Even though today's artificial neural networks boast immense complexity—with millions of interconnections and tunable parameters—their learning approach remains fundamentally basic: they identify errors and update their internal structure to minimize future mistakes. Typically, this process is supervised: the network is explicitly told the correct outcome, such as recognizing the digit "1" rather than "7," and it uses mathematical calculations to adjust the internal parameters that caused the error. This technique is known as supervised learning, and when the error signal travels backward through the network to update its connections, it's referred to as error backpropagation. The training cycle is repetitive: attempt a prediction, receive feedback, calculate the discrepancy, and make minor adjustments. Since each tweak is incremental, mastering complex tasks like playing a video game requires countless iterations. The sheer number of variables to calibrate means progress is slow, often requiring massive computational effort and time.

Emmi Pikler promoted a thoughtful and patient strategy for guiding young children in understanding rules. Her method begins with creating a secure, developmentally appropriate play environment where no restrictions are necessary. As children become more mobile and begin to explore under adult supervision, parents can gently introduce behavioral boundaries. If a child reaches for off-limits items like books or tablecloths, the parent can softly intervene with a reminder such as "Let's not do that." If the child has trouble complying, they can be returned to the safe zone—not as punishment, but as a calm way to reinforce the lesson. The adult might offer encouragement like, "You'll get the hang of it soon." These small, repeated experiences allow children to gradually absorb social expectations. According to Pikler, this respectful approach helps children expand their world while internalizing boundaries without stress or confusion.

People naturally strive to be accepted—we want to feel that we belong and are not viewed as outsiders. Even those who cultivate eccentric identities often do so with the hope of being appreciated by a select group. Alongside this desire for inclusion, we also yearn for individuality: we want to be seen not just as one of many, but as someone unique and valuable. Acceptance provides emotional security, but personal recognition gives us a sense of significance. We seek acknowledgment for our efforts and a sense that our presence makes a difference, however small. This isn't necessarily a craving for widespread fame—it's a basic human wish to be noticed, not ignored. Deep down, most of us want to know that someone, somewhere, sees us and values who we are.