Intelligence is not artificial… so why expect leading technology to be?

During the creation of the computer, a key element was forgotten. This led to the formation of an error; an error that has not only gone undetected for decades, but this error ensures that machines cannot understand or think. Why? Because this error forces the mind to perceive a world that doesn’t exist. The mind conceives a world that contradicts the real word which the mind is supposed to understand. This error is about existence, or how the mind conceives the existence of all those things around it.

Imagine a cat resting, and next to it, another identical cat resting in the same position. Our minds have no problem telling them apart. One is on the left, the other on the right. We can even count them, 1 and 2. That is because our minds have a basic understanding of mass and space. However, if our minds were to use only words, as current AI does; then we couldn’t tell them apart. Why? Because the word cat is always spelled the same way, C-A-T. In English there is one word “cat'“ that repeats many times. As a result, using words, there is only one cat in two places at once. What if we count the words? That wouldn’t work either for we just used the word cat more than twice. How about images, which is the other thing current AI uses? If the images are identical, as the word cat is always identical, then again there is one image, or one cat, in two places at once. What if we count the images? If we blink, move, or one of the cats moves, we would have more images, which again, results in the wrong number of cats.

Inspired by this error we found the only solution: neural abstractions. Neural abstractions are the mental representations of mass, time, space and a few other things that machines need to truly understand and think, like we do.