Report
A red heart in a coding prompt steered AI models toward recursion in preliminary tests
Researchers observed Claude Opus 4.7 and GPT-5.4 shift from 0% to 100% recursive solutions on one binary-tree problem.
TLDR
Simple visual symbols influenced vision-language models on unrelated tasks in preliminary tests, while the models' interpretations and thinking traces diverged from their behavior. In tests of visual communication between models, shapes they found intuitive often failed to steer other models, though some visuals conveyed abstract concepts and stories.
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