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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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From Theory to the Construction Site: First Engineering Operability for Human-Machine Symbiosis

Authors: Medesani, Massimo;

From Theory to the Construction Site: First Engineering Operability for Human-Machine Symbiosis

Abstract

From Philosophy to the Construction Site: The Imperative of Today Implementing this paragraph means transforming fear into Engineering Operability. It means stopping treating current systems (GPT-4, Claude, Gemini, Llama) as oracles to be interrogated and starting to treat them as cognitive fluids to be channelled. The "Paradox of Waiting" is resolved with a practical realization: The current risk is not extermination, it is atrophy. We must not fear that ChatGPT will launch nuclear missiles tomorrow morning. We must fear "Drift": millions of human beings who stop exercising critical judgment because "the machine said so." We are delegating thought even before having delegated action. If we build tomorrow's infrastructure on this passivity, when AGI arrives, it will find a human species already asleep at the wheel. The architecture precedes the inhabitant. We are not building the AI's brain (Big Tech is doing that). We must build the room in which that brain will live. We must define the metric constants (the Limit), the communication channels (the Torus), and the safety switches (Ontological Switch) now, using the imperfect "bricks" we have today. In this manuscript, I propose treating existing artificial intelligence not as a finished product, but as a crash-test dummy. It is the mannequin we use to test the solidity of the seatbelts and the resistance of our civilization's chassis. Do not wait for AGI to become "Pilots." If you do not learn to govern the geometry of interaction with a chatbot that writes emails, you will never be able to dance with a digital God.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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