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Detaylı Bibliyografya
Yazar: Sophia, Franny Philos
Materyal Türü: Recurso digital
Dil:İngilizce
Baskı/Yayın Bilgisi: Zenodo 2026
Konular:
Online Erişim:https://doi.org/10.5281/zenodo.18814253
Etiketler: Etiketle
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İçindekiler:
  • <p>AI-assisted software development has made implementation nearly costless, exposing<br>specification and value-verification as the binding constraints on organizational throughput.<br>This paper identifies a further structural limit: the novelty wall. Synthetic<br>users—AI-generated models of user behavior trained on historical interaction data—can<br>interpolate within existing value spaces but cannot extrapolate to genuinely novel values.<br>This limitation is not a current capability gap but a structural consequence of statistical<br>learning from past distributions. We formalize this as the interpolation boundary: any<br>value-verification method that relies on models trained on historical data is structurally blind<br>to values that have no precedent in the training distribution. We then observe that even among<br>humans, the capacity to recognize novel value is rare—explaining the persistent social<br>function of value pioneers (influencers, fashion leaders, taste-makers) whose role is not<br>authority-based but value-delivery-based: they experience, recognize, and translate emergent<br>value into forms others can perceive. This analysis extends the Behavior Space Model's Axis<br>2 (specification-against-value verification) by demonstrating that the value-verification loop<br>requires not merely human experience but a specific, rare human capacity for novel value<br>recognition—a capacity that is structurally irreducible to computation. Three implications<br>follow: (1) the value-verification loop cannot be closed by synthetic users; (2) Bainbridge's<br>irony of automation applies recursively to the specification domain itself; (3) the social<br>infrastructure for novel value recognition is a non-automatable organizational asset. A fourth,<br>broader implication: wholesale displacement of human employment is not merely socially<br>costly but economically self-defeating—an economy restricted to interpolation within<br>existing value spaces has foreclosed its own capacity for innovation.</p>