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

We discovered a world full of crucial elements that are not only missing from current AI (machines that repeat), but that they are exactly what machines need to reach AGI (machines that understand and think like we do). Without these elements, the mind, human or not, cannot understand or think. Why? Because without these elements, the mind conceives a world that doesn’t exist. Instead, it conceives a world that contradicts the real word which the mind is supposed to comprehend.

The purpose of these crucial elements is to bring things into existence, or how the mind conceives 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 cat is on the left, the other cat is 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 never changes; it 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 that repeats, or 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 that repeats, 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, wrongly results in more 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.