But how does one get out of the following vicious circle: How can you claim that your easily interpretable model "accurately" explains the world when it fails to predict what happens in the world?
It does not seem that one can make general statements concerning the "Prediction vs. Interpretation" debate. Sometimes one is better than the other given the particular situation.
I agree with the second part of your point : no one is better, we need both, depending on situation.
On the first part : even the powerful models don't accurately (what means accurate could be discussed) explain the world. ALL models are wrong, but some are useful
