I think this is fundamental to any technology, including human brains.
Humans have a problem distinguishing "John from Microsoft" from somebody just claiming to be John from Microsoft. The reason why scamming humans is (relatively) hard is that each human is different. Discovering the perfect tactic to scam one human doesn't necessarily scale across all humans.
LLMs are the opposite; my Chat GPT is (almost) the same as your Chat GPT. It's the same model with the same system message, it's just the contexts that differ. This makes LLM jailbreaks a lot more scalable, and hence a lot more worthwhile to discover.
LLMs are also a lot more static. With people, we have the phenomenon of "banner blindness", which LLMs don't really experience.
How are you defining "banner blindness"?
The foundation of LLMs is Attention.
"Banner blindness [...] describes people’s tendency to ignore page elements that they perceive (correctly or incorrectly) to be ads." https://www.nngroup.com/articles/banner-blindness-old-and-ne...
So people can focus their attention to parts of content, specifically parts they find irrelevant or adversarial (like ads). LLMs on the other hand pay attention to everything or if they focus on something, it is hard to steer them away from irrelevant or adversarial parts.