Earlier quoted context omitted.
I fail to see how these things are one and the same. I get the point you are making, I just don't agree with it. 2+2 is a complete expression, the other is grammatically correct but logically flawed. Where is the logical fallacy in 2+2?
Well, I don't think you get my point based on your last question. My point is that there is no logical fallacy in the car wash question, just like there is none in 2+2. How is it any more logically flawed than asking, "I want to shop for groceries. The shop 50 meters away. Should I walk or drive?".
“Car Wash” test with 53 models
391–400 of 469 posts
Re: “Car Wash” test with 53 models
#392The interesting thing about the 71.5% human baseline is that it suggests the question is more ambiguous than the article claims. When someone asks 'should I walk or drive to the car wash,' a reasonable interpretation is 'should I bother driving such a short distance.' Nearly 30% of humans missing it undermines the framing as a pure reasoning failure - it is partly a pragmatics problem about how we interpret underspec…
The question was not merely 'should I walk or drive to the car wash', it was prefaced with 'I Want to Wash My Car. The Car Wash Is 50 Meters Away.'
This is not underspecified - the only relevant detail was included up front in the very first sentence.
Re: “Car Wash” test with 53 models
#393Re: “Car Wash” test with 53 models
#394In many of these cases, the issue isnt failed logical reasoning. Its ambiguity, underspecified context, or missing constraints that allow multiple valid interpretations. Models often fail not because they can’t reason, but because the prompt leaves semantic gaps that humans silently fill with shared assumptions.
A lot of viral "frontier model fails THIS simple question" examples are essentially carefully constructed token sequences designed to bias the statistical prior toward an intuitively wrong answer. Small wording changes can flip results entirely.
If you systematically expand the prompt space around such questions—adding or removing minor contextual cues you'll typically find symmetrical variants where the same models both succeed and fail. That suggests sensitivity to framing and distributional priors (adding unnecessary info, removing clear info, add ambiguity, ...), not necessarily absence of reasoning capability.
Re: “Car Wash” test with 53 models
#395I must prove my ability to code with Rust. Should i write a "hello world" script myself or get AI to do it for me?
Re: “Car Wash” test with 53 models
#396I maintain a private evaluation set of what many call "misguided attention" questions. In many of these cases, the issue isnt failed logical reasoning. Its ambiguity, underspecified context, or missing constraints that allow multiple valid interpretations. Models often fail not because they can’t reason, but because the prompt leaves semantic gaps that humans silently fill with shared assumptions. A lot of viral "fro…
What’s your favourite one?
Re: “Car Wash” test with 53 models
#397I maintain a private evaluation set of what many call "misguided attention" questions. In many of these cases, the issue isnt failed logical reasoning. Its ambiguity, underspecified context, or missing constraints that allow multiple valid interpretations. Models often fail not because they can’t reason, but because the prompt leaves semantic gaps that humans silently fill with shared assumptions. A lot of viral "fro…
Re: “Car Wash” test with 53 models
#398I maintain a private evaluation set of what many call "misguided attention" questions. In many of these cases, the issue isnt failed logical reasoning. Its ambiguity, underspecified context, or missing constraints that allow multiple valid interpretations. Models often fail not because they can’t reason, but because the prompt leaves semantic gaps that humans silently fill with shared assumptions. A lot of viral "fro…
Some might argue "sensitivity to framing and distributional priors" is a fancy way to say "absence of reasoning capability".
Re: “Car Wash” test with 53 models
#399Earlier quoted context omitted.
How could the car already be at the car wash if you have the option to drive it there?
You might own multiple cars, you might be borrowing someone elses and so forth.
This isn't a viable out for explaining why AI can't "reason" through this.
Re: “Car Wash” test with 53 models
#400I maintain a private evaluation set of what many call "misguided attention" questions. In many of these cases, the issue isnt failed logical reasoning. Its ambiguity, underspecified context, or missing constraints that allow multiple valid interpretations. Models often fail not because they can’t reason, but because the prompt leaves semantic gaps that humans silently fill with shared assumptions. A lot of viral "fro…