Magic, Madness, Heaven, Sin: LLM Output Diversity is Everything, Everywhere, All at Once

Research on Large Language Models (LLMs) studies output variation across generation, reasoning, alignment, and representational analysis, often under the umbrella of "diversity." Yet the terminology remains fragmented, largely because the normative objectives underlying tasks are rarely made explicit. We introduce the Magic, Madness, Heaven, Sin framework, which models output variation along a homogeneity-heterogeneity axis, where valuation is determined by the task and its normative objective.

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ethics.ai (2 April 2026), “Magic, Madness, Heaven, Sin: LLM Output Diversity is Everything, Everywhere, All at Once,” evidence record 6478, https://ethics.ai/record/6478 (originally published by arXiv).

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