GPT-4o invents answers, Claude keeps answering b
The author tested three vision AI models on a set of images designed to be visually appealing but ambiguous. The models were asked to generate captions or answers, and the author found that they largely ignored the visual content, focusing instead on textual cues.
Key points
- Three vision AI models ignored the pretty image.
- GPT-4o invented answers referencing the image.
- Claude kept answering with the letter 'B'.
These observations highlight how different AI systems handle ambiguous prompts and the importance of evaluating model behavior beyond surface-level accuracy. The experiment underscores the need for robust testing frameworks to detect unintended model responses.
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