“消耗能量”
用英语怎么说？

Today, large models learn by predicting the next word across huge amounts of text. Some scientists believe that predicting words accurately is closely linked to general intelligence. However, human thought may be quite different from machine calculations. When people think, many different brain regions become active, not just the areas connected to language. Our minds also rely on real memories, feelings, and lived experiences. Furthermore, the human brain learns to communicate easily without needing to consume energy on a massive scale. Therefore, while attention is an effective mechanism for computers, it does not explain the full mystery of human cognition.

如今，大型模型通过在海量文本中预测下一个单词来进行学习。一些科学家认为，准确预测单词与通用智能紧密相连。然而，人类思维可能与机器计算截然不同。当人们思考时，许多不同的大脑区域都会活跃起来，而不仅仅是与语言相连的区域。我们的大脑还依赖于真实的记忆、感受和生活经历。此外，人类大脑学会轻松交流，而不需要大规模地消耗能量。因此，尽管注意力对计算机而言是一种有效的机制，但它并不能解释人类认知的全部奥秘。