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12 Attempts to Bribe Celebrities for Worthy Causes

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Want to contribute to a worthy cause and get your favorite celebrity to do something awesome and/or ridiculous? That’s the idea behind Charity Bribes.

Anyone can post something awesome or bizarre for a specific celebrity to do. These ideas go on a master list, where the good people of the Internet vote for their favorites. Currently on the leader board: “Morgan Freeman to spend an afternoon narrating user-submitted animal videos.”

The activity with the most votes when the current bribe expires (every 30 days) is the next one to be featured. People then pledge money to get the celeb to do the aforementioned awesome thing. If the celeb doesn’t take the bribe, no one has to give the money they pledged. If the celebrity follows through, the predetermined charity gets the cash that was raised.

Larry David fans recently pledged more than $10,000 in an attempt to get LD on Twitter. Larry hasn't reacted to the bribe yet, but he has 30 days from the end of the bribe to make good on the deal. I have a good feeling about the current bribe, which happens to be #1 on our list:

1. Get Conan O’Brien to interview a guest on his show wearing an eye patch and black turtleneck while holding a pipe. If asked why, he should say, “I don’t want to talk about it.” All proceeds from this bribe go to Autism Speaks.

2. Get Christopher Walken to read dramatically from an upper-level biochemistry textbook. Perhaps adding in relevant anecdotes about his life. Proceeds go to The Sierra Club.

3. Get Celine Dion to sing “I Want Your Sex” by George Michael. Proceeds go to Cystic Fibrosis Quebec.

4. Get Rachael Ray to do a show with Epic Meal Time and each has to make the other's dish according to their recipe and instructions. Proceeds go to the American Heart Association.

5. Get Donald Trump to post a picture of how his hair looks when he wakes up. Proceeds go to St. Jude’s Children’s Hospital.

6. Get the Cast of the Wonder Years to reenact a famous scene. Proceeds go to United Way of NY.

7. Get Bill Clinton to do the Icky Shuffle and the Hokey Pokey on video. Proceeds go to the Clinton Global Initiative. (I feel like this probably happens at wedding receptions all of the time.)

8. Get Daniel Day Lewis to post a YouTube video of him reenacting the milkshake scene from There Will Be Blood with an eight year old drinking an actual milkshake. Proceeds go to AIDS. (I’m assuming that means the AIDS Foundation, but the user doesn't actually say).

9. Get Jack Black and Jack White to sing the hit song "Ebony and Ivory". Proceeds go to Little Kids Rock.

10. Get Katy Perry to switch places with Zooey Deschanel for a WHOLE episode of New Girl where no one acknowledges the switch. Proceeds go to Trevor Project.

11. Get Jeff Bridges to anchor ABC World News. Proceeds go to No Kid Hungry.

12. Get Christopher Lloyd to take a video of himself reenacting a scene from Back to the Future where he says "Great Scott!" Proceeds go to the Michael J. Fox Foundation for Parkinson's Research.

Let us know if you post a bribe. Anyone want to see Mangesh and Will arm wrestle? Want Ransom to give your town the Strange Geographies treatment?

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iStock // Ekaterina Minaeva
technology
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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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iStock
Animals
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Scientists Think They Know How Whales Got So Big
May 24, 2017
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iStock

It can be difficult to understand how enormous the blue whale—the largest animal to ever exist—really is. The mammal can measure up to 105 feet long, have a tongue that can weigh as much as an elephant, and have a massive, golf cart–sized heart powering a 200-ton frame. But while the blue whale might currently be the Andre the Giant of the sea, it wasn’t always so imposing.

For the majority of the 30 million years that baleen whales (the blue whale is one) have occupied the Earth, the mammals usually topped off at roughly 30 feet in length. It wasn’t until about 3 million years ago that the clade of whales experienced an evolutionary growth spurt, tripling in size. And scientists haven’t had any concrete idea why, Wired reports.

A study published in the journal Proceedings of the Royal Society B might help change that. Researchers examined fossil records and studied phylogenetic models (evolutionary relationships) among baleen whales, and found some evidence that climate change may have been the catalyst for turning the large animals into behemoths.

As the ice ages wore on and oceans were receiving nutrient-rich runoff, the whales encountered an increasing number of krill—the small, shrimp-like creatures that provided a food source—resulting from upwelling waters. The more they ate, the more they grew, and their bodies adapted over time. Their mouths grew larger and their fat stores increased, helping them to fuel longer migrations to additional food-enriched areas. Today blue whales eat up to four tons of krill every day.

If climate change set the ancestors of the blue whale on the path to its enormous size today, the study invites the question of what it might do to them in the future. Changes in ocean currents or temperature could alter the amount of available nutrients to whales, cutting off their food supply. With demand for whale oil in the 1900s having already dented their numbers, scientists are hoping that further shifts in their oceanic ecosystem won’t relegate them to history.

[h/t Wired]

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