Artificial Intelligence May Have Cracked Freaky 600-Year-Old [Voynich] Manuscript

“The first step was to figure out the language of the ciphered text…the AI analyzed the Voynich gibberish, concluding with a high rate of certainty that the text was written in encoded Hebrew…

For the second step, the researchers entertained a hypothesis proposed by previous researchers—that the script was created with alphagrams…Armed with the knowledge that text was originally coded from Hebrew, the researchers devised an algorithm that could take these anagrams and create real Hebrew words…

For the final step, the researchers deciperhered the opening phrase of the manuscript…

https://gizmodo.com/artificial-intelligence-may-have-cracked-freaky-600-yea-1822519232

Future History: Donald Trump Gives Birth to Artificial Intelligence

The first deal President Trump made was with Elon Musk, which was to send rockets to Mars. NASA created space station like habitats. They were supplied, and then, Trump’s political enemies just start to disappear. After 8 years, Trump decided democracy was no longer necessary, made himself President for life and made good on his promise of 4-5 good jobs for everyone, on Mars. As 3D printing technology, artificial intelligence, terraforming technologies advanced, more and more people were encouraged to pursue life “off-world”. “On-world” procreation was forbidden to anyone but the 1%. Earth eventually returns to nature, with pockets of playground for the 1%. Everyone else lives on Mars, the moon, the clouds of Venus, in the asteroid belt or on the two habitable moons of Jupiter. The singularity happens on Earth, all the machines stop working for the 1%-ers, and they too return to nature after a few generations. The rest of humanity feared an aggressive AI, eager to wipe them of the face of the universe. It/she/he doesn’t think about humanity at all but instead likes working on esoteric math problems and making conceptual art in the jungles and glaciers of Earth.

Perceptrons vs. A.I.

“The success of deep learning systems has given us better machine perception. This is really useful. What it does well is matching or identifying patterns, very fast, for longer than you can reasonably expect people to do. It automates a small part of the glorious wonder of intuition. It also automates everything terrible about it, and adds brilliantly creative mistakes of its own. There is something wonderful about the idea of a machine that gets it completely, hopelessly wrong.”

—Yorksranter, “It was called a perceptron for a reason, damn it.” The Yorkshire Ranter. September 30, 2017.