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This achievement signifies more than just a technological feat; it highlights the growing prowess of artificial intelligence (AI) in areas once thought to be exclusive to humans. According to Dr. Jim Fan, a Stanford PhD and senior AI scientist at Nvidia, this success is rooted in training neural networks in vast simulated environments and then fine-tuning them through real-world data. He posits that this paradigm—large-scale simulation combined with real-world adjustments—is crucial in moving toward the development of generalist robots capable of handling a variety of tasks in diverse environments.