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The New York City Subway Now Doubles as a Digital Library

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New York City’s library system is going underground. Ten subway cars redesigned to match the interior of the Rose Reading Room in the New York Public Library hit the tracks on June 8. The book spines decorating the seats, walls, and ad banners are just for decoration, but hundreds of actual texts are available to commuters as soon as they step in the station. For the next six weeks, anyone can download free books from New York City libraries when they connect to the Transit Wireless Wi-Fi network, The New York Times reports.

The initiative, dubbed “Subway Library,” is a collaboration between the New York Public Library, Brooklyn Public Library, Queens Library, the Metropolitan Transportation Authority, and Transit Wireless. It follows the launch of free Wi-Fi throughout the New York City subway system late last year. Prior to the roll-out, the only reading options for passengers were hard-copies or digital materials downloaded ahead of time. Now, anyone with a smart device can decide what they want to read after boarding the train.

The New York Public Library has a few suggestions for commuters stuck on what to read next. These include short excerpts perfect for single rides and full texts that might come in handy during extended delays. To get the full experience of reading a digital library book in a mobile library setting, keep an eye out for trains branded “SUBWAY LIBRARY” on the E and F lines.

[h/t The New York Times]

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Pop Culture
An AI Program Wrote Harry Potter Fan Fiction—and the Results Are Hilarious
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Andreas Rentz/Getty Images

“The castle ground snarled with a wave of magically magnified wind.”

So begins the 13th chapter of the latest Harry Potter installment, a text called Harry Potter and the Portrait of What Looked Like a Large Pile of Ash. OK, so it’s not a J.K. Rowling original—it was written by artificial intelligence. As The Verge explains, the computer-science whizzes at Botnik Studios created this three-page work of fan fiction after training an algorithm on the text of all seven Harry Potter books.

The short chapter was made with the help of a predictive text algorithm designed to churn out phrases similar in style and content to what you’d find in one of the Harry Potter novels it "read." The story isn’t totally nonsensical, though. Twenty human editors chose which AI-generated suggestions to put into the chapter, wrangling the predictive text into a linear(ish) tale.

While magnified wind doesn’t seem so crazy for the Harry Potter universe, the text immediately takes a turn for the absurd after that first sentence. Ron starts doing a “frenzied tap dance,” and then he eats Hermione’s family. And that’s just on the first page. Harry and his friends spy on Death Eaters and tussle with Voldemort—all very spot-on Rowling plot points—but then Harry dips Hermione in hot sauce, and “several long pumpkins” fall out of Professor McGonagall.

Some parts are far more simplistic than Rowling would write them, but aren’t exactly wrong with regards to the Harry Potter universe. Like: “Magic: it was something Harry Potter thought was very good.” Indeed he does!

It ends with another bit of prose that’s not exactly Rowling’s style, but it’s certainly an accurate analysis of the main current that runs throughout all the Harry Potter books. It reads: “‘I’m Harry Potter,’ Harry began yelling. ‘The dark arts better be worried, oh boy!’”

Harry Potter isn’t the only work of fiction that Jamie Brew—a former head writer for ClickHole and the creator of Botnik’s predictive keyboard—and other Botnik writers have turned their attention to. Botnik has previously created AI-generated scripts for TV shows like The X-Files and Scrubs, among other ridiculous machine-written parodies.

To delve into all the magical fiction that Botnik users have dreamed up, follow the studio on Twitter.

[h/t The Verge]

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Vivid Imagery Makes Poetry More Pleasurable, According to Psychologists
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Contrary to what English teachers led us to believe, most readers don’t judge poetry based on factors like alliteration and rhyme. In fact, a new study published in the journal Psychology of Aesthetics, Creativity, and the Arts suggests that vivid imagery (i.e. sense-evoking description) is what makes a poem compelling, according to Smithsonian.

To determine why some poetic works are aesthetically pleasing while others are less so, researchers from New York University and the Max Planck Institute for Empirical Aesthetics in Frankfurt, Germany, had more than 400 online volunteers read and rate 111 haikus and 16 sonnets. Participants answered questions about each one, including how vivid its imagery was, whether it was relaxing or stimulating, how aesthetically pleasing they found it, and whether its content was positive or negative.

Not surprisingly, taste varied among subjects. But researchers did find, overall, that poems containing colorful imagery were typically perceived as more pleasurable. (For example, one favorite work among subjects described flowers as blooming and spreading like fire.) Emotional valence—a poem's emotional impact—also played a smaller role, with readers ranking positive poems as more appealing than negative ones. Poems that received low rankings were typically negative, and lacked vivid imagery.

Researchers think that vivid poems might also be more interesting ones, which could explain their popularity in this particular study. In the future, they hope to use similar methodology to investigate factors that might influence our enjoyment of music, literature, and movies.

[h/t Smithsonian]

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