Machines do not really "understand" words the way humans do. Rather, they develop responses by analyzing vast amounts of text and learning statistical patterns. This lets ...
Machines do not really "understand" words the way humans do. Rather, they develop responses by analyzing vast amounts of text and learning statistical patterns. This lets them use language that makes sense and fits the situation, but their knowledge isn't conscious or semantic; it's based on patterns. They lack the three essential components of human understanding—awareness, intention, and deep meaning comprehension. Therefore, rather than actually having comprehension, machines imitate it.