I'm not sure if I'm remembering it right, but I think it was on a Raphaël Millière interview on Mindscape, where Raphaël said something along the lines of when there are many dimensions in a machine learning model, the distinction between interpolation and extrapolation is not clear like it is in our usual areas of reasoning. I can't work out if this could be something similar to what the article is talking about.