Machine learning text-generating models can write like humans, but they don’t have common sense


AI-powered machines may be able to generate text that is grammatically correct and very human-like, but when it comes to common sense they’re still lagging severely behind us meatbags.

A team of computer scientists from the University of Southern California (USC), the University of Washington, and the Allen Institute for Artificial Intelligence devised a new test examining verbal reasoning skills in machine learning systems. Given a list of simple nouns and verbs, the natural language processing models were tasked with stringing together a sentence to describe a common scenario.

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