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True Crime: Doug Street, Human Chameleon

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Doug Street, Jr. never got his GED. Yet, the genius con man snuck into Yale, landed a job with Time, worked as a lawyer and even performed a stunning number of operations as a surgeon. Oh, and in his spare time he dabbled in extortion and credit card fraud. This is his story.


William Douglas "Doug" Street, Jr., is a man of high intelligence but little formal education. He never graduated from high school and never got his GED. He worked for his father in Detroit installing burglar alarms in homes and businesses, but felt that there was more to be had out of life. And he was impatient to grab that gusto that the beer commercials promised us was out there for the taking.


In the early 1970s, Doug Street was married to a demanding woman. She loved the finer things in life and was constantly urging her husband to get a better job and earn more money so that they could live the lifestyle she preferred. Street came up with a plan in 1971 to earn a quick $50,000 "“ he'd simply extort it from Detroit Tiger slugger Willie Horton by telling the married Horton that he had compromising photos of him with other women.

In order to infiltrate the Detroit ballclub he called General Manager Jim Campbell and claimed that he was wide receiver Jerry Levias of the Houston Oilers. Impersonating Levias, Street said that he was tired of football and wanted to try his hand at baseball. The Tigers gave him a plane ticket, a uniform, and had him pose for a lot of press photos. Then someone from UPI decided to phone the Oilers office for a quote and found out that the whole thing was a scam.

Picture 23.pngImpressed by his near-success, Street decided to try again. This time he posed as a Harvard Medical School graduate and talked his way into a residency at Detroit's Wayne State University Medical School. From there he moved to Illinois, where he worked as a surgeon at a Chicago hospital and performed 36 hysterectomies before being discovered. (One of his colleagues noticed that Street seemed to run back and forth to the men's room a lot; he followed him one day and caught Doug referring to a stack of medical textbooks he had stashed in there.)

Street next enrolled at Yale University as an exchange student from Martinique, even though his command of the French language was limited to "J'accuse! Jacques Cousteau. Jacques Brel." He used false credentials to land a job as a reporter for Time magazine and then moved back to Motown where he passed himself off as an attorney for the Detroit Human Rights Commission.


Street's undoing came in the early 1980s when he attended a black tie fundraiser while in his attorney persona and he bumped into his ex-wife, who was now a Jehovah's Witness. She blew the whistle on him and Street ended up serving time in first the Kinross Correctional Facility and later Jackson State Prison for credit card fraud as well as practicing medicine without a license. While serving his sentence he cooperated with Wendell B. Harris on a film loosely based on his life called Chameleon Street.

Ed. note: images are of Wendell Harris as Doug Street in Chameleon Street.

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iStock // Ekaterina Minaeva
Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
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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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© Nintendo
Nintendo Will Release an $80 Mini SNES in September
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© Nintendo

Retro gamers rejoice: Nintendo just announced that it will be launching a revamped version of its beloved Super Nintendo Classic console, which will allow kids and grown-ups alike to play classic 16-bit games in high-definition.

The new SNES Classic Edition, a miniature version of the original console, comes with an HDMI cable to make it compatible with modern televisions. It also comes pre-loaded with a roster of 21 games, including Super Mario Kart, The Legend of Zelda: A Link to the Past, Donkey Kong Country, and Star Fox 2, an unreleased sequel to the 1993 original.

“While many people from around the world consider the Super NES to be one of the greatest video game systems ever made, many of our younger fans never had a chance to play it,” Doug Bowser, Nintendo's senior vice president of sales and marketing, said in a statement. “With the Super NES Classic Edition, new fans will be introduced to some of the best Nintendo games of all time, while longtime fans can relive some of their favorite retro classics with family and friends.”

The SNES Classic Edition will go on sale on September 29 and retail for $79.99. Nintendo reportedly only plans to manufacture the console “until the end of calendar year 2017,” which means that the competition to get your hands on one will likely be stiff, as anyone who tried to purchase an NES Classic last year will well remember.

In November 2016, Nintendo released a miniature version of its original NES system, which sold out pretty much instantly. After selling 2.3 million units, Nintendo discontinued the NES Classic in April. In a statement to Polygon, the company has pledged to “produce significantly more units of Super NES Classic Edition than we did of NES Classic Edition.”

Nintendo has not yet released information about where gamers will be able to buy the new console, but you may want to start planning to get in line soon.