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Codex model shows strong "cartograph" bias in creative title generation

A user observed that OpenAI's Codex model, specifically GPT-5.6 Luna, consistently produced titles containing the word "cartograph" when prompted to invent a literary novel title. Across 200 attempts, 199 responses included variations of this word, and even when the context was significantly reduced, the pattern persisted in 198 out of 200 trials. Other models, like Claude Sonnet, showed different repetitive tendencies, while one specific title, "The Cartographer of Lost Hours," appeared an unusual number of times across multiple models and companies. AI

IMPACT Highlights potential biases or emergent properties in LLMs, prompting further investigation into training data and sampling mechanisms.

RANK_REASON User observation and anecdotal testing of model behavior, not a formal release or benchmark.

Read on r/OpenAI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Codex model shows strong "cartograph" bias in creative title generation

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User observation and anecdotal testing of model behavior, not a formal release or benchmark.
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Full methodology in our editorial standards.

COVERAGE [1]

  1. r/OpenAI TIER_2 English(EN) · /u/Amine-LG ·

    Ran the same one-line prompt through Codex 200 times. 199 answers had the same word. Stripped the context down, ran it again: 198/200.

    <table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1wb9jx7/ran_the_same_oneline_prompt_through_codex_200/"> <img alt="Ran the same one-line prompt through Codex 200 times. 199 answers had the same word. Stripped the context down, ran it again: 198/200." src="https…