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 at Stanford University found that large language models, when trained on specific datasets, can solve analogy problems without explicit instruction, suggesting emergent reasoning capabilities. The findings challenge traditional views on machine intelligence and could influence future AI development, though experts caution that the systems still lack true understanding. The research team plans to investigate the underlying mechanisms and potential applications in education and complex problem-solving. Read the full article at https://technologyreview.com/2024/05/ai-analogy-reasoning-study.