We know that artificial intelligence (AI) can’t think the same way as a person, but new research has revealed how this difference might affect AI’s decision-making, leading to real-world ramifications humans might be unprepared for.
The study, published Feb. 2025 in the journal Transactions on Machine Learning Research, examined how well large language models (LLMs) can form analogies.
They found that in both simple letter-string analogies and digital matrix problems — where the task was to complete a matrix by identifying the missing digit — humans performed well but AI performance declined sharply.
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