The implication is that humans are unreliable and shouldn't be trusted.
Or humans have certain shorthands when they complain on reddit, but their diagnoses are accurate for the specific context? If my AI does something stupid, am I not allowed to call it out? A NS-solving AI is still capable of not satisfying the abstract thing called the user experience. People have intelligent thoughts without compiling to lean.
OK, you say. Then let's get an aggregate benchmark for "intelligence". That doesn't prove that AI didn't flounder a specific use case that the user requested.
Classic moves: Humans are unreliable, converge to some "objective" benchmark that necessarily will quotient out the special cases, etc. Wonder how we'll be solving these issues in the AGI era - well, if you have an AGI that just replicates itself, dominates everybody because it's a machine and humans are soft fleshy creatures, and agrees with itself, fine. But part of the beauty of human experience is the messy part, and providing value is in the messy part.
The need to have a mental measure of competence for your fellow man is, most likely, a pre-human skill, probably with a dedicated bit of neurons for it. I think the problem is that those instincts were co-evolved with our fellow man, and, as you say, don't apply at all to a more non-deterministic system that, fundamentally, lacks some logic faculties that even small children have (simple riddle modifications, car wash question, etc).
At the end of the day the highest quality of benchmark tells you nothing if the man behind the curtain is constantly changing variables on you. You have no idea if you're really testing the same thing at all. So when you run your test at the top level on their system you're seeing lets say a 30% difference in quality most of the time, you have no idea if you should really only see a 5% difference in quality if you were running a local model with stable settings.