  Today's computing is told to be based on the classic paradigm, proposed by
von Neumann, a three-quarter century ago. However, that paradigm was justified
(for the timing relations of) vacuum tubes only. The technological development
invalidated the classic paradigm (but not the model!) and led to catastrophic
performance losses in computing systems, from operating gate level to large
networks, including the neuromorphic ones. The paper reviews the critical
points of the classic paradigm and scrutinizes the confusion made around it. It
discusses some of the consequences of improper technological implementation,
from the shared media to the parallelized operation. The model is perfect, but
it is applied outside of its range of validity. The paradigm is extended by
providing the "procedure" that enables computing science to work with cases
where the transfer time is not negligible apart from processing time.
