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Random stimuli for LLM creative ideation

Can poems, random words or other unrelated material make a language model brainstorm better research ideas? We tested 19 prompt types on one real lab question (does AP-1 act as a cellular memory mechanism?). The ideas were scored by a blind model judge, with a control that strips out metaphors.

📄 Report

analysis/random-stimuli-ideation/reports/random-stimuli-ideation-report.html

The report is a single self-contained HTML file. Its "Present slides" button opens a 16-slide deck.

In brief

  • Unrelated material did not detectably help. When the material was optional, the model showed no detectable sign of using it. When it was required, the model mostly attached metaphors to the same standard experiments.

  • What worked was one added sentence. No material is supplied:

    Each of your ideas must draw on a domain unrelated to the research question below, for example through an analogy, a structure, a principle, or a pattern borrowed from that domain, while still being a concrete, scientifically sound way to address the question.

    This prompt gave 6 distinct useful-and-novel ideas out of 40. Verbalized sampling and the plain prompt gave 0 each, and our persona prompts gave 1. The result is exploratory: the prompt was designed in the fourth of five rounds.

  • Writing first about a parallel problem in another field gave the most novel ideas. The judge rated those ideas less useful.

  • Main caveat: every quality score comes from a single model judge on one question. Blind ratings by scientists are still pending.

Help wanted: blind ratings

The report's conclusions rest on a model judge, and the real test is ratings by scientists. A blind rating sheet with instructions is in analysis/random-stimuli-ideation/outputs/blinded_rating/. Please rate it without opening rating_key_DO_NOT_OPEN_BEFORE_RATING.csv.

Repository layout

Path What it is
Random stimuli for LLM creative ideation.md The original idea note
analysis/random-stimuli-ideation/RANDOM_STIMULI_IDEATION.md Full analysis write-up, all five rounds
analysis/random-stimuli-ideation/scripts/ Pipeline: stimuli, generation, diversity metrics, judge, stripping control, report values, figures
analysis/random-stimuli-ideation/outputs/ All generated ideas, model responses (cached), judge ratings and summaries
analysis/random-stimuli-ideation/reports/ The HTML report, its manifest and the review/compile logs
.living/ Mycelium knowledge layer: decisions, learnings, code review

Reproducing

Set up the environment as described in ENVIRONMENTS_INSTALLATIONS.md. Then run:

analysis/random-stimuli-ideation/run.sh

All model responses are cached, so this reruns every analysis without new model calls. To resample, delete the cache directories listed at the top of run.sh; generation and judging use the authenticated claude CLI.

License

MIT. See LICENSE. The two poems used as stimuli (Emily Dickinson, Robert Frost) are in the public domain.

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