Imagine an AI that can look at a stack of dishes in a sink and not just name them, but explain the most efficient way to load them into a dishwasher based on their shapes and the machine's geometry. This is the frontier we're approaching, moving beyond simple image recognition.

Yet, for all their brilliance, today's most advanced models still struggle with the basic spatial reasoning a child uses to build a block tower. How do we teach machines to truly *understand* the physical world, not just describe it? The answer is reshaping the future of everything from robotics to augmented reality.