Moore’s Law

Is Singularitarianism a religion?

pnrj ethics, futurism , , , , , , ,

 

Nov 17 JDN 2458805

I said in last week’s post that Pascal’s Mugging provides some deep insights into both Singularitarianism and religion. In particular, it explains why Singularitarianism seems so much like a religion.

This has been previously remarked, of course. I think Eric Steinhart makes the best case for Singularitarianism as a religion:

I think singularitarianism is a new religious movement. I might add that I think Clifford Geertz had a pretty nice (though very abstract) definition of religion. And I think singularitarianism fits Geertz’s definition (but that’s for another time).

My main interest is this: if singularitarianism is a new religious movement, then what should we make of it? Will it mainly be a good thing? A kind of enlightenment religion? It might be an excellent alternative to old-fashioned Abrahamic religion. Or would it degenerate into the well-known tragic pattern of coercive authority? Time will tell; but I think it’s worth thinking about this in much more detail.

To be clear: Singularitarianism is probably not a religion. It is certainly not a cult, as it has been even worse accused; the behaviors it prescribes are largely normative, pro-social behaviors, and therefore it would at worst be a mainstream religion. Really, if every religion only inspired people to do things like donate to famine relief and work on AI research (as opposed to, say, beheading gay people), I wouldn’t have much of a problem with religion.

In fact, Singularitarianism has one vital advantage over religion: Evidence. While the evidence in favor of it is not overwhelming, there is enough evidential support to lend plausibility to at least a broad concept of Singularitarianism: Technology will continue rapidly advancing, achieving accomplishments currently only in our wildest imaginings; artificial intelligence surpassing human intelligence will arise, sooner than many people think; human beings will change ourselves into something new and broadly superior; these posthumans will go on to colonize the galaxy and build a grander civilization than we can imagine. I don’t know that these things are true, but I hope they are, and I think it’s at least reasonably likely. All I’m really doing is extrapolating based on what human civilization has done so far and what we are currently trying to do now. Of course, we could well blow ourselves up before then, or regress to a lower level of technology, or be wiped out by some external force. But there’s at least a decent chance that we will continue to thrive for another million years to come.

But yes, Singularitarianism does in many ways resemble a religion: It offers a rich, emotionally fulfilling ontology combined with ethical prescriptions that require particular behaviors. It promises us a chance at immortality. It inspires us to work toward something much larger than ourselves. More importantly, it makes us special—we are among the unique few (millions?) who have the power to influence the direction of human and posthuman civilization for a million years. The stronger forms of Singularitarianism even have a flavor of apocalypse: When the AI comes, sooner than you think, it will immediately reshape everything at effectively infinite speed, so that from one year—or even one moment—to the next, our whole civilization will be changed. (These forms of Singularitarianism are substantially less plausible than the broader concept I outlined above.)

It’s this sense of specialness that Pascal’s Mugging provides some insight into. When it is suggested that we are so special, we should be inherently skeptical, not least because it feels good to hear that. (As Less Wrong would put it, we need to avoid a Happy Death Spiral.) Human beings like to feel special; we want to feel special. Our brains are configured to seek out evidence that we are special and reject evidence that we are not. This is true even to the point of absurdity: One cannot be mathematically coherent without admitting that the compliment “You’re one in a million.” is equivalent to the statement “There are seven thousand people as good or better than you.”—and yet, the latter seems much worse, because it does not make us sound special.

Indeed, the connection between Pascal’s Mugging and Pascal’s Wager is quite deep: Each argument takes a tiny probability and multiplies it by a huge impact in order to get a large expected utility. This often seems to be the way that religions defend themselves: Well, yes, the probability is small; but can you take the chance? Can you afford to take that bet if it’s really your immortal soul on the line?

And Singularitarianism has a similar case to make, even aside from the paradox of Pascal’s Mugging itself. The chief argument for why we should be focusing all of our time and energy on existential risk is that the potential payoff is just so huge that even a tiny probability of making a difference is enough to make it the only thing that matters. We should be especially suspicious of that; anything that says it is the only thing that matters is to be doubted with utmost care. The really dangerous religion has always been the fanatical kind that says it is the only thing that matters. That’s the kind of religion that makes you crash airliners into buildings.

I think some people may well have become Singularitarians because it made them feel special. It is exhilarating to be one of these lone few—and in the scheme of things, even a few million is a small fraction of all past and future humanity—with the power to effect some shift, however small, in the probability of a far grander, far brighter future.

Yet, in fact this is very likely the circumstance in which we are. We could have been born in the Neolithic, struggling to survive, utterly unaware of what would come a few millennia hence; we could have been born in the posthuman era, one of a trillion other artist/gamer/philosophers living in a world where all the hard work that needed to be done is already done. In the long S-curve of human development, we could have been born in the flat part on the left or the flat part on the right—and by all probability, we should have been; most people were. But instead we happened to be born in that tiny middle slice, where the curve slopes upward at its fastest. I suppose somebody had to be, and it might as well be us.

Sigmoid curve labeled

A priori, we should doubt that we were born so special. And when forming our beliefs, we should compensate for the fact that we want to believe we are special. But we do in fact have evidence, lots of evidence. We live in a time of astonishing scientific and technological progress.

My lifetime has included the progression from Deep Thought first beating David Levy to the creation of a computer one millimeter across that runs on a few nanowatts and nevertheless has ten times as much computing power as the 80-pound computer that ran the Saturn V. (The human brain runs on about 100 watts, and has a processing power of about 1 petaflop, so we can say that our energy efficiency is about 10 TFLOPS/W. The M3 runs on about 10 nanowatts and has a processing power of about 0.1 megaflops, so its energy efficiency is also about 10 TFLOPS/W. We did it! We finally made a computer as energy-efficient as the human brain! But we have still not matched the brain in terms of space-efficiency: The volume of the human brain is about 1000 cm^3, so our space efficiency is about 1 TFLOPS/cm^3. The volume of the M3 is about 1 mm^3, so its space efficiency is only about 100 MFLOPS/cm^3. The brain still wins by a factor of 10,000.)

My mother saw us go from the first jet airliners to landing on the Moon to the International Space Station and robots on Mars. She grew up before the polio vaccine and is still alive to see the first 3D-printed human heart. When I was a child, smartphones didn’t even exist; now more people have smartphones than have toilets. I may yet live to see the first human beings set foot on Mars. The pace of change is utterly staggering.

Without a doubt, this is sufficient evidence to believe that we, as a civilization, are living in a very special time. The real question is: Are we, as individuals, special enough to make a difference? And if we are, what weight of responsibility does this put upon us?

If you are reading this, odds are the answer to the first question is yes: You are definitely literate, and most likely educated, probably middle- or upper-middle-class in a First World country. Countries are something I can track, and I do get some readers from non-First-World countries; and of course I don’t observe your education or socioeconomic status. But at an educated guess, this is surely my primary reading demographic. Even if you don’t have the faintest idea what I’m talking about when I use Bayesian logic or calculus, you’re already quite exceptional. (And if you do? All the more so.)

That means the second question must apply: What do we owe these future generations who may come to exist if we play our cards right? What can we, as individuals, hope to do to bring about this brighter future?

The Singularitarian community will generally tell you that the best thing to do with your time is to work on AI research, or, failing that, the best thing to do with your money is to give it to people working on artificial intelligence research. I’m not going to tell you not to work on AI research or donate to AI research, as I do think it is among the most important things humanity needs to be doing right now, but I’m also not going to tell you that it is the one single thing you must be doing.

You should almost certainly be donating somewhere, but I’m not so sure it should be to AI research. Maybe it should be famine relief, or malaria prevention, or medical research, or human rights, or environmental sustainability. If you’re in the United States (as I know most of you are), the best thing to do with your money may well be to support political campaigns, because US political, economic, and military hegemony means that as goes America, so goes the world. Stop and think for a moment how different the prospects of global warming might have been—how many millions of lives might have been saved!—if Al Gore had become President in 2001. For lack of a few million dollars in Tampa twenty years ago, Miami may be gone in fifty. If you’re not sure which cause is most important, just pick one; or better yet, donate to a diversified portfolio of charities and political campaigns. Diversified investment isn’t just about monetary return.

And you should think carefully about what you’re doing with the rest of your life. This can be hard to do; we can easily get so caught up in just getting through the day, getting through the week, just getting by, that we lose sight of having a broader mission in life. Of course, I don’t know what your situation is; it’s possible things really are so desperate for you that you have no choice but to keep your head down and muddle through. But you should also consider the possibility that this is not the case: You may not be as desperate as you feel. You may have more options than you know. Most “starving artists” don’t actually starve. More people regret staying in their dead-end jobs than regret quitting to follow their dreams. I guess if you stay in a high-paying job in order to earn to give, that might really be ethically optimal; but I doubt it will make you happy. And in fact some of the most important fields are constrained by a lack of good people doing good work, and not by a simple lack of funding.

I see this especially in economics: As a field, economics is really not focused on the right kind of questions. There’s far too much prestige for incrementally adjusting some overcomplicated unfalsifiable mess of macroeconomic algebra, and not nearly enough for trying to figure out how to mitigate global warming, how to turn back the tide of rising wealth inequality, or what happens to human society once robots take all the middle-class jobs. Good work is being done in devising measures to fight poverty directly, but not in devising means to undermine the authoritarian regimes that are responsible for maintaining poverty. Formal mathematical sophistication is prized, and deep thought about hard questions is eschewed. We are carefully arranging the pebbles on our sandcastle in front of the oncoming tidal wave. I won’t tell you that it’s easy to change this—it certainly hasn’t been easy for me—but I have to imagine it’d be easier with more of us trying rather than with fewer. Nobody needs to donate money to economics departments, but we definitely do need better economists running those departments.

You should ask yourself what it is that you are really good at, what you—you yourself, not anyone else—might do to make a mark on the world. This is not an easy question: I have not quite answered for myself whether I would make more difference as an academic researcher, a policy analyst, a nonfiction author, or even a science fiction author. (If you scoff at the latter: Who would have any concept of AI, space colonization, or transhumanism, if not for science fiction authors? The people who most tilted the dial of human civilization toward this brighter future may well be Clarke, Roddenberry, and Asimov.) It is not impossible to be some combination or even all of these, but the more I try to take on the more difficult my life becomes.

Your own path will look different than mine, different, indeed, than anyone else’s. But you must choose it wisely. For we are very special individuals, living in a very special time.

Games as economic simulations—and education tools

pnrj cognitive science, development economics, futurism, macroeconomics , , , , , , , , , , ,

Mar 5, JDN 2457818 [Sun]

Moore’s Law is a truly astonishing phenomenon. Now as we are well into the 21st century (I’ve lived more of my life in the 21st century than the 20th now!) it may finally be slowing down a little bit, but it has had quite a run, and even this could be a temporary slowdown due to economic conditions or the lull before a new paradigm (quantum computing?) matures. Since at least 1975, the computing power of an individual processor has doubled approximately every year and a half; that means it has doubled over 25 times—or in other words that it has increased by a factor of over 30 million. I now have in my pocket a smartphone with several thousand times the processing speed of the guidance computer of the Saturn V that landed on the Moon.

This meteoric increase in computing power has had an enormous impact on the way science is done, including economics. Simple theoretical models that could be solved by hand are now being replaced by enormous simulation models that have to be processed by computers. It is now commonplace to devise models with systems of dozens of nonlinear equations that are literally impossible to solve analytically, and just solve them iteratively with computer software.

But one application of this technology that I believe is currently underutilized is video games.

As a culture, we still have the impression that video games are for children; even games like Dragon Age and Grand Theft Auto that are explicitly for adults (and really quite inappropriate for children!) are viewed as in some sense “childish”—that no serious adult would be involved with such frivolities. The same cultural critics who treat Shakespeare’s vagina jokes as the highest form of art are liable to dismiss the poignant critique of war in Call of Duty: Black Ops or the reflections on cultural diversity in Skyrim as mere puerility.

But video games are an art form with a fundamentally greater potential than any other. Now that graphics are almost photorealistic, there is really nothing you can do in a play or a film that you can’t do in a video game—and there is so, so much more that you can only do in a game.
In what other medium can we witness the spontaneous emergence and costly aftermath of a war? Yet EVE Online has this sort of event every year or so—just today there was a surprise attack involving hundreds of players that destroyed thousands of hours’—and dollars’—worth of starships, something that has more or less become an annual tradition. A few years ago there was a massive three-faction war that destroyed over $300,000 in ships and has now been commemorated as “the Bloodbath of B-R5RB”.
Indeed, the immersion and interactivity of games present an opportunity to do nothing less than experimental macroeconomics. For generations it has been impossible, or at least absurdly unethical, to ever experimentally manipulate an entire macroeconomy. But in a video game like EVE Online or Second Life, we can now do so easily, cheaply, and with little or no long-term harm to the participants—and we can literally control everything in the experiment. Forget the natural resource constraints and currency exchange rates—we can change the laws of physics if we want. (Indeed, EVE‘s whole trade network is built around FTL jump points, and in Second Life it’s a basic part of the interface that everyone can fly like Superman.)

This provides untold potential for economic research. With sufficient funding, we could build a game that would allow us to directly test hypotheses about the most fundamental questions of economics: How do governments emerge and maintain security? How is the rule of law sustained, and when can it be broken? What controls the value of money and the rate of inflation? What is the fundamental cause of unemployment, and how can it be corrected? What influences the rate of technological development? How can we maximize the rate of economic growth? What effect does redistribution of wealth have on employment and output? I envision a future where we can directly simulate these questions with thousands of eager participants, varying the subtlest of parameters and carrying out events over any timescale we like from seconds to centuries.

Nor is the potential of games in economics limited to research; it also has enormous untapped potential in education. I’ve already seen in my classes how tabletop-style games with poker chips can teach a concept better in a few minutes than hours of writing algebra derivations on the board; but custom-built video games could be made that would teach economics far better still, and to a much wider audience. In a well-designed game, people could really feel the effects of free trade or protectionism, not just on themselves as individuals but on entire nations that they control—watch their GDP numbers go down as they scramble to produce in autarky what they could have bought for half the price if not for the tariffs. They could see, in real time, how in the absence of environmental regulations and Pigovian taxes the actions of millions of individuals could despoil our planet for everyone.

Of course, games are fundamentally works of fiction, subject to the Fictional Evidence Fallacy and only as reliable as their authors make them. But so it is with all forms of art. I have no illusions about the fact that we will never get the majority of the population to regularly read peer-reviewed empirical papers. But perhaps if we are clever enough in the games we offer them to play, we can still convey some of the knowledge that those papers contain. We could also update and expand the games as new information comes in. Instead of complaining that our students are spending time playing games on their phones and tablets, we could actually make education into games that are as interesting and entertaining as the ones they would have been playing. We could work with the technology instead of against it. And in a world where more people have access to a smartphone than to a toilet, we could finally bring high-quality education to the underdeveloped world quickly and cheaply.

Rapid growth in computing power has given us a gift of great potential. But soon our capacity will widen even further. Even if Moore’s Law slows down, computing power will continue to increase for awhile yet. Soon enough, virtual reality will finally take off and we’ll have even greater depth of immersion available. The future is bright—if we can avoid this corporatist cyberpunk dystopia we seem to be hurtling toward, of course.

The power of exponential growth

pnrj cognitive science, core principles, statistics , , , , , , , , , ,

JDN 2457390

There’s a famous riddle: If the water in a lakebed doubles in volume every day, and the lakebed started filling on January 1, and is half full on June 17, when will it be full?

The answer is of course June 18—if it doubles every day, it will go from half full to full in a single day.

But most people assume that half the work takes about half the time, so they usually give answers in December. Others try to correct, but don’t go far enough, and say something like October.

Human brains are programmed to understand linear processes. We expect things to come in direct proportion: If you work twice as hard, you expect to get twice as much done. If you study twice as long, you expect to learn twice as much. If you pay twice as much, you expect to get twice as much stuff.

We tend to apply this same intuition to situations where it does not belong, processes that are not actually linear but exponential. As a result, when we extrapolate the slow growth early in the process, we wildly underestimate the total growth in the long run.

For example, suppose we have two countries. Arcadia has a GDP of $100 billion per year, and they grow at 4% per year. Berkland has a GDP of $200 billion, and they grow at 2% per year. Assuming that they maintain these growth rates, how long will it take for Arcadia’s GDP to exceed Berkland’s?

If we do this intuitively, we might sort of guess that at 4% you’d add 100% in 25 years, and at 2% you’d add 100% in 50 years; so it should be something like 75 years, because then Arcadia will have added $300 million while Berkland added $200 million. You might even just fudge the numbers in your head and say “about a century”.

In fact, it is only 35 years. You could solve this exactly by setting (100)(1.04^x) = (200)(1.02^x); but I have an intuitive method that I think may help you to estimate exponential processes in the future.

Divide the percentage into 69. (For some numbers it’s easier to use 70 or 72; remember, these are just to be approximate. The exact figure is 100*ln(2) = 69.3147… and then it wouldn’t be the percentage p but 100*ln(1+p/100); try plotting those and you’ll see why using p works.) This is the time it will take to double.

So at 4%, Arcadia will double in about 17.5 years, quadrupling in 35 years. At 2%, Berkland will double in about 35 years. Thus, in 35 years, Arcadia will quadruple and Berkland will double, so their GDPs will be equal.

Economics is full of exponential processes: Compound interest is exponential, and over moderately long periods GDP and population both tend to grow exponentially. (In fact they grow logistically, which is similar to exponential until it gets very large and begins to slow down. If you smooth out our recessions, you can get a sense that since the 1940s, US GDP growth has slowed down from about 4% per year to about 2% per year.) It is therefore quite important to understand how exponential growth works.

Let’s try another one. If one account has $1 million, growing at 5% per year, and another has $1,000, growing at 10% per year, how long will it take for the second account to have more money in it?

69/5 is about 14, so the first account doubles in 14 years. 69/10 is about 7, so the second account doubles in 7 years. A factor of 1000 is about 10 doublings (2^10 = 1024), so the second account needs to have doubled 10 times more than the first account. Since it doubles twice as often, this means that it must have doubled 20 times while the other doubled 10 times. Therefore, it will take about 140 years.

In fact, it takes 141—so our quick approximation is actually remarkably good.

This example is instructive in another way; 141 years is a pretty long time, isn’t it? You can’t just assume that exponential growth is “as fast as you want it to be”. Once people realize that exponential growth is very fast, they often overcorrect, assuming that exponential growth automatically means growth that is absurdly—or arbitrarily—fast. (XKCD made a similar point in this comic.)

I think the worst examples of this mistake are among Singularitarians. They—correctly—note that computing power has become exponentially greater and cheaper over time, doubling about every 18 months, which has been dubbed Moore’s Law. They assume that this will continue into the indefinite future (this is already problematic; the growth rate seems to be already slowing down). And therefore they conclude there will be a sudden moment, a technological singularity, at which computers will suddenly outstrip humans in every way and bring about a new world order of artificial intelligence basically overnight. They call it a “hard takeoff”; here’s a direct quote:

But many thinkers in this field including Nick Bostrom and Eliezer Yudkowsky worry that AI won’t work like this at all. Instead there could be a “hard takeoff”, a huge subjective discontinuity in the function mapping AI research progress to intelligence as measured in ability-to-get-things-done. If on January 1 you have a toy AI as smart as a cow, one which can identify certain objects in pictures and navigate a complex environment, and on February 1 it’s proved the Riemann hypothesis and started building a ring around the sun, that was a hard takeoff.

Wait… what? For someone like me who understands exponential growth, the last part is a baffling non sequitur. If computers start half as smart as us and double every 18 months, in 18 months, they will be as smart as us. In 36 months, they will be twice as smart as us. Twice as smart as us literally means that two people working together perfectly can match them—certainly a few dozen working realistically can. We’re not in danger of total AI domination from that. With millions of people working against the AI, we should be able to keep up with it for at least another 30 years. So are you assuming that this trend is continuing or not? (Oh, and by the way, we’ve had AIs that can identify objects and navigate complex environments for a couple years now, and so far, no ringworld around the Sun.)

That same essay make a biological argument, which misunderstands human evolution in a way that is surprisingly subtle yet ultimately fundamental:

If you were to come up with a sort of objective zoological IQ based on amount of evolutionary work required to reach a certain level, complexity of brain structures, etc, you might put nematodes at 1, cows at 90, chimps at 99, homo erectus at 99.9, and modern humans at 100. The difference between 99.9 and 100 is the difference between “frequently eaten by lions” and “has to pass anti-poaching laws to prevent all lions from being wiped out”.

No, actually, what makes humans what we are is not that we are 1% smarter than chimpanzees.

First of all, we’re actually more like 200% smarter than chimpanzees, measured by encephalization quotient; they clock in at 2.49 while we hit 7.44. If you simply measure by raw volume, they have about 400 mL to our 1300 mL, so again roughly 3 times as big. But that’s relatively unimportant; with Moore’s Law, tripling only takes about 2.5 years.

But even having triple the brain power is not what makes humans different. It was a necessary condition, but not a sufficient one. Indeed, it was so insufficient that for about 200,000 years we had brains just as powerful as we do now and yet we did basically nothing in technological or economic terms—total, complete stagnation on a global scale. This is a conservative estimate of when we had brains of the same size and structure as we do today.

What makes humans what we are? Cooperation. We are what we are because we are together.
The capacity of human intelligence today is not 1300 mL of brain. It’s more like 1.3 gigaliters of brain, where a gigaliter, a billion liters, is about the volume of the Empire State Building. We have the intellectual capacity we do not because we are individually geniuses, but because we have built institutions of research and education that combine, synthesize, and share the knowledge of billions of people who came before us. Isaac Newton didn’t understand the world as well as the average third-grader in the 21st century does today. Does the third-grader have more brain? Of course not. But they absolutely do have more knowledge.

(I recently finished my first playthrough of Legacy of the Void, in which a central point concerns whether the Protoss should detach themselves from the Khala, a psychic union which combines all their knowledge and experience into one. I won’t spoil the ending, but let me say this: I can understand their hesitation, for it is basically our equivalent of the Khala—first literacy, and now the Internet—that has made us what we are. It would no doubt be the Khala that made them what they are as well.)

Is AI still dangerous? Absolutely. There are all sorts of damaging effects AI could have, culturally, economically, militarily—and some of them are already beginning to happen. I even agree with the basic conclusion of that essay that OpenAI is a bad idea because the cost of making AI available to people who will abuse it or create one that is dangerous is higher than the benefit of making AI available to everyone. But exponential growth not only isn’t the same thing as instantaneous takeoff, it isn’t even compatible with it.

The next time you encounter an example of exponential growth, try this. Don’t just fudge it in your head, don’t overcorrect and assume everything will be fast—just divide the percentage into 69 to see how long it will take to double.