As a human, I’m not even sure what the correct answer should be.

The pedantically correct response is to point out that you’re asking which of two identical things is different. As some commenters here point out, error correcting assumptions are a feature of intelligence. Geeks are sometimes mocked for taking words too literally.

But the questions are related. It's following a pattern that the AI has seen before and will respond in that spirit. Of course, humans are also prone to projecting the expected pattern in the face of a slight deviation. So I don't see how this is a knock on LLMs.

Maybe the model could think that you're asking the trick question wrongly like the parent comment was wondering.

To be honest I didn't see you change the question until I saw the model response.