Human beings have the ability to learn for ourselves, it seems that this is one of the causes of the success of our species. It seems that this ability, learning by itself, is what artificial intelligences have. Along with this ability, it seems that artificial intelligences have also received some errors from our learning. I at least have that problem, I often draw a conclusion with little information, I look for a shortcut. In this regard I have read in Quanta Magazin the example Anil ananthaswamy puts in his article: “Some artificial intelligences have shown that an animal on the grass is a cow, when they have learned for themselves.” In other words, designed to make the least effort, they have misunderstood reality.

And I've realized that in the learning process, there's one thing that sets us apart from artificial intelligences: experiences.

In a way, it seems to me that the way artificial intelligences learn is far (at the moment) from the complexity that an experience has. Artificial intelligences are in closed boxes that lack (at the moment) wind, smell, movement, sound, gaze, contact, etc. The experience is to be in the field, to see the animal, to touch it, to relate with it… Abstraction disappears with the experience, our way of learning is richer and more precise related to our living body. Meanwhile, artificial intelligence, at least today, is having a little cow experience.

With this reflection, what comes to mind is to bring our children and young people closer to a experiential education that links their living bodies to local realities, that allows them to be empowered and to better understand and influence their facts and needs. Nothing new, but still effective. If we use an inexperienced education, we will bring our children and young people closer to the level of artificial intelligence training.