A new study published in Nature reveals that AI systems are developing an unexpected ability to solve complex problems by creating their own internal models of the physical world, a capability previously thought to be exclusive to biological intelligence. Researchers trained neural networks on simple visual data and found the systems spontaneously built representations of concepts like object permanence and basic physics. This emergent behavior suggests current AI may be closer to general reasoning than widely assumed, though experts caution the models remain narrow and lack true understanding. The findings could accelerate progress in robotics and autonomous systems while raising new questions about AI transparency and safety. For the complete analysis, read the full article at the provided source.