In overgeneralization, the brain lumps both safe and unsafe things together and labels them all unsafe. For this reason, the researchers also call this the “better safe than sorry” approach.

As a result, to seem more helpful, newer models may develop a stronger tendency to overgeneralize claims in their summaries – making them appear more informative or relevant, even when the evidence ...