It seems useful as a necessary condition for intelligence--it requires lots of semantic world knowledge--but not as a sufficient condition. Unlike the Turing te

It seems useful as a necessary condition for intelligence--it requires lots of semantic world knowledge--but not as a sufficient condition. Unlike the Turing test, it's not comprehensive or open-ended. In the Turing test you could conceivably ask a participant to finish a poem or explain a joke; the result doesn't need to be good, but understanding the task already demonstrates a lot. With these Winograd schemas you could train a very specific machine learning model to guess the right co-reference relations (this is already a task in NLP that people compete for), and such a model is obviously not intelligent in any way, it can only do one thing.