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Cart![N.A.S.T.R.O. Learning: Neural Automatic System [for] Textual Reorganization [and] Output](/product/productimage/9798298017800.jpg)
N.A.S.T.R.O. Learning: Neural Automatic System [for] Textual Reorganization [and] Output
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ISBN13: 9798298017800
Publisher: Independently Published
Published: Aug 13 2025
Pages: 48
Weight: 0.13
Height: 0.12 Width: 5.00 Depth: 8.00
Language: English
Publisher: Independently Published
Published: Aug 13 2025
Pages: 48
Weight: 0.13
Height: 0.12 Width: 5.00 Depth: 8.00
Language: English
What happens when the author becomes a writer of instructions and delegates the synthesis of the text to a neural network?
In this experiment, the artificial intelligence neither amplifies nor replaces the human voice, but intercepts its coordinates. The author does not directly modify the generated texts: they intervene through further instructions, guiding the network through a series of iterations toward a final form. The process, not comparable to the well-known experiments of sought/found poetry, is based on a radical methodological fracture and on upstream control over the relationship between form, style, and instruction.
In this experiment, the artificial intelligence neither amplifies nor replaces the human voice, but intercepts its coordinates. The author does not directly modify the generated texts: they intervene through further instructions, guiding the network through a series of iterations toward a final form. The process, not comparable to the well-known experiments of sought/found poetry, is based on a radical methodological fracture and on upstream control over the relationship between form, style, and instruction.
The use of AI highlights two crucial aspects: on one hand, the increase in textual consistency and coherence over time; on the other, the surprising affinity between the generated texts and certain contemporary research-oriented writing. If a network can now simulate these outcomes, does it still make sense to explore these paths?
The included asemic pages offer an additional critical insight: although formally impeccable, they remain devoid of the technical and gestural complexity of human signs, which to this day cannot be imitated.
This project therefore does not merely document a dialogue between human and machine, but interrogates the current boundaries of writing.
In a nutshell, one could say that this book was not written by an AI model, but, in every part, through a suitably trained and guided AI model.
From a content perspective, the result is cohesive, animated by witty and sometimes surreal ideas, and suffused with a constant theoretical tension-made all the more remarkable by the fact that it arises from the author inviting the AI to reflect on its own generative dynamics and their conceptual implications.
The included asemic pages offer an additional critical insight: although formally impeccable, they remain devoid of the technical and gestural complexity of human signs, which to this day cannot be imitated.
This project therefore does not merely document a dialogue between human and machine, but interrogates the current boundaries of writing.
In a nutshell, one could say that this book was not written by an AI model, but, in every part, through a suitably trained and guided AI model.
From a content perspective, the result is cohesive, animated by witty and sometimes surreal ideas, and suffused with a constant theoretical tension-made all the more remarkable by the fact that it arises from the author inviting the AI to reflect on its own generative dynamics and their conceptual implications.
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