This stark performance gap between humans and machines is not surprising as most powerful language models have been designed to effectively learn local fluency patterns.
they generally lack the ability to abstract away from surface patterns in text to model more complex implied dynamics, such as intuiting characters' mental states or predicting their plausible next actions.