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Greg Veis, YouTube Hunter: Coulter Clash

Every six months or so, reliable as clockwork, we're treated to some grotesquely bilious new statement from Ann Coulter. Lefties roar. Some righties run for cover. Others look the other way or bow their heads in half-apology. Cable news stations dive headlong into another easy-to-moralize-on filler topic perfectly suited for the 24 hour news cycle. And round and round we go.

This weekend, as you must've seen, and if you haven't click here, Coulter shocked no one with her latest foray into clownery, effectively calling John Edwards a "faggot." It was by no means the first time she'd suggested that a major Democratic figure was gay. She saddled Bill Clinton with that one last year, which led to this excellent Letterman bit:

(She also called Al Gore gay. But all in good fun!)

What's curious to me about the woman Andrew Sullivan once nailed as a "drag queen fascist impersonator" isn't that she keeps saying these things--nobody with functioning gray matter should be surprised at this point--it's that she's still allowed to be a part of the national discussion. Tim Hardaway, for one, went off on a nasty anti-gay tirade last week, and the NBA has since taken pains to ensure that he'll never go anywhere near a microphone again. Jimmy the Greek faded away after his racist comments. Al Campanis, too. But why is it that Coulter can defame whomever she damn well pleases in the most audacious manner possible and still be given a seat at the table? I'm not being rhetorical here. Why? Drop your opinions in the comments section. My guesses include: 1) she's too profitable a member of the publishing community; 2) political pundits essentially have tenure, making them impossible to dispose of (how else to explain David Brooks?); 3) there's a serious attraction/repulsion thing going on in watching a tall, blond, and skinny woman rowdily spew hate speech.

Anyway--and I can't believe I'm saying this--but we could all learn something from Adam Carolla:

Or from these two television reporters, who didn't bow, Alan Colmes-style, to her harpiness:

And here is a pie in the face:

I understand there are more pressing and ethically muddied issues to take on, but when are we gonna pull the plug on this lady? I'll admit, in the Clinton and early W. days, I respected her marketing savvy and used to think she was passably good entertainment--a comical counterpoint to the Franken/Moore left--but we're no longer living in relatively happy-go-lucky boom days. Our world is sordid, scary--and far too serious for a contemptuous clown like Ann to hold sway over public opinion.

[Also, this is the first entry I've posted myself. I owe a huge thanks to Mary and Winslow, whose lives I made miserable once a week for the last eight months.]

Original image
iStock // Ekaterina Minaeva
technology
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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
entertainment
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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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