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| Format: | Recurso digital |
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Zenodo
2026
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| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.5281/zenodo.20005013 |
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Inhaltsangabe:
- <p>This paper presents a micro-ethnographic analysis of a public critique directed at a deterministic computational framework for quantum error correction (QEC). The critique applies probabilistic reasoning—specifically arguments regarding hash collision uncertainty and output non-guarantees—to a system explicitly designed to eliminate stochastic behavior through canonicalization and replay constraints.</p> <p>We demonstrate that the critique fails not due to incorrect internal logic, but due to a category error: the misclassification of a deterministic system as a probabilistic one. This distinction is demonstrated through a concrete interaction and formalized as a recurring failure mode in AI discourse.</p> <p>This case highlights a broader epistemic issue in contemporary AI discourse, where machine learning assumptions are incorrectly generalized to fundamentally different computational paradigms.</p>