It doesn’t have to—Specialized deployments will lead to better performance. You can create custom processors for specific tasks, and create custom software optimized for that particular task. That’s different from having the flexibility of generalizing. A deep neural network might be trained on chess but it can’t suddenly start performing well on image classification without losing significant ability and performance.
Sorry, I think it is not clear what I meant. What I want to say is that a godlike machine might have important limitations we are not aware, especially when dealing with systems as complex, chaotic and unpredictable as the external world. If someone said to me, the machine will win the game no matter what, I would say that there are games so hard that cannot be really won, and if the risk of attacking is being attacked yourself, a machine might decide not to. EY premise is based on a machine that is almighty, I am denying this possibility.
It doesn’t have to—Specialized deployments will lead to better performance. You can create custom processors for specific tasks, and create custom software optimized for that particular task. That’s different from having the flexibility of generalizing. A deep neural network might be trained on chess but it can’t suddenly start performing well on image classification without losing significant ability and performance.
Sorry, I think it is not clear what I meant. What I want to say is that a godlike machine might have important limitations we are not aware, especially when dealing with systems as complex, chaotic and unpredictable as the external world. If someone said to me, the machine will win the game no matter what, I would say that there are games so hard that cannot be really won, and if the risk of attacking is being attacked yourself, a machine might decide not to. EY premise is based on a machine that is almighty, I am denying this possibility.