Of course there are other reasons why having everything be "connected to the internet" (light switches, refrigerators, nuclear warheads) is probably not the wisest idea... would an AI with bad intentions really be any more harmful then a human being with bad intentions who had access to every interconnected thing?
Now, if that intelligence also far exceeds our own in certain aspects but is not empathetic enough, and if it were to have a keen understanding of how to control humans, and if it were much more able to quickly control and adapt software and hardware, then it would become a much bigger risk.
But, you're right- in theory, there could be a natural intelligence that could be the same level of risk as an artificial one. Most of us, including myself, are just not aware of one.
That's a thing I don't care for about most science-fiction. The AI entity can just magically take over every technology it's connected to, because magic. No concern about the computational complexity of breaking the code-signing certificates on the affected computers. It's like everything on the Internet of Things is hopelessly and completely insecure!
... okay now that I type that out, maybe that's more realistic than I gave it credit for after all ... :b
Of course, just adding another person doesn't necessarily make things go faster (mythical man-month and all that). But then again, just adding more hardware isn't going to necessarily make a brain in a box more powerful, either.
The very nature of human intelligence is such that its architecture, scale and speed of computation are all bound within a relatively narrow range.
Now as I said, "adding another person doesn't necessarily make things go faster." It can, but not always. But what evidence do we have that a human level AI would be able to scale easily? That seems to be a pretty huge assumption that gets glossed over.
The fact it would probably be software, executing on a digital platform. These things typically lend themselves to optimization and scaling.
Seems to me that the chance we'll have just enough computing power to run human-level AI—without sufficient resources to go beyond that—is a small one. It is far more likely that we will either have too little, or more than ample computing power available.
What evidence do you have that human-level AI won't scale easily?
The best argument I can think of in your favor would be prohibitive computational complexity requirements, but the aforementioned dynamic still applies—it's unlikely that we'd have only just enough computing power to achieve human-level and not go beyond that.
And that's just talking about a raw increase in computing power. We don't have any idea whether a human level intelligence program would even be able to put increased processing power to good use (and it could theoretically be detrimental; look at what happens to humans who have too many neuronal connections).
Simulating the brain isn't necessarily the path to human-level AGI though. Simulating biology in digital form tends to be inefficient.
Modern machine learning scales easily, or at least relatively easy.
>(and it could theoretically be detrimental; look at what happens to humans who have too many neuronal connections)
Perhaps a constraint of our brain's cognitive architecture and not intrinsic to cognition itself. Still, interesting point.
With an AI, you just dump that money directly into the brain by slapping on more compute power and storage. It'd be a direct increase in ability to its will. I'm not sure what exactly the raw costs would be (maybe it would still cost more than hiring a human), but at least it seems like it'd be a much more efficient use of each dollar.
It seems likely that the first simulated human level intelligences, at whatever point in the future they pop up, will at first be extremely costly and extremely slow. We don't really know if, say, connecting two supercomputers two simulate twice as many virtual neurons would make it more effective or if it would make it too unstable to do anything (how would a human brain with twice as many neurons react? It might just be mentally unstable and unproductive). But even a simple doubling experiment like that would probably take a long time to plan out and realize.