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"What's the Frequency, Kenneth?"

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Getty Images

“What's The Frequency, Kenneth?”
Written by Bill Berry, Mike Mills, Peter Buck and Michael Stipe (1993)
Performed by R.E.M.

The Music

It makes sense that R.E.M., a band whose lyrics were often cryptic and indecipherable, would find inspiration for a song in the mysterious circumstances surrounding a physical attack on newsman Dan Rather. “It was the premier unsolved American surrealist act of the 20th century,” said singer Michael Stipe. “It's a misunderstanding that was scarily random, media-hyped and just plain bizarre.”

Though the title was lifted directly from a phrase uttered by one of Rather's assailants, the song itself tackled a much broader subject. Stipe said, “I wrote that protagonist as a guy who's desperately trying to understand what motivates the younger generation, who has gone to great lengths to try and figure them out. And at the end of the song, it's completely bogus. He got nowhere.”

As the first single from the band's 1993 Monster album, “What's The Frequency, Kenneth?” went to #21 on the charts (but only after the phrase “Don't f*** with me” was edited out for the radio version). Two years later (in a surreal moment that fits with this story), Dan Rather joined the band on stage in New York to warble along on a performance of the song.

Here's the official video:

And here's R.E.M. with guest vocalist Dan Rather:

The History

At about 11 pm on the night of October 4, 1986, CBS anchorman Dan Rather was walking along Park Avenue in New York, on the way back to his apartment. Just as he neared the building's entrance, he was accosted by two well-dressed men. One asked, “What is the frequency, Kenneth?” Rather replied, “You must be mistaking me for someone else . . .” With that, the man knocked Rather to the ground, and as he kicked and punched him, he repeatedly asked his strange question. Rather called out for help, and a moment later, as the doorman and the building's super arrived on the scene, the assailants fled.

The police took a statement, but no one was ever arrested or charged.

So was it just a random, unprovoked attack? A case of mistaken identity? Were the attackers some kind of secret agents delivering a message to Rather to back off a particular news story (at the time, he was researching the Iran Contra affair and was set to expose new information)?

Rather himself had no answers. “I got mugged,” he said shortly after. “Who understands these things? I didn't and I don't now. I didn't make a lot of it at the time and don't now. I wish I knew who did it and why, but I have no idea.”

Future Shock

The incident was strange, but it got even stranger. In 1994, a North Carolina man named William Tager shot and killed an NBC technician, Campbell Montgomery, outside the sound studio of the Today Show. Tager had tried to enter the the studio with an assault rifle, and Montgomery died in an attempt to block him. Tager was arrested and reportedly told police that the television network had been monitoring him for years and beaming secret messages into his head. He apparently came to NBC looking for a way to block those transmissions.

Tager was convicted of murder and sentenced to 25 years in Sing Sing prison.

His story took a sci-fi twist when he told a psychiatrist that he was a time traveler from a parallel world in the year 2265. A convicted felon in the future, Tager said he was a test-pilot volunteer in a dangerous time travel experiment. If he was successful on his mission, his sentence would be overturned and he would be set free. The authorities in the future kept tabs on him via an implanted chip in his brain. During the examinations, Trager also confessed that he had attacked Dan Rather because he mistook him for the Vice President of his future world, one Kenneth Burrows.

When Rather saw a photograph of Tager, he identified him as his assailant.

And there's yet another strand of intrigue to the tale. In 2001, Paul Limbert Allman wrote a speculative piece about the incident for Harper's Magazine. In exploring the work of post-modern fiction writer Donald Barthelme, Allman had discovered in his stories a recurring character named Kenneth and the phrase “What's the frequency?” Both Rather and Barthelme were the same age, hailed from Houston, Texas and as young men, worked as journalists. Allman thought it was reasonable to assume that their paths might've crossed. Furthermore, in one of Barthelme's books, there's a character named Lather, a conceited editor who bears a resemblance to Rather. The unspoken question was: Did Barthelme somehow inspire Tager's attack on Rather?

Barthelme died in 1989, and his brother Frederick, also a writer, has refused to comment on any connection.

There was also a theory that maybe Rather misheard his assailant's words, or even invented them. After all, this was a newscaster known for his colorful off-the-cuff analogies and descriptions that came to be called “Ratherisms.” Examples: “This thing is as tight as the rusted lug nuts on a '55 Ford” and “You would sooner find a tall talking broccoli stick to offer to mow your lawn for free.”

In 2010, William Tager was released from prison on good behavior. He currently lives in New York City, where he is closely monitored by parole officers and mental health counselors.

Rather retired from CBS in 2005. At 81, he continues to be active as a writer and occasional correspondent. He lives part time in New York City.

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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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