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I tried the car-table example too (via Bing), using the exact same wording, and got a totally different confused reply, so it must think the two parsings of the

I tried the car-table example too (via Bing), using the exact same wording, and got a totally different confused reply, so it must think the two parsings of the sentence are closely probable (and isn't deterred by the semantics). I tried it with Bard too, which also thought the table was too small to fit in the car, and doubled down on this when pressed by explaining how the table might be too narrow or deep or heavy(!) to fit in the car. I was a bit surprised to see GPT-4 get this wrong, even it it's only doing so some of the time (sampling temperature randomness?).

HarHarVeryFunny 4y ago
Just tried again with GPT-4 (exactly as before), and reply this time was simply "The table didn’t fit in the car because it was too big. Do you have any other questions?". Bing/GPT bolded the words "too big". But as I said before, the fact that it sometimes gets it wrong must mean it doesn't see one parsing as much to be favored over the other, which is surprising given how competent it generally is.