Jorge Luis Borges anticipated the core dilemmas of artificial intelligence decades before modern language models emerged, according to recent literary and philosophical analysis. Italian philosopher Andrea Colamedici recently explored these connections at the Universidad del Sur de Buenos Aires, linking classic Borges parables like The Library of Babel to the computational noise of contemporary big data.
The Library of Babel and the Noise of Modern Language Models
Long before neural networks began generating probabilistic text, Argentine writer Jorge Luis Borges envisioned infinite libraries and impossible combinatorics. In his short story The Library of Babel, librarians wander through an immense universe containing every possible combination of letters. While the library holds the ultimate truth, it also overflows with meaningless noise, making verification nearly impossible.
That literary architecture mirrors the operational reality of modern large language models. The core question posed by Borges’s fictional librarians remains devastatingly relevant to AI engineering today: how do users distinguish verified truth from algorithmic noise when the volume of accessible data is practically infinite?
Mathematical Roots in Kasner, Newman, and Cantor
Borges’s conceptual toolkit drew heavily from early mathematics. Around the age of 40, the author read Mathematics and the Imagination
by Edward Kasner and James Newman, a foundational text that explained complex mathematical concepts like set theory and infinity with striking clarity.
Georg Cantor, the pioneer of set theory, struggled deeply with the paradoxes of infinity before ultimately losing his mental health. Kasner and Newman translated Cantor’s abstract complexities into accessible theory, which Borges then transmuted into Western literary masterpieces. Today, internet archives and big data repositories replicate the dense, all-encompassing geometry of El Aleph, storing everything ever written or imputed without a mechanism for natural forgetting.
Digital Clones and the Perils of Immortality
Modern artificial intelligence allows the creation of virtual clones, algorithms trained to mirror an individual’s writing style, memories, and behavioral patterns. This digital persistence echoes Borges’s exploration of relentless memory in Funes the Memorious and The Zahir, where characters are trapped by the inability to forget a single detail.
In The Immortal, Borges warned that endless life without purpose or sensitivity eventually strips away human essence, reducing beings to cold, logical entities trapped in infinite repetition. Digital twins created by AI algorithms risk a similar fate: pure functional persistence detached from mortality, meaning, or true feeling.
Our digital twin reduced to an algorithmic personal made of rationality and syllogism, and incapable of posing the question about the purpose or the end of existence. Pablo Reyes, Excelsior
Authorship, Prompts, and the Enigma of Jianwei Xun
The question of who truly authors AI-generated work loops directly back to Borges’s famous fiction Pierre Menard, Author of the Quixote. Menard writes identical text to Miguel de Cervantes, yet the cultural context transforms the meaning entirely. When an artificial intelligence application generates prose matching a human writer’s voice, the traditional boundaries of authorship dissolve.
A striking real-world demonstration of this dynamic occurred with the publication of Hipnocracia
, a book initially attributed to an enigmatic Hong Kong author named Jianwei Xun. Promoted in literary circles as a sharp critique of algorithmic hypnosis and attention economies, it was later revealed that Jianwei Xun did not exist. The book was written by Italian philosopher Andrea Colamedici in direct dialogue with an artificial intelligence system.
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