AI重大发现：最先进视觉模型在基础视觉推理能力上仍显不足
来自德国达姆施塔特工业大学的最新研究揭示了一个令人深思的现象:即便是当前最先进的AI图像模型，在面对简单的视觉推理任务时也会出现明显失误。这项研究结果对AI视觉能力的评估标准提出了新的思考。研究团队采用了由俄罗斯科学家Michail Bongard设计的Bongard问题作为测试工具。这类视觉谜题由12张简单图像组成，分为两组，要求识别出区分这两组的规则。对于大多数人来说，这种抽象推理任务并不困难，但AI模型的表现却令人意外。即便是目前被认为最先进的多模态模型GPT-4o，在100个
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