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      <title>Pluralistic Alignment: One Model, Many Values</title>
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      <description>RLHF optimizes for an average human preference — but humans disagree. The Artificial Hivemind problem, counterfactual alignment, and why one-size-fits-all safety is a design choice we should question.</description>
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      <title>Does RL Actually Make LLMs Reason Better?</title>
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      <description>The evidence is more complicated than the hype suggests. RL improves sampling efficiency but may not expand reasoning capacity — and longer chains of thought don&amp;rsquo;t always help.</description>
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