Humans process photons, but only after converting them into nerve impulses via photoreceptor cells in the retina, which are sensitive to wavelengths ranges described as "red", "green" or "blue".

As a result, humans are not very good at distinguishing different spectra that happen to result in the same nerve impulses. That information was lost by the conversion from photons to nerve impulses. Sensors like the AS7341 that have more than 3 color channels are much better at this task.

Except that "http" should be "https". Silly humans, claiming to be intelligent when they can't even tokenize strings correctly.

I suspect we might find that adding in the multimodal visual and audio aspects to the model gives these models a much better basis for mental arithmetic and counting.

Most LLMs can just pass the string to an tool to count it to bypass it's built in limitations.

Does a blind man not understand quantity because you asked him how many apples are in front of him and he failed ?

The stuff that comes easy to us, like navigating 3D space, was trained by billions of years of evolution. The hard stuff, like language and calculus, is new stuff we've only recently become capable of, seemingly by evolutionary accident, and aren't very naturally good at. We need rigorous academic training at it that's rarely very successful (there's only so many people with the random brain creases to be a von Neumann or Einstein), so we're impressed by it.

>That's not much of an excuse, computers exist because they do the things humans can't do very well like following long repetitive lists of instructions.

Computers exist because they are useful, nothing more and nothing less. If they were useful in a completely different way, they would still exist and be used.