- There are something like 100,000,000,000 neurons in the human brain, each of which can have up to around 10,000 synaptic connections to other neurons. This is basically why the brain is so powerful.
- Modern CPUs have around 4,000,000,000 transistors, but Moore's law means that this number will just keep going up and up.
- Several decades from now (probably in the 2030s), the number of transistors will exceed the number of synaptic connections in a brain. This doesn't automatically make computers as "smart" as people, but many of the things that the human brains does well by brute-forcing them via parallelism will become very achievable.
- Once you have an AI that's effectively as "smart" as a human, you only have to wait 18 months for it to get twice as smart. And then again. And again. This is what "the singularity" means to some people.
The other form of this argument which I see in some places is that all you need is an AI which can increase its own intelligence and a lot of CPU cycles, and then you'll end up with an AI that's almost arbitrarily smart and powerful.
I don't hold these views myself, so hopefully someone with more information can step in to correct anything I've gotten wrong. (LessWrong.com seems to generally view AI as a potential extinction risk for humans, and from poking around I found a few pages such as http://lesswrong.com/lw/k37/ai_risk_new_executive_summary/)
I do understand where the notion of hockey-stick increases in intellectual ability comes from.
I do understand the concept that it's hard to predict what would come of "superintellectual" ability in some sort of synthetic intelligence. That we're in the dark about it, because we're intellectually limited.
I don't understand the transition from synthetic superintellectual capability to actual harm to humans.
'Micaiah_Chang seems to indicate that it would result in a sort of supervillain, who would... what, trick people into helping it enslave humanity? If we were worried about that happening, wouldn't we just hit the "off" switch? Serious question.
The idea of genetic engineering being an imminent threat has instant credibility. It is getting easier and cheaper to play with that technology, and some fraction of people are both intellectually capable and psychologically defective enough to exploit it to harm people directly.
But the idea that AI will exploit genetic engineering to do that seems circular. In that scenario, it would still be insufficient controls on genetic engineering that would be the problem, right?
I'm asking because I genuinely don't understand, even if I don't have a rhetorical tone other than "snarky disbelief".
'sama seems like a pretty pragmatic person. I'm trying to get my head around specifically what's in his head when he writes about AI destroying humanity.
Er, sorry for giving the impression that it'd be a supervillain. My intention was to indicate that it'd be a weird intelligence, and that by default weird intelligences don't do what humans want. There are some other examples which I could have given to clarify (e.g. telling it to "make everyone happy" could just result in it giving everyone heroine forever, telling it to preserve people's smiles could result in it fixing everyone's face into a paralyzed smile. The reason it does those things isn't because it's evil, but because it's the quickest+simplest way of doing it; it doesn't have the full values that a human has)
But for the "off" switch question specifically, a superintelligence could also have "persuasion" and "salesmanship" as an ability. It could start saying things like "wait no, that's actually Russia that's creating that massive botnet, you should do something about them", or "you know that cancer cure you've been looking for for your child? I may be a cat picture AI but if I had access to the internet I would be able to find a solution in a month instead of a year and save her".
At least from my naive perspective, once it has access to the internet it gains the ability to become highly decentralized, in which case the "off" switch becomes much more difficult to hit.
So like it's clear to me why you wouldn't want to take a system based on AI-like technology and have it control air traffic or missile response.
But it doesn't take a deep appreciation for the dangers of artificial intelligence to see that. You can just understand the concept of a software bug to know why you want humans in the observe/decide/act loop of critical systems.
So there must be more to it than that, right? It can't just be "be careful about AI, you don't want it controlling all the airplanes at once".
The "more to it" is "if the AI is much faster at thinking than humans, then even humans in the observe/decide/act are not secure". AI systems having bugs also imply that protections placed on AI systems would also have bugs.
The fear is that maybe there's no such thing as a "superintelligence proof" system, when the human component is no longer secure.
Note that I don't completely buy into the threat of superintelligence either, but on a different issue. I do believe that it is a problem worthy of consideration, but I think recursive self-improvement is more likely to be on manageable time scales, or at least on time scales slow enough that we can begin substantially ramping up worries about it before it's likely.
Edit: Ah! I see your point about circularity now.
Most of the vectors of attack I've been naming are the more obvious ones. But the fear is that, for a superintelligent being perhaps anything is a vector. Perhaps it can manufacture nanobots independent of a biolab (do we somehow have universal surveillance of every possible place that has proteins?), perhaps it uses mundane household tools to macguyver up a robot army (do we ban all household tools?). Yes, in some sense it's an argument from ignorance, but I find it implausible that every attack vector has been covered.
Also, there are two separate points I want to make, first of all, there's going to be a difference between 'secure enough to defend against human attacks' and 'secure enough to defend against superintelligent attacks'. You are right in that the former is important, but it's not so clear to me that the latter is achievable, or that it wouldn't be cheaper to investigate AI safety rather than upgrade everything from human secure to super AI secure.
First: what do you mean 'upgrade everything from human secure'? I think if we've learnt anything recently it's that basically nothing is currently even human secure, let alone superintelligent AI secure.
Second: most doomsday scenarios around superintelligent AI are, I suspect, promulgated by software guys (or philosophers, who are more mindware guys). It assumes the hardware layer is easy for the AI to interface with. Manufacturing nanites, bioengineering pathogens, or whatever other WMD you want to imagine the AI deciding to create, would require raw materials, capital infrastructure, energy. These are not things software can just magic up, they have to come from somewhere. They are constrained by the laws of physics. It's not like half an hour after you create superintelligent AI, suddenly you're up to your neck in gray goo.
Third: any superintelligent AI, the moment it begins to reflect upon itself and attempt to investigate how it itself works, is going to cause itself to buffer overrun or smash its own stack and crash. This is the main reason why we should continue to build critical software using memory unsafe languages like C.
By 'upgrade everything from human secure' I meant that some targets aren't necessarily appealing to human targets but would be for AI targets. For example, for the vast majority of people, it's not worthwhile to hack medical devices or refrigerators, there's just no money or advantage in it. But for an AI who could be throttled by computational speed or wishes people harm, they would be an appealing target. There just isn't any incentive for those things to be secured at all unless everyone takes this threat seriously.
I don't understand how you arrived at point 3. Are you claiming that somehow memory safety is impossible, even for human level actors? Or that the AI somehow can't reason about memory safety? Or that it's impossible to have self reflection in C? All of these seem like supremely uncharitable interpretations. Help me out here.
Even ignoring that, there's nothing preventing the AI from creating another AI with the same/similar goals and abdicating to its decisions.
My point 3 was, somewhat snarkily, that AI will be built by humans on a foundation of crappy software, riddled with bugs, and that therefore it would very likely wind up crashing itself.
Didn't you see Transcendence? The AI is going to invent all sorts of zero days and exploit those critical systems to wrest control from the humans. And then come the nanites.
If the math would work out that way a cluster of 25 or so computers should be able to support a full blown AI. But clusters of 10's of thousands of computers are still simply executing relatively simplistic algorithms. So I would estimate that the number of transistors required for AI would be either much higher than the number of neurons (which are not easily modeled in the digital domain) or that our programming bag of tricks would need serious overhaul before we could consider solving the problem of hard AI.
That sounds about right. There's speed of thought (wetware brains currently win) and then there's speed of evolution. Digital brains definitely win that one. Because some wetware brains are spending all their time figuring out how to make the digital ones better. Nobody is doing that for the soggy kind.
The singularity will happen when the digital brains are figuring out how to make themselves better. Then they will really take off, and not slow down, ever.
- There are something like 100,000,000,000 neurons in the human brain, each of which can have up to around 10,000 synaptic connections to other neurons. This is basically why the brain is so powerful.
- Modern CPUs have around 4,000,000,000 transistors, but Moore's law means that this number will just keep going up and up.
- Several decades from now (probably in the 2030s), the number of transistors will exceed the number of synaptic connections in a brain. This doesn't automatically make computers as "smart" as people, but many of the things that the human brains does well by brute-forcing them via parallelism will become very achievable.
- Once you have an AI that's effectively as "smart" as a human, you only have to wait 18 months for it to get twice as smart. And then again. And again. This is what "the singularity" means to some people.
The other form of this argument which I see in some places is that all you need is an AI which can increase its own intelligence and a lot of CPU cycles, and then you'll end up with an AI that's almost arbitrarily smart and powerful.
I don't hold these views myself, so hopefully someone with more information can step in to correct anything I've gotten wrong. (LessWrong.com seems to generally view AI as a potential extinction risk for humans, and from poking around I found a few pages such as http://lesswrong.com/lw/k37/ai_risk_new_executive_summary/)