Large language models, especially in software and social systems, are rapidly expanding, a phenomenon known as the "textpocalypse." This change is not only associated with an increase in the volume of low-quality texts but also points to a kind of disintegration of language and text from real human experiences. In this context, the internet seems to be one of the first victims.
Language and Human Experience at Risk
Language, as a communicative and cultural tool, has always been dependent on human experiences and social contexts. With the emergence of large language models, this dependency is diminishing. These models can automatically generate texts, but do these productions truly represent human emotions and experiences? In fact, with the expansion of these technologies, texts may become devoid of depth and semantic richness, leading to the mass production of low-quality information.
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Social and Cultural Consequences
The consequences of these changes extend beyond language and communication. With the decline in the quality of language in the virtual space, the possibility of critical thinking and deep analysis also diminishes. This can lead to a reduction in participation and social interactions, consequently threatening the public and democratic space. Furthermore, this situation may affect how future generations learn and educate themselves, as the enthusiasm for deep learning and critical thinking decreases in the face of superficial and low-quality information.
Ultimately, these developments could lead to a crisis of trust among internet users. If people do not trust the content generated by large language models, they may turn to informal and unreliable information sources. This situation not only contributes to the spread of misinformation but can also weaken social and political institutions.
It seems that with the continued expansion of these technologies, the need to rethink how we use language and text in the digital space is increasingly felt. We must seek ways to bring language and communication closer to real human experiences and prevent the dangers arising from low-quality information.
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