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Superintelligence cannot be contained: Lessons from Computability Theory

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201–210 of 227 posts

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#201
post #35
post #12

Currently humans are super intelligent compared to machine intelligence, so if the super intelligence can give rise to something more intelligent than it, could the super intelligence give rise to something more intelligent than it? The answer must be yes, then the question is if containment is the problem and the conclusion is that it cannot be contained, then what we should be making right now is a super intelligen…

> could the super intelligence give rise to something more intelligent than it? The answer must be yes, I don't see any reason to believe that intelligence forms an infinite ladder, I mean, it's fun to think about, but surely Zeno catches the tortoise eventually!

There is also little reason to believe we are anywhere near the top of the finite ladder either.

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#202

Earlier quoted context omitted.

> If we could understand human thought at a similar level, we MIGHT find out that "the feeling of red" is not fundamentally different than "the understanding that 1 + 1 = 2", and we could come up with quantifications of it in different ways, from the physical representation in the brain to a certain "bit pattern" in the abstract model of the human brain computer. I guess the idea is that an abstract concept like "the…

> A similar argument -- though he didn't take it as far -- was made by John Searle (of Chinese Room fame). [2] I have read the entire paper - thank you for the link! - and I find it either false or trivial (to use a style of observation from Chomsky). Searle is asserting that computers don't do anything without homunculi to observe their computation, which is patently false. If I create a robot with an optical camera…

> If I create a robot with an optical camera that detects if there is a large object near itself and uses an arm to open a door if so, the system works (or doesn't work) regardless of any meaning that is ascribed to its computations by an observer.

Whether the system "works" or "doesn't work" is dependent on what the machine was designed to do, which is not an objective physical fact about the machine. Perhaps the machine was not meant to open the door when an object is detected, but to close it instead, or to do something else entirely; only the designer would be able to tell you one way or the other.

The same is true for all computation, and that is Searle's point.

> A computer (the theoretical model) is, be definition, something that can perform coherent reasoning without any special internal state.

Computers don't actually engage in reasoning, though, for the same reason. A machine is just a physical process, and physical processes do not have determinate semantic content.

Ross and Feser then argue that because thoughts do have determinate semantic content, they are necessarily immaterial, and I think they are correct.

(This argument is unrelated to qualia; I don't think qualia are fundamental to reason itself.)

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#203

Earlier quoted context omitted.

> I don't think you can say that life is built on computational processes unless you use a definition of "computation" that is so vague and all-encompassing that it becomes effectively meaningless. I mean, there's nothing physically stopping us from simulating a brain, right? It's a finite object with a finite amount of physical ingredients, and therefore with a finite amount of computing power we can simulate what i…

I think you're missing the central point, which is that computation is observer relative. Anything can be interpreted as a computational process. Searle: "Thus for example the wall behind my back is right now implementing the Wordstar program, because there is some pattern of molecule movements which is isomorphic with the formal structure of Wordstar. But if the wall is implementing Wordstar then if it is a big enou…

> I think you're missing the central point, which is that computation is observer relative. Anything can be interpreted as a computational process.

I see what you're saying, and maybe I am misunderstanding your point, but to me it seems like you've gotten yourself bogged down in wordplay when there is something much simpler going on: say I have a human named Bob from Des Moines, and next to him is a machine constructed to approximate Bob to arbitrary accuracy (this is possible because Bob is a made up of a finite number of particles/wavefunctions). Are you arguing that there's something special about Human Bob? If so, what is your argument for that? The two are "indistinguishable" and by that I mean whatever threshold you have for two things to be "indistinguishable" (practically speaking), you can technically make a reproduction of Bob that satisfies that threshold.

> That's circular reasoning. The point is that qualia are not something which, in principle, can be the subject of computation. There is no way to represent the fullness of sensation itself, like the redness of red or the softness of silk, as information. So how can our brains be "computing" it?

I would argue this is circular reasoning. "There is no way to represent the fullness of sensation itself" -- yes I would argue there is: whatever time-dependent set of physical states make up this "realization" in your brain.

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#204

Earlier quoted context omitted.

> A similar argument -- though he didn't take it as far -- was made by John Searle (of Chinese Room fame). [2] I have read the entire paper - thank you for the link! - and I find it either false or trivial (to use a style of observation from Chomsky). Searle is asserting that computers don't do anything without homunculi to observe their computation, which is patently false. If I create a robot with an optical camera…

> If I create a robot with an optical camera that detects if there is a large object near itself and uses an arm to open a door if so, the system works (or doesn't work) regardless of any meaning that is ascribed to its computations by an observer. Whether the system "works" or "doesn't work" is dependent on what the machine was designed to do, which is not an objective physical fact about the machine. Perhaps the ma…

The machine does the same thing regardless of whether you ascribe meaning to it or not. In this sense it is like the thermostat from Searle's example, which he was claiming computers are not.

This property of determinacy seems ill defined as well. It's basically defined from the assumption that the human mind is immaterial. If a machine and a human both arrive at the same result when posed a question (say, they both produce some sound that you interpret as meaning '42'), by what measure can you claim that one had semantic meaning and the other did not?

The idea of cognitivism is that there is no fundamental difference (even though of course it is very likely that the process by which this particular machine arrived at that result is different from the process by which the human did).

If I stand by a door and open it when big objects come into my field of view, how is that different from a machine doing the same?

And then, if I had a Machine that could converse and act just like a human (including describing its feelings and internal sensations) while doing nothing fundamentally different from our current PCs, by what measure would you say that this machine is 'simualting' a mind and is not in fact a mind in itself? (though of course it would be a different mind than a human would have).

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#205

Earlier quoted context omitted.

> If I create a robot with an optical camera that detects if there is a large object near itself and uses an arm to open a door if so, the system works (or doesn't work) regardless of any meaning that is ascribed to its computations by an observer. Whether the system "works" or "doesn't work" is dependent on what the machine was designed to do, which is not an objective physical fact about the machine. Perhaps the ma…

The machine does the same thing regardless of whether you ascribe meaning to it or not. In this sense it is like the thermostat from Searle's example, which he was claiming computers are not. This property of determinacy seems ill defined as well. It's basically defined from the assumption that the human mind is immaterial. If a machine and a human both arrive at the same result when posed a question (say, they both…

I don't agree, but I've reached my personal limit for philosophical discussion for the day, so I'll let you have the last word.

Thanks for the discussion! :)

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#206

Earlier quoted context omitted.

> A sequence of neurons firing is not equivalent to the sensation of red. Have you seen videos where people perform experiments on people's brains while they're awake? The subjects experience sensations that are inseparable from their neurons firing. I would say the sensation of red and neurons firing are the exact same thing to the person experiencing it. It's like saying a flashlight that is on is different than ph…

> The subjects experience sensations that are inseparable from their neurons firing. What does "inseparable" mean? That the sensation occurs at the same time that the neurons fire? That may be true, but it doesn't make them equivalent. > It's like saying a flashlight that is on is different than photons traveling away from a light bulb with a battery and a current. They're not the same, for what it's worth. The term…

> What does "inseparable" mean? That the sensation occurs at the same time that the neurons fire? That may be true, but it doesn't make them equivalent.

Can a sensation exist without neurons firing? The root of our conversation is the question if a sensation purely exists in the physical world. If it does, then it is possible to measure it. If it doesn't, then that breaks our scientific understanding of the world and would be exciting news.

> They're not the same, for what it's worth. The term "flashlight" conveys a certain intent and structure that "photons traveling away from a light bulb with a battery and a current" does not.

Yes there is no strict definition of a flashlight. Let's use your definition of a flashlight. Is it possible in your mind to separate the concept of a flashlight and your definition? Without "your definition here", the flashlight no longer exists. My point was without firing neurons, the sensation does not exist.

> The fact that two different phenomena are closely coupled via a cause and effect relationship does not make them the same phenomena.

My wording was not the best. My point was that the sensation of red is physically equivalent to neurons firing. How do we measure a sensation? If we cannot measure a sensation, does it exist in the physical world? If it doesn't exist in the physical world, then what does it existence mean to the scientific community?

> If you push two magnets together, the fact that the same force causes them to attract or repel does not mean that the motion of the first is literally equivalent to the motion of the second, or that the force itself is literally equivalent to either motion. They are closely correlated, but ultimately distinct.

I agree that these forces are distinct. We can measure the force of each magnet separately and we can define the motion of one magnet without referencing the motion of the other.

> You just can't avoid the fact that qualitative phenomena do exist in their own right. They can't be explained away using a physical model that assumes from the get go that they don't exist.

What is a qualitative phenomena? I couldn't find information on this term.

If we can't measure a qualitative phenomena in the physical space, what does it mean to exist?

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#207

I confess I am a frustrated academic, but from time to time I read a paper like this one and and convince myself that my frustration may perhaps be unwarranted. RECIPE TO PROVE ANYTHING IS INCOMPUTABLE (According to this paper). Example, beauty is incomputable Step 1. Assume there is an algorithm Beauty(R,D) that given the program R and the input D, will return True if it is beautiful and False otherwise. Step 2. Cre…

I think the typographical similarity of "halting" and "harming" may be causing some confusion. The contradictory assumption in the paper is not the decidability of the halting problem, but rather the decidability of the harming problem.

I got that point (in your comment and in the paper), but that is just a lousy argument, the _harming_ problem is fed the _halting_ problem, and since the second is undecidable the first it also is. So in essence the argument boils down to my original point.

How to prove your pizza is poisonous.

Let's put some cyanide in your pizza. Now let's assume by contradiction your pizza is not poisonous, but alas, in contains cyanide which is poisonous then so it is the pizza.

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#208
post #60

Earlier quoted context omitted.

That's not how arguments from contradiction work. You've assumed H (halting problem is decidable), prove B (beauty decidable), then say "but actually !H, therefore !B". All you've proven is that H => B. An actual argument from contradiction is "assume H, using H we can prove an obviously false statement, therefore not-H". And indeed, you have assumed something false (H), and shown a contradiction (various proofs for…

But it's not an argument from the paper. The idea is that superintelligence have to understand a consequence of any program to check for harm. And this is undecidable due to the halting problem. This argument is correct, but trivial and not worth a paper, in my opinion.

The harming algorithm is just used in the paper's proof as a simple wrapper around the halting algorithm.

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#209
post #60

Earlier quoted context omitted.

That's not how arguments from contradiction work. You've assumed H (halting problem is decidable), prove B (beauty decidable), then say "but actually !H, therefore !B". All you've proven is that H => B. An actual argument from contradiction is "assume H, using H we can prove an obviously false statement, therefore not-H". And indeed, you have assumed something false (H), and shown a contradiction (various proofs for…

You are just repeating my critique. I am not the one making the mistake.

I think maybe you made a typo in your OP? The authors assume beauty is decidable and use that to show that would imply that the halting problem is undecidable. It applies to anything, like you say, and to me it seems like a silly argument, but I think it’s a valid proof given the premises.

Re: Superintelligence cannot be contained: Lessons from Computability Theory

#210
I'm the author of a previous paper about the AI containment problem. This new paper, Alfonseca et al, is kind of crap.

This paper defines the term "containment problem" in a nonstandard way. This is different from how I use it in https://arxiv.org/pdf/1604.00545.pdf (which is largely about preventing side-channels and security vulnerabilities in realistic simulator environments) or how Bostrom's uses it.

In this paper, the containment problem is defined as executing a Turing machine for unbounded steps, iff it does not cause harm, given a function which defines whether an output counts as harm. They use a Godelian argument to show that this is incomputable, because a program could simulate the simulator, and condition its behavior in a way that creates a contradiction.

This is a toy problem which sort of vaguely rhymes with AI containment and AI safety, but contributes nothing to either of them. A real-world simulation environment wouldn't have infinite computation; there would be a finite bound, and "the AI reached the end of the simulation period without making up its mind about what it would do" is just an expected result which means the AI hasn't been proven safe.

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