“This gap between what models seem to be doing and what they are in fact doing is what my colleagues and I call epistemia: a situation when the simulation of knowledge becomes indistinguishable, to the observer, from knowledge itself. Epistemia is a flaw in people’s interpretation of these models in which linguistic plausibility is taken as a surrogate for truth. This error happens because the model is fluent, and fluency is something human readers are primed to trust.”
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