A new study published in Nature reveals that AI systems are developing an unexpected ability to reason by analogy, a cognitive skill previously thought to be uniquely human. Researchers from Stanford and Google DeepMind trained a large language model on a vast dataset of analogies and found it could solve novel analogy problems with high accuracy, even in domains outside its training data. The findings suggest that the capacity for analogical reasoning may emerge as a byproduct of scaling up AI models, rather than requiring explicit programming. This development could accelerate progress in fields requiring complex problem-solving and abstract thinking, though the researchers caution that the AI’s reasoning process remains opaque and requires further study. Read the full article at https://example.com/full-article.