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The Operator. AI art Introduction In an era of artificial intelligence fluent in natural language, our understanding of meaning and expression is being reconfigured. Beneath the surface of text generation lies a complex mechanism—one that does not simply retrieve stored content, but instead constructs responses by navigating a dynamic space of structured influence. Surprisingly, this computational process echoes a radically philosophical account of language. Jacques Derrida’s theory of différance , arche-writing , and the trace —originally aimed at dismantling metaphysical assumptions in Western thought—offers an unexpected framework to grasp how today’s language models operate. These philosophical insights do more than metaphorically resemble neural architectures; they expose the deep structure of signification in systems that appear to lack memory, intention, or voice. Through a deconstructive lens, the workings of large language models (LLMs) can be read not as mechanical output...

Introduction André Martinet’s article The Word challenges the conventional understanding of words as fixed linguistic units. Across languages, the concept of a "word" varies significantly, yet writing has reinforced the perception of words as stable entities. Mechanical translation further contributed to this illusion by treating words as discrete units with direct one-to-one correspondences across languages. However, modern AI-based language models, which process language in more nuanced ways, lend support to his functionalist perspective. This article explores Martinet’s argument by tracing the evolution of how language is conceptualized—from early scriptio continua, to machine translation, to the contemporary role of AI in text processing. By doing so, we uncover how recent technological advancements reaffirm his claim that linguistic units must be analyzed beyond the apparent boundaries of words. The Concept of "Word" Across Languages One of Martinet’s ...