a crazy idea: the fact that most (if not close to all) models, papers, are all going to be obsolete in a few years

even though they feel so new today

creating and destroying; built flying cars & autonomous vehicles, now building /faust, more here: /july, web: july.rocks

how do you see natural data? same obsolescence in a few years?

in a skeptical/conservative sense, I suppose I agree (best simulation, etc). otoh, I would argue that we don't know what can't be approximated. whatever the architecture/method/tools, the internal ontology will free up precision over time (imho).

Data has a much longer shelf life than the process 

Content > Methods & tools

Methods & tools are always a means to an end, not the end. Easy to get confused imo