Google announced that their translation team discovered something interesting: after they turned over translation to a machine learning-enabled AI, it figured out its own way of translating.

After being taught to translate between English and Korean, then between Japanese and English, the AI invented its own fourth reference language that may draw upon deep-learning insights into a shared structure between the three languages. “This “interlingua” seems to exist as a deeper level of representation that sees similarities between a sentence or word in all three languages,” says TechCrunch.

Full explanation of the phenomenon from the Google team here.

Machine learning treats a dataset as a closed system. In the case of comic books, too much happens in between and outside the frame for the machine to understand.

For now, only humans can achieve “closure,” a measure of literary comprehension that computer scientists test in humans and AI by asking for a prediction of text in successive panels.

A New Zealand scientist, apparently fed up with the blindly financial reasons why academic conferences often accept papers of dubious quality, wrote a paper entirely reliant on Autocorrect’s AI. The paper was accepted.