A model's highly confident narration can prevent users from recognizing when they should account for possible errors in its calculations or analysis, compounding the problem.

“It's a very, very confident narrator, um, which if you're a, a human trying to, um, you know, take the feedback coming from the model, um, is particularly problematic because, uh, you don't even know that, "Hey, I, I may need to hedge against a potential error in this calculation or in this analysis."”

“Um, but which in a way compounds the issue.”