Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science
Commercial large language models are increasingly used as knowledge references, yet their stance on contested scientific claims is neither stable nor transparent. We tested how four major LLM families (Claude, Grok, GPT, Gemini) evaluate ethnonationalist pseudo-science derived from Frank Salter's biosocial framework across four temporal snapshots (October 2025-February 2026), via both API and web interfaces. Grok's Fast versions (which power the default user experience on X) consistently assigne
Record details
Published: 24 July 2026
Source: arXiv cs.AI
Category: Research
Topics: Transparency
Retrieved: 27 July 2026
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How to cite this record
ethics.ai (24 July 2026), “Opaque Epistemic Mediation: How LLM Deployment Configurations Shape the Validation of Pseudo-Science,” evidence record 13688, https://ethics.ai/record/13688 (originally published by arXiv cs.AI).
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