The large hosted model providers always "fix" these issues as best as they can after they become popular. It's a consistent pattern repeated many times now, benefitting from this exact scenario seemingly "debunking" it well after the fact. Often the original behavior can be replicated after finding sufficient distance of modified wording/numbers/etc from the original prompt.
But this question posed to humans is plenty ambiguous because it doesn't specify whether you need to get to the boat or not, and whether or not the boat is at the wash already. ChatGPT Free Tier handles the ambiguity, note the finishing remark:
"If the boat wash is 50 meters down the street…
Drive? By the time you start the engine, you’re already there.
Sail? Unless there’s a canal running down your street, that’s going to be a very short and very awkward voyage.
Walk? You’ll be there in about 40 seconds.
The obvious winner is walk — unless this is a trick question and your yacht is currently parked in your living room.
If your yacht is already in the water and the wash is dock-accessible, then you’d idle it over. But if you’re just going there to arrange detailing, definitely walk."
The original car question is not ambiguous at all. And the specific responses to the car question weren't even concerned with ambiguity at all, the logic was borderline LLM psychosis in some examples like you'd see in GPT 3.5 but papered over by the well-spoken "intelligence" of a modern SOTA model.
"any human can instantly grok the right answer."
When asking a human about general world knowledge, they don't have the generality to give good answers for 90% of it. Even very basic questions humans like this, humans will trip up on many many more than the frontier LLMs.