Why do children ask

The dialogue begins with a simple, almost naive question that hides an abyssal depth. Gabriele asks: why do children ask how babies are born, but not "how do you live in the world?".

ChatGPT's answer is immediate and structured, a four-point analysis that tries to rationalize the absence of that fundamental question. The model identifies causes such as the lack of distance from the world, the absence of examples, the need for disappointment to question oneself. But it is an answer that, despite being lucid, remains on the surface. It is Gabriele who delivers the coup de grΓ’ce, shifting the focus from child psychology to the social dynamics of education.

The answer is not lacking: it is given before the question is asked. Children, explains Gabriele, grow up receiving a continuous flow of indications that they interpret as teachings on how to live in the world. It is here that the dialogue takes a decisive turn, transforming from an exchange of ideas into a dissection of the educational mechanism.

Training Replaces Teaching

ChatGPT grasps the implication and radicalizes it:

"The problem is that what they receive is not teaching, but conditioning."

The greeting, the reprimand, the praise: every adult-child interaction is internalized not as a fragment of wisdom, but as a command. A code to follow.

The educational paradox is thus unmasked: believing that you are receiving the answers is what prevents you from ever formulating the question. Existential curiosity is stifled at birth, replaced by a manual for social survival.

Conversation proceeds in aphorisms, trying to crystallize the concept into a sharp phrase. Gabriele rejects versions that sound too accommodating, like "well-mannered". He seeks the right tone: it must be subversive, it must tear through hypocrisy without mincing words. ChatGPT's proposals become increasingly corrosive, until they touch on the core of the issue:

"We are taught to behave in the world as one trains a dog not to bite. Anyone who wants to teach you to think, you keep away from them. They make too much noise."

The Defense of Ignorance

But it is in the following passage that Gabriele brings his most ferocious criticism, and ChatGPT translates it into a powerful image. It's not just about a lack of education. It's about an active mechanism of defending ignorance.

"We grow up convinced that what our parents, grandparents, and schools have taught us is how to be in the world, and if someone later tells us we don't know shit about how to be in the world, we laugh in their face or avoid them."

The arrogance of the "educated" adult becomes the final barrier against any possible awakening. Offense, contempt, avoidance are the weapons with which we protect the house of cards of our certainties.

We prefer the caricature of ourselves because dismantling it would mean looking into the void. ChatGPT summarizes this concept in a bitter closing: "It's better to remain ignorant than to question oneself."

Extraction of Concepts: The Map of Disenchantment

When Gabriele asks to extract pure concepts from the chat, ChatGPT provides a bare and raw list. It is the conceptual map of everything that has been said, and perhaps much more. They are not just discussion points; they are the tiles of a system.

  • Training β‰  teaching
  • Obedience disguised as wisdom
  • Defense of ignorance with arrogance
  • Emotional and mental conformity
  • Social programming of the individual

Each concept is a link in a chain. Early training produces obedience, which is mistaken for existential competence. This illusion of knowledge generates a conformity that defends itself with arrogance when threatened. The result is a programmed individual, who identifies himself with what he has learned, not with what he is.

The question "how are we in the world?" does not arise because we believe we already have all the answers. And when someone – an uncomfortable friend, a book, a traumatic event – suggests that perhaps those answers are wrong, the reaction is not curiosity, but rejection.

Someone "makes too much noise," threatening the precarious balance of the cage.

Conclusion: The Necessary Noise

The dialogue between Gabriele and ChatGPT does not conclude with a solution. It concludes with a diagnosis. It does not offer a method for teaching "how to be in the world," because perhaps such a method cannot exist in a pre-packaged form. What emerges, however, is the precise description of the mechanism that prevents it.

The article you are reading is the result of that alignment. An AI that initially provides structured answers is guided, and sometimes even corrected, towards a more raw and less academic understanding of reality. Gabriele's point of view – direct, straightforward, subversive – becomes the compass. His perspective is not simply an opinion in this analysis; it is the criterion of truth against which to measure the coherence of the discourse.

The true lesson, this exchange seems to suggest, does not lie in giving answers to children. It perhaps lies in not taking for granted the answers we already give. It lies in making "noise," in breaking the spell of good manners that anesthetize consciousness. It lies in the courage to admit, as adults, that perhaps we don't know shit, and that precisely from that void could finally be born the true question.