Gorde:
| Egile nagusia: | |
|---|---|
| Formatua: | Recurso digital |
| Hizkuntza: | |
| Argitaratua: |
Zenodo
2026
|
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.5281/zenodo.20005013 |
| Etiketak: |
Etiketa erantsi
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|
| _version_ | 1866901981157654528 |
|---|---|
| author | Slade, Trent |
| author_facet | Slade, Trent |
| contents | <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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20005013 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Determinism vs. Probabilism in Public AI Discourse: A Micro-Ethnographic Case Study of Category Collapse in Computational Critique Slade, Trent deterministic systems canonical hashing reproducibility epistemology of AI category error computational ontology <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> |
| title | Determinism vs. Probabilism in Public AI Discourse: A Micro-Ethnographic Case Study of Category Collapse in Computational Critique |
| topic | deterministic systems canonical hashing reproducibility epistemology of AI category error computational ontology |
| url | https://doi.org/10.5281/zenodo.20005013 |