科学家证实大模型能像人类一样“理解”事物

Core Insights - Researchers from the Chinese Academy of Sciences have confirmed that multimodal large language models can learn to "understand" objects in a manner similar to humans, paving the way for future AI systems that can comprehend the world like humans do [1][2] Group 1: Research Findings - The study utilized a clever experiment based on human cognitive principles, where both a large model and humans played a "find the difference" game, analyzing data from 4.7 million judgments to create a "concept map" of the model's thinking [2] - The researchers identified 66 key perspectives on how AI "understands" objects, which align closely with the neural activity patterns in the human brain responsible for object processing [2] - The multimodal model's approach to "thinking" and making choices is found to be more similar to human cognition compared to other models [2] Group 2: Comparison with Human Understanding - While humans consider both the appearance and meaning of objects, the large model relies more on "text labels" and learned abstract concepts, indicating a development of a somewhat human-like understanding of the world [2]