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Researchers Claim to Crack the Voynich Manuscript Using AI, But Experts Are Skeptical

Computing scientists at the University of Alberta recently made a bold claim: They say they’ve identified the source language of the baffling Voynich Manuscript, and they did so using artificial intelligence.

Their study, published in Transactions of the Association of Computational Linguistics [PDF], basically states that an AI algorithm trained to recognize hundreds of languages determined the Voynich Manuscript to be encoded Hebrew. On the surface, this looks like a huge breakthrough: Since it was rediscovered a century ago, the Voynich Manuscript’s indecipherable text has stumped everyone from World War II codebreakers to computer programmers. But experts are hesitant to give credence to the news. “I have very little faith in it,” cryptographer Elonka Dunin tells Mental Floss. “Hebrew, and dozens of other languages have been identified before. Everyone sees what they want to see.”

Anyone who’s familiar with the Voynich Manuscript should understand the skepticism. The book, which contains 246 pages of illustrations and apparent words written in an unknown script, is obscured by mystery. It’s named for Wilfrid Voynich, the Polish book dealer who purchased it in 1912, but experts believe it was written 600 years ago. Nothing is known about the person who authored it or the book’s purpose.

Many cryptologists suspect the text is a cipher, or a coded pattern of letters that must be unscrambled to make sense. But no code has been identified even after decades of the world’s best cryptographers testing countless combinations. With their study, the researchers at the University of Alberta claim to have done something different. Instead of relying on human linguists and codebreakers, they developed an AI program capable of identifying the source languages of text. They fed the technology 380 versions of the Universal Declaration of Human Rights, each one translated into a different language and enciphered. After learning to recognize codes in various languages, the AI was given some pages of the Voynich Manuscript. Based on what it had seen already, it named Hebrew as the book’s original language—a surprise to the researchers, who were expecting Arabic.

The researchers then devised an algorithm that rearranged the letters into real words. They were able to make actual Hebrew out of 80 percent of the encoded words in the manuscript. Next, they needed to find an ancient Hebrew scholar to look at the words and determine if they fit together coherently.

But the researchers claim they were unable to get in touch with any scholars, and instead used Google Translate to make sense of the first sentence of the manuscript. In English, the decoded words they came up with read, “She made recommendations to the priest, man of the house and me and people." Study co-author Greg Kondrak said in a release, “It’s a kind of strange sentence to start a manuscript but it definitely makes sense.”

Dunin is less optimistic. According to her, naming a possible cipher and source language without actually translating more of the text is no cause for celebration. “They identify a method without decrypting a paragraph,” she says. Even their method is questionable. Dunin points out the AI program was trained using ciphers that the researchers themselves wrote, not ciphers from real life. “They scrambled the texts using their own system, then they used their own software to de-scramble those. Then they used it on the manuscript and said, ‘Oh look, it’s Hebrew!’ So it’s a big, big leap.”

The University of Alberta researchers aren’t the first to claim they’ve identified the language of the Voynich Manuscript, and they won’t be the last. But unless they’re able the decode the full text into a meaningful language, the manuscript remains as mysterious today as it did 100 years ago. And if you agree with cryptographers like Dunin who think the book might be a constructed language, a detailed hoax, or even a product of mental illness, it’s a mystery without a satisfying explanation.

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Animals
Where Do Birds Get Their Songs?
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Birds display some of the most impressive vocal abilities in the animal kingdom. They can be heard across great distances, mimic human speech, and even sing using distinct dialects and syntax. The most complex songs take some practice to learn, but as TED-Ed explains, the urge to sing is woven into songbirds' DNA.

Like humans, baby birds learn to communicate from their parents. Adult zebra finches will even speak in the equivalent of "baby talk" when teaching chicks their songs. After hearing the same expressions repeated so many times and trying them out firsthand, the offspring are able to use the same songs as adults.

But nurture isn't the only factor driving this behavior. Even when they grow up without any parents teaching them how to vocalize, birds will start singing on their own. These innate songs are less refined than the ones that are taught, but when they're passed down through multiple generations and shaped over time, they start to sound similar to the learned songs sung by other members of their species.

This suggests that the drive to sing as well as the specific structures of the songs themselves have been ingrained in the animals' genetic code by evolution. You can watch the full story from TED-Ed below, then head over here for a sample of the diverse songs produced by birds.

[h/t TED-Ed]

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Animals
Watch the First-Ever Footage of a Baby Dumbo Octopus
NOAA, Wikimedia Commons // Public Domain
NOAA, Wikimedia Commons // Public Domain

Dumbo octopuses are named for the elephant-ear-like fins they use to navigate the deep sea, but until recently, when and how they developed those floppy appendages were a mystery. Now, for the first time, researchers have caught a newborn Dumbo octopus on tape. As reported in the journal Current Biology, they discovered that the creatures are equipped with the fins from the moment they hatch.

Study co-author Tim Shank, a researcher at the Woods Hole Oceanographic Institution in Massachusetts, spotted the octopus in 2005. During a research expedition in the North Atlantic, one of the remotely operated vehicles he was working with collected several coral branches with something strange attached to them. It looked like a bunch of sandy-colored golf balls at first, but then he realized it was an egg sac.

He and his fellow researchers eventually classified the hatchling that emerged as a member of the genus Grimpoteuthis. In other words, it was a Dumbo octopus, though they couldn't determine the exact species. But you wouldn't need a biology degree to spot its resemblance to Disney's famous elephant, as you can see in the video below.

The octopus hatched with a set of functional fins that allowed it to swim around and hunt right away, and an MRI scan revealed fully-developed internal organs and a complex nervous system. As the researchers wrote in their study, Dumbo octopuses enter the world as "competent juveniles" ready to jump straight into adult life.

Grimpoteuthis spends its life in the deep ocean, which makes it difficult to study. Scientists hope the newly-reported findings will make it easier to identify Grimpoteuthis eggs and hatchlings for future research.

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