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 ...

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.