Generative AI makes things up. It can't distinguish between fact and fiction. It asserts its fabrications with confident authority.. It's still true today. But the tech industry keeps remodeling the entire digital universe around AI as if none of it were happening.Generative AI's unreliability may just be a nuisance when you're asking it for a recipe or a video recommendation.
But they're still fundamentally better at whiteboarding rough ideas and mashing bits of information together haphazardly than at nailing down trustworthy answers."Because these programs cannot themselves be concerned with truth, and because they are designed to produce text that looks truth-apt without any actual concern for truth, it seems appropriate to call their outputs bulls--t," the paper's University of Glasgow authors write.
They don't "know" anything — they're just calculating what the best way to continue a sentence might be.But they can never guarantee that the model will always answer the same question with the same answer. Users expect AI to behave like any traditional computing tool — with consistency and logic — whereas generative AI always has an element of unpredictability and randomness.The wider discussion about AI's propensity for bulls--t keeps reigniting because the whole concept is still news to the general public.AI makers could try to make their tools more trustworthy with better data and training.
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