Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
Screenshot of this question was making the rounds last week. But this article covers testing against all the well-known models out there.
Also includes outtakes on the ‘reasoning’ models.
No it doesn’t? It says:
In which world is that an ambiguous question?
Where is the car?
This is the exact question a person would ask when they to have a gotcha answer. Nobody would ask this question, which makes it suspect to a straight forward answer.
That’s a very good point! For that matter the car could still be at the bar where I got drunk and took an uber home last night. In which case walking or driving would both be stupid.
Or perhaps I’m in a wheelchair, in which case I wouldn’t really be ‘walking’.
Or maybe the car wash that is 50 meters away is no longer operating, so even if I walked or drove there, I still wouldn’t be able to walk my car.
Is the car wash self serve or one of the automatic ones? If it’s self serve what type of currency does it take? Does it only take coins or does it take card as well? If it takes coins, is there a change machine out front? Does the change machine take card or only bills? Do I even have my wallet on me?
There are so many details left out of this question that nobody could possibly fathom an answer!
…/s if it’s not obvious
The reason why your /s is there is for the same reason the question made no sense.
I’m not sure I follow your logic. My /s is there because tone can be ambiguous within text. I don’t think tone is relevant to the question. Do you think that a tone indicator would have made the question more clear?
The point is that all the information is either present or implied in the question. You can spend all day nitpicking the ambiguity of questions all you want, but it doesn’t get you anywhere. There comes a point where it gets exhaustive trying to preemptively cut off follow up questions and make clarifications.
When you are in school and they give you a word problem such as “you have 10 apples and give 3 to your friend. How many do you have left?” It is generally agreed upon what the question is asking. It’s intentionally obtuse to sit there and say the question is flawed because you may have misplaced some of your apples, or given some to another friend, or someone may have come and stolen some, or some may have started to rot and so you threw them out, or perhaps you miscounted and you didn’t actually give 3 to your friend.
The point is the question is never one you would actually ask anyone. It definitely is unlike the math question you presented.
It isn’t nitpicking. The weights and stats in the model would never have been trained on this, because nobody would ask it. Why would anyone ask “should I walk or drive” to get to a carwash?
Any reasonable person should assume it is a trick question. Because of course there is a car there, do you really need to ask if it needs to be driven there?
It almost comes off as a riddle, but isnt, so you get results about saving gas and getting excersise.
I mean how many people know the answer to this:
And yet AI will get it right, nearly instantly. Because the training data statistically leads to the correct answer.