I'd say it's moreso that it's a startlingly clear rebuttal to the tired refrain of, "Models today are nothing like they were X months ago!" When actually, yes, they still fucking blow.

So rather than patiently explain to yet another AI hypeman exactly how models are and aren't useful in any given workflow, and the types of subtle reasoning errors that lead to poor quality outputs misaligned with long-term value adds, only to invariably get blamed for user incompetence or told to wait Y more months, we can instead just point to this very concise example of AI incompetence to demonstrate our frustrations.