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@july
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
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@m-j-r
how do you see natural data? same obsolescence in a few years?
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@july
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
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@m-j-r
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).
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@july
its like how smartphones evolve quickly, but the data on them doesn't its because the format of the data is relatively unchanged (standards don't change) but the configuration of the tools that use them do
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@july
sorry - correction: standards do change, they just change at a much slower pace than tools do much like how rocks are living too, just not at the pace humans are used to thinking about life and death
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