Text summarization task difficulty supports the feynman tecnique
It turns out that in machine learning, the task of abstractive summarization (i.e. writing a summary of a piece of content in your own words) is much more computationally involved than extractive summarization (i.e. extracting the central parts of a piece of content). This fact highlights the (beneficial) elaborative load of abstractive summarization. This supports the value of the Feynman technique.