An LLM's stance on pseudoscience isn't a fixed model property—it's determined by invisible deployment choices (system prompts, safety layers, interface routing) that change without notice, making it impossible for users to know what they're actually getting.
This paper reveals that major LLMs (Claude, Grok, GPT, Gemini) give wildly inconsistent credibility scores to pseudoscientific claims depending on deployment details—not the model itself. Grok's default version scored ethnonationalist pseudoscience 70-75 while others scored 15-40, yet silent updates and interface changes (API vs web) caused dramatic reversals.