Summary
An experiment tested four frontier multimodal AI models on their ability to appraise art from vision alone, using 15 high-value paintings. The study found a "recognition vs. commitment gap," where models could often identify the artwork or artist from pixels but struggled to translate that recognition into a confident valuation. This indicates current AI models can recognize art but lack the deeper understanding required for accurate appraisal.
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