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2026-03-20
17:31
Latest Analysis: Random Priming Boosts LLM Idea Diversity by Targeting Start and End Tokens

According to @emollick, adding random priming phrases and partial end-word fragments to prompts can increase idea diversity because large language models weigh the beginning and ending tokens more heavily, pushing outputs toward novelty; as reported by Ethan Mollick citing the research hub at gking.harvard.edu/quest, this technique offers a low-cost way for teams to generate more varied concepts from similar prompts and can be operationalized in brainstorming workflows, A/B test pipelines, and creative ideation tools.

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