ocher words, computational models, however finely perfected, are better understood as temporary states in a process of comi ng to know rather than fixed structures of knowledge.
This style of impermanent, adaptive thinking reminds me of that which Thomas Kuhn advocates for in The Structure of Scientific Revolutions. In order to build upon our knowledge of the world around us we have to be willing to accept when old systems of understanding are no longer viable and must be changed. The resulting paradigm shift ultimately elevates our knowledge on a given subject while progressing its field of work.