Another problem for AI to solve: deciphering ancient texts.
A similar process has yet to be accomplished for the manuscript’s language, which has stumped“Deciphering the Voynich Manuscript might give some historical insight into medieval life,” says Kevin Knight, a former professor of computer science at the University of Southern California. “But that’s not what drives people to try to decipher it. They do it for the intellectual challenge. It would be great to be the first person in 500 years to read and understand such a mysterious document.
“If I show you a long cipher, you may notice that ‘P’ is always followed by ‘D,’” Knight says. “You might guess that ‘P’ and ‘D’ stand for ‘Q’ and ‘U’ respectively because that’s how QU works in English. Once you know ‘D’ stands for ‘U,’ you might look for patterns related to ‘U.’ The computer can do this reasoning faster and better than a person.”of English, French, or Latin, making the decipherment trickier.
“Generally speaking, GPT is good at carrying out straightforward tasks that don’t require trial-and-error with a pencil and eraser,” Knight says. “For example: adding numbers, translating a sentence, counting words, writing a paragraph on topic X, etc. It’s less good at solving complex puzzles. But, of course, future versions of GPT may very well learn how to do things like this.”
The Voynich Manuscript and the Indus Valley Script are some of the most complicated language puzzles out there. As such, many scholars around the world will no doubt anxiously wait for AI advancements that may help reveal the mysteries behind these ancient texts.
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