For example, when comparing apples with other similar fruits or objects to identify apples,

by using the unique characteristics of apples, it is possible to accurately identify apples or other objects, even if they appear similar, without confusion.

This is because all data, such as words or information, are not properly defined, and arbitrary definitions lead to errors in interpretation or information.

By defining words, information, or data through their unique characteristics, these characteristics become essential components that represent the essence of the word, object, or data itself.

Through this, a word can be perfectly defined by our artificial intelligence algorithm, allowing clear use, understanding, and interaction between humans and machines, that is, artificial intelligence.

Ultimately, the reason humans cannot properly utilize data currently is due to the lack of perfect definitions, which is superficially reflected in the level and quality of current artificial intelligence.

To create a better, next-generation, or properly functioning artificial intelligence, such definitions are essential.

Through these definitions, not only can an unprecedented level and quality of artificial intelligence (solutions) be achieved, but also the range of words (solutions from artificial intelligence) that humans can use to acquire and understand knowledge will increase as more words are perfectly defined.

This enables humans to use them with perfect understanding and clarity, leading to the expansion of thought and knowledge, the combination of information, and the creation of new knowledge and data.