"Such tools might look mathematical (or whatever) on their surface, but they’re not seriously trying to answer hard problems in those domains—often because the creators don’t actually know what those problems are or understand how to solve them. Effective system design requires insights drawn from serious contexts of use

Startups and technologists often fool themselves by working with and talking to early adopters who are mostly interested in playing with new technologies. But it’s not just a “tech industry” problem: academic tool-makers generally evaluate their systems in artificial settings with artificial data, against artificial validation criteria."

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