# 73

Short form:  Pascal's Muggle

tl;dr:  If you assign superexponentially infinitesimal probability to claims of large impacts, then apparently you should ignore the possibility of a large impact even after seeing huge amounts of evidence.  If a poorly-dressed street person offers to save 10(10^100) lives (googolplex lives) for \$5 using their Matrix Lord powers, and you claim to assign this scenario less than 10-(10^100) probability, then apparently you should continue to believe absolutely that their offer is bogus even after they snap their fingers and cause a giant silhouette of themselves to appear in the sky.  For the same reason, any evidence you encounter showing that the human species could create a sufficiently large number of descendants - no matter how normal the corresponding laws of physics appear to be, or how well-designed the experiments which told you about them - must be rejected out of hand.  There is a possible reply to this objection using Robin Hanson's anthropic adjustment against the probability of large impacts, and in this case you will treat a Pascal's Mugger as having decision-theoretic importance exactly proportional to the Bayesian strength of evidence they present you, without quantitative dependence on the number of lives they claim to save.  This however corresponds to an odd mental state which some, such as myself, would find unsatisfactory.  In the end, however, I cannot see any better candidate for a prior than having a leverage penalty plus a complexity penalty on the prior probability of scenarios.

In late 2007 I coined the term "Pascal's Mugging" to describe a problem which seemed to me to arise when combining conventional decision theory and conventional epistemology in the obvious way.  On conventional epistemology, the prior probability of hypotheses diminishes exponentially with their complexity; if it would take 20 bits to specify a hypothesis, then its prior probability receives a 2-20 penalty factor and it will require evidence with a likelihood ratio of 1,048,576:1 - evidence which we are 1048576 times more likely to see if the theory is true, than if it is false - to make us assign it around 50-50 credibility.  (This isn't as hard as it sounds.  Flip a coin 20 times and note down the exact sequence of heads and tails.  You now believe in a state of affairs you would have assigned a million-to-one probability beforehand - namely, that the coin would produce the exact sequence HTHHHHTHTTH... or whatever - after experiencing sensory data which are more than a million times more probable if that fact is true than if it is false.)  The problem is that although this kind of prior probability penalty may seem very strict at first, it's easy to construct physical scenarios that grow in size vastly faster than they grow in complexity.

I originally illustrated this using Pascal's Mugger:  A poorly dressed street person says "I'm actually a Matrix Lord running this world as a computer simulation, along with many others - the universe above this one has laws of physics which allow me easy access to vast amounts of computing power.  Just for fun, I'll make you an offer - you give me five dollars, and I'll use my Matrix Lord powers to save 3↑↑↑↑3 people inside my simulations from dying and let them live long and happy lives" where ↑ is Knuth's up-arrow notation.  This was originally posted in 2007, when I was a bit more naive about what kind of mathematical notation you can throw into a random blog post without creating a stumbling block.  (E.g.:  On several occasions now, I've seen someone on the Internet approximate the number of dust specks from this scenario as being a "billion", since any incomprehensibly large number equals a billion.)  Let's try an easier (and way smaller) number instead, and suppose that Pascal's Mugger offers to save a googolplex lives, where a googol is 10100 (a 1 followed by a hundred zeroes) and a googolplex is 10 to the googol power, so 1010100 or 1010,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 lives saved if you pay Pascal's Mugger five dollars, if the offer is honest.

If Pascal's Mugger had only offered to save a mere googol lives (10100), we could perhaps reply that although the notion of a Matrix Lord may sound simple to say in English, if we actually try to imagine all the machinery involved, it works out to a substantial amount of computational complexity.  (Similarly, Thor is a worse explanation for lightning bolts than the laws of physics because, among other points, an anthropomorphic deity is more complex than calculus in formal terms - it would take a larger computer program to simulate Thor as a complete mind, than to simulate Maxwell's Equations - even though in mere human words Thor sounds much easier to explain.)  To imagine this scenario in formal detail, we might have to write out the laws of the higher universe the Mugger supposedly comes from, the Matrix Lord's state of mind leading them to make that offer, and so on.  And so (we reply) when mere verbal English has been translated into a formal hypothesis, the Kolmogorov complexity of this hypothesis is more than 332 bits - it would take more than 332 ones and zeroes to specify - where 2-332 ~ 10-100.  Therefore (we conclude) the net expected value of the Mugger's offer is still tiny, once its prior improbability is taken into account.

But once Pascal's Mugger offers to save a googolplex lives - offers us a scenario whose value is constructed by twice-repeated exponentiation - we seem to run into some difficulty using this answer.  Can we really claim that the complexity of this scenario is on the order of a googol bits - that to formally write out the hypothesis would take one hundred billion billion times more bits than there are atoms in the observable universe?

And a tiny, paltry number like a googolplex is only the beginning of computationally simple numbers that are unimaginably huge.  Exponentiation is defined as repeated multiplication:  If you see a number like 35, it tells you to multiply five 3s together: 3×3×3×3×3 = 243.  Suppose we write 35 as 3↑5, so that a single arrow ↑ stands for exponentiation, and let the double arrow ↑↑ stand for repeated exponentation, or tetration.  Thus 3↑↑3 would stand for 3↑(3↑3) or 333 = 327 = 7,625,597,484,987.  Tetration is also written as follows: 33 = 3↑↑3.  Thus 42 = 2222 = 224 = 216 = 65,536.  Then pentation, or repeated tetration, would be written with 3↑↑↑3 = 333 = 7,625,597,484,9873 = 33...3 where the ... summarizes an exponential tower of 3s seven trillion layers high.

But 3↑↑↑3 is still quite simple computationally - we could describe a small Turing machine which computes it - so a hypothesis involving 3↑↑↑3 should not therefore get a large complexity penalty, if we're penalizing hypotheses by algorithmic complexity.

I had originally intended the scenario of Pascal's Mugging to point up what seemed like a basic problem with combining conventional epistemology with conventional decision theory:  Conventional epistemology says to penalize hypotheses by an exponential factor of computational complexity.  This seems pretty strict in everyday life:  "What? for a mere 20 bits I am to be called a million times less probable?"  But for stranger hypotheses about things like Matrix Lords, the size of the hypothetical universe can blow up enormously faster than the exponential of its complexity.  This would mean that all our decisions were dominated by tiny-seeming probabilities (on the order of 2-100 and less) of scenarios where our lightest action affected 3↑↑4 people... which would in turn be dominated by even more remote probabilities of affecting 3↑↑5 people...

This problem is worse than just giving five dollars to Pascal's Mugger - our expected utilities don't converge at all!  Conventional epistemology tells us to sum over the predictions of all hypotheses weighted by their computational complexity and evidential fit.  This works fine with epistemic probabilities and sensory predictions because no hypothesis can predict more than probability 1 or less than probability 0 for a sensory experience.  As hypotheses get more and more complex, their contributed predictions have tinier and tinier weights, and the sum converges quickly.  But decision theory tells us to calculate expected utility by summing the utility of each possible outcome, times the probability of that outcome conditional on our action.  If hypothetical utilities can grow faster than hypothetical probability diminishes, the contribution of an average term in the series will keep increasing, and this sum will never converge - not if we try to do it the same way we got our epistemic predictions, by summing over complexity-weighted possibilities.  (See also this similar-but-different paper by Peter de Blanc.)

Unfortunately I failed to make it clear in my original writeup that this was where the problem came from, and that it was general to situations beyond the Mugger.  Nick Bostrom's writeup of Pascal's Mugging for a philosophy journal used a Mugger offering a quintillion days of happiness, where a quintillion is merely 1,000,000,000,000,000,000 = 1018.  It takes at least two exponentiations to outrun a singly-exponential complexity penalty.  I would be willing to assign a probability of less than 1 in 1018 to a random person being a Matrix Lord.  You may not have to invoke 3↑↑↑3 to cause problems, but you've got to use something like 1010100 - double exponentiation or better.  Manipulating ordinary hypotheses about the ordinary physical universe taken at face value, which just contains 1080 atoms within range of our telescopes, should not lead us into such difficulties.

(And then the phrase "Pascal's Mugging" got completely bastardized to refer to an emotional feeling of being mugged that some people apparently get when a high-stakes charitable proposition is presented to them, regardless of whether it's supposed to have a low probability.  This is enough to make me regret having ever invented the term "Pascal's Mugging" in the first place; and for further thoughts on this see The Pascal's Wager Fallacy Fallacy (just because the stakes are high does not mean the probabilities are low, and Pascal's Wager is fallacious because of the low probability, not the high stakes!) and Being Half-Rational About Pascal's Wager Is Even Worse.  Again, when dealing with issues the mere size of the apparent universe, on the order of 1080 - for small large numbers - we do not run into the sort of decision-theoretic problems I originally meant to single out by the concept of "Pascal's Mugging".  My rough intuitive stance on x-risk charity is that if you are one of the tiny fraction of all sentient beings who happened to be born here on Earth before the intelligence explosion, when the existence of the whole vast intergalactic future depends on what we do now, you should expect to find yourself surrounded by a smorgasbord of opportunities to affect small large numbers of sentient beings.  There is then no reason to worry about tiny probabilities of having a large impact when we can expect to find medium-sized opportunities of having a large impact, so long as we restrict ourselves to impacts no larger than the size of the known universe.)

One proposal which has been floated for dealing with Pascal's Mugger in the decision-theoretic sense is to penalize hypotheses that let you affect a large number of people, in proportion to the number of people affected - what we could call perhaps a "leverage penalty" instead of a "complexity penalty".

Unfortunately this potentially leads us into a different problem, that of Pascal's Muggle.

Suppose a poorly-dressed street person asks you for five dollars in exchange for doing a googolplex's worth of good using his Matrix Lord powers.

"Well," you reply, "I think it very improbable that I would be able to affect so many people through my own, personal actions - who am I to have such a great impact upon events?  Indeed, I think the probability is somewhere around one over googolplex, maybe a bit less.  So no, I won't pay five dollars - it is unthinkably improbable that I could do so much good!"

"I see," says the Mugger.

A wind begins to blow about the alley, whipping the Mugger's loose clothes about him as they shift from ill-fitting shirt and jeans into robes of infinite blackness, within whose depths tiny galaxies and stranger things seem to twinkle.  In the sky above, a gap edged by blue fire opens with a horrendous tearing sound - you can hear people on the nearby street yelling in sudden shock and terror, implying that they can see it too - and displays the image of the Mugger himself, wearing the same robes that now adorn his body, seated before a keyboard and a monitor.

"That's not actually me," the Mugger says, "just a conceptual representation, but I don't want to drive you insane.  Now give me those five dollars, and I'll save a googolplex lives, just as promised.  It's easy enough for me, given the computing power my home universe offers.  As for why I'm doing this, there's an ancient debate in philosophy among my people - something about how we ought to sum our expected utilities - and I mean to use the video of this event to make a point at the next decision theory conference I attend.   Now will you give me the five dollars, or not?"

"No?" says the Mugger.  "I understood earlier when you didn't want to give a random street person five dollars based on a wild story with no evidence behind it.  But now I've offered you evidence."

"Unfortunately, you haven't offered me enough evidence," you explain.

"Really?" says the Mugger.  "I've opened up a fiery portal in the sky, and that's not enough to persuade you?  What do I have to do, then?  Rearrange the planets in your solar system, and wait for the observatories to confirm the fact?  I suppose I could also explain the true laws of physics in the higher universe in more detail, and let you play around a bit with the computer program that encodes all the universes containing the googolplex people I would save if you gave me the five dollars -"

"Sorry," you say, shaking your head firmly, "there's just no way you can convince me that I'm in a position to affect a googolplex people, because the prior probability of that is one over googolplex.  If you wanted to convince me of some fact of merely 2-100 prior probability, a mere decillion to one - like that a coin would come up heads and tails in some particular pattern of a hundred coinflips - then you could just show me 100 bits of evidence, which is within easy reach of my brain's sensory bandwidth.  I mean, you could just flip the coin a hundred times, and my eyes, which send my brain a hundred megabits a second or so - though that gets processed down to one megabit or so by the time it goes through the lateral geniculate nucleus - would easily give me enough data to conclude that this decillion-to-one possibility was true.  But to conclude something whose prior probability is on the order of one over googolplex, I need on the order of a googol bits of evidence, and you can't present me with a sensory experience containing a googol bits.  Indeed, you can't ever present a mortal like me with evidence that has a likelihood ratio of a googolplex to one - evidence I'm a googolplex times more likely to encounter if the hypothesis is true, than if it's false - because the chance of all my neurons spontaneously rearranging themselves to fake the same evidence would always be higher than one over googolplex.  You know the old saying about how once you assign something probability one, or probability zero, you can never change your mind regardless of what evidence you see?  Well, odds of a googolplex to one, or one to a googolplex, work pretty much the same way."

"So no matter what evidence I show you," the Mugger says - as the blue fire goes on crackling in the torn sky above, and screams and desperate prayers continue from the street beyond - "you can't ever notice that you're in a position to help a googolplex people."

"Right!" you say.  "I can believe that you're a Matrix Lord.  I mean, I'm not a total Muggle, I'm psychologically capable of responding in some fashion to that giant hole in the sky.  But it's just completely forbidden for me to assign any significant probability whatsoever that you will actually save a googolplex people after I give you five dollars.  You're lying, and I am absolutely, absolutely, absolutely confident of that."

"So you weren't just invoking the leverage penalty as a plausible-sounding way of getting out of paying me the five dollars earlier," the Mugger says thoughtfully.  "I mean, I'd understand if that was just a rationalization of your discomfort at forking over five dollars for what seemed like a tiny probability, when I hadn't done my duty to present you with a corresponding amount of evidence before demanding payment.  But you... you're acting like an AI would if it was actually programmed with a leverage penalty on hypotheses!"

"Exactly," you say.  "I'm forbidden a priori to believe I can ever do that much good."

"Why?" the Mugger says curiously.  "I mean, all I have to do is press this button here and a googolplex lives will be saved."  The figure within the blazing portal above points to a green button on the console before it.

"Like I said," you explain again, "the prior probability is just too infinitesimal for the massive evidence you're showing me to overcome it -"

The Mugger shrugs, and vanishes in a puff of purple mist.

The portal in the sky above closes, taking with the console and the green button.

(The screams go on from the street outside.)

A few days later, you're sitting in your office at the physics institute where you work, when one of your colleagues bursts in through your door, seeming highly excited.  "I've got it!" she cries.  "I've figured out that whole dark energy thing!  Look, these simple equations retrodict it exactly, there's no way that could be a coincidence!"

At first you're also excited, but as you pore over the equations, your face configures itself into a frown.  "No..." you say slowly.  "These equations may look extremely simple so far as computational complexity goes - and they do exactly fit the petabytes of evidence our telescopes have gathered so far - but I'm afraid they're far too improbable to ever believe."

"What?" she says.  "Why?"

"Well," you say reasonably, "if these equations are actually true, then our descendants will be able to exploit dark energy to do computations, and according to my back-of-the-envelope calculations here, we'd be able to create around a googolplex people that way.  But that would mean that we, here on Earth, are in a position to affect a googolplex people - since, if we blow ourselves up via a nanotechnological war or (cough) make certain other errors, those googolplex people will never come into existence.  The prior probability of us being in a position to impact a googolplex people is on the order of one over googolplex, so your equations must be wrong."

"Hmm..." she says.  "I hadn't thought of that.  But what if these equations are right, and yet somehow, everything I do is exactly balanced, down to the googolth decimal point or so, with respect to how it impacts the chance of modern-day Earth participating in a chain of events that leads to creating an intergalactic civilization?"

"How would that work?" you say.  "There's only seven billion people on today's Earth - there's probably been only a hundred billion people who ever existed total, or will exist before we go through the intelligence explosion or whatever - so even before analyzing your exact position, it seems like your leverage on future affairs couldn't reasonably be less than a one in ten trillion part of the future or so."

"But then given this physical theory which seems obviously true, my acts might imply expected utility differentials on the order of 1010100-13," she explains, "and I'm not allowed to believe that no matter how much evidence you show me."

This problem may not be as bad as it looks; with some further reasoning, the leverage penalty may lead to more sensible behavior than depicted above.

Robin Hanson has suggested that the logic of a leverage penalty should stem from the general improbability of individuals being in a unique position to affect many others (which is why I called it a leverage penalty).  At most 10 out of 3↑↑↑3 people can ever be in a position to be "solely responsible" for the fate of 3↑↑↑3 people if "solely responsible" is taken to imply a causal chain that goes through no more than 10 people's decisions; i.e. at most 10 people can ever be solely10 responsible for any given event.  Or if "fate" is taken to be a sufficiently ultimate fate that there's at most 10 other decisions of similar magnitude that could cumulate to determine someone's outcome utility to within ±50%, then any given person could have their fate10 determined on at most 10 occasions.  We would surely agree, while assigning priors at the dawn of reasoning, that an agent randomly selected from the pool of all agents in Reality has at most a 100/X chance of being able to be solely10 responsible for the fate10 of X people.  Any reasoning we do about universes, their complexity, sensory experiences, and so on, should maintain this net balance.  You can even strip out the part about agents and carry out the reasoning on pure causal nodes; the chance of a randomly selected causal node being in a unique100 position on a causal graph with respect to 3↑↑↑3 other nodes ought to be at most 100/3↑↑↑3 for finite causal graphs.  (As for infinite causal graphs, well, if problems arise only when introducing infinity, maybe it's infinity that has the problem.)

Suppose we apply the Hansonian leverage penalty to the face-value scenario of our own universe, in which there are apparently no aliens and the galaxies we can reach in the future contain on the order of 1080 atoms; which, if the intelligence explosion goes well, might be transformed into on the very loose order of... let's ignore a lot of intermediate calculations and just call it the equivalent of 1080 centuries of life.  (The neurons in your brain perform lots of operations; you don't get only one computing operation per element, because you're powered by the Sun over time.  The universe contains a lot more negentropy than just 1080 bits due to things like the gravitational potential energy that can be extracted from mass.  Plus we should take into account reversible computing.  But of course it also takes more than one computing operation to implement a century of life.  So I'm just going to xerox the number 1080 for use in these calculations, since it's not supposed to be the main focus.)

Wouldn't it be terribly odd to find ourselves - where by 'ourselves' I mean the hundred billion humans who have ever lived on Earth, for no more than a century or so apiece - solely100,000,000,000 responsible for the fate10 of around 1080 units of life?  Isn't the prior probability of this somewhere around 10-68?

Yes, according to the leverage penalty.  But a prior probability of 10-68 is not an insurmountable epistemological barrier.  If you're taking things at face value, 10-68 is just 226 bits of evidence or thereabouts, and your eyes are sending you a megabit per second.  Becoming convinced that you, yes you are an Earthling is epistemically doable; you just need to see a stream of sensory experiences which is 1068 times more probable if you are an Earthling than if you are someone else.  If we take everything at face value, then there could be around 1080 centuries of life over the history of the universe, and only 1011 of those centuries will be lived by creatures who discover themselves occupying organic bodies.  Taking everything at face value, the sensory experiences of your life are unique to Earthlings and should immediately convince you that you're an Earthling - just looking around the room you occupy will provide you with sensory experiences that plausibly belong to only 1011 out of 1080 life-centuries.

If we don't take everything at face value, then there might be such things as ancestor simulations, and it might be that your experience of looking around the room is something that happens in 1020 ancestor simulations for every time that it happens in 'base level' reality.  In this case your probable leverage on the future is diluted (though it may be large even post-dilution).  But this is not something that the Hansonian leverage penalty forces you to believe - not when the putative stakes are still as small as 1080.  Conceptually, the Hansonian leverage penalty doesn't interact much with the Simulation Hypothesis (SH) at all.  If you don't believe SH, then you think that the experiences of creatures like yours are rare in the universe and hence present strong, convincing evidence for you occupying the leverage-privileged position of an Earthling - much stronger evidence than its prior improbability.  (There's some separate anthropic issues here about whether or not this is itself evidence for SH, but I don't think that question is intrinsic to leverage penalties per se.)

A key point here is that even if you accept a Hanson-style leverage penalty, it doesn't have to manifest as an inescapable commandment of modesty.  You need not refuse to believe (in your deep and irrevocable humility) that you could be someone as special as an Ancient Earthling.  Even if Earthlings matter in the universe - even if we occupy a unique position to affect the future of galaxies - it is still possible to encounter pretty convincing evidence that you're an Earthling.  Universes the size of 1080 do not pose problems to conventional decision-theoretic reasoning, or to conventional epistemology.

Things play out similarly if - still taking everything at face value - you're wondering about the chance that you could be special even for an Earthling, because you might be one of say 104 people in the history of the universe who contribute a major amount to an x-risk reduction project which ends up actually saving the galaxies.  The vast majority of the improbability here is just in being an Earthling in the first place!  Thus most of the clever arguments for not taking this high-impact possibility at face value would also tell you not to take being an Earthling at face value, since Earthlings as a whole are much more unique within the total temporal history of the universe than you are supposing yourself to be unique among Earthlings.  But given ¬SH, the prior improbability of being an Earthling can be overcome by a few megabits of sensory experience from looking around the room and querying your memories - it's not like 1080 is enough future beings that the number of agents randomly hallucinating similar experiences outweighs the number of real Earthlings.  Similarly, if you don't think lots of Earthlings are hallucinating the experience of going to a donation page and clicking on the Paypal button for an x-risk charity, that sensory experience can easily serve to distinguish you as one of 104 people donating to an x-risk philanthropy.

Yes, there are various clever-sounding lines of argument which involve not taking things at face value - "Ah, but maybe you should consider yourself as an indistinguishable part of this here large reference class of deluded people who think they're important."  Which I consider to be a bad idea because it renders you a permanent Muggle by putting you into an inescapable reference class of self-deluded people and then dismissing all your further thoughts as insufficient evidence because you could just be deluding yourself further about whether these are good arguments.  Nor do I believe the world can only be saved by good people who are incapable of distinguishing themselves from a large class of crackpots, all of whom have no choice but to continue based on the tiny probability that they are not crackpots.  (For more on this see Being Half-Rational About Pascal's Wager Is Even Worse.)  In this case you are a Pascal's Muggle not because you've explicitly assigned a probability like one over googolplex, but because you took an improbability like 10-6 at unquestioning face value and then cleverly questioned all the evidence which could've overcome that prior improbability, and so, in practice, you can never climb out of the epistemological sinkhole.  By the same token, you should conclude that you are just self-deluded about being an Earthling since real Earthlings are so rare and privileged in their leverage.

In general, leverage penalties don't translate into advice about modesty or that you're just deluding yourself - they just say that to be rationally coherent, your picture of the universe has to imply that your sensory experiences are at least as rare as the corresponding magnitude of your leverage.

Which brings us back to Pascal's Mugger, in the original alleyway version.  The Hansonian leverage penalty seems to imply that to be coherent, either you believe that your sensory experiences are really actually 1 in a googolplex - that only 1 in a googolplex beings experiences what you're experiencing - or else you really can't take the situation at face value.

Suppose the Mugger is telling the truth, and a googolplex other people are being simulated.  Then there are at least a googolplex people in the universe.  Perhaps some of them are hallucinating a situation similar to this one by sheer chance?  Rather than telling you flatly that you can't have a large impact, the Hansonian leverage penalty implies a coherence requirement on how uniquely you think your sensory experiences identify the position you believe yourself to occupy.  When it comes to believing you're one of 1011 Earthlings who can impact 1080 other life-centuries, you need to think your sensory experiences are unique to Earthlings - identify Earthlings with a likelihood ratio on the order of 1069.  This is quite achievable, if we take the evidence at face value.  But when it comes to improbability on the order of 1/3↑↑↑3, the prior improbability is inescapable - your sensory experiences can't possibly be that unique - which is assumed to be appropriate because almost-everyone who ever believes they'll be in a position to help 3↑↑↑3 people will in fact be hallucinating.  Boltzmann brains should be much more common than people in a unique position to affect 3↑↑↑3 others, at least if the causal graphs are finite.

Furthermore - although I didn't realize this part until recently - applying Bayesian updates from that starting point may partially avert the Pascal's Muggle effect:

Mugger:  "Give me five dollars, and I'll save 3↑↑↑3 lives using my Matrix Powers."

You:  "Nope."

Mugger:  "Why not?  It's a really large impact."

You:  "Yes, and I assign a probability on the order of 1 in 3↑↑↑3 that I would be in a unique position to affect 3↑↑↑3 people."

Mugger:  "Oh, is that really the probability that you assign?  Behold!"

(A gap opens in the sky, edged with blue fire.)

Mugger:  "Now what do you think, eh?"

You:  "Well... I can't actually say this observation has a likelihood ratio of 3↑↑↑3 to 1.  No stream of evidence that can enter a human brain over the course of a century is ever going to have a likelihood ratio larger than, say, 101026 to 1 at the absurdly most, assuming one megabit per second of sensory data, for a century, each bit of which has at least a 1-in-a-trillion error probability.  I'd probably start to be dominated by Boltzmann brains or other exotic minds well before then."

Mugger:  "So you're not convinced."

You:  "Indeed not.  The probability that you're telling the truth is so tiny that God couldn't find it with an electron microscope.  Here's the five dollars."

Mugger:  "Done!  You've saved 3↑↑↑3 lives!  Congratulations, you're never going to top that, your peak life accomplishment will now always lie in your past.  But why'd you give me the five dollars if you think I'm lying?"

You:  "Well, because the evidence you did present me with had a likelihood ratio of at least a billion to one - I would've assigned less than 10-9 prior probability of seeing this when I woke up this morning - so in accordance with Bayes's Theorem I promoted the probability from 1/3↑↑↑3 to at least 109/3↑↑↑3, which when multiplied by an impact of 3↑↑↑3, yields an expected value of at least a billion lives saved for giving you five dollars."

I confess that I find this line of reasoning a bit suspicious - it seems overly clever.  But on the level of intuitive virtues of rationality, it does seem less stupid than the original Pascal's Muggle; this muggee is at least behaviorally reacting to the evidence.  In fact, they're reacting in a way exactly proportional to the evidence - they would've assigned the same net importance to handing over the five dollars if the Mugger had offered 3↑↑↑4 lives, so long as the strength of the evidence seemed the same.

(Anyone who tries to apply the lessons here to actual x-risk reduction charities (which I think is probably a bad idea), keep in mind that the vast majority of the improbable-position-of-leverage in any x-risk reduction effort comes from being an Earthling in a position to affect the future of a hundred billion galaxies, and that sensory evidence for being an Earthling is what gives you most of your belief that your actions can have an outsized impact.)

So why not just run with this - why not just declare the decision-theoretic problem resolved, if we have a rule that seems to give reasonable behavioral answers in practice?  Why not just go ahead and program that rule into an AI?

Well... I still feel a bit nervous about the idea that Pascal's Muggee, after the sky splits open, is handing over five dollars while claiming to assign probability on the order of 109/3↑↑↑3 that it's doing any good.

I think that my own reaction in a similar situation would be along these lines instead:

Mugger:  "Give me five dollars, and I'll save 3↑↑↑3 lives using my Matrix Powers."

Me:  "Nope."

Mugger:  "So then, you think the probability I'm telling the truth is on the order of 1/3↑↑↑3?"

Me:  "Yeah... that probably has to follow.  I don't see any way around that revealed belief, given that I'm not actually giving you the five dollars.  I've heard some people try to claim silly things like, the probability that you're telling the truth is counterbalanced by the probability that you'll kill 3↑↑↑3 people instead, or something else with a conveniently equal and opposite utility.  But there's no way that things would balance out exactly in practice, if there was no a priori mathematical requirement that they balance.  Even if the prior probability of your saving 3↑↑↑3 people and killing 3↑↑↑3 people, conditional on my giving you five dollars, exactly balanced down to the log(3↑↑↑3) decimal place, the likelihood ratio for your telling me that you would "save" 3↑↑↑3 people would not be exactly 1:1 for the two hypotheses down to the log(3↑↑↑3) decimal place.  So if I assigned probabilities much greater than 1/3↑↑↑3 to your doing something that affected 3↑↑↑3 people, my actions would be overwhelmingly dominated by even a tiny difference in likelihood ratio elevating the probability that you saved 3↑↑↑3 people over the probability that you did something bad to them.  The only way this hypothesis can't dominate my actions - really, the only way my expected utility sums can converge at all - is if I assign probability on the order of 1/3↑↑↑3 or less.  I don't see any way of escaping that part."

Mugger:  "But can you, in your mortal uncertainty, truly assign a probability as low as 1 in 3↑↑↑3 to any proposition whatever?  Can you truly believe, with your error-prone neural brain, that you could make 3↑↑↑3 statements of any kind one after another, and be wrong, on average, about once?"

Me:  "Nope."

Mugger:  "So give me five dollars!"

Me:  "Nope."

Mugger:  "Why not?"

Me:  "Because even though I, in my mortal uncertainty, will eventually be wrong about all sorts of things if I make enough statements one after another, this fact can't be used to increase the probability of arbitrary statements beyond what my prior says they should be, because then my prior would sum to more than 1.  There must be some kind of required condition for taking a hypothesis seriously enough to worry that I might be overconfident about it -"

Mugger:  "Then behold!"

(A gap opens in the sky, edged with blue fire.)

Mugger:  "Now what do you think, eh?"

Me (staring up at the sky):  "...whoa."  (Pause.)  "You turned into a cat."

Mugger:  "What?"

Me:  "Private joke.  Okay, I think I'm going to have to rethink a lot of things.  But if you want to tell me about how I was wrong to assign a prior probability on the order of 1/3↑↑↑3 to your scenario, I will shut up and listen very carefully to what you have to say about it.  Oh, and here's the five dollars, can I pay an extra twenty and make some other requests?"

(The thought bubble pops, and we return to two people standing in an alley, the sky above perfectly normal.)

Mugger:  "Now, in this scenario we've just imagined, you were taking my case seriously, right?  But the evidence there couldn't have had a likelihood ratio of more than 101026 to 1, and probably much less.  So by the method of imaginary updates, you must assign probability at least 10-1026 to my scenario, which when multiplied by a benefit on the order of 3↑↑↑3, yields an unimaginable bonanza in exchange for just five dollars -"

Me:  "Nope."

Mugger:  "How can you possibly say that?  You're not being logically coherent!"

Me:  "I agree that I'm not being logically coherent, but I think that's acceptable in this case."

Mugger:  "This ought to be good.  Since when are rationalists allowed to deliberately be logically incoherent?"

Me:  "Since we don't have infinite computing power -"

Mugger:  "That sounds like a fully general excuse if I ever heard one."

Me:  "No, this is a specific consequence of bounded computing power.  Let me start with a simpler example.  Suppose I believe in a set of mathematical axioms.  Since I don't have infinite computing power, I won't be able to know all the deductive consequences of those axioms.  And that means I will necessarily fall prey to the conjunction fallacy, in the sense that you'll present me with a theorem X that is a deductive consequence of my axioms, but which I don't know to be a deductive consequence of my axioms, and you'll ask me to assign a probability to X, and I'll assign it 50% probability or something.  Then you present me with a brilliant lemma Y, which clearly seems like a likely consequence of my mathematical axioms, and which also seems to imply X - once I see Y, the connection from my axioms to X, via Y, becomes obvious.  So I assign P(X&Y) = 90%, or something like that.  Well, that's the conjunction fallacy - I assigned P(X&Y) > P(X).  The thing is, if you then ask me P(X), after I've seen Y, I'll reply that P(X) is 91% or at any rate something higher than P(X&Y).  I'll have changed my mind about what my prior beliefs logically imply, because I'm not logically omniscient, even if that looks like assigning probabilities over time which are incoherent in the Bayesian sense."

Mugger:  "And how does this work out to my not getting five dollars?"

At some point, we're going to have to build some sort of actual prior into, you know, some sort of actual self-improving AI.

(Scary thought, right?)

So far as I can presently see, the logic requiring some sort of leverage penalty - not just so that we don't pay \$5 to Pascal's Mugger, but also so that our expected utility sums converge at all - seems clear enough that I can't yet see a good alternative to it (feel welcome to suggest one), and Robin Hanson's rationale is by far the best I've heard.

In fact, what we actually need is more like a combined leverage-and-complexity penalty, to avoid scenarios like this:

Mugger:  "Give me \$5 and I'll save 3↑↑↑3 people."

You:  "I assign probability exactly 1/3↑↑↑3 to that."

Mugger:  "So that's one life saved for \$5, on average.  That's a pretty good bargain, right?"

You:  "Not by comparison with x-risk reduction charities.  But I also like to do good on a smaller scale now and then.  How about a penny?  Would you be willing to save 3↑↑↑3/500 lives for a penny?"

Mugger:  "Eh, fine."

You:  "Well, the probability of that is 500/3↑↑↑3, so here's a penny!"  (Goes on way, whistling cheerfully.)

Adding a complexity penalty and a leverage penalty is necessary, not just to avert this exact scenario, but so that we don't get an infinite expected utility sum over a 1/3↑↑↑3 probability of saving 3↑↑↑3 lives, 1/(3↑↑↑3 + 1) probability of saving 3↑↑↑3 + 1 lives, and so on.  If we combine the standard complexity penalty with a leverage penalty, the whole thing should converge.

Probability penalties are epistemic features - they affect what we believe, not just what we do.  Maps, ideally, correspond to territories.  Is there any territory that this complexity+leverage penalty can correspond to - any state of a single reality which would make these the true frequencies?  Or is it only interpretable as pure uncertainty over realities, with there being no single reality that could correspond to it?  To put it another way, the complexity penalty and the leverage penalty seem unrelated, so perhaps they're mutually inconsistent; can we show that the union of these two theories has a model?

As near as I can figure, the corresponding state of affairs to a complexity+leverage prior improbability would be a Tegmark Level IV multiverse in which each reality got an amount of magical-reality-fluid corresponding to the complexity of its program (1/2 to the power of its Kolmogorov complexity) and then this magical-reality-fluid had to be divided among all the causal elements within that universe - if you contain 3↑↑↑3 causal nodes, then each node can only get 1/3↑↑↑3 of the total realness of that universe.  (As always, the term "magical reality fluid" reflects an attempt to demarcate a philosophical area where I feel quite confused, and try to use correspondingly blatantly wrong terminology so that I do not mistake my reasoning about my confusion for a solution.)  This setup is not entirely implausible because the Born probabilities in our own universe look like they might behave like this sort of magical-reality-fluid - quantum amplitude flowing between configurations in a way that preserves the total amount of realness while dividing it between worlds - and perhaps every other part of the multiverse must necessarily work the same way for some reason.  It seems worth noting that part of what's motivating this version of the 'territory' is that our sum over all real things, weighted by reality-fluid, can then converge.  In other words, the reason why complexity+leverage works in decision theory is that the union of the two theories has a model in which the total multiverse contains an amount of reality-fluid that can sum to 1 rather than being infinite.  (Though we need to suppose that either (a) only programs with a finite number of causal nodes exist, or (2) programs can divide finite reality-fluid among an infinite number of nodes via some measure that gives every experience-moment a well-defined relative amount of reality-fluid.  Again see caveats about basic philosophical confusion - perhaps our map needs this property over its uncertainty but the territory doesn't have to work the same way, etcetera.)

If an AI's overall architecture is also such as to enable it to carry out the "You turned into a cat" effect - where if the AI actually ends up with strong evidence for a scenario it assigned super-exponential improbability, the AI reconsiders its priors and the apparent strength of evidence rather than executing a blind Bayesian update, though this part is formally a tad underspecified - then at the moment I can't think of anything else to add in.

In other words:  This is my best current idea for how a prior, e.g. as used in an AI, could yield decision-theoretic convergence over explosively large possible worlds.

However, I would still call this a semi-open FAI problem (edit: wide-open) because it seems quite plausible that somebody is going to kick holes in the overall view I've just presented, or come up with a better solution, possibly within an hour of my posting this - the proposal is both recent and weak even by my standards.  I'm also worried about whether it turns out to imply anything crazy on anthropic problems.  Over to you, readers.

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I don't like to be a bearer of bad news here, but it ought to be stated. This whole leverage ratio idea is very obviously an intelligent kludge / patch / work around because you have two base level theories that either don't work together or don't work individually.

You already know that something doesn't work. That's what the original post was about and that's what this post tries to address. But this is a clunky inelegant patch, that's fine for a project or a website, but given belief in the rest of your writings on AI, this is high stakes. At those stakes saying "we know it doesn't work, but we patched the bugs we found" is not acceptable.

The combination of your best guess at picking the rigtht decision theory and your best guess at epistemology produces absurd conclusions. Note that you allready know this. This knowledge which you already have motivated this post.

The next step is to identify which is wrong, the decision theory or the epistemology. After that you need to find something that's not wrong to replace it. That sucks, it's probably extreamly hard, and it probably sets you back to square one on multiple points. But you can't know that one of your foundations is wrong and just keep going. Once you know you are wrong you need to act consistently with that.

6drnickbone
I'm not sure that the kludge works anyway, since there are still some "high impact" scenarios which don't get kludged out. Let's imagine the mugger's pitch is as follows. "I am the Lord of the Matrix, and guess what - you're in it! I'm in the process of running a huge number of simulations of human civilization, in series, and in each run of the simulation I am making a very special offer to some carefully selected people within it. If you are prepared to hand over \$5 to me, I will kindly prevent one dust speck from entering the eye of one person in each of the next googleplex simulations that I run! Doesn't that sound like a great offer?" Now, rather naturally, you're going to tell him to get lost. And in the worlds where there really is a Matrix Lord, and he's telling the truth, the approached subjects almost always tell him to get lost as well (the Lord is careful in whom he approaches), which means that googleplexes of preventable dust specks hit googleplexes of eyes. Each rejection of the offer causes a lower total utility than would be obtained from accepting it. And if those worlds have a measure > 1/googleplex, there is on the face of it a net loss in expected utility. More likely, we're just going to get non-convergent expected utilities again. The general issue is that the causal structure of the hypothetical world is highly linear. A reasonable proportion of nodes (perhaps 1 in a billion) do indeed have the ability to affect a colossal number of other nodes in such a world. So the high utility outcome doesn't get suppressed by a locational penalty.
3Eliezer Yudkowsky
I'd be more worried about that if I couldn't (apparently) visualize what a corresponding Tegmark Level IV universe looks like. If the union of two theories has a model, they can't be mutually inconsistent. Whether this corresponding multiverse is plausible is a different problem.
4[anonymous]
Why is decision/probability theory allowed to constrain the space of "physical" models? It seems that the proper theory should not depend on metaphysical assumptions. If they are starting to require uncertain metaphysical assumptions, I think that counts as "not working together".
4Jack
Metaphysical assumptions are one thing: this one involves normative assumptions. There is zero reason to think we evolved values that can make any sense at all of saving 3^^^3 people. The software we shipped with cannot take numbers like that in it's domain. That we can think up thought experiments that confuse our ethical intuitions is already incredibly likely. Coming up with kludgey methods to make decisions that give intuitively correct answers to the thought experiments while preserving normal normative reasoning and then--- from there--- concluding something about what the universe must be like is a really odd epistemic position to take.
2Eliezer Yudkowsky
I'm not familiar with any certain metaphysical assumptions. And the constraint here is along the lines of "things converge" where it is at least plausible that reality has to converge too. (Small edit made to final paragraphs to reflect this.)
0shminux
That's the part that starts grating on me. Especially when Eliezer mentions Tegmark Level IV with a straight face. I assume that I do not grok his meaning in fullness. If he means what I think he means, it would be a great disappointment.
[-]TimS180

shminux,

It's just a fact that you endorse a very different theory of "reality" than Eliezer. Why disguise your reasonable disagreement with him by claiming that you don't understand him?

You talk like you don't notice when highly-qualified-physicist shminux is talking and when average-armchair-philosopher shminux is talking.

Which is annoying to me in particular because physicist shminux knows a lot more than I, and I should pay attention to what he says in order to be less wrong, while philosopher shminux is not entitled to the same weight. So I'd like some markers of which one is talking.

I thought I was pretty clear re the "markers of which one is talking". But let me recap.

Eliezer has thought about metaethics, decision theories and AI design for much much longer time and much much more seriously than I have. I can see that when I read what he writes about the issues I have not even thought of. While I cannot tell if it is correct, I can certainly tell that there is a fair amount of learning I still have to do if I wanted to be interesting. This is the same feeling I used to get (and still get on occasion) when talking with an expert in, say, General Relativity, before I learned the subject in sufficient depth. Now that I have some expertise in the area, I see the situation from the other side, as well. I can often recognize a standard amateurish argument before the person making it has finished. I often know exactly what implicit false premises lead to this argument, because I had been there myself. If I am lucky, I can successfully point out the problematic assumptions to the amateur in question, provided I can simplify it to the proper level. If so, the reaction I get is "that's so cool... so deep... I'll go and ponder it, Thank you, Master!"...

Even if the field X is confused, to confidently dismiss subtheory Y you must know something confidently about Y from within this confusion, such as that Y is inconsistent or nonreductionist or something. I often occupy this mental state myself but I'm aware that it's 'arrogant' and setting myself above everyone in field X who does think Y is plausible - for example, I am arrogant with respect to respected but elderly physicists who think single-world interpretations of QM are plausible, or anyone who thinks our confusion about the ultimate nature of reality can keep the God subtheory in the running. Our admitted confusion does not permit that particular answer to remain plausible.

I don't think anyone I take seriously would deny that the field of anthropics / magical-reality-fluid is confused. What do you think you know about all computable processes, or all logical theories with models, existing, which makes that obviously impermitted? In case it's not clear, I wasn't endorsing Tegmark Level IV as the obvious truth the way I consider MWI obvious, nor yet endorsing it at all, rather I was pointing out that with some further specification a version of T4 could provide a model in ...

0shminux
Maybe I was unclear. I don't dismiss Y=TL4 as wrong, I ignore it as untestable and therefore useless for justifying anything interesting, like how an AI ought to deal with tiny probabilities of enormous utilities. I agree that I am "arrogant" here, in the sense that I discount an opinion of a smart and popular MIT prof as misguided. The postulate "mathematical existence = physical existence" raises a category error exception for me, as one is, in your words, logic, the other is physics. In fact, I don't understand why privilege math to begin with. Maybe the universe indeed does not run on math (man, I still chuckle every time I recall that omake). Maybe the trouble we have with understanding the world is that we rely on math too much (sorry, getting too Chopra here). Maybe the matrix lord was a sloppy programmer whose bugs and self-contradictory assumptions manifest themselves to us as black hole singularities, which are hidden from view only because the code maintainers did a passable job of acting on the QA reports. There are many ideas which are just as pretty and just as unjustifiable as TL4. I don't pretend to fully grok the "complexity+leverage penalty" idea, except to say that your dark energy example makes me think less of it, as it seems to rely on considerations I find dubious (that any model with the potential of affecting gazillions of people in the far future if accurate is extremely unlikely despite being the currently best map available). Is it arrogant? Probably. Is it wrong? Not unless you prove the alternative right.
9endoself
He's not saying that the leverage penalty might be correct because we might live in a certain type of Tegmark IV, he's saying that the fact that the leverage penalty would be correct if we did live in Tegmark IV + some other assumptions shows (a) that it is a consistent decision procedure and¹ (b) it is the sort of decision procedure that emerges reasonably naturally and is thus a more reasonable hypothesis than if we didn't know it comes up natuarally like that. It is possible that it is hard to communicate here since Eliezer is making analogies to model theory, and I would assume that you are not familiar with model theory. ¹ The word 'and' isn't really correct here. It's very likely that EY means one of (a) and (b), and possibly both.
1Eliezer Yudkowsky
(Yep. More a than b, it still feels pretty unnatural to me.)
2shminux
Huh. This whole exchange makes me more certain than I am missing something crucial, but reading and dissecting it repeatedly does not seem to help. And apparently it's not the issue of not knowing enough math. I guess the mental block I can't get over is "why TL4?". Or maybe "what other mental constructs could one use in place of TL4 to make a similar argument?" Maybe paper-machine or someone else on #lesswrong will be able to clarify this.
2Eliezer Yudkowsky
Have you got one?
0shminux
Not sure why you are asking, but yes, I pointed some out 5 levels up. They clearly have a complexity penalty, but I am not sure how much vs TL4. At least I know that the "sloppy programmer" construct is finite (though possibly circular). I am not sure how to even begin to estimate the Kolmogorov complexity of "everything mathematically possible exists physically". What Turing machine would output all possible mathematical structures?
2FeepingCreature
"Loop infinitely, incrementing count from 1: [Let steps be count. Iterate all legal programs until steps = 0 into prog: [Load submachine state from "cache tape". Execute one step of prog, writing output to "output tape". Save machine state onto "cache tape". Decrement steps.] ]" The output of every program is found on the output tape (albeit at intervals). I'm sure one could design the Turing machine so that it reordered the output tape with every piece of data written so that they're in order too, if you want that. Or make it copypaste the entire output so far to the end of the tape, so that every number of evaluation steps for every Turing machine has its own tape location. Seemed a little wasteful though. edit: THANK YOU GWERN . This is indeed what I was thinking of :D
1[anonymous]
Hey, don't look at me. I'm with you on "Existence of T4 is untestable therefore boring."
0shminux
You are right, I am out of my depth math-wise. Maybe that's why I can't see the relevance of an untestable theory to AI design.

Maybe that's why I can't see the relevance of an untestable theory to AI design.

It seems to be the problem that is relevant to AI design. How does an expected utility maximising agent handle edge cases and infinitesimals given logical uncertainty and bounded capabilities? If you get that wrong then Rocks Fall and Everyone Dies. The relevance of any given theory of how such things can be modelled is then based on either suitability for use in an AI design (or conceivably the implications if an AI constructed and used said model).

2Eliezer Yudkowsky
(Also yep.)
0homunq
TL4, or at least (TL4+some measure theory that gives calculable and sensible answers), is not entirely unfalsifiable. For instance, it predicts that a random observer (you) should live in a very "big" universe. Since we have plausible reasons to believe TL0-TL3 (or at least, I think we do), and I have a very hard time imagining specific laws of physics that give "bigger" causal webs than you get from TL0-TL3, that gives me some weak evidence for TL4; it could have been falsified but wasn't. It seems plausible that that's the only evidence we'll ever get regarding TL4. If so, I'm not sure that either of the terms "testable" or "untestable" apply. "Testable" means "susceptible to reproducible experiment"; "untestable" means "unsusceptible to experiment"; so what do you call something in between, which is susceptible only to limited and irreproducible evidence? Quasitestable? Of course, you could still perhaps say "I ignore it as only quasitestable and therefore useless for justifying anything interesting".
-1hairyfigment
TL4 seems testable by asking what a 'randomly chosen' observer would expect to see. In fact, the simplest version seems falsified by the lack of observed discontinuities in physics (of the 'clothes turn into a crocodile' type). Variants of TL4 that might hold seem untestable right now. But we could see them as ideas or directions for groping towards a theory, rather than complete hypotheses. Or it might happen that when we understand anthropics better, we'll see an obvious test. (Or the original hypothesis might turn out to work, but I strongly doubt that.)
3Kawoomba
'Splain yo'self.
0shminux

Mugger: Give me five dollars, and I'll save 3↑↑↑3 lives using my Matrix Powers.

Me: I'm not sure about that.

Mugger: So then, you think the probability I'm telling the truth is on the order of 1/3↑↑↑3?

Me: Actually no. I'm just not sure I care as much about your 3↑↑↑3 simulated people as much as you think I do.

Mugger: "This should be good."

Me: There's only something like n=10^10 neurons in a human brain, and the number of possible states of a human brain exponential in n. This is stupidly tiny compared to 3↑↑↑3, so most of the lives you're saving will be heavily duplicated. I'm not really sure that I care about duplicates that much.

Mugger: Well I didn't say they would all be humans. Haven't you read enough Sci-Fi to know that you should care about all possible sentient life?

Me: Of course. But the same sort of reasoning implies that, either there are a lot of duplicates, or else most of the people you are talking about are incomprehensibly large, since there aren't that many small Turing machines to go around. And it's not at all obvious to me that you can describe arbitrarily large minds whose existence I should care about without using up a lot of complexity. More generally, I can't see any way to describe worlds which I care about to a degree that vastly outgrows their complexity. My values are complicated.

I'm not really sure that I care about duplicates that much.

Bostrom would probably try to argue that you do. See Bostrom (2006).

9TabAtkins
Am I crazy, or does Bostrom's argument in that paper fall flat almost immediately, based on a bad moral argument? His first, and seemingly most compelling, argument for Duplication over Unification is that, assuming an infinite universe, it's certain (with probability 1) that there is already an identical portion of the universe where you're torturing the person in front of you. Given Unification, it's meaningless to distinguish between that portion and this portion, given their physical identicalness, so torturing the person is morally blameless, as you're not increasing the number of unique observers being tortured. Duplication makes the two instances of the person distinct due to their differing spatial locations, even if every other physical and mental aspect is identical, so torturing is still adding to the suffering in the universe. However, you can flip this over trivially and come to a terrible conclusion. If Duplication is true, you merely have to simulate a person until they experience a moment of pure hedonic bliss, in some ethically correct manner that everyone agrees is morally good to experience and enjoy. Then, copy the fragment of the simulation covering the experiencing of that emotion, and duplicate it endlessly. Each duplicate is distinct, and so you're increasing the amount of joy in the universe every time you make a copy. It would be a net win, in fact, if you killed every human and replaced the earth with a computer doing nothing but running copies of that one person experiencing a moment of bliss. Unification takes care of this, by noting that duplicating someone adds, at most, a single bit of information to the universe, so spamming the universe with copies of the happy moment counts either the same as the single experience, or at most a trivial amount more. Am I thinking wrong here?
5Tehom
True just if your summum bonum is exactly an aggregate of moments of happiness experienced. I take the position that it is not. I don't think one even has to resort to a position like "only one copy counts".
0TabAtkins
True, but that's then striking more at the heart of Bostrom's argument, rather than my counter-argument, which was just flipping Bostrom around. (Unless your summum malum is significantly different, such that duplicate tortures and duplicate good-things-equivalent-to-torture-in-emotional-effect still sum differently?)
0Pentashagon
I'd argue that the torture portion is not identical to the not-torture portion and that the difference is caused by at least one event in the common prior history of both portions of the universe where they diverged. Unification only makes counterfactual worlds real; it does not cause every agent to experience every counterfactual world. Agents are differentiated by the choices they make and agents who perform torture are not the same agents as those who abstain from torture. The difference can be made arbitrarily small, for instance by choosing an agent with a 50% probability of committing torture based on the outcome of a quantum coin flip, but the moral question in that case is why an agent would choose to become 50% likely to commit torture in the first place. Some counterfactual agents will choose to become 50% likely to commit torture, but they will be very different than the agents who are 1% likely to commit torture.
0TabAtkins
I think you're interpreting Bostrom slightly wrong. You seem to be reading his argument (or perhaps just my short distillation of it) as arguing that you're not currently torturing someone, but there's an identical section of the universe elsewhere where you are torturing someone, so you might as well start torturing now. As you note, that's contradictory - if you're not currently torturing, then your section of the universe must not be identical to the section where the you-copy is torturing. Instead, assume that you are currently torturing someone. Bostrom's argument is that you're not making the universe worse, because there's a you-copy which is torturing an identical person elsewhere in the universe. At most one of your copies is capable of taking blame for this; the rest are just running the same calculations "a second time", so to say. (Or at least, that's what he's arguing that Unification would say, and using this as a reason to reject it and turn to Duplication, so each copy is morally culpable for causing new suffering.)
[-]Benya100

I think it not unlikely that if we have a successful intelligence explosion and subsequently discover a way to build something 4^^^^4-sized, then we will figure out a way to grow into it, one step at a time. This 4^^^^4-sized supertranshuman mind then should be able to discriminate "interesting" from "boring" 3^^^3-sized things. If you could convince the 4^^^^4-sized thing to write down a list of all nonboring 3^^^3-sized things in its spare time, then you would have a formal way to say what an "interesting 3^^^3-sized thing" is, with description length (the description length of humanity = the description length of our actual universe) + (the additional description length to give humanity access to a 4^^^^4-sized computer -- which isn't much because access to a universal Turing machine would do the job and more).

Thus, I don't think that it needs a 3^^^3-sized description length to pick out interesting 3^^^3-sized minds.

6DanielLC
Me: Actually no. I'm just not sure I care as much about your 3↑↑↑3 simulated people as much as you think I do. Mugger: So then, you think the probability that you should care as much about my 3↑↑↑3 simulated people as I thought you did is on the order of 1/3↑↑↑3?
5earthwormchuck163
After thinking about it a bit more I decided that I actually do care about simulated people almost exactly as the mugger thought I did.
2brainoil
Didn't you feel sad when Yoona-939 was terminated, or wish all happiness for Sonmi-451?
6Luke_A_Somers
All the other Yoona-939s were fine, right? And that Yoona-939 was terminated quickly enough to prevent divergence, wasn't she? (my point is, you're making it seem like you're breaking the degeneracy by labeling them. But their being identical is deep)
2Eliezer Yudkowsky
But now she's... you know... now she's... (wipes away tears) slightly less real.
5Luke_A_Somers
You hit pretty strong diminishing returns on existence once you've hit the 'at least one copy' point.
-2Jack
Clones aren't duplicates. They may have started out as duplicates but they were not by the time the reader is introduced to them.
0[anonymous]
Benja's method is better and more clearly right, but here's another interesting one. Start from me now. At every future moment when there are two possible valuable next experiences for me, make two copies of me, have the first experience one and the second the other. Allow me to grow if it's valuable. Continue branching and growing until 3^^^3 beings have been generated.
0[anonymous]
"The kind of mind I would like to grow into if I had 3^^^3 years"
0abramdemski
I agree with most of this. I think it is plausible that the value of a scenario is in some sense upper-bounded by its description length, so that we need on the order of googolplex bits to describe a googolplex of value. We can separately ask if this solves the problem. One may want a theory which solves the problem regardless of utility function; or, aiming lower, one may be satisfied to find a class of utility functions which seem to capture human intuition well enough.
1abramdemski
Upper-bounding utility by description complexity doesn't actually capture the intuition, since a simple universe could give rise to many complex minds.

This post has not at all misunderstood my suggestion from long ago, though I don't think I thought about it very much at the time. I agree with the thrust of the post that a leverage factor seems to deal with the basic problem, though of course I'm also somewhat expecting more scenarios to be proposed to upset the apparent resolution soon.

Hm, a linear "leverage penalty" sounds an awful lot like adding the complexity of locating you of the pool of possibilities to the total complexity.

Thing 2: consider the case of the other people on that street when the Pascal's Muggle-ing happens. Suppose they could overhear what is being said. Since they have no leverage of their own, are they free to assign a high probability to the muggle helping 3^^^3 people? Do a few of them start forward to interfere, only to be held back by the cooler heads who realize that all who interfere will suddenly have the probability of success reduced by a factor of 3^^^3?

9Eliezer Yudkowsky
This is indeed a good argument for viewing the leverage penalty as a special case of a locational penalty (which I think is more or less what Hanson proposed to begin with).

Suppose we had a planet of 3^^^3 people (their universe has novel physical laws). There is a planet-wide lottery. Catherine wins. There was a 1/3^^^3 chance of this happening. The lotto representative comes up to her and asks her to hand over her ID card for verification.

All over the planet, as a fun prank, a small proportion of people have been dressing up as lotto representatives and running away with peoples' ID cards. This is very rare - only one person in 3^^3 does this today.

If the lottery prize is 3^^3 times better than getting your ID card stolen, should Catherine trust the lotto official? No, because there are 3^^^3/3^^3 pranksters, and only 1 real official, and 3^^^3/3^^3 is 3^^(3^^3 - 3), which is a whole lot of pranksters. She hangs on to her card, and doesn't get the prize. Maybe if the reward were 3^^^3 times greater than the penalty, we could finally get some lottery winners to actually collect their winnings.

All of which is to say, I don't think there's any locational penalty - the crowd near the muggle should have exactly the same probability assignments as her, just as the crowd near Catherine has the same probability assignments as her about whether this i...

-1hairyfigment
Really? I was going to say that the argument need not mention the muggle at all, since the mugger is also one person among 3^^^3.

A simplified version of the argument here:

• The utility function isn't up for grabs.
• Therefore, we need unbounded utility.
• Oops! If we allow unbounded utility, we can get non-convergence in our expectation.
• Since we've already established that the utility function is not up for grabs, let's try and modify the probability to fix this!

My response to this is that the probability distribution is even less up for grabs. The utility, at least, is explicitly there to reflect our preferences. If we see that a utility function is causing our agent to take the wrong actions, then it makes sense to change it to better reflect the actions we wish our agent to take.

The probability distribution, on the other hand, is a map that should reflect the territory as well as possible! It should not be modified on account of badly-behaved utility computations.

This may be taken as an argument in favor of modifying the utility function; Sniffnoy makes a case for bounded utility in another comment.

It could alternatively be taken as a case for modifying the decision procedure. Perhaps neither the probability nor the utility are "up for grabs", but how we use them should be modified.

One (somewhat ...

If the agent defines its utility indirectly in terms of designer's preference, a disagreement in evaluation of a decision by agent's utility function and designer's preference doesn't easily indicate that designer's evaluation is more accurate, and if it's not, then the designer should defer to the agent's judgment instead of adjusting its utility. Similarly, if the agent is good at building its map, it might have a better map than the designer, so a disagreement is not easily resolved in favor of the designer. On the other hand, there can be a bug in agent's world modeling code in which case it should be fixed! And similarly, if there is a bug in agent's indirect utility definition, it too should be fixed. The arguments seem analogous to me, so why would preference be more easily debugged than world model?
0Qiaochu_Yuan
Really? In practice I have a great deal of uncertainty about both my utility function and my probability estimates. Accurate probability estimates require the ability to accurately model the world, and this seems incredibly hard in general. It's not at all clear to me that instrumental rationality means trusting your current probability estimates if you have reason to believe that future evidence will drastically change them or that they're corrupted for some other reason (even an otherwise flawlessly designed AI has to worry about cosmic rays flipping the bits in its memory or, Omega forbid, its source code).
1abramdemski
I am definitely not saying "trust your current probability estimates". What I'm saying is that probability should reflect reality as closely as possible, whereas utility should reflect preferences as closely as possible. Modifying the preference function in an ad-hoc way to get the right behavior is a bad idea, but modifying our expectation about how reality actually might be is even worse. The probability function should be modified exclusively in response to considerations about how reality might be. The utility function should be modified exclusively in response to considerations about our preferences.

I have a problem with calling this a "semi-open FAI problem", because even if Eliezer's proposed solution turns out to be correct, it's still a wide open problem to develop arguments that can allow us to be confident enough in it to incorporate it into an FAI design. This would be true even if nobody can see any holes in it or have any better ideas, and doubly true given that some FAI researchers consider a different approach (which assumes that there is no such thing as "reality-fluid", that everything in the multiverse just exists and as a matter of preference we do not / can not care about all parts of it in equal measure, #4 in this post) to be at least as plausible as Eliezer's current approach.

5Eliezer Yudkowsky
You're right. Edited.
2paulfchristiano
In my view, we could make act-based agents without answering this or any similar questions. So I'm much less interested in answering them then I used to be. (There are possible approaches that do have to answer all of these questions, but at this point they seem very much less promising to me.) We've briefly discussed this issue in the abstract, but I'm curious to get your take in a concrete case. Does that seem right to you? Do you think that we need to understand issues like this one, and have confidence in that understanding, prior to building powerful AI systems?
1Wei Dai
FAI designs that require high confidence solutions to many philosophical problems also do not seem very promising to me at this point. I endorse looking for alternative approaches. I agree that act-based agents seem to require fewer high confidence solutions to philosophical problems. My main concern with act-based agents is that these designs will be in competition with fully autonomous AGIs (either alternative designs, or act-based agents that evolve into full autonomy due to inadequate care of their owners/users) to colonize the universe. The dependence on humans and lack of full autonomy in act-based agents seem likely to cause a significant weakness in at least one crucial area of this competition, such as general speed/efficiency/creativity, warfare (conventional, cyber, psychological, biological, nano, etc.), cooperation/coordination, self-improvement, and space travel. So even if these agents turn out to be "safe", I'm not optimistic that we "win" in the long run. My own idea is to aim for FAI designs that can correct their philosophical errors, autonomously, the same way that we humans can. Ideally, we'd fully understand how humans reason about philosophical problems and how philosophy normatively ought to be done before programming or teaching that to an AI. But realistically, due to time pressure, we might have to settle for something suboptimal like teaching through examples of human philosophical reasoning. Of course there's lots of ways for this kind of AI to go wrong as well, so I also consider it to be a long shot. Let me ask you a related question. Suppose act-based designs are as successful as you expect them to be. We still need to understand issues like the one described in Eliezer's post (or solve the meta-problem of understanding philosophical reasoning) at some point, right? When do you think that will be? In other words, how much time do you think successfully creating act-based agents buys us?
1paulfchristiano
It's not so much that I have confidence in these approaches, but that I think (1) they are the most natural to explore at the moment, and (2) issues that seem like they can be cleanly avoided for these approaches seem less likely to be fundamental obstructions in general. Whenever such issues bear directly on our decision-making in such a way that making errors would be really bad. For example, when we encounter a situation where we face a small probability of a very large payoff, then it matters how well we understand the particular tradeoff at hand. The goal / best case is that the development of AI doesn't depend on sorting out these kinds of considerations for its own sake, only insofar as the AI has to actually make critical choices that depend on these considerations. I wrote a little bit about efficiency here. I don't see why an approval-directed agent would be at a serious disadvantage compared to an RL agent (though I do see why an imitation learner would be at a disadvantage by default, and why an approval-directed agent may be unsatisfying from a safety perspective for non-philosophical reasons). Ideally you would synthesize data in advance in order to operate without access to counterfactual human feedback at runtime---it's not clear if this is possible, but it seems at least plausible. But it's also not clear to me it is necessary, as long as we can tolerate very modest (<1%) overhead from oversight. Of course if such a period goes on long enough then it will be a problem, but that is a slow-burning problem that a superintelligent civilization can address at its leisure. In terms of technical solutions, anything we can think of now will easily be thought of in this future scenario. It seems like the only thing we really lose is the option of technological relinquishment or serious slow-down, which don't look very attractive/feasible at the moment.
1Wei Dai
Isn't a crucial consideration here how soon after the development of AI they will be faced with such choices? If the answer is "soon" then it seems that we should try to solve the problems ahead of time or try to delay AI. What's your estimate? And what do you think the first such choices will be?
3paulfchristiano
I think that we are facing some issues all of the time (e.g. some of these questions probably bear on "how much should we prioritize fast technological development?" or "how concerned should we be with physics disasters?" or so on), but that it will be a long time before we face really big expected costs from getting these wrong. My best guess is that we will get to do many-centuries-of-current-humanity worth of thinking before we really need to get any of these questions right. I don't have a clear sense of what the first choices will be. My view is largely coming from not seeing any serious candidates for critical choices. Anything to do with expansion into space looks like it will be very far away in subjective time (though perhaps not far in calendar time). Maybe there is some stuff with simulations, or value drift, but neither of those look very big in expectation for now. Maybe all of these issues together make 5% difference in expectation over the next few hundred subjective issues? (Though this is a pretty unstable estimate.)
4Wei Dai
How did you arrive at the conclusion that we're not facing big expected costs with these questions? It seems to me that for example the construction of large nuclear arsenals and lack of sufficient safeguards against nuclear war has already caused a large expected cost, and may have been based on one or more incorrect philosophical understandings (e.g., to the question of, what is the right amount of concern for distant strangers and future people). Similarly with "how much should we prioritize fast technological development?" But this is just from intuition since I don't really know how to compute expected costs when the uncertainties involved have a large moral or normative component. Do you expect technological development to have plateaued by then (i.e., AIs will have invented essentially all technologies feasible in this universe)? If so, do you think there won't be any technologies among them that would let some group of people/AIs unilaterally alter the future of the universe according to their understanding of what is normative? (For example, intentionally or accidentally destroy civilization, or win a decisive war against the rest of the world.) Or do you think something like a world government will have been created to control the use of such technologies?
3paulfchristiano
There are lots of things we don't know, and my default presumption is for errors to be non-astronomically-costly, until there are arguments otherwise. I agree that philosophical problems have some stronger claim to causing astronomical damage, and so I am more scared of philosophical errors than e.g. our lack of effective public policy, our weak coordination mechanisms, global warming, the dismal state of computer security. But I don't see really strong arguments for philosophical errors causing great damage, and so I'm skeptical that we are facing big expected costs (big compared to the biggest costs we can identify and intervene on, amongst them AI safety). That is, there seems to be a pretty good case that AI may be built soon, and that we lack the understanding to build AI systems that do what we want, that we will nevertheless build AI systems to help us get what we want in the short term, and that in the long run this will radically reduce the value of the universe. The cases for philosophical errors causing damage are overall much more speculative, have lower stakes, and are less urgent. I agree that philosophical progress would very slightly decrease the probability of nuclear trouble, but this looks like a very small effect. (Orders of magnitude smaller than the effects from say increased global peace and stability, which I'd probably list as a higher priority right now than resolving philosophical uncertainty.) It's possible we disagree about the mechanics of this particular situation. No. I think that 200 years of subjective time probably amounts 5-10 more doublings of the economy, and that technological change is a plausible reason that philosophical error would eventually become catastrophic. I said "best guess" but this really is a pretty wild guess about the relevant timescales. As with the special case of nuclear weapons, I think that philosophical error is a relatively small input into world-destruction. I don't expect this to cause philosop

(As always, the term "magical reality fluid" reflects an attempt to demarcate a philosophical area where I feel quite confused, and try to use correspondingly blatantly wrong terminology so that I do not mistake my reasoning about my confusion for a solution.)

This seems like a really useful strategy!

[-]Kyre130

Agreed - placeholders and kludges should look like placeholders and kludges. I became a happier programmer when I realised this, because up until then I was always conflicted about how much time I should spend making some unsatisfying piece of code look beautiful.

[-]Zaq150

Just thought of something:

How sure are we that P(there are N people) is not at least as small as 1/N for sufficiently large N, even without a leverage penalty? The OP seems to be arguing that the complexity penalty on the prior is insufficient to generate this low probability, since it doesn't take much additional complexity to generate scenarios with arbitrarily more people. Yet it seems to me that after some sufficiently large number, P(there are N people) must drop faster than 1/N. This is because our prior must be normalized. That is:

Sum(all non-negative integers N) of P(there are N people) = 1.

If there was some integer M such that for all n > M, P(there are n people) >= 1/n, the above sum would not converge. If we are to have a normalized prior, there must be a faster-than-1/N falloff to the function P(there are N people).

In fact, if one demands that my priors indicate that my expected average number of people in the universe/multiverse is finite, then my priors must diminish faster than 1/N^2. (So that that the sum of N*P(there are N people) converges).

TL:DR If your priors are such that the probability of there being 3^^^3 people is not smaller than 1/(3^^^3), then you don't have a normalized distribution of priors. If your priors are such that the probability of there being 3^^^3 people is not smaller than 1/((3^^^3)^2) then your expected number of people in the multiverse is divergent/infinite.

4Eliezer Yudkowsky
Hm. Technically for EU differentials to converge we only need that the number of people we expectedly affect sums to something finite, but having a finite expected number of people existing in the multiverse would certainly accomplish that.
-1Paul Crowley
The problem is that the Solomonoff prior picks out 3^^^3 as much more likely than most of the numbers of the same magnitude because it has much lower Kolmogorov complexity.
0Zaq
I'm not familiar with Kolmogorov complexity, but isn't the aparent simplicity of 3^^^3 just an artifact of what notation we happen to have invented? I mean, "^^^" is not really a basic operation in arithmetic. We have a nice compact way of describing what steps are needed to get from a number we intuitively grok, 3, to 3^^^3, but I'm not sure it's safe to say that makes it simple in any significant way. For one thing, what would make 3 a simple number in the first place?
8Paul Crowley
In the nicest possible way, shouldn't you have stopped right there? Shouldn't the appearance of this unfamiliar and formidable-looking word have told you that I wasn't appealing to some intuitive notion of complexity, but to a particular formalisation that you would need to be familiar with to challenge? If instead of commenting you'd Googled that term, you would have found the Wikipedia article that answered this and your next question.
0Gurkenglas
You can as a rough estimate of the complexity of a number take the amount of lines of the shortest program that would compute the number from basic operations. More formally, substitute lines of a program with states of a Turing Machine.
0Zaq
But what numbers are you allowed to start with on the computation? Why can't I say that, for example, 12,345,346,437,682,315,436 is one of the numbers I can do computation from (as a starting point), and thus it has extremely small complexity?
3Kindly
You could say this -- doing so would be like describing your own language in which things involving 12,345,346,437,682,315,436 can be expressed concisely. So Kolmogorov complexity is somewhat language-dependent. However, given two languages in which you can describe numbers, you can compute a constant such that the complexity of any number is off by at most that constant between the two languages. (The constant is more or less the complexity of describing one language in the other). So things aren't actually too bad. But if we're just talking about Turing machines, we presumably express numbers in binary, in which case writing "3" can be done very easily, and all you need to do to specify 3^^^3 is to make a Turing machine computing ^^^.
0Jiro
But can't this constant itself be arbitrarily large when talking about arbitrary numbers? (Of course, for any specific number, it is limited in size.)
3A1987dM
Well... Given any number N, you can in principle invent a programming language where the program do_it outputs N.
1Kindly
The constant depends on the two languages, but not on the number. As army1987 points out, if you pick the number first, and then make up languages, then the difference can be arbitrarily large. (You could go in the other direction as well: if your language specifies that no number less than 3^^^3 can be entered as a constant, then it would probably take approximately log(3^^^3) bits to specify even small numbers like 1 or 2.) But if you pick the languages first, then you can compute a constant based on the languages, such that for all numbers, the optimal description lengths in the two languages differ by at most a constant.
0Jiro
The context this in which this comes up here generally requires something like "there's a way to compare the complexity of numbers which always produces the same results independent of language, except in a finite set of cases. Since that set is finite and my argument doesn't depend on any specific number, I can always base my argument on a case that's not in that set." If that's how you're using it, then you don't get to pick the languages first.
1Will_Sawin
You do get to pick the languages first because there is a large but finite (say no more than 10^6) set of reasonable languages-modulo-trivial-details that could form the basis for such a measurement.

How does this style of reasoning work on something more like the original Pascal's Wager problem?

Suppose a (to all appearances) perfectly ordinary person goes on TV and says "I am an avatar of the Dark Lords of the Matrix. Please send me \$5. When I shut down the simulation in a few months, I will subject those who send me the money to [LARGE NUMBER] years of happiness, and those who do not to [LARGE NUMBER] years of pain".

Here you can't solve the problem by pointing out the very large numbers of people involved, because there aren't very high numbers of people involved. Your probability should depend only on your probability that this is a simulation, your probability that the simulators would make a weird request like this, and your probability that this person's specific weird request is likely to be it. None of these numbers help you get down to a 1/[LARGE NUMBER] level.

I've avoided saying 3^^^3, because maybe there's some fundamental constraint on computing power that makes it impossible for simulators to simulate 3^^^3 years of happiness in any amount of time they might conceivably be willing to dedicate to the problem. But they might be able to simulate some number of years large enough to outweigh our prior against any given weird request coming from the Dark Lords of the Matrix.

(also, it seems less than 3^^^3-level certain that there's no clever trick to get effectively infinite computing power or effectively infinite computing time, like the substrateless computation in Permutation City)

4Eliezer Yudkowsky
When we jump to the version involving causal nodes having Large leverage over other nodes in a graph, there aren't Large numbers of distinct people involved, but there's Large numbers of life-centuries involved and those moments of thought and life have to be instantiated by causal nodes. Infinity makes my calculations break down and cry, at least at the moment.

Imagine someone makes the following claims:

• I've invented an immortality drug
• I've invented a near-light-speed spaceship
• The spaceship has really good life support/recycling
• The spaceship is self-repairing and draws power from interstellar hydrogen
• I've discovered the Universe will last at least another 3^^^3 years

Then they threaten, unless you give them \$5, to kidnap you, give you the immortality drug, stick you in the spaceship, launch it at near-light speed, and have you stuck (presumably bound in an uncomfortable position) in the spaceship for the 3^^^3 years the universe will last.

(okay, there are lots of contingent features of the universe that will make this not work, but imagine something better. Pocket dimension, maybe?)

If their claims are true, then their threat seems credible even though it involves a large amount of suffering. Can you explain what you mean by life-centuries being instantiated by causal nodes, and how that makes the madman's threat less credible?

3Jonii
Are you sure it wouldn't be rational to pay up? I mean, if the guy looks like he could do that for \$5, I'd rather not take chances. If you pay, and it turns out he didn't have all that equipment for torture, you could just sue him and get that \$5 back, since he defrauded you. If he starts making up rules about how you can never ever tell anyone else about this, or later check validity of his claim or he'll kidnap you, you should, for game-theoretical reasons not abide, since being the kinda agent that accepts those terms makes you valid target for such frauds. Reasons for not abiding being the same as for single-boxing.
3endoself
If what he says is true, then there will be 3^^^3 years of life in the universe. Then, assuming this anthropic framework is correct, it's very unlikely to find yourself at the beginning rather than at any other point in time, so this provides 3^^^3-sized evidence against this scenario.
1A1987dM
I'm not entirely sure that the doomsday argument also applies to different time slices of the same person, given that Eliezer in 2013 remembers being Eliezer in 2012 but not vice versa.
1Pentashagon
That requires a MTTF of 3^^^3 years, or a per-year probability of failure of roughly 1/3^^^3. This implies that physical properties like the cosmological constant and the half-life of protons can be measured to a precision of roughly 1/3^^^3 relative error. To me it seems like both of those claims have prior probability ~ 1/3^^^3. (How many spaceships would you have to build and how long would you have to test them to get an MTTF estimate as large as 3^^^3? How many measurements do you have to make to get the standard deviation below 1/3^^^3?)
3Will_Newsome
Say the being that suffers for 3^^^3 seconds is morally relevant but not in the same observer moment reference class as humans for some reason. (IIRC putting all possible observers in the same reference class leads to bizarre conclusions...? I can't immediately re-derive why that would be.) But anyway it really seems that the magical causal juice is the important thing here, not the anthropic/experiential nature or lack thereof of the highly-causal nodes, in which case the anthropic solution isn't quite hugging the real query.
1endoself
The only reason that I have ever thought of is that our reference class should intuitively consist of only sentient beings, but that nonsentient beings should still be able to reason. Is this what you were thinking of? Whether it applies in a given context may depend on what exactly you mean by a reference class in that context.
3Will_Newsome
If it can reason but isn't sentient then it maybe doesn't have "observer" moments, and maybe isn't itself morally relevant—Eliezer seems to think that way anyway. I've been trying something like, maybe messing with the non-sentient observer has a 3^^^3 utilon effect on human utility somehow, but that seems psychologically-architecturally impossible for humans in a way that might end up being fundamental. (Like, you either have to make 3^^^3 humans, which defeats the purpose of the argument, or make a single human have a 3^^^3 times better life without lengthening it, which seems impossible.) Overall I'm having a really surprising amount of difficulty thinking up an example where you have a lot of causal importance but no anthropic counter-evidence. Anyway, does "anthropic" even really have anything to do with qualia? The way people talk about it it clearly does, but I'm not sure it even shows up in the definition—a non-sentient optimizer could totally make anthropic updates. (That said I guess Hofstadter and other strange loop functionalists would disagree.) Have I just been wrongly assuming that everyone else was including "qualia" as fundamental to anthropics?
3endoself
Yeah, this whole line of reasoning fails if you can get to 3^^^3 utilons without creating ~3^^^3 sentients to distribute them among. I'm not sure what you mean. If you use an anthropic theory like what Eliezer is using here (e.g. SSA, UDASSA) then an amount of causal importance that is large compared to the rest of your reference class implies few similar members of the reference class, which is anthropic counter-evidence, so of course it would be impossible to think of an example. Even if nonsentients can contribute to utility, if I can create 3^^^3 utilons using nonsentients, than some other people probably can to, so I don't have a lot of causal importance compared to them. This is the contrapositive of the grandparent. I was saying that if we assume that the reference class is sentients, then nonsentients need to reason using different rules i.e. a different reference class. You are saying that if nonsentients should reason using the same rules, then the reference class cannot comprise only sentients. I actually agree with the latter much more strongly, and I only brought up the former because it seemed similar to the argument you were trying to remember. There are really two separate questions here, that of how to reason anthropically and that of how magic reality-fluid is distributed. Confusing these is common, since the same sort of considerations affect both of them and since they are both badly understood, though I would say that due to UDT/ADT, we now understand the former much better, while acknowledging the possibility of unknown unknowns. (Our current state of knowledge where we confuse these actually feels a lot like people who have never learnt to separate the descriptive and the normative.) The way Eliezer presented things in the post, it is not entirely clear which of the two he meant to be responsible for the leverage penalty. It seems like he meant for it to be an epistemic consideration due to anthropic reasoning, but this seems obviously wro
0drnickbone
A comment: it is not clear to me that Eliezer is intending to use SSA or UDASSA here. The "magic reality fluid" measure looks more like SIA, but with a prior based on Levin complexity rather than Kolmogorov complexity - see my comment here. Or - in an equivalent formulation - he's using Kolmogorov + SSA but with an extremely broad "reference class" (the class of all causal nodes, most of which aren't observers in any anthropic sense). This is still not UDASSA. To get something like UDASSA, we shouldn't distribute the weight 2^-#p of each program p uniformly among its execution steps. Instead we should consider using another program q to pick out an execution step or a sequence of steps (i.e. a sub-program s) from p, and then give the combination of q,p a weight 2^-(#p+#q). This means each sub-program s will get a total prior weight of Sum {p, q: q(p) = s & s is a sub-program of p} 2^-(#p + #q). When updating on your evidence E, consider the class S(E) of all sub-programs which correspond to an AI program having that evidence, and normalize. The posterior probability you are in a particular universe p' then becomes proportional to Sum {q: q(p') is a sub-program of p' and a member of S(E)} 2^-(#p' + #q). This looks rather different to what I discussed in my other comment, and it maybe handles anthropic problems a bit better. I can't see there is any shift either towards very big universes (no presumptuous philosopher) or towards dense computronium universes, where we are simulations. There does appear to be a Great Filter or "Doomsday" shift, since it is still a form of SSA, but this is mitigated by the consideration that we may be part of a reference class (program q) which preferentially selects pre-AI biological observers, as opposed to any old observers.
0endoself
I agree with this; the 'e.g.' was meant to point toward the most similar theories that have names, not pin down exactly what Eliezer is doing here. I though that it would be better to refer to the class of similar theories here since there is enough uncertainty that we don't really have details.

This is an awful lot of words to expend to notice that

(1) Social interactions need to be modeled in a game-theoretic setting, not straightforward expected payoff

(2) Distributions of expected values matter. (Hint: p(N) = 1/N is a really bad model as it doesn't converge).

(3) Utility functions are neither linear nor symmetric. (Hint: extinction is not symmetric with doubling the population.)

(4) We don't actually have an agreed-upon utility function anyway; big numbers plus a not-well-agreed-on fuzzy notion is a great way to produce counterintuitive results. The details don't really matter; as fuzzy approaches infinity, you get nonintuitiveness.

It's much more valuable to address some of these imperfections in the setup of the problem than continuing to wade through the logic with bad assumptions in hand.

[-]huh130

Friendly neighborhood Matrix Lord checking in!

I'd like to apologize for the behavior of my friend in the hypothetical. He likes to make illusory promises. You should realize that regardless of what he may tell you, his choice of whether to hit the green button is independent of your choice of what to do with your \$5. He may hit the green button and save 3↑↑↑3 lives, or he may not, at his whim. Your \$5 can not be reliably expected to influence his decision in any way you can predict.

You are no doubt accustomed to thinking about enforceable contracts between parties, since those are a staple of your game theoretic literature as well as your storytelling traditions. Often, your literature omits the requisite preconditions for a binding contract since they are implicit or taken for granted in typical cases. Matrix Lords are highly atypical counterparties, however, and it would be a mistake to carry over those assumptions merely because his statements resemble the syntactic form of an offer between humans.

Did my Matrix Lord friend (who you just met a few minutes ago!) volunteer to have his green save-the-multitudes button and your \$5 placed under the control of a mutually trustworthy th...

2Kawoomba
Caveat emptor, the boxes she gave me always were empty!

Related: Would an AI conclude it's likely to be a Boltzmann brain? ;)

Everyone's a Boltzmann brain to some degree.

8James_Miller
Or even if the AI experienced an intelligence explosion the danger is that it would not believe it had really become so important because the prior odds of you being the most important thing that will probably ever exist is so low. Edit: The AI could note that it uses a lot more computing power than any other sentient and so give itself an anothropic weight much greater than 1.
2Oligopsony
With respect to this being a "danger," don't Boltzmann brains have a decision-theoretic weight of zero?
1James_Miller
Why zero? If you came to believe there was a 99.99999% chance you are currently dreaming wouldn't it effect your choices?
[-]Benya110

I don't at all think that this is central to the problem, but I do think you're equating "bits" of sensory data with "bits" of evidence far too easily. There is no law of probability theory that forbids you from assigning probability 1/3^^^3 to the next bit in your input stream being a zero -- so as far as probability theory is concerned, there is nothing wrong with receiving only one input bit and as a result ending up believing a hypothesis that you assigned probability 1/3^^^3 before.

Similarly, probability theory allows you to assign prior probability 1/3^^^3 to seeing the blue hole in the sky, and therefore believing the mugger after seeing it happen anyway. This may not be a good thing to do on other principles, but probability theory does not forbid it. ETA: In particular, if you feel between a rock and a bad place in terms of possible solutions to Pascal's Muggle, then you can at least consider assigning probabilities this way even if it doesn't normally seem like a good idea.

5DanielLC
True, but it seems crazy to be that certain about what you'll see. It doesn't seem that unlikely to hallucinate that happening. It doesn't seem that unlikely for all the photons and phonons to just happen to converge in some pattern that makes it look and sound exactly like a Matrix Lord. You're basically assuming that your sensory equipment is vastly more reliable than you have evidence to believe, just because you want to make sure that if you get a positive, you won't just assume it's a false positive.
2Jonii
Actually, there is such a law. You cannot reasonably start, when you are born into this world, naked, without any sensory experiences, expecting that the next bit you experience is much more likely to be 1 rather than 0. If you encounter one hundred zillion bits and they all are 1, you still wouldn't assign 1/3^^^3 probability to next bit you see being 0, if you're rational enough. Of course, this is mudded by the fact that you're not born into this world without priors and all kinds of stuff that weights on your shoulders. Evolution has done billions of years worth of R&D on your priors, to get them straight. However, the gap these evolution-set priors would have to cross to get even close to that absurd 1/3^^^3... It's a theoretical possibility that's by no stretch a realistic one.

Two quick thoughts:

• Any two theories can be made compatible if allowing for some additional correction factor (e.g. a "leverage penalty") designed to make them compatible. As such, all the work rests with "is the leverage penalty justified?"

• For said justification, there has to some sort of justifiable territory-level reasoning, including "does it carve reality at its joints?" and such, "is this the world we live in?".

The problem I see with the leverage penalty is that there is no Bayesian updating way that will get you to such a low prior. It's the mirror from "can never process enough bits to get away from such a low prior", namely "can never process enough bits to get to assigning such low priors" (the blade cuts both ways).

The reason for that is in part that your entire level of confidence you have in the governing laws of physics, and the causal structure and dependency graphs and such is predicated on the sensory bitstream of your previous life - no more, it's a strictly upper bound. You can gain confidence that a prior to affect a googleplex people is that low only by using that lifetime bitstream you have accu...

As near as I can figure, the corresponding state of affairs to a complexity+leverage prior improbability would be a Tegmark Level IV multiverse in which each reality got an amount of magical-reality-fluid corresponding to the complexity of its program (1/2 to the power of its Kolmogorov complexity) and then this magical-reality-fluid had to be divided among all the causal elements within that universe - if you contain 3↑↑↑3 causal nodes, then each node can only get 1/3↑↑↑3 of the total realness of that universe.

This reminds me a lot of Levin's universal...

You probably shouldn't let super-exponentials into your probability assignments, but you also shouldn't let super-exponentials into the range of your utility function. I'm really not a fan of having a discontinuous bound anywhere, but I think it's important to acknowledge that when you throw a trip-up (^^^) into the mix, important assumptions start breaking down all over the place. The VNM independence assumption no longer looks convincing, or straightforward. Normally my preferences in a Tegmark-style multiverse would reflect a linear combination of my pr...

Is it just me, or is everyone here overly concerned with coming up with patches for this specific case and not the more general problem? If utilities can grow vastly larger than the prior probability of the situation that contains them, then an expected utility system will become almost useless. Acting on situations with probabilities as tiny as can possibly be represented in that system, since the math would vastly outweigh the expected utility from acting on anything else.

I've heard people come up with apparent resolutions to this problem. Like counter b...

1private_messaging
The idea is that it'd be great to have a formalism where they do by construction. Also, when there's no third party, it's not distinct enough from Pascal's Wager as to demand extra terminology that focusses on the third party, such as "Pascal's Mugging". If it is just agent doing contemplations by itself, that's the agent making a wager on it's hypotheses, not getting mugged by someone. I'll just go ahead and use "Pascal Scam" to describe a situation where an in-distinguished agent promises unusually huge pay off, and the mark erroneously gives in due to some combination of bad priors and bad utility evaluation. The common errors seem to be 1: omit the consequence of keeping the money for a more distinguished agent, 2: assign too high prior, 3: and, when picking between approaches, ignore the huge cost of acting in a manner which encourages disinformation. All those errors act in favour of the scammer (and some are optional), while non-erroneous processing would assign huge negative utility to paying up even given high priors.
0Houshalter
There is no real way of doing that without changing your probability function or your utility function. However you can't change those. The real problem is with the expected utility function and I don't see any way of fixing it, though perhaps I missed something. Any agent subject to Pascal's Mugging would fall pray to this problem first, and it would be far worse. While the mugger is giving his scenario, the agent could imagine an even more unlikely scenario. Say one where the mugger actually gives him 3^^^^^^3 units of utility if he does some arbitrary task, instead of 3^^^3. This possibility immediately gets so much utility that it far outweighs anything the mugger has to say after that. Then the agent may imagine an even more unlikely scenario where it gets 3^^^^^^^^^^3 units of utility, and so on. I don't really know what an agent would do if the expected utility of any action approached infinity. Perhaps it would generally work out as some things would approach infinity faster than others. I admit I didn't consider that. But I don't know if that would necessarily be the case. Even if it is it seems "wrong" for expected utilities of everything to be infinite and only tiny probabilities to matter for anything. And if so then it would work out for the pascal's mugging scenario too I think.
1private_messaging
Last time I checked, priors were fairly subjective even here. We don't know what is the best way to assign priors. Things like "Solomonoff induction" depend to arbitrary choice of machine. Nope, people who end up 419-scammed or waste a lot of money investing into someone like Randel L Mills or Andrea Rossi live through their life ok until they read a harmful string in a harmful set of circumstances (bunch of other believers around for example).
0ArisKatsaris
Priors are indeed up for grabs, but a set of priors about the universe ought be consistent with itself, no? A set of priors based only on complexity may indeed not be the best set of priors -- that's what all the discussions about "leverage penalties" and the like are about, enhancing Solomonoff induction with something extra. But what you seem to suggest is a set of priors about the universe that are designed for the express purposes of making human utility calculations balance out? Wouldn't such a set of priors require the anthroporphization of the universe, and effectively mean sacrificing all sense of epistemic rationality?
-1private_messaging
The best "priors" about the universe are 1 for what that universe right around you is, and 0 for everything else. Other priors are a compromise, an engineering decision. What I am thinking is that * there is a considerably better way to assign priors which we do not know of yet - the way which will assign equal probabilities to each side of a die if it has no reason to prefer one over the other - the way that does correspond to symmetries in the evidence. * We don't know that there will still be same problem when we have a non-stupid way to assign priors (especially as the non-stupid way ought to be considerably more symmetric). And it may be that some value systems are intrinsically incoherent. Suppose you wanted to maximize blerg without knowing what blerg even really is. That wouldn't be possible, you can't maximize something without having a measure of it. But I still can tell you i'd give you 3^^^^3 blergs for a dollar, without either of us knowing what blerg is supposed to be or whenever 3^^^^3 blergs even make sense (if blerg is an unique good book of up to 1000 page length, it doesn't because duplicates aren't blerg).
0Houshalter
True, but the goal of a probability function is to represent the actual probability of an event happening as closely as possible. The map should correspond to the territory. If your map is good, you shouldn't change it unless you observe actual changes in the territory. I don't know if those things have such extremes in low probability vs high utility to be called pascal's mugging. But even so, the human brain doesn't operate on anything like Solomonoff induction, Bayesian probability theory, or expected utility maximization.
1private_messaging
The actual probability is either 0 or 1 (either happens or doesn't happen). Values in-between quantify ignorance and partial knowledge (e.g. when you have no reason to prefer one side of the die to the other), or, at times, are chosen very arbitrarily (what is the probability that a physics theory is "correct"). New names for same things are kind of annoying, to be honest, especially ill chosen... if it happens by your own contemplation, I'd call it Pascal's Wager. Mugging implies someone making threats, scam is more general and can involve promises of reward. Either way the key is the high payoff proposition wrecking some havoc, either through it's prior probability being too high, other propositions having been omitted, or the like. People are still agents, though.
0Houshalter
Yes but the goal is to assign whatever outcome that will actually happen with the highest probability as possible, using whatever information we have. The fact that some outcomes result in ridiculously huge utility gains does not imply anything about how likely they are to happen, so there is no reason that should be taken into account (unless it actually does, in which case it should.) Pascal's mugging was an absurd scenario with absurd rewards that approach infinity. What you are talking about is just normal everyday scams. Most scams do not promise such huge rewards or have such low probabilities (if you didn't know any better it is feasible that someone could have an awesome invention or need your help with transaction fees.) And the problem with scams is that people overestimate their probability. If they were to consider how many emails in the world are actually from Nigerian Princes vs scammers, or how many people promise awesome inventions without any proof they will actually work, they would reconsider. In pascal's mugging, you fall for it even after having considered the probability of it happening in detail. Your probability estimation could be absolutely correct. Maybe 1 out of a trillion times a person meets someone claiming to be a matrix lord, they are actually telling the truth. And they still end up getting scammed, so that the 1 in a trillionth counter-factual of themselves gets infinite reward. They are agents, but they aren't subject to this specific problem because we don't really use expected utility maximization. At best maybe some kind of poor approximation of it. But it is a problem for building AIs or any kind of computer system that makes decisions based on probabilities.
0ArisKatsaris
I think you're considering a different problem than Pascal's Mugging, if you're taking it as a given that the probabilities are indeed 1 in a trillion (or for that matter 1 in 10). The original problem doesn't make such an assumption. What you have in mind, the case of definitely known probabilities, seems to me more like The LifeSpan dilemma where e.g. "an unbounded utility on lifespan implies willingness to trade an 80% probability of living some large number of years for a 1/(3^^^3) probability of living some sufficiently longer lifespan"
0Houshalter
The wiki page on it seems to suggest that this is the problem. Also this which is pretty concerning. I'm curious what you think the problem with Pascal's Mugging is though. That you can't easily estimate the probability of such a situation? Well that is true of anything and isn't really unique to Pascal's Mugging. But we can still approximate probabilities. A necessary evil to live in a probabilistic world without the ability to do perfect Bayesian updates on all available information, or unbiased priors.
-1private_messaging
I abhor using unnecessary novel jargon. Bad math being internally bad, that's the problem. Nothing to do with any worlds, real or imaginary, just a case of internally bad math - utilities are undefined, it is undefined if you pay up or not, the actions chosen are undefined. Akin to maximizing blerg without any definition of what blerg even is - maximizing "expected utility" without having defined it. Speed prior works, for example (it breaks some assumptions of Blanc. Namely, the probability is not bounded from below by any computable function of length of the hypothesis).
0Houshalter
Call it undefined if you like, but I'd still prefer 3^^^3 people not suffer. It would be pretty weird to argue that human lives decay in utility based on how many there are. If you found out that the universe was bigger than you thought, that there really were far more humans in the universe somehow, would you just stop caring about human life? It would also be pretty hard to argue that at least some small amount of money isn't worth giving in order to save a human life, or that giving a small amount of money isn't worth a small probability of saving enough lives to make up for the small probability.
0private_messaging
Well, suppose there's mind uploads, and one mind upload is very worried about himself so he runs himself multiply redundant with 5 exact copies. Should this upload be a minor utility monster? 3^^^3 is far more than there are possible people. Bounded doesn't mean it just hits a cap and stays there. Also, if you scale all utilities that you can effect down it changes nothing about actions (another confusion - mapping the utility to how much one cares). And yes there are definitely cases where money are worth small probability of saving lives, and everyone agrees on such - e.g. if we find out that an asteroid has certain chance to hit Earth, we'd give money to space agencies, even when chance is rather minute (we'd not give money to cold fusion crackpots though). There's nothing fundamentally wrong with spending a bit to avert a small probability of something terrible happening. The problem arises when the probability is overestimated, when the consequences are poorly evaluated, etc. It is actively harmful for example to encourage boys to cry wolf needlessly. I'm thinking people sort of feel innately that if they are giving money away - losing - some giant fairness fairy is going to make the result more likely good than bad for everyone. World doesn't work like this; all those naive folks who jump on opportunity to give money to someone promising to save the world, no matter how ignorant, uneducated, or crackpotty that person is in the fields where correctness can be checked at all, they are increasing risk, not decreasing.
0TheOtherDave
Maybe not as weird as all that. Given a forced choice between killing A and B where I know nothing about them, I flip a coin, but add the knowledge that A is a duplicate of C and B is not a duplicate of anyone, and I choose A quite easily. I conclude from this that I value unique human lives quite a lot more than I value non-unique human lives. As others have pointed out, the number of unique human lives is finite, and the number of lives I consider worth living necessarily even lower, so the more people there are living lives worth living, the less unique any individual is, and therefore the less I value any individual life. (Insofar as my values are consistent, anyway. Which of course they aren't, but this whole "lets pretend" game of utility calculation that we enjoy playing depends on treating them as though they were.)
-1Juno_Watt
There is no evidence for the actual existence of neatly walled-of and unupdateable utility functions or probability functions, any more than there is for a luz'.
0Houshalter
Utility and probability functions are not perfect or neatly walled off. But that doesn't mean you should change them to fix a problem with your expected utility function. The goal of a probability function is to represent the actual probability of an event happening as closely as possible. And the goal of a utility function is to represent what you states you would prefer the universe to be in. This also shouldn't change unless you've actually changed your preferences.
0Juno_Watt
There's plenty of evidence of people changing their preferences over significant periods of time: it would be weird not to. And I am well aware that the theory of stable utility functions is standardly patched up with a further theory of terminal values, for which there is also no direct evidence.
0Houshalter
Of course people can change their preferences. But if your preferences are not consistent you will likely end up in situations that are less preferable than if you had the same preferences the entire time. It also makes you a potential money pump. What? Terminal values are not a patch for utility functions. It's basically another word that means the same thing, what state you would prefer the world to end up in. And how can there be evidence for a decision theory?
0TheOtherDave
Well, I've certainly seen discussions here in which the observed inconsistency among our professed values is treated as a non-problem on the grounds that those are mere instrumental values, and our terminal values are presumed to be more consistent than that. Insofar as stable utility functions depend on consistent values, it's not unreasonable to describe such discussions as positing consistent terminal values in order to support a belief in stable utility functions.
-1Eugine_Nier
Well, how is this different from changing our preferences to utility functions to fix problems with our naive preferences?
4Houshalter
I don't know what you mean. All I'm saying is that you shouldn't change your preferences because of a problem with your expected utility function. Your preferences are just what you want. Utility functions are just a mathematical way of expressing that.
-1Eugine_Nier
Human preferences don't naturally satisfy the VNM axioms, thus by expressing them as a utility function you've already changed them.
0Houshalter
I don't see why our preferences can't be expressed by a utility function even as they are. The only reason it wouldn't work out is if there were circular preferences, and I don't think most peoples preferences would work out to be truly circular if they were to think about the specific occurrence and decide what they really preferred. Though mapping out which outcomes are more preferred than others is not enough to assign them an actual utility, you'd somehow have to guess how much more preferable one outcome is to another quantitatively.But even then I think most people could if they thought about it enough. The problem is that our utility functions are complex and we don't really know what they are, not that they don't exist.
-1Eugine_Nier
Or they might violate the independence axiom, but in any case what do you mean by " think about the specific occurrence and decide what they really preferred", since the result of such thinking is likely to depend on the exact order they thought about things in.

Nick Beckstead's finished but as-yet unpublished dissertation has much to say on this topic. Here is Beckstead's summary of chapters 6 and 7 of his dissertation:

[My argument for the overwhelming importance of shaping the far future] asks us to be happy with having a very small probability of averting an existential catastrophe [or bringing about some other large, positive "trajectory change"], on the grounds that the expected value of doing so is extremely enormous, even though there are more conventional ways of doing good which have a high pr

...

If an AI's overall architecture is such as to enable it to carry out the "You turned into a cat" effect - where if the AI actually ends up with strong evidence for a scenario it assigned super-exponential improbability, the AI reconsiders its priors and the apparent strength of evidence rather than executing a blind Bayesian update, though this part is formally a tad underspecified - then at the moment I can't think of anything else to add in.

Ex ante, when the AI assigns infinitesimal probability to the real thing, and meaningful probability t...

3Eliezer Yudkowsky
It seems reasonable to me because on the stated assumptions - the floating tags seen by vast numbers of other beings but not yourself - you've managed to generate sensory data with a vast likelihood ratio. The vast update is as reasonable as this vast ratio, no more, no less.
4CarlShulman
The problem is that you seem to be introducing one dubious piece to deal with another. Why is the hypothesis that those bullet points hold infinitesimally unlikely rather than very unlikely in the first place?
0Eliezer Yudkowsky
I think the bullet points as a whole are "very unlikely" (the universe as a whole has some Kolmogorov complexity, or equivalent complexity of logical axioms, which determines this); within that universe your being one of the non-hypercomputed sentients is infinitesimally unlikely, and then there's a vast update when you don't see the tag. How would you reason in this situation?
4CarlShulman
OK, but if you're willing to buy all that, then the expected payoff in some kind of stuff for almost any action (setting aside opportunity costs and empirical stabilizing assumptions) is also going to be cosmically large, since you have some prior probability on conditions like those in the bullet pointed list blocking the leverage considerations.
3Eliezer Yudkowsky
Hm. That does sound like a problem. I hadn't considered the problem of finite axioms giving you unboundedly large likelihood ratios over your exact situation. It seems like this ought to violate the Hansonian principle somehow but I'm not sure to articulate it... Maybe not seeing the tag updates against the probability that you're in a universe where non-tags are such a tiny fraction of existence, but this sounds like it also ought to replicate Doomsday type arguments and such? Hm.
7CarlShulman
Really? People have been raising this (worlds with big payoffs and in which your observations are not correspondingly common) from the very beginning. E.g. in the comments of your original Pascal's Mugging post in 2007, Michael Vassar raised the point: and you replied: Wei Dai and Rolf Nelson discussed the issue further in the comments there, and from different angles. And it is the obvious pattern-completion for "this argument gives me nigh-infinite certainty given its assumptions---now do I have nigh-infinite certainty in the assumptions?" i.e. Probing the Improbable issues. This is how I explained the unbounded payoffs issue to Steven Kaas when he asked for feedback on earlier drafts of his recent post about expected value and extreme payoffs (note how he talks about our uncertainty re anthropics and the other conditions required for Hanson's anthropic argument to go through).
2CarlShulman
Hanson endorses SIA. So he would multiply the possible worlds by the number of copies of his observations therein. A world with 3^^^3 copies of him would get a 3^^^3 anthropic update. A world with only one copy of his observations that can affect 3^^^^3 creatures with different observations would get no such probability boost. Or if one was a one-boxer on Newcomb one might think of the utility of ordinary payoffs in the first world as multiplied by the 3^^^3 copies who get them.
[-]Zaq60

Just gonna jot down some thoughts here. First a layout of the problem.

1. Expected utility is a product of two numbers, probability of the event times utility generated by the event.
2. Traditionally speaking, when the event is claimed to affect 3^^^3 people, the utility generated is on the order of 3^^^3
3. Traditionally speaking, there's nothing about the 3^^^3 people that requires a super-exponentially large extension to the complexity of the system (the univers/multivers/etc). So the probability of the event does not scale like 1/(3^^^3)
4. Thus Expected Payoff
...

I think the simpler solution is just to use a bounded utility function. There are several things suggesting we do this, and I really don't see any reason to not do so, instead of going through contortions to make unbounded utility work.

Consider the paper of Peter de Blanc that you link -- it doesn't say a computable utility function won't have convergent utilities, but rather that it will iff said function is bounded. (At least, in the restricted context defined there, though it seems fairly general.) You could try to escape the conditions of the theore...

0endoself
I think he was assuming a natural scale. After all, you can just pick some everyday-sized utility difference to use as your unit, and measure everytihng on that scale. It wouldn't really matter what utility difference you pick as long as it is a natural size, since multiplying by 3^^^3 is easily enough for the argument to go through.
-1wedrifid
Using a bounded utility function is the what you do if and only if your preferences happen to be bounded in that way. The utility function is not up for grabs. You don't change the utility function because it makes decision making more convenient (well, unless you have done a lot of homework). As it happens I don't make (hypothetical) decisions as if assign linear value to person-lives. That is because as best as I can tell my actual preference really does assign less value to the 3^^^3rd person-life created than to the 5th person-life. However, someone who does care just as much about each additional person would be making an error if they acted as if they had a bounded utility function.
6Sniffnoy
Your argument proves a bit too much, I think. I could equally well reply, "Using a utility function is what you do if and only if your preferences are described by a utility function. Terminal values are not up for grabs. You don't reduce your terminal values to a utility function just because it makes decision making more convenient." The fact of the matter is that our preferences are not naturally described by a utility function; so if we've agreed that the AI should use a utility function, well, there must be some reason for that other than "it's a correct description of our preferences", i.e., we've agreed that such reasons are worth consideration. And I don't see any such reason that doesn't also immediately suggest we should use a bounded utility function (at least, if we want to be able to consider infinite gambles). So I'm having trouble believing that your position is consistent. If you said we should do away with utility functions entirely to better model human terminal values, that would make sense. But why would you throw out the bounded part, and then keep the utility function part? I'm having trouble seeing any line of reasoning that would support both of those simultaneously. (Well unless you want to throw out infinite gambles, which does seems like a consistent position. Note, though, that in that case we also don't have to do contortions like in this post.) Edit: Added notes about finite vs. infinite gambles.
1wedrifid
If you were to generalise it would have to be to something like "only if your preferences can be represented without loss as a utility function". Even then there are exceptions. However the intricacies of resolving complex and internally inconsistent agents seems rather orthogonal to the issue of how a given agent would behave in the counter-factual scenario presented. Meanwhile, I evaluate your solution to this problem (throw away the utility function and replace it with a different one) to be equivalent to, when encountering Newcomb's Problem, choosing the response "Self modify into a paperclip maximiser, just for the hell of it, then choose whichever box choice maximises paperclips". That it seems to be persuasive to readers makes this thread all too surreal for me. Tapping out before candidness causes difficulties.
0Sniffnoy
It's not clear to me what distinction you are attempting to draw between "Can be described by a utility function" and "can be represented without loss as a utility function". I don't think any such distinction can sensibly be drawn. They seem to simply say the same thing. I'd ask you to explain, but, well, I guess you're not going to. I'm not throwing out the utility function and replacing it with a different one, because there is no utility function. What there is is a bunch of preferences that don't satisfy Savage's axioms (or the VNM axioms or whichever formulation you prefer) and as such cannot actually be described by a utility function. Again -- everything you've said works perfectly well as an argument against utility functions generally. ("You're tossing out human preferences and using a utility function? So, what, when presented with Newcomb's problem, you self-modify into a paperclipper and then pick the paperclip-maximizing box?") Perhaps I should explain in more detail how I'm thinking about this. We want to implement an AI, and we want it to be rational in certain senses -- i.e. obey certain axioms -- while still implementing human values. Human preferences don't satisfy these axioms. We could just give it human preferences and not worry about the intransitivity and the dynamic inconsistencies and such, or, we could force it a bit. So we imagine that we have some (as yet unknown) procedure that takes a general set of preferences and converts it to one satisfying certain requirements (specific to the procedure). Obviously something is lost in the process. Are we OK with this? I don't know. I'm not making a claim either way about this. But you are going to lose something if you apply this procedure. OK, so we feed in a set of preferences and we get out one satisfying our requirements. What are our requirements? If they're Savage's axioms, we get out something that can be described by a utility function, and a bounded one at that. If they're Savage's
0endoself
You still get a probability function without Savage's P6 and P7, you just don't get a utility function with codomain the reals, and you don't get expectations over infinite outcome spaces. If we add real-valued probabilities, for example by assuming Savage's P6', you even get finite expectations, assuming I haven't made an error.
0TheOtherDave
True. That said, given some statement P about my preferences, such as "I assign linear value to person-lives," such that P being true makes decision-making inconvenient, if I currently have C confidence in P then depending on C it may be more worthwhile to devote my time to gathering additional evidence for and against P than to developing a decision procedure that works in the inconvenient case. On the other hand, if I keep gathering evidence about P until I conclude that P is false and then stop, that also has an obvious associated failure mode.
-2Tehom
But that's essentially already the case. Just consider the bound to be 3^^^^3 utilons, or even an illimited number of them. Those are not infinite, but still allow all the situations and arguments made above. Paradoxes of infinity weren't the issue in this case.
0Sniffnoy
Again, individual utility numbers are not meaningful. I'm not sure which "situations and arguments" you're saying this still allows. It doesn't allow the divergent sum that started all this.

I get the sense you're starting from the position that rejecting the Mugging is correct, and then looking for reasons to support that predetermined conclusion. Doesn't this attitude seem dangerous? I mean, in the hypothetical world where accepting the Mugging is actually the right thing to do, wouldn't this sort of analysis reject it anyway? (This is a feature of debates about Pascal's Mugging in general, not just this post in particular.)

4Paul Crowley
That's just how it is when you reason about reason; Neurath's boat must be repaired while on the open sea. In this case, our instincts strongly suggest that what the decision theory seems to say we should do must be wrong, and we have to turn to the rest of our abilities and beliefs to adjudicate between them.
0Eliezer Yudkowsky
Well, besides that thing about wanting expected utilities to converge, from a rationalist-virtue perspective it seems relatively less dangerous to start from a position of someone rejecting something with no priors or evidence in favor of it, and relatively more dangerous to start from a position of rejecting something that has strong priors or evidence.

It seems to me like the whistler is saying that the probability of saving knuth people for \$5 is exactly 1/knuth after updating for the Matrix Lord's claim, not before the claim, which seems surprising. Also, it's not clear that we need to make an FAI resistant to very very unlikely scenarios.

I'm a lot more worried about making an FAI behave correctly if it encounters a scenario which we thought was very very unlikely.

4Luke_A_Somers
Also, if the AI spreads widely and is around for a long time, it will eventually run into very unlikely scenarios. Not 1/3^^^3 unlikely, but pretty unlikely.
[-][anonymous]50

I enjoyed this really a lot, and while I don't have anything insightful to add, I gave five bucks to MIRI to encourage more of this sort of thing.

(By "this sort of thing" I mean detailed descriptions of the actual problems you are working on as regards FAI research. I gather that you consider a lot of it too dangerous to describe in public, but then I don't get to enjoy reading about it. So I would like to encourage you sharing some of the fun problems sometimes. This one was fun.)

3Eliezer Yudkowsky
Not 'a lot' and present-day non-sharing imperatives are driven by an (obvious) strategy to accumulate a long-term advantage for FAI projects over AGI projects which is impossible if all lines of research are shared at all points when they are not yet imminently dangerous. No present-day knowledge is imminently dangerous AFAIK.
1Lumifer
Do you believe this to be possible? In modern times with high mobility of information and people I have strong doubts a gnostic approach would work. You can hide small, specific, contained "trade secrets", you can't hide a large body of knowledge that needs to be actively developed.
1Gurkenglas
I can't help but remember HPJEV talk about plausible deniability and how that relates to you telling people whether there is dangerous knowledge out there.
0[anonymous]
Thanks for the clarification! I thought this was an engaging, well-written summary targeted to the general audience, and I'd like to encourage more articles along these lines. So as a follow-up question: How much income for MIRI would it take, per article, for the beneficial effects of sharing non-dangerous research to outweigh the negatives? (Gah, the editor in me WINCES at that sentence. Is it clear enough or should I re-write? I'm asking how much I-slash-we should kick in per article to make the whole thing generally worth your while.)
0Simulation_Brain
Given how many underpaid science writers are out there, I'd have to say that ~50k/year would probably do it for a pretty good one, especially given the 'good cause' bonus to happiness that any qualified individual would understand and value. But is even 1k/week in donations realistic? What are the page view numbers? I'd pay \$5 for a good article on a valuable topic; how many others would as well? I suspect the numbers don't add up, but I don't even have an order-of-magnitude estimate on current or potential readers, so I can't myself say.
0somervta
You need not only a good science writer, but one who either already groks the problem, or can be made to do so with a quick explanation. Furthermore, they need to have the above qualifications without being capable of doing primary research on the problem (this is the issue with Eliezer - he would certainly be capable of doing it, but his time is better spent elsewhere.)
0Eliezer Yudkowsky
Well, \$100K/year would probably pay someone to write things up full time, if we only had the right candidate hire for it - I'm not sure we do. The issue is almost never danger, it's just that writing stuff up is hard.
2[anonymous]
Apropos the above conversation: Do you know Annalee Newitz? (Of io9). If not, would you like to? I think you guys would get on like a house on fire.
0[anonymous]
I can certainly see that people who can both understand these issues and write them up for a general audience would be rare. Working in your favor is the fact that writers in general are terribly underpaid, and a lot of smart tech journalists have been laid off in recent years. (I used to be the news editor for Dr. Dobb's Journal, and although I am not looking for a job right now, I have contacts who could probably fill the position for you.) But I did some back-of-the-envelope calculations and it doesn't seem like this effort would pay for itself. I doubt you have enough questions like this to cover a daily article, and for a weekly one you'd need to take in over \$2K in donations (counting taxes) to cover your writer's salary. And that seems...unlikely. Sad! But I get it.

If the AI actually ends up with strong evidence for a scenario it assigned super-exponential improbability, the AI reconsiders its priors and the apparent strength of evidence rather than executing a blind Bayesian update, though this part is formally a tad underspecified.

I would love to have a conversation about this. Is the "tad" here hyperbole or do you actually have something mostly worked out that you just don't want to post? On a first reading (and admittedly without much serious thought -- it's been a long day), it seems to me that this...

0Eliezer Yudkowsky
That hyperbole one. I wasn't intending the primary focus of this post to be on the notion of a super-update - I'm not sure if that part needs to make it into AIs, though it seems to me to be partially responsible for my humanlike foibles in the Horrible LHC Inconsistency. I agree that this notion is actually very underspecified but so is almost all of bounded logical uncertainty.
2Richard_Kennaway
Using "a tad" to mean "very" is understatement, not hyperbole.
[-]ygert140

Using "a tad" to mean "very" is understatement, not hyperbole.

One could call it hypobole.

4Paul Crowley
Specifically, litotes.
[-]Jiro50

If someone suggests to me that they have the ability to save 3^^^3 lives, and I assign this a 1/3^^^3 probability, and then they open a gap in the sky at billions to one odds, I would conclude that it is still extremely unlikely that they can save 3^^^3 lives. However, it is possible that their original statement is false and yet it would be worth giving them five dollars because they would save a billion lives. Of course, this would require further assumptions on whether people are likely to do things that they have not said they would do, but are weake...

1) It's been applied to cryonic preservation, fer crying out loud. It's reasonable to suspect that the probability of that working is low, but anyone who says with current evidence that the probability is beyond astronomically low is being too silly to take seriously.

0Jiro
The benefit of cryonic preservation isn't astronomically high, though, so you don't need a probability that is beyond astronomically low. First of all,even an infinitely long life after being revived only has a finite present value, and possibly a very low one, because of discounting. Second, the benefit from cryonics is the benefit you'd gain from being revived after being cryonically preserved, minus the benefit that you'd gain from being revived after not cryonically preserved. (A really advanced society might be able to simulate us. If simulations count as us, simulating us counts as reviving us without the need for cryonic preservation.)
8Randaly
I do not think that you have gotten Luke's point. He was addressing your point #1, not trying to make a substantive argument in favor of cryonics.
-2Jiro
I don't think that either Pascal's Wager or Pascal's Mugging requires a probability that is astronomically low. It just requires that the size of the purported benefit be large enough that it overwhelms the low probability of the event.
4Luke_A_Somers
No, otherwise taking good but long-shot bets would be a case of Pascal's Mugging. It needs to involve a breakdown in the math because you're basically trying to evaluate infinity/infinity
4benelliott
Any similarities are arguments for giving them a maximally different name to avoid confusion, not a similar one. Would the English language really be better if rubies were called diyermands?
39eB1
Chemistry would not be improved by providing completely different names to chlorate and perchlorate (e.g. chlorate and sneblobs). Also, I think English might be better if rubies were called diyermands. If all of the gemstones were named something that followed a scheme similar to diamonds, that might be an improvement.
0A1987dM
I disagree. Communication can be noisy, and if a bit of noise replaces a word with a word in a totally different semantic class the error can be recovered, whereas if it replaces it with a word in the similar class it can't. See the last paragraph in myl's comment to this comment.
09eB1
Humans have the luxury of neither perfect learning nor perfect recall. In general, I find that my ability to learn and ability to recall words are much more limiting generally speaking than noisy communication channels. I think that there are other sources of redundancy in human communication that make noise less of an issue. For example, if I'm not sure if someone said "chlorate" or "perchlorate" often the ambiguity would be obvious, such as if it is clear that they had mumbled so I wasn't quite sure what they said. In the case of the written word, Chemistry and context provide a model for things which adds as a layer of redundancy, similar to the language model described in the post you linked to. It would take me at least twice as long to memorize random/unique alternatives to hypochlorite, chlorite, chlorate, perchlorate, multiplied by all the other oxyanion series. It would take me many times as long to memorize unique names for every acetyl compound, although I obviously acknowledge that Chemistry is the best case scenario for my argument and worst case scenario for yours. In the case of philosophy, I still think there are advantages to learning and recall for similar things to be named similarly. Even in the case of "Pascal's mugging" vs. "Pascal's wager", I believe that it is easier to recall and thus easier to have cognition about in part because of the naming connection between the two, despite the fact that these are two different things. Note that I am not saying I am in favor of calling any particular thing "Pascal-like muggings," which draws an explicit similarity between the two, all I'm saying is that choosing a "maximally different name to avoid confusion" strikes me as being less ideal, and that if you called it a Jiro's mugging or something, that would more than enough semantic distance between the ideas.
0benelliott
Okay, thats actually a good example. This caused me to re-think my position. After thinking, I'm still not sure that the analogy is actually valid though. In chemistry, we have a systemic naming scheme. Systematic name schemes are good, because they let us guess word meanings without having to learn them. In a difficult field which most people learn only as adults if at all, this is a very good thing. I'm no chemist, but if I had to guess the words chlorate and perchlorate to cause confusion sometimes, but that this price is overall worth paying for a systemic naming scheme. For gemstones, we do not currently have a systematic naming scheme. I'm not entirely sure that bringing one in would be good, there aren't all that many common gemstones that we're likely to forget them and frankly if it ain't broke don't fix it, but I'm not sure it would be bad either. What would not be good would be to simply rename rubies to diyermands without changing anything else. This would not only result in misunderstandings, but generate the false impression that rubies and diamonds have something special in common as distinct from Sapphires and Emeralds (I apologise for my ignorance if this is in fact the case). But at least in the case of gemstones we do not already have a serious problem, I do not know of any major epistemic failures floating around to do with the diamond-ruby distinction. In the case of Pascal's mugging, we have a complete epistemic disaster, a very specific very useful term have been turned into a useless bloated red-giant word, laden with piles of negative connotations and no actual meaning beyond 'offer of lots of utility that I need an excuse to ignore'. I know of almost nobody who has serious problems noticing the similarities between these situations, but tons of people seem not to realise there are any differences. The priority with terminology must be to separate the meanings and make it absolutely clear that these are not the same thing and need not
09eB1
I agree with your analysis regarding the difference between systematic naming systems and merely similar naming. That said, the justification for more clearly separating Pascal's mugging and this other unnamed situation does strike me as a political decision or rationalization. If the real world impact of people's misunderstanding were beneficial for the AI friendly cause, I doubt if anyone here would be making much ado about it. I would be in favor of renaming moissanite to diamand if this would help avert our ongoing malinvestment in clear glittery rocks to the tune of billions of dollars and numerous lives, so political reasons can perhaps be justified in some situations.
0benelliott
I would agree that it is to some extent political. I don't think its very dark artsy though, because it seems to be a case of getting rid of an anti-FAI misunderstanding rather than creating a pro-FAI misunderstanding.
-2DSimon
I suspect it would be. The first time one encounters the word "ruby", you have only context to go off of. But if the word sounded like "diamond", then you could also make a tentative guess that the referent is also similar.
4benelliott
Do you really think this!? I admit to being extremely surprised to find anyone saying this. If rubies were called diyermands it seems to me that people wouldn't guess what it was when they heard it, they would simply guess that they had misheard 'diamond', especially since it would almost certainly be a context where that was plausible, most people would probably still have to have the word explained to them. Furthermore, once we had the definition, we would be endlessly mixing them up, given that they come up in exactly the same context. Words are used many times, but only need to be learned once, so getting the former unambiguous is far more important. The word 'ruby' exists primarily to distinguish them from things like diamonds, you can usually guess that they're not cows from context. Replacing it with diyermand causes it to fail at its main purpose. EDIT: To give an example from my own field, in maths we have the terms 'compact' and 'sequentially compact' for types of topological space. The meanings are similar but not the same, you can find spaces satisfying one but not the other, but most 'nice' spaces have both or neither. If your theory is correct, this situation is good, because it will allow people to form a plausible guess at what 'compact' means if they already know 'sequentially compact' (this is almost always they order a student meets them). Indeed, they do always form a plausible guess, and that guess is 'the two terms mean the same thing'. This guess seems so plausible, they never question it and go off believing the wrong thing. In my case this lasted about 6 months before someone undeluded me, even when I learned the real definition of compactness, I assumed they were provably equivalent. Had their names been totally different, I would have actually asked what it meant when I first heard it, and would never have had any misunderstandings, and several others I know would have avoided them as well. This seems unambiguously better.
2DSimon
Hm, that's a good point, I've changed my opinion about this case. When I wrote my comment, I was thinking primarily of words that share a common prefix or suffix, which tends to imply that they refer to things that share the same category but are not the same thing. "English" and "Spanish", for example. But yeah, "diyer" is too close to "die" to be easily distinguishable. Maybe "rubemond"?
0benelliott
I could see the argument for that, provided we also had saphmonds, emmonds etc... Otherwise you run the risk of claiming a special connection that doesn't exist.
6Kindly
We would also need to find a different word for almonds.
3orthonormal
That argument is isomorphic to the one discussed in the post here: Essentially, it's hard to argue that the probabilities you assign should be balanced so exactly, and thus (if you're an altruist) Pascal's Wager exhorts you either to devote your entire existence to proselytizing for some god, or proselytizing for atheism, depending on which type of deity seems to you to have the slightest edge in probability (maybe with some weighting for the awesomeness of their heavens and awfulness of their hells). So that's why you still need a mathematical/epistemic/decision-theoretic reason to reject Pascal's Wager and Mugger.
-1private_messaging
What you have is a divergent sum whose sign will depend to the order of summation, so maybe some sort of re-normalization can be applied to make it balance itself out in absence of evidence.
5endoself
Actually, there is no order of summation in which the sum will converge, since the terms get arbitrary large. The theorem you are thinking of applies to conditionally convergent series, not all divergent series.
2private_messaging
Strictly speaking, you don't always need the sums to converge. To choose between two actions you merely need the sign of difference between utilities of two actions, which you can represent with divergent sum. The issue is that it is not clear how to order such sum or if it's sign is even meaningful in any way.
0orthonormal
Without discussing the merits of your proposal, this is something that clearly falls under "mathematical/epistemic/decision-theoretic reason to reject Pascal's Wager and Mugger", so I don't understand why you left that comment here.

Has the following reply to Pascal's Mugging been discussed on LessWrong?

1. Almost any ordinary good thing you could do has some positive expected downstream effects.
2. These positive expected downstream effects include lots of things like, "Humanity has slightly higher probability of doing awesome thing X in the far future." Possible values of X include: create 3^^^^3 great lives or create infinite value through some presently unknown method, and stuff like, in a scenario where the future would have been really awesome, it's one part in 10^30 better
...
7paulfchristiano
The obvious problem with this is that your utility is not defined if you are willing to accept muggings, so you can't use the framework of expected utility maximization at all. The point of the mugger is just to illustrate this, I don't think anyone thinks you should actually pay them (after all, you might encounter a more generous mugger tomorrow, or any number of more realistic opportunities to do astronomical amounts of good...)
Part of the issue is that I am coming at this problem from a different perspective than maybe you or Eliezer is. I believe that paying the mugger is basically worthless in the sense that doing almost any old good thing is better than paying the mugger. I would like to have a satisfying explanation of this. In contrast, Eliezer is interested in reconciling a view about complexity priors with a view about utility functions, and the mugger is an illustration of the conflict. I do not have a proposed reconciliation of complexity priors and unbounded utility functions. Instead, the above comment is a recommended as an explanation of why paying the mugger is basically worthless in comparison with ordinary things you could do. So this hypothesis would say that if you set up your priors and your utility function in a reasonable way, the expected utility of downstream effects of ordinary good actions would greatly exceed the expected utility of paying the mugger. Even if you decided that the expected utility framework somehow breaks down in cases like this, I think various related claims would still be plausible. E.g., rather than saying that doing ordinary good things has higher expected utility, it would be plausible that doing ordinary good things is "better relative to your uncertainty" than paying the mugger. On a different note, another thing I find unsatisfying about the downstream effects reply is that it doesn't seem to match up with why ordinary people think it is dumb to pay the mugger. The ultimate reason I think it is dumb to pay the mugger is strongly related to why ordinary people think it is dumb to pay the mugger, and I would like to be able to thoroughly understand the most plausible common-sense explanation of why paying the mugger is dumb. The proposed relationship between ordinary actions and their distant effects seems too far off from why common sense would say that paying the mugger is dumb. I guess this is ultimately pretty close to one of Nick Bo
2paulfchristiano
I think we are all in agreement with this (modulo the fact that all of the expected values end up being infinite and so we can't compare in the normal way; if you e.g. proposed a cap of 3^^^^^^^3 on utilities, then you certainly wouldn't pay the mugger). It seems very likely to me that ordinary people are best modeled as having bounded utility functions, which would explain the puzzle. So it seems like there are two issues: 1. You would never pay the mugger in any case, because other actions are better. 2. If you object to the fact that the only thing you care about is a very small probability of an incredibly good outcome, then that's basically the definition of having a bounded utility function. And then there is the third issue Eliezer is dealing with, where he wants to be able to have an unbounded utility function even if that doesn't describe anyone's preferences (since it seems like boundedness is an unfortunate restriction to randomly impose on your preferences for technical reasons), and formally it's not clear how to do that. At the end of the post he seems to suggest giving up on that though.
3yli
Obviously to really put the idea of people having bounded utility functions to the test, you have to forget about it solving problems of small probabilities and incredibly good outcomes and focus on the most unintuitive consequences of it. For one, having a bounded utility function means caring arbitrarily little about differences between the goodness of different sufficiently good outcomes. And all the outcomes could be certain too. You could come up with all kinds of thought experiments involving purchasing huge numbers of years happy life or some other good for a few cents. You know all of this so I wonder why you don't talk about it. Also I believe that Eliezer thinks that an unbounded utility function describes at least his preferences. I remember he made a comment about caring about new happy years of life no matter how many he'd already been granted. (I haven't read most of the discussion in this thread or might just be missing something so this might be irrelevant.)
2paulfchristiano
As far as I know the strongest version of this argument is Benja's, here (which incidentally seems to deserve many more upvotes than it got). Benja's scenario isn't a problem for normal people though, who are not reflectively consistent and whose preferences manifestly change over time. Beyond that, it seems like people's preferences regarding the lifespan dilemma are somewhat confusing and probably inconsistent, much like their preferences regarding the repugnant conclusion. But that seems mostly orthogonal to pascal's mugging, and the basic point---having unbounded utility by definition means you are willing to accept negligible chances of sufficiently good outcomes against probability nearly 1 of any fixed bad outcome, so if you object to the latter you are just objecting to unbounded utility. I agree I was being uncharitable towards Eliezer. But it is true that at the end of this post he was suggesting giving up on unbounded utility, and that everyone in this crowd seems to ultimately take that route.
Sorry, I didn't mean to suggest otherwise. The "different perspective" part was supposed to be about the "in contrast" part. I agree with yli that this has other unfortunate consequences. And, like Holden, I find it unfortunate to have to say that saving N lives with probability 1/N is worse than saving 1 life with probability 1. I also recognize that the things I would like to say about this collection of cases are inconsistent with each other. It's a puzzle. I have written about this puzzle at reasonable length in my dissertation. I tend to think that bounded utility functions are the best consistent solution I know of, but that continuing to operate with inconsistent preferences (in a tasteful way) may be better in practice.
5CarlShulman
It's in Nick Bostrom's Infinite Ethics paper, which has been discussed repeatedly here, and has been floating around in various versions since 2003. He uses the term "empirical stabilizing assumption." I bring this up routinely in such discussions because of the misleading intuitions you elicit by using an example like a mugging that sets off many "no-go heuristics" that track chances of payoffs, large or small. But just because ordinary things may have a higher chance of producing huge payoffs than paying off a Pascal's Mugger (who doesn't do demonstrations), doesn't mean your activities will be completely unchanged by taking huge payoffs into account.
Maybe the answer to this reply is that if there is a downstream multiplier for ordinary good accomplished, there is also a downstream multiplier for good accomplished by the mugger in the scenario where he is telling the truth. And multiplying each by a constant doesn't change the bottom line.
-2benelliott
Why on earth would you expect the downstream utilities to exactly cancel the mugging utility?
The hypothesis is not that they exactly cancel the mugging utility, but that the downstream utilities exceed the mugging utility. I was actually thinking that these downstream effects would be much greater than paying the mugger.
0michaelsullivan
That's probably true in many cases, but the "mugger" scenario is really designed to test our limits. If 3^^^3 doesn't work, then probably 3^^^^3 will. To be logically coherent, there has to be some crossover point, where the mugger provides exactly enough evidence to decide that yes, it's worth paying the \$5, despite our astoundingly low priors. The proposed priors have one of two problems: 1. you can get mugged too easily, by your mugger simply being sophisticated enough to pick a high enough number to overwhelm your prior. 2. We've got a prior that is highly resistant to mugging, but unfortunately, is also resistant to being convinced by evidence. If there is any positive probability that we really could encounter a matrix lord able to do what they claim, and would offer some kind of pascal mugging like deal, there should be some amount of evidence that would convince us to take the deal. We would like it if the amount of necessary evidence were within the bounds of what it is possible for our brain to receive and update on in a lifetime, but that is not necessarily the case with the priors which we know will be able to avoid specious muggings. I'm not actually certain that a prior has to exist which doesn't have one of these two problems. I also agree with Eliezer's general principle that when we see convincing evidence of things that we previously considered effectively impossible (prior of /10^-googol or such), then we need to update the whole map on which that prior was based, not just on the specific point. When you watch a person turn into a small cat, either your own sense data, or pretty much your whole map of how things work must come into question. You can't just say "Oh, people can turn into cats." and move on as if that doesn't affect almost everything you previously thought you knew about how the world worked. It's much more likely, based on what I know right now, that I am having an unusually convincing dream or hallucination than that people
0endoself
The probability that humans will eventually be capable of creating x utility given that the mugger is capable of creating x utility probably converges to some constant as x goes to infinity. (Of course, this still isn't a solution as expected utility still doesn't convege.)
0Jiro
That assumes that the number is independent of the prior. I wouldn't make that assumption.

One point I don't see mentioned here that may be important is that someone is saying this to you.

I encounter lots of people. Each of them has lots of thoughts. Most of those thoughts, they do not express to me (for which I am grateful). How do they decide which thoughts to express? To a first approximation, they express thoughts which are likely, important and/or amusing. Therefore, when I hear a thought that is highly important or amusing, I expect it had less of a likelihood barrier to being expressed, and assign it a proportionally lower probability.

Note that this doesn't apply to arguments in general -- only to ones that other people say to me.

This is probably obvious, but if this problem persisted, a Pascal-Mugging-vulnerable AI would immediately get mugged even without external offers or influence. The possibility alone, however remote, of a certain sequence of characters unlocking a hypothetical control console which could potentially access an above Turing computing model which could influence (insert sufficiently high number) amounts of matter/energy, would suffice. If an AI had to decide "until what length do I utter strange tentative passcodes in the hope of unlocking some higher level of physics", it would get mugged by the shadow of a matrix lord every time.

It sounds like what you're describing is something that Iain Banks calls an "Out of Context Problem" - it doesn't seem like a 'leverage penalty' is the proper way to conceptualize what you're applying, as much as a 'privilege penalty'.

In other words, when the sky suddenly opens up and blue fire pours out, the entire context for your previous set of priors needs to be re-evaluated - and the very question of "should I give this man \$5" exists on a foundation of those now-devaluated priors.

Is there a formalized tree or mesh model for Bayesian probabilities? Because I think that might be fruitful.

There's something very counterintuitive about the notion that Pascal's Muggle is perfectly rational. But I think we need to do a lot more intuition-pump research before we'll have finished picking apart where that counterintuitiveness comes from. I take it your suggestion is that Pascal's Muggle seems unreasonable because he's overly confident in his own logical consistency and ability to construct priors that accurately reflect his credence levels. But he also seems unreasonable because he doesn't take into account that the likeliest explanations for the ...

One scheme with the properties you want is Wei Dai's UDASSA, e.g. see here. I think UDASSA is by far the best formal theory we have to date, although I'm under no delusions about how well it captures all of our intuitions (I'm also under no delusions about how consistent our intuitions are, so I'm resigned to accepting a scheme that doesn't capture them).

I think it would be more fair to call this allocation of measure part of my preferences, instead of "magical reality fluid." Thinking that your preferences are objective facts about the world see...

1drnickbone
A note - it looks like what Eliezer is suggesting here is not the same as UDASSA. See my analysis here - and endoself's reply - and here. The big difference is that UDASSA won't impose the same locational penalty on nodes in extreme situations, since the measure is shared unequally between nodes. There are programs q with relatively short length that can select out such extreme nodes (parties getting genuine offers from Matrix Lords with the power of 3^^^3) and so give them much higher relative weight than 1/3^^^3. Combine this with an unbounded utility, and the mugger problem is still there (as is the divergence in expected utility).
0paulfchristiano
I agree that what Eliezer described is not exactly UDASSA. At first I thought it was just like UDASSA but with a speed prior, but now I see that that's wrong. I suspect it ends up being within a constant factor of UDASSA, just by considering universes with tiny little demons that go around duplicating all of the observers a bunch of times. If you are using UDT, the role of UDASSA (or any anthropic theory) is in the definition of the utility function. We define a measure over observers, so that we can say how good a state of affairs is (by looking at the total goodness under that measure). In the case of UDASSA the utility is guaranteed to be bounded, because our measure is a probability measure. Similarly, there doesn't seem to be a mugging issue.
0drnickbone
As lukeprog says here, this really needs to be written up. It's not clear to me that just because the measure over observers (or observer moments) sums to one then the expected utility is bounded. Here's a stab. Let's use s to denote a sub-program of a universe program p, following the notation of my other comment. Each s gets a weight w(s) under UDASSA, and we normalize to ensure Sum{s} w(s) = 1. Then, presumably, an expected utility looks like E(U) = Sum{s} U(s) w(s), and this is clearly bounded provided the utility U(s) for each observer moment s is bounded (and U(s) = 0 for any sub-program which isn't an "observer moment"). But why is U(s) bounded? It doesn't seem obvious to me (perhaps observer moments can be arbitrarily blissful, rather than saturating at some state of pure bliss). Also, what happens if U bears no relationship to experiences/observer moments, but just counts the number of paperclips in the universe p? That's not going to be bounded, is it?
0paulfchristiano
I agree it would be nice if things were better written up; right now there is the description I linked and Hal Finney's. If individual moments can be arbitrarily good, then I agree you have unbounded utilities again. If you count the number of paperclips you would again get into trouble; the analogous thing to do would be to count the mesure of paperclips.
1cousin_it
Yeah, I like this solution too. It doesn't have to be based on the universal distribution, any distribution will work. You must have some way of distributing your single unit of care across all creatures in the multiverse. What matters is not the large number of creatures affected by the mugger, but their total weight according to your care function, which is less than 1 no matter what outlandish numbers the mugger comes up with. The "leverage penalty" is just the measure of your care for not losing \$5, which is probably more than 1/3^^^^3.
0lukeprog
Who might have the time, desire, and ability to write up UDASSA clearly, if MIRI provides them with resources?

What if the mugger says he will give you a single moment of pleasure that is 3^^^3 times more intense than a standard good experience? Wouldn't the leverage penalty not apply and thus make the probability of the mugger telling the truth much higher?

I think the real reason the mugger shouldn't be given money is that people are more likely to be able to attain 3^^^3 utils by donating the five dollars to an existential risk-reducing charity. Even though the current universe presumably couldn't support 3^^^3 utils, there is a chance of being able to create or ...

0Eliezer Yudkowsky
I don't think you can give me a moment of pleasure that intense without using 3^^^3 worth of atoms on which to run my brain, and I think the leverage penalty still applies then. You definitely can't give me a moment of worthwhile happiness that intense without 3^^^3 units of background computation.
0G0W51
The article said the leverage penalty "[penalizes] hypotheses that let you affect a large number of people, in proportion to the number of people affected." If this is all the leverage penalty does, then it doesn't matter if it takes 3^^^3 atoms or units of computation, because atoms and computations aren't people. That said, the article doesn't precisely define what the leverage penalty is, so there could be something I'm missing. So, what exactly is the leverage penalty? Does it penalize how many units of computation, rather than people, you can affect? This sounds much less arbitrary than the vague definition of "person" and sounds much easier to define: simply divide the prior of a hypothesis by the number of bits flipped by your actions in it and then normalize.
2Eliezer Yudkowsky
0G0W51
You're absolutely right. I'm not sure how I missed or forgot about reading that.

Indeed, you can't ever present a mortal like me with evidence that has a likelihood ratio of a googolplex to one - evidence I'm a googolplex times more likely to encounter if the hypothesis is true, than if it's false - because the chance of all my neurons spontaneously rearranging themselves to fake the same evidence would always be higher than one over googolplex. You know the old saying about how once you assign something probability one, or probability zero, you can never change your mind regardless of what evidence you see? Well, odds of a googolple...

4DanielLC
Are you sure? I would expect that it's possible to recover from that, and some actions would make you more likely to recover than others.
2TheOtherDave
If all of my experiences are dreaming/drugged/crazy/etc. experiences then what decision I make only matters if I value having one set of dreaming/drugged/crazy experiences over a different set of such experiences. The thing is, I sure do seem to value having one set of experiences over another. So if all of my experiences are dreaming/drugged/crazy/etc. experiences then it seems I do value having one set of such experiences over a different set of such experiences. So, given that, do I choose the dreaming/drugged/crazy/etc. experience of giving you \$5 (and whatever consequences that has?). Or of refusing to give you \$5 (and whatever consequences that has)? Or something else?
2DSimon
But that would destroy your ability to deal with optical illusions and misdirection.
1victordrake
Perhaps I should say ...in which I can't reasonably expect to GET evidence entangled with an underlying reality.

Random thoughts here, not highly confident in their correctness.

Why is the leverage penalty seen as something that needs to be added, isn't it just the obviously correct way to do probability.

Suppose I want to calculate the probability that a race of aliens will descend from the skies and randomly declare me Overlord of Earth some time in the next year. To do this, I naturally go to Delphi to talk to the Oracle of Perfect Priors, and she tells me that the chance of aliens descending from the skies and declaring an Overlord of Earth in the next year is 0.00...

4ArisKatsaris
How does this work with Clippy (the only paperclipper in known existence) being tempted with 3^^^^3 paperclips? That's part of why I dislike Robin Hanson's original solution. That the tempting/blackmailing offer involves 3^^^^3 other people, and that you are also a person should be merely incidental to one particular illustration of the problem of Pascal's Mugging -- and as such it can't be part of a solution to the core problem. To replace this with something like "causal nodes", as Eliezer mentions, might perhaps solve the problem. But I wish that we started talking about Clippy and his paperclips instead, so that the original illustration of the problem which involves incidental symmetries doesn't mislead us into a "solution" overreliant on symmetries.
0[anonymous]
Clippy has some sort of prior over the number of paperclips that could possibly exist. Let this number be P. Conditioned on each value of P, Clippy evaluates the utility of the offer and the probability that it comes true. In particular, for P < 3^^^^3, the conditional probability that the offer of 3^^^^3 paperclips is legit is 0. If some large number of paperclips exists, e.g. P = 2*3^^^^3, the offer might actually be viable with non-negligible probability, while its utility would be given by 3^^^^3/P. Note that this is always at most 1. However, unless Clippy lives in a very strange universe, it thinks that P >= 3^^^^3 is very unlikely. So the expected utility will be bounded by Pr[P >= 3^^^^3] and will end up being very small.
0benelliott
First thought, I'm not at all sure that it does. Pascal's mugging may still be a problem. This doesn't seem to contradict what I said about the leverage penalty being the only correct approach, rather than a 'fix' of some kind, in the first case. Worryingly, if you are correct it may also not be a 'fix' in the sense of not actually fixing anything. I notice I'm currently confused about whether the 'causal nodes' patch is justified by the same argument. I will think about it and hopefully find an answer.
-2khafra
This sounds a little bit like it might depend on the choice of SSA vs. SIA.

Okay, that makes sense. In that case, though, where's the problem? Claims in the form of "not only is X a true event, with details A, B, C, ..., but also it's the greatest event by metric M that has ever happened" should have low enough probability that a human writing it down specifically in advance as a hypothesis to consider, without being prompted by some specific evidence, is doing really badly epistemologically.

Also, I'm confused about the relationship to MWI.

Many of the conspiracy theories generated have some significant overlap (i.e. are not mutually exclusive), so one shouldn't expect the sum of their probabilities to be less than 1. It's permitted for P(Cube A is red) + P(Sphere X is blue) to be greater than 1.

Edit: formatting fixed. Thanks, wedrifid.

My response to the mugger:

• You claim to be able to simulate 3^^^^3 unique minds.
• It takes log(3^^^^3) bits just to count that many things, so my absolute upper bound on the prior for an agent capable of doing this is 1/3^^^^3.
• My brain is unable to process enough evidence to overcome this, so unless you can use your matrix powers to give me access to sufficient computing power to change my mind, get lost.

My response to the scientist:

• Why yes, you do have sufficient evidence to overturn our current model of the
...
3wedrifid
Try an additional linebreak before the first bullet point.
2wedrifid
Why does that prior follow from the counting difficulty?
1Schlega
I was thinking that using (length of program) + (memory required to run program) as a penalty makes more sense to me than (length of program) + (size of impact). I am assuming that any program that can simulate X minds must be able to handle numbers the size of X, so it would need more than log(X) bits of memory, which makes the prior less than 2^-log(X). I wouldn't be overly surprised if there were some other situation that breaks this idea too, but I was just posting the first thing that came to mind when I read this.
1DSimon
You're trying to italicize those long statements? It's possible that you need to get rid of the spaces around the asterisks. But you're probably better off just using quote boxes with ">" instead.

This system does seem to lead to the odd effect that you would probably be more willing to pay Pascal's Mugger to save 10^10^100 people than you would be willing to pay to save 10^10^101 people, since the leverage penalties make them about equal, but the latter has a higher complexity cost. In fact the leverage penalty effectively means that you cannot distinguish between events providing more utility than you can provide an appropriate amount of evidence to match.

6DanielLC
It's not that odd. If someone asked to borrow ten dollars, and said he'd pay you back tomorrow, would you believe him? What if he said he'd pay back \$20? \$100? \$1000000? All the money in the world? At some point, the probability goes down faster than the price goes up. That's why you can't just get a loan and keep raising the interest to make up for the fact that you probably won't ever pay it back.

Is there any particular reason an AI wouldn't be able to self-modify with regards to its prior/algorithm for deciding prior probabilities? A basic Solomonoff prior should include a non-negligible chance that it itself isn't perfect for finding priors, if I'm not mistaken. That doesn't answer the question as such, but it isn't obvious to me that it's necessary to answer this one to develop a Friendly AI.

1DanielLC
You are mistaken. A prior isn't something that can be mistaken per se. The closest it can get is assigning a low probability to something that is true. However, any prior system will say that the probability it gives of something being true is exactly equal to the probability of it being true, therefore it is well-calibrated. It will occasionally give low probabilities for things that are true, but only to the extent that unlikely things sometimes happen.

As near as I can figure, the corresponding state of affairs to a complexity+leverage prior improbability would be a Tegmark Level IV multiverse in which each reality got an amount of magical-reality-fluid corresponding to the complexity of its program (1/2 to the power of its Kolmogorov complexity) and then this magical-reality-fluid had to be divided among all the causal elements within that universe - if you contain 3↑↑↑3 causal nodes, then each node can only get 1/3↑↑↑3 of the total realness of that universe.

The difference between this and average ut...

3Manfred
Just to jump in here - the solution to the doomsday argument is that it is a low-information argument in a high-information situation. Basically, once you know you're the 10 billionth zorblax, your prior should indeed put you in the middle of the group of zorblaxes, for 20 billion total, no matter what a zorblax is. This is correct and makes sense. The trouble comes if you open your eyes, collect additional data, like population growth patterns, and then never use any of that to update the prior. When people put population growth patterns and the doomsday prior together in the same calculation for the "doomsday date," that's just blatantly having data but not updating on it.

There is likely a broader-scoped discussion on this topic that I haven't read, so please point me to such a thread if my comment is addressed -- but it seems to me that there is a simpler resolution to this issue (as well as an obvious limitation to this way of thinking), namely that there's an almost immediate stage (in the context of highly-abstract hypotheticals) where probability assessment breaks down completely.

For example, there are an uncountably-infinite number of different parent universes we could have. There are even an uncountably-infinite ...

A few thoughts:

I haven't strongly considered my prior on being able to save 3^^^3 people (more on this to follow). But regardless of what that prior is, if approached by somebody claiming to be a Matrix Lord who claims he can save 3^^^3 people, I'm not only faced with the problem of whether I ought to pay him the \$5 - I'm also faced with the question of whether I ought to walk over to the next beggar on the street, and pay him \$0.01 to save 3^^^3 people. Is this person 500 times more likely to be able to save 3^^^3 people? From the outset, not really. And ...

3CCC
Honestly, at this point, I would strongly update in the direction that I am being deceived in some manner. Possibly I am dreaming, or drugged, of the person in front of me has some sort of perception-control device. I do not see any reason why someone who could open the sky, split the Red Sea, and so on, would need \$5; and if he did, why not make it himself? Or sell the fish? The only reasons I can imagine for a genuine Matrix Lord pulling this on me are very bad for me. Either he's a sadist who likes people to suffer - in which case I'm doomed no matter what I do - or there's something that he's not telling me (perhaps doing what he says once surrenders my free will, allowing him to control me forever?), which implies that he believes that I would reject his demand if I knew the truth behind it, which strongly prompts me to reject his demand. Or he's insane, following no discernable rules, in which case the only thing to do is to try to evade notice (something I've clearly already failed at).
3Rob Bensinger
That your universe is controlled by a sadist doesn't suggest that every possible action you could do is equivalent. Maybe all your possible fates are miserable, but some are far more miserable than others. More importantly, a being might be sadistic in some respects/situations but not in others. I also have to assign a very, very low prior to anyone's being able to figure out in 5 minutes what the Matrix Lord's exact motivations are. Your options are too simplistic even to describe minds of human-level complexity, much less ones of the complexity required to design or oversee physics-breakingly large simulations. I think indifference to our preferences (except as incidental to some other goal, e.g., paperclipping) is more likely than either sadism or beneficence. Only very small portions of the space of values focus on human-style suffering or joy. Even in hypotheticals that seem designed to play with human moral intuitions. Eliezer's decision theory conference explanation makes as much sense as any.
0CCC
You are right. However, I can see no way to decide which course of action is best (or least miserable). My own decision process becomes questionable in such a situation; I can't imagine any strategy that is convincingly better than taking random actions. When I say "doomed no matter what I do", I do not mean doomed with certainty. I mean that I have a high probability of doom, for any given action, and I cannot find a way to minimise that probability through my own actions. Thinking about this, I think that you are right. I still consider sadism more likely than beneficence, but I had been setting the prior for indifference too low. This implies that the Matrix Lord has preferences, but these preferences are unknown and possibly unknowable (perhaps he wants to maximise slood). ... This make the question of which action to best take even more difficult to answer. I do not know anything about slood; I cannot, because it only exists outside the Matrix. The only source of information from outside the Matrix is the Matrix Lord. This implies that, before reaching any decision, I should spend a long time interviewing the Matrix Lord, in an attempt to better be able to model him.
1Rob Bensinger
Well, this Matrix Lord seems very interested in decision theory and utilitarianism. Sadistic or not, I expect such a being to respond more favorably to attempts to take the dilemmas he raised seriously than to an epistemic meltdown. Taking the guy at his word and trying to reason your way through the problem is likely to give him more useful data than attempts to rebel or go crazy, and if you're useful then it's less likely that he'll punish you or pull the plug on your universe's simulation.
0CCC
It seems reasonably likely that this will lead to a response of "...alright, I've got the data that I wanted, no need to keep this simulation running any longer..." and then pulling the plug on my universe. While it is true that this strategy is likely to lead to a happier Matrix Lord (especially if the data that I give him coincides with the data he expects), I'm not convinced that it leads to a longer existence for my universe.
1Rob Bensinger
That may be true too. It depends on the priors we have for generic superhuman agents' reasons for keeping a simulation running (e.g., having some other science experiments planned, wanting to reward you for providing data...) vs. for shutting it down (e.g., vindictiveness, energy conservation, being interested only in one data point per simulation...). We do have some data to work with here, since we have experience with the differential effects of power, intelligence, curiosity, etc. among humans. That data is only weakly applicable to such an exotic agent, but it does play a role, so our uncertainty isn't absolute. My main point was that unusual situations like this don't call for complete decision-theoretic despair; we still need to make choices, and we can still do so reasonably, though our confidence that the best decision is also a winning decision is greatly diminished.
2TheOtherDave
Well, if I'm going to free-form speculate about the scenario, rather than use it to explore the question it was introduced to explore, the most likely explanation that occurs to me is that the entity is doing the Matrix Lord equivalent of free-form speculating... that is, it's wondering "what would humans do, given this choice and that information?" And, it being a Matrix Lord, its act of wondering creates a human mind (in this case, mine) and gives it that choice and information. Which makes it likely that I haven't actually lived through most of the life I remember, and that I won't continue to exist much longer than this interaction, and that most of what I think is in the world around me doesn't actually exist. That said, I'm not sure what use free-form speculating about such bizarre and underspecified scenarios really is, though I'll admit it's kind of fun.
0CCC
It's kind of fun. Isn't that reason enough? Looking at the original question - i.e. how to handle very large utilities with very small probability - I find that I have a mental safety net there. The safety net says that the situation is a lie. It does not matter how much utility is claimed, because anyone can state any arbitrarily large number, and a number has been chosen (in this case, by the Matrix Lord) in a specific attempt to overwhelm my utility function. The small probability is chosen (a) because I would not believe a larger probability and (b) so that I have no recourse when it fails to happen. I am reluctant to fiddle with my mental safety nets because, well, they're safety nets - they're there for a reason. And in this case, the reason is that such a fantastically unlikely event is unlikely enough that it's not likely to happen ever, to anyone. Not even once in the whole history of the universe. If I (out of all the hundreds of billions of people in all of history) do ever run across such a situation, then it's so incredibly overwhelmingly more likely that I am being deceived that I'm far more likely to gain by immediately jumping to the conclusion of 'deceit' than by assuming that there's any chance of this being true.
0TheOtherDave
(nods) Sure. My reply here applies here as well.
0Eliezer Yudkowsky
Those aren't "distinguished enough to be written down" before the game is played. I'll edit to make this slightly clearer hopefully.

(edit: wide-open)

This link seems to no longer work.

Is it reasonable to take this as evidence that we shouldn't use expected utility computations, or not only expected utility computations, to guide our decisions?

If I understand the context, the reason we believed an entity, either a human or an AI, ought to use expected utility as a practical decision making strategy, is because it would yield good results (a simple, general architecture for decision making). If there are fully general attacks (muggings) on all entities that use expected utility as a practical decision making strategy, then perhaps we shou...