The last version to fail on those questions was GPT 4.5.

Meanwhile most humans fail to correctly answer how many f's are in the sentence, "Finished files are the result of years of scientific study combined with the experience of many years.".

A lot of movies gave the impression that making phone calls and balancing checkbooks would be the easiest tasks for consumer AI to solve, while math and science might require exceedingly advanced AI. Turns out to be the opposite: computers are great at math and bad at conversation.

> "how many r's in strawberry" or "s's in espresso".

And what percentage of your red retina receptors are firing?

The "number of letters" critique was broken before it was introduced the first time. The models were specifically designed with preprocessing to not be able to perceive their input as strings of letters. Blind people are not dumb. (True as a pun and in context.)

Sub-access sensory questions, or do-you-know-a-fact questions (which is what spelling becomes when you can't see the letters, and are not specifically trained to match all token encoded words to their letters) are not intelligence questions.

These are like saying someone isn’t human because they have a speech impediment or an auditory processing disorder.

AGI doesn’t mean infallible, it just means it can have a reasonable crack at things it hasn’t seen or done before.

I'm going to go out on a limb and guess that there are plenty of savants who can't tell you how many r's are in strawberry.

> gaslight about answers to questions like "how many r's in strawberry" or "s's in espresso".

this has been debunked too many times to bother rebutting. they struggle with those things because of the way they are.

it's completely irrelevant.