I feel much the same about this post as I did about Roko's Final Post. It's imaginative, it's original, it has an internal logic that manages to range from metaphysics to cosmology; it's good to have some crazy-bold big-picture thinking like this in the public domain; but it's still wrong, wrong, wrong. It's an artefact of its time rather than a glimpse of reality. The reason it's nonetheless interesting is that it's an attempt to grasp aspects of reality which are not yet understood in its time - and this is also why I can't prove it to be "wrong" in a deductive way. Instead, I can only oppose my postulates to the author's, and argue that mine make more sense.
First I want to give a historical example of human minds probing the implications of things new and unknown, which in a later time became familiar and known. The realization that the other planets were worlds like Earth, a realization we might date from Galileo forwards, opened the human imagination to the idea of other worlds in the sky. People began to ask themselves: what's on those other worlds, is there life, what's it like; what's the big picture, the logic of the situation. In the present day, when robot pro...
The philosophical implication is that actually running such an algorithm on an infinite Turing Machine would have the interesting side effect of actually creating all such universes.
That's an interesting point! At least, it's more interesting than Tipler's way of arriving at that conclusion.
If you accept that the reasonable assumption of progress holds, then AIXI implies that we almost certainly live in a simulation now.
See my response to the claim that the anthropic argument suggests it is highly improbable that you would find yourself to be a hum...
The set of simulation possibilities can be subdivided into PHS (posthuman historical), AHS (alien historical), and AFS (alien future) simulations (as posthuman future simulation is inconsistent).
What these categories meant was not clear to me on first reading.
I currently understand AFS as something like aliens finding earlier [humanity[ and trying to predict what we will do. AHS would be the result of Aliens interacting with a more mature humanity and trying to deduce particulars about our origin, perhaps for use in an AFS.
If I have that right, PFS migh...
If you absolutely have to summarize the forbidden topic at least rot13 it and preface it with an appropriate warning.
I have a question. What does it mean for AIXI to be the optimal time bounded AI? If it's so great, why do people still bother with ANNs and SVNs and SOMs and KNNs and TLAs and T&As? My understanding of it is rather cloudy (as is my understanding of all but the last two of the above), so I'd appreciate clarifaction.
First of all, AIXI isn't actually "the optimal time bounded AI". What AIXI is "optimal" for is coming to correct conclusions when given the smallest amount of data, and by "optimal" it means "no other program does better than AIXI in at least one possible world without also doing worse in another".
Furthermore AIXI itself uses Solomonoff induction directly, and Solomonoff induction is uncomputable. (It can be approximated, though.)
AIXItl is the time-limited version if AIXI, but it amounts to "test all the programs that you can, find the best one, and use that" - and it's only "optimal" when compared against the programs that it can test, so it's not actually practical to use, either.
(At least, that's what I could gather from reading the PDF of the paper on AIXI. Could someone who knows what they're talking about correct any mistakes?)
because the runtime complexity of AIXI is astronomically larger than the universe is.
'Astronomically'? That's the first time I've seen that superlative inadequate for the job.
Memetic hazard warning. Decode first part first.
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One thing I want to make clear is that it is not the correct way to make friendly AI to try to hard code human morality into it. Correct Friendly AI learns about human morality.
MOST of my argument really really isn't about human brains at all. Really.
For a value system in an AGI to change, there must be a mechanism to change the value system. Most likely that mechanism will work off of existing values, if any. In such cases, the complexity of the initial values system is the compressed length of the modification mechanism, plus any initial values. This will almost certainly be at least a kilobit.
If the mechanism+initial values that your AI is using were really simple, then you would not need 1024 bits to describe it. The mechanism you are using is very specific. If you know you need to be that specific, then you already know that you're aiming for a target that specific.
The subset possible of designs is sparse - and almost all of the space is an empty worthless desert.
If your generic learning algorithm needs a specific class of motivation mechanisms to 1024 bits of specificity in order to still be intelligent, then the mechanism you made is actually part of your intellignce design. You should separate that for clarity, an AGI should be general.
The idea that there is some universally programmed 'morality' in the genome is . ... a convenient fantasy.
Heh yeah, but I already conceded that.
Let me put it this way: emotions and drives and such are in the genome. They act as a (perhaps relatively small) function which takes various sensory feeds as arguments, and produce as output modifications to a larger system, say a neural net. If you change that function, you will change what modifications are made.
Given that we're talking about functions that also take their own output as input and do pretty detailed modifications on huge datasets, there is tons of room for different functions to go in different directions. There is no generic morality-importer.
Now there may be clusters of similar functions which all kinda converge given similar input, especially when that input is from other intelligences repeating memes evolved to cause convergence on that class of functions. But even near those clusters are functions which do not converge.
But there just aren't many moral lessons structured around the basic drive of 'paperclips are good' (19 bits)
The basic drive 'paperclips are good' is actually a very complex thing we'd have to add to an AGI design - its not something that would just spontaneously appear.
I think it's great that you're putting the description of a paperclip in the basic drive complexity count, as that will completely blow away the kilobit for storing any of the basic human drives you've listed. Maybe the complexity of the important subset of human drives will be somewhere in the ballpark of the complexity of the reptilian brain.
Another thing I could say to describe my point: If you have a generic learning algorithm, then whatever things feed rewards or punishments to that algorithm should bee seen as part of that algorithms environment. Even if some of those things are parts of the agent as a whole, they are part of what the values-agnostic learning algorithm is going to learn to get reward from.
So if you change an internal reward-generator, it's just like changing the environment of the part that just does learning. So two AI's with different internal reward generators will end up learning totally different things about their 'environment'.
To say that a different way: Everything you try to teach the AI will be filtered through the lens of its basic drives.
For a value system in an AGI to change, there must be a mechanism to change the value system.
I'm not convinced that an AGI needs a value system in the first place (beyond the basic value of - survive)- but perhaps that is because I am taking 'value system' to mean something similar to morality - a goal evaluation mechanism.
As I discussed, the infant human brain does have a number of inbuilt simple reinforcement learning systems that do reward/punish on a very simple scale for some simple drives (pain avoidance, hunger) - and you could consider these a '...
Implications of the Theory of Universal Intelligence
If you hold the AIXI theory for universal intelligence to be correct; that it is a useful model for general intelligence at the quantitative limits, then you should take the Simulation Argument seriously.
AIXI shows us the structure of universal intelligence as computation approaches infinity. Imagine that we had an infinite or near-infinite Turing Machine. There then exists a relatively simple 'brute force' optimal algorithm for universal intelligence.
Armed with such massive computation, we could just take all of our current observational data and then use a particular weighted search through the subspace of all possible programs that correctly predict this sequence (in this case all the data we have accumulated to date about our small observable slice of the universe). AIXI in raw form is not computable (because of the halting problem), but the slightly modified time limited version is, and this is still universal and optimal.
The philosophical implication is that actually running such an algorithm on an infinite Turing Machine would have the interesting side effect of actually creating all such universes.
AIXI’s mechanics, based on Solomonoff Induction, bias against complex programs with an exponential falloff ( 2^-l(p) ), a mechanism similar to the principle of Occam’s Razor. The bias against longer (and thus more complex) programs, lends a strong support to the goal of String Theorists, who are attempting to find a simple, shorter program that can unify all current physical theories into a single compact description of our universe. We must note that to date, efforts towards this admirable (and well-justified) goal have not born fruit. We may actually find that the simplest algorithm that explains our universe is more ad-hoc and complex than we would desire it to be. But leaving that aside, imagine that there is some relatively simple program that concisely explains our universe.
If we look at the history of the universe to date, from the Big Bang to our current moment in time, there appears to be a clear local telic evolutionary arrow towards greater X, where X is sometimes described as or associated with: extropy, complexity, life, intelligence, computation, etc etc. Its also fairly clear that X (however quantified) is an exponential function of time. Moore’s Law is a specific example of this greater pattern.
This leads to a reasonable inductive assumption, let us call it the reasonable assumption of progress: local extropy will continue to increase exponentially for the foreseeable future, and thus so will intelligence and computation (both physical computational resources and algorithmic efficiency). The reasonable assumption of progress appears to be a universal trend, a fundamental emergent property of our physics.
Simulations
If you accept that the reasonable assumption of progress holds, then AIXI implies that we almost certainly live in a simulation now.
As our future descendants expand in computational resources and intelligence, they will approach the limits of universal intelligence. AIXI says that any such powerful universal intelligence, no matter what its goals or motivations, will create many simulations which effectively are pocket universes.
The AIXI model proposes that simulation is the core of intelligence (with human-like thoughts being simply one approximate algorithm), and as you approach the universal limits, the simulations which universal intelligences necessarily employ will approach the fidelity of real universes - complete with all the entailed trappings such as conscious simulated entities.
The reasonable assumption of progress modifies our big-picture view of cosmology and the predicted history and future of the universe. A compact physical theory of our universe (or multiverse), when run forward on a sufficient Universal Turing Machine, will lead not to one single universe/multiverse, but an entire ensemble of such multi-verses embedded within each other in something like a hierarchy of Matryoshka dolls.
The number of possible levels of embedding and the branching factor at each step can be derived from physics itself, and although such derivations are preliminary and necessarily involve some significant unknowns (mainly related to the final physical limits of computation), suffice to say that we have sufficient evidence to believe that the branching factor is absolutely massive, and many levels of simulation embedding are possible.
Some seem to have an intrinsic bias against the idea bases solely on its strangeness.
Another common mistake stems from the anthropomorphic bias: people tend to image the simulators as future versions of themselves.
The space of potential future minds is vast, and it is a failure of imagination on our part to assume that our descendants will be similar to us in details, especially when we have specific reasons to conclude that they will be vastly more complex.
Asking whether future intelligences will run simulations for entertainment or other purposes are not the right questions, not even the right mode of thought. They may, they may not, it is difficult to predict future goal systems. But those aren’t important questions anyway, as all universe intelligences will ‘run’ simulations, simply because that precisely is the core nature of intelligence itself. As intelligence expands exponentially into the future, the simulations expand in quantity and fidelity.
The Assemble of Multiverses
Some critics of the SA rationalize their way out by advancing a position of ignorance concerning the set of possible external universes our simulation may be embedded within. The reasoning then concludes that since this set is essentially unknown, infinite and uniformly distributed, that the SA as such thus tells us nothing. These assumptions do not hold water.
Imagine our physical universe, and its minimal program encoding, as a point in a higher multi-dimensional space. The entire aim of physics in a sense is related to AIXI itself: through physics we are searching for the simplest program that can consistently explain our observable universe. As noted earlier, the SA then falls out naturally, because it appears that any universe of our type when ran forward necessarily leads to a vast fractal hierarchy of embedded simulated universes.
At the apex is the base level of reality and all the other simulated universes below it correspond to slightly different points in the space of all potential universes - as they are all slight approximations of the original. But would other points in the space of universe-generating programs also generate observed universes like our own?
We know that the fundamental constants in the current physics are apparently well-tuned for life, thus our physics is a lone point in the topological space supporting complex life: even just tiny displacements in any direction result in lifeless universes. The topological space around our physics is thus sparse for life/complexity/extropy. There may be other topological hotspots, and if you go far enough in some direction you will necessarily find other universes in Tegmark’s Ultimate Ensemble that support life. However, AIXI tells us that intelligences in those universes will simulate universes similar to their own, and thus nothing like our universe.
On the other hand we can expect our universe to be slightly different from its parent due to the constraints of simulation, and we may even eventually be able to discover evidence of the approximation itself. There are some tentative hints from the long-standing failure to find a GUT of physics, and perhaps in the future we may find our universe is an ad-hoc approximation of a simpler (but more computationally expensive) GUT theory in the parent universe.
Alien Dreams
Our Milky Way galaxy is vast and old, consisting of hundreds of billions of stars, some of which are more than 13 billion years old, more than three times older than our sun. We have direct evidence of technological civilization developing in 4 billion years from simple protozoans, but it is difficult to generalize past this single example. However, we do now have mounting evidence that planets are common, the biological precursors to life are probably common, simple life may even have had a historical presence on mars, and all signs are mounting to support the principle of mediocrity: that our solar system is not a precious gem, but is in fact a typical random sample.
If the evidence for the mediocrity principle continues to mount, it provides a further strong support for the Simulation Argument. If we are not the first technological civilization to have arisen, then technological civilization arose and achieved Singularity long ago, and we are thus astronomically more likely to be in an alien rather than posthuman simulation.
What does this change?
The set of simulation possibilities can be subdivided into PHS (posthuman historical), AHS (alien historical), and AFS (alien future) simulations (as posthuman future simulation is inconsistent). If we discover that we are unlikely to be the first technological Singularity, we should assume AHS and AFS dominate. For reasons beyond this scope, I imagine that the AFS set will outnumber the AHS set.
Historical simulations would aim for historical fidelity, but future simulations would aim for fidelity to a 'what-if' scenario, considering some hypothetical action the alien simulating civilization could take. In this scenario, the first civilization to reach technological Singularity in the galaxy would spread out, gather knowledge about the entire galaxy, and create a massive number of simulations. It would use these in the same way that all universal intelligences do: to consider the future implications of potential actions.
What kinds of actions?
The first-born civilization would presumably encounter many planets that already harbor life in various stages, along with planets that could potentially harbor life. It would use forward simulations to predict the final outcome of future civilizations developing on these worlds. It would then rate them according to some ethical/utilitarian theory (we don't even need to speculate on the criteria), and it would consider and evaluate potential interventions to change the future historical trajectory of that world: removing undesirable future civilizations, pushing other worlds towards desirable future outcomes, and so on.
At the moment its hard to assign apriori weighting to future vs historical simulation possibilities, but the apparent age of the galaxy compared to the relative youth of our sun is a tentative hint that we live in a future simulation, and thus that our history has potentially been altered.