  Here we briefly reflect on the philosophical foundations that ground the
quest towards ever-detailed models and identify four practical dangers derived
from this pursuit: explosion of the model's uncertainty space, model
black-boxing, computational exhaustion and model attachment. We argue that the
growth of a mathematical model should be carefully and continuously pondered
lest models become extraneous constructs chasing the Cartesian dream.
