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Plain colored shapes in prompts shift AI models' coding choices, DeepMind and Stanford find

1 article1 sourcesince Nov 3Last article 2h ago ·

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A Google DeepMind and Stanford paper reports that adding a plain colored shape to a coding prompt changed how three models solved a problem.

Across 288 shapes, the study tracked how often Claude Opus 4.7, Gemini 3.1 Pro and GPT-5.4 chose recursion. Per Rohan Paul's account of the paper, a red heart moved Claude Opus 4.7 and GPT-5.4 from 0% to 100% recursive solutions on a binary tree problem.

The paper also reports that 71.5% of Gemini 3.1 Pro's steered thinking traces called the image irrelevant.

Written by AI from the articles below · updated Nov 3, 11:27 AM ET

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Nov 3
  1. Rohan PaulX
    Google DeepMind and Stanford find simple shapes in prompts steer AI coding choices

    AIA Google DeepMind and Stanford paper reports that adding a plain colored shape, such as a red heart, to a coding prompt changed how models solved a problem. Across 288 shapes, the study tracked how often Claude Opus 4.7, Gemini 3.1 Pro, and GPT-5.4 chose recursion. A red heart moved Claude Opus 4.7 and GPT-5.4 from 0% to 100% recursive solutions on a binary tree problem, and 71.5% of Gemini 3.1 Pro's thinking traces that were steered called the image irrelevant.

    Image from @rohanpaul_ai's post

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