Missed encounters: what may be relevant for an AI is not for a human being

The World Wide Web has been a fundamental part of our daily lives for years. Its algorithmic framework ensnares our online journeys in an "endless recurrence" of the "same" by creating multiple filter bubbles. Digital algorithms establish a precise "order of discourse," leaving little to no room for deviation. Functioning as a colossal machinic apparatus, the web embodies the culmination of Artificial Intelligence (AI), transforming every piece of posted content into a database that profiles our online behavior and activities. This article explores whether approaches that describe everyday human communication, such as the theories of relevance developed by Alfred Schutz, or by Dan Sperber and Deirdre Wilson, can be applied to the realm of digital algorithmic grammars governing the web, and to the semiospheres that animate it. The conclusions raise some doubts: a gap exists between algorithmic language and its historical counterparts, characterized by a disparity between logical-mathematical grammar and other linguistic-historical-natural ones. While these two types of languages coexist within the digital landscape, their relevance differs; what may be "relevant" in an algebraic context may not necessarily translate to our live conversational exchanges, and vice versa. Although merged in the digital sphere, these languages operate distinctly, and proficiency in one does not guarantee adeptness in interpreting the other accurately.