Very often asking the _right_ questions is hardest part especially in a non-typical cases. Statistical ML models tend to do well on high-probability regions of

Very often asking the _right_ questions is hardest part especially in a non-typical cases. Statistical ML models tend to do well on high-probability regions of data that are densely sampled in training and are less good dealing with outlier cases. I am curious to see how GPT-4 deals with hard atypical cases.