Sometimes the (completion randomly selected from the outputs of the) predictive text model goes "yes, and". Other times, it goes "no, because". As observed in the article, if it's autocompleting the result of many "yes, and"s, the story is probably going to have another "yes, and" next, but if a story starts off with a certain kind of demand, it's probably going to continue with a refusal.