
Thefundamentalshiftinhowcontemporarymachinesprocesshumanlanguagerepresentsadeparturefromthehistoricalambitionofteachingcomputerstogenuinelyunderstandthecomplexnuancesofmeaning. Rather than pursuing the elusive goal of semantic comprehension, modern technological frameworks have pivoted toward a more pragmatic engineering workaround that treats communication as a sequence of probabilistic events. This transition, explored in the historical analysis of technology by scholars like Xiaochang Li, suggests that the “intelligence” perceived in modern systems is actually the result of highly sophisticated divination










