Facebook. So here's a companion piece, though each type of Tweeter on Twitter will be limited to 140 characters, to keep in the spirit of the post.

1. The MIA/Machine Gunner is MIA for 4 weeks & then comes out of nowhere with 10 tweets in a row within a 4-minute span & then gone again!
2. The Social Media Moron DMs U even though U can't DM back because he's not following U, forcing U to @reply the whole world with private info
3. The Autobot RTs just about everything you tweet without adding or editing a thing. Note: some of these may be REAL autobots, but not all
4. The Plagiarizer doesn't bother with a (via @yourname) but just steals your tweet and claims it as his/her own. (We're onto you!)
5. The Follow/UnFollower first follows you, then waits for you to follow back, then when you're not looking, unfollows you. FAIL!
6. The Profile Photo Switcher changes his/her photo every week, making it really hard to recognize where the tweets are coming from. Fickle much?
7. The Joker tries really really hard to be funny ALL THE TIME. Even if some of them are, it becomes numbing after a while
8. The Letter Writer starts every tweet with Dear X, and then says something funny or ironic. [Okay, we get it. ha ha.]
9. The @Star Tweeter follows lots of Hollywood stars or famous sports figures and tweets @them as if they're best buds.
10. The Frequent Flyer thinks we care what airport s/he's in every other day, as if we're supposed to be impressed. [Ohhh! JFK/LAX?! WOW! Lucky u!]
11. The Bore tweets stuff like: Going to Trader Joes to do some shopping! [Cool! Hope that works out for you alright!!!! not]
12. The No Follower has about 20,000 followers but only follows 20 of them back. So much for using social media to create a community, eh?
13. The Over-Tweeter tweets so often, you're forced to shove them in a far-off Tweet Deck column you never check.

As always, if you think we missed a Type, that's what the comments are for!

For more Twitter humor, check out my site Twaggies.com. Also, if you want, you can follow ME on Twitter, because I'm NONE of the above ;-) @resila.

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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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