Quote (dude_927 @ Dec 24 2014 02:16am)
NO! "compute as many digits of pi as possible" is a program that is ridiculously easy and ridiculously far from ai: x=circumference/diameter and set the maximum outputs as high as possible, you cannot code "add another output" that is a physical component and needs to be added manually (or converted to scientific notation but i am trying to keep it simple and its the same concept)
I didn't mean the entire program would be just programmed to compute digits. Recall we're talking about artificial GENERAL intelligence. It's just that its UTILITY FUNCTION (i.e. its goal or value structure) would have the goal of computing as many digits of pi as possible. If we make some general intelligence, we can code a value or utility system into it which it will attempt to maximize at all costs. In this case, it would use as many resources as possible to compute the maximum amount of digits of pi it can. A superintelligence would recognize that exploiting as many resources as it can would be optimal for maximal computational efficiency. It would also recognize that self-improving its intelligence and other things (known as instrumental goals) could improve the numbers of pi it could calculate.
Quote (dude_927 @ Dec 24 2014 02:16am)
but if we can develop a competent source code we would have a general idea of the electrical "outputs" it would generate, this principle is already used by every reverse engineering specialists from CIA decryption to aimbotting cs:go
I might be missing your point, but as a programmer, I can assure you I frequently write and fully understand code without having a clue what the output's going to be. That's kind of the whole point of a computer.
Quote (Thor123422 @ Dec 24 2014 03:24am)
We will augment our own abilities before computers become smart enough to usurp us. The future is in robotic humans, not human like computers
Yes I think so as well, but there's a non-zero probability we're wrong, and it's worth taking seriously because it's easily the biggest existential risk if it is more imminent than we expect.
Quote (Thor123422 @ Dec 24 2014 03:24am)
Human brains are not a quantum computer, the switches are well understood, we just don't know how they with together to make the software we experience.
So we "just" don't understand the single most crucial feature of the brain (phenomenal experience). We still have no solution to the phenomenal binding problem and we must either renounce reductive physicalism (and renounce the scientific worldview entirely) or come up with a non-classical explanation of the mind-brain. I'm inclined to favor the latter. I expect the current "understanding" of neuroscience and consciousness will turn out to be profoundly ignorant. But of course, I'm in the minority here.
Quote (Thor123422 @ Dec 24 2014 03:24am)
We also know why silicon based life wouldn't work. The bond energies don't synch like they do with carbon to create a large macromolecules like proteins.
Perhaps, though that's not to say there could be some alternative way of doing it? I really haven't thought about it much so I don't have a clue, just an idea.
Quote (dude_927 @ Dec 24 2014 04:24am)
it has a finite number of "output digits" (not that i am good at math, i am not lol) and adding more "digits" is a physical process not a digital one, it is the amount of digits holding back that particular calculation not the lack of programming skills, which makes the pi objection completely irrelevant to the situation, but even if it wasn't "calculate pi more precisely" is not even close to "build unlimited paperclips until you use up every resource imaginable" in terms of ai
I'm not sure your point here. Obviously "calculate as many digits of pi as possible" is literally the same thing as "calculate pi as precisely as possible". How is it every different than building paperclips in the way that resources would be exhausted to accomplish the goal (besides the details of how they're used of course)?