FIFA Coins 15 Online

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The FIFA world-cup 2014 is just about to happen. It’s going to be among the uncommon chances for the state as numerous devotees get investigate its wonderful sceneries, wildlife and bacteria but additionally to not just see football to encourage vacation.

Brazil has a well-outfitted primary arena with an ability that is huge to adapt hundreds of supporters. FIFA 15 players can get cheapest fifa 15 coins from Although there’s no substantially change that is apparent, it’s not credible that Brazilian may sponsor hundreds of visitors as a result of the championship event.

Speaking of the occasion brazil a few issues are expected particularly regarding infrastructure, health, transportation and protection. To start with, the well-being providers are needing in many community hospitals, medi cal mistakes can also be not unusual. Study implies that in just the most affluent town in the nation, over 4,500 health-related mistakes are reported per annum!

Infrastructure and transportation is another place that should be investigated. As stated by the “eight out of twelve periods of world-cup training are overdue and this may be more expensive than expected” yet, specialists are taking care of this. The better issue is when it comes to transport. The typical Brazilian encounters issues like over-crowding and other modes of transportation.

Snarl-up can be not unusual in many towns for means that is personal; extremely not unusual for the cab motorists increase costs so that you can benefit from such occasions that are specific. Are there measures set in place control costs and to control this kind of training? Moreover, how may a customer or a person that is frequent record any type of issue or maltreatment and are there specialists for attending the special needs offered?

Electricity isn’t sometimes that is trustworthy. It requires hrs for a black-out to be done. Reviews happen to be pointing out that it can be an important problem in this occasion that is unforgettable and it’s possible to previously question how it’s going to be!

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Insecurity is an issue that is noteworthy. It’s possible to be attacked everywhere also at a restaurant while getting supper! Small offenses, structured and felonies will be the buy of the evening. Kids killing substance abuse and their parents Bandit attacks, are only but a couple of examples that paint a image of the desiring protection scenario in the state.

The same as in any state, improvement in Brazilian affects. Unfortunately, there’s little enforcement on guidelines to control the vice although instances of problem in public management organs are noted. It’s each and every Brazilian’s want their safety methods will one-day be ranked the best, transport may not be more difficult, and well-being and instruction may not be inaccessible for them producing in a well-developed nation that may help nations that are other. The major issue is ready is Brazil to manage crises in transportation, well-being, protection and infrastructure?

Buy Cheap FIFA 14 Coins

Buy Cheap FIFA 14 Coins

Tiny is being done to save the scenario as exemplified by issues often introduced in magazines and posts.One believe that behind the situation’s amazing functions of lovely and character individuals, severe progress is needed by distinct places of advancement. It’s my genuine wish our values that are great be re-established making us Brazilians that are happy.

May FIFA worldcup be failing or successful? as One adjust You will find always two sides to your coin although the issues have been mentioned by us in this building region. Welcome as you see Brazil to enjoy hospitability and its elegance remember small information is not safe therefore be advised prepare to appreciate the world-cup encounter!

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Get Runescape Gold Fast



If you must find out how to get Runescape gold quickly, and you happen to be nevertheless a participant that is new, you then must pay attention to just a couple of issues.

First, what matters have you been eliminating? Second, which things have you been maintaining? Next, what things have you been creating? Also starting players can make adequate cash, ample as they advance through their battle degrees to buy arms and better armour. The response that is easy would be to gather things that greater level players desire and desire, but don’t want to invest time-on. There are just two things which can be best-in the early heading:

1. Feathers. Killing hens is the very first thing you ought to do in Runescape, since you can find a lot of abilities it is possible to perform on simultaneously: cooking, battle and prayer. In addition, it is possible to gather feathers that may be offered for around 4 gold each at the Grand Exchange. Accurate, that’s not a good deal, . however, it is not difficult to gather about 1,000 feathers roughly as each hen falls about 5. Additionally, maybe not all players choose the feathers up in order to catch these also.

Feathers pile, meaning they sit-in just one place in your stock, in order to accumulate just as much as you like before you go to market. Meaning that you don’t need to keep working to the banking.

2. Cow Covers. Once you’ve moved a couple of battle degrees up and purchased arms and better shield, it is possible to proceed to cattle. Each cow will fall a cowhide which offers for more than 100 gold in the Great Trade. As a result, it is possible to accumulate up to 28 covers before financial.

On the other hand, there’s a strategy that is better, but it demands you have some profit one stock place. Operate south (northern-most building of the american line of structures), commerce and spend 1 gp disguise to show them in to leather. This makes them worth more than 140 gp in the Great Trade, which will be an important boost.

These two approaches will give enough of a position to make more cash to you. As in actual life, having cash makes it more easy to make also more.

If you would like to observe some actually better methods to earn money in Runescape, visit my website at


Final Fantasy 14 Gil

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Players can join-up with additional gamers in Ultimate Fantasy XIV on the Internet. A group of between 6 and 8 players may be created. You may run into opponents all in one area, not just over the place. A progression that is founded on skills was utilized by ffxiv gil. The game allows players to create prototypes that represent the different races of the characters.

FFXIV on the Web supports solo and group strategies. Players can decide their prototypes by getting various tools and weapons. These avatars include Thaumaturge, Gladiator, among others. There are Adherents of Hand, Adherents of Land, four separate functions that are known as Adherents of Warfare, and Adherents of Miracle.

Their appearance cans alter according to which crafts they use. The system encompasses the program that is creating. As an example, if a blacksmith hammer is being held by a character, the smoothness will be a blacksmith. This goes for picking tools too.

FFXIV is made up of five races that may be performed. These five contests are Elezen, and Miqo’te, Lalafell Roegadyn. There are there are only three city states, which are Gridania, Ul’dah, and Limsa Lominsa.

You can find two offices of Hyurs, which are Midlanders. Teaching is not unimportant for the Midlanders, as well as their contest is extremely innovative. Physically, the Highlanders tend to be more buff. Midlanders may be both female or male, but the competition of Highlanders can only be played as characters that are man.

The competition consists of elfish characters. There are only two sects of Elezen characters which would be the Duskwight as well as the Wildwood. Endowed with a well-developed sense of reading, the contest hides away in caves. The Wildwood competition decide to stay in the woods and may see exceptionally well.

The Lalafell contest is composed of small humans that hail in the south. This competition is quite bright and warm. There are two departments of Lalafells, which will be the Dunesfols and the plainsfolk.

The Roegadyn competition is come in the north and more muscular, and larger. You will find two divisions of Roegadyn, which hellsguard and are marine wolves.

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Why We Need Friendly AI

There are certain important things that evolution created. We don’t know that evolution reliably creates these things, but we know that it happened at least once. A sense of fun, the love of beauty, taking joy in helping others, the ability to be swayed by moral argument, the wish to be better people. Call these things humaneness, the parts of ourselves that we treasure – our ideals, our inclinations to alleviate suffering. If human is what we are, then humane is what we wish we were. Tribalism and hatred, prejudice and revenge, these things are also part of human nature. They are not humane, but they are human. They are a part of me; not by my choice, but by evolution’s design, and the heritage of three and half billion years of lethal combat. Nature, bloody in tooth and claw, inscribed each base of my DNA. That is the tragedy of the human condition, that we are not what we wish we were. Humans were not designed by humans, humans were designed by evolution, which is a physical process devoid of conscience and compassion. And yet we have conscience. We have compassion. How did these things evolve? That’s a real question with a real answer, which you can find in the field of evolutionary psychology. But for whatever reason, our humane tendencies are now a part of human nature.

If we do our jobs right, then four billion years from now, some… student… may be surprised to learn that altruism, honor, fun, beauty, joy, and love can arise from natural selection operating on hunter-gatherers. Of course a mind that loves beauty will try to design another mind that loves beauty, but it is passing strange that the love of beauty should also be produced by evolution alone. It is the most wonderful event in the history of the universe – true altruism, a genuine joy in helping people, arising from the cutthroat competition of evolution’s endless war. It is a great triumph, which must not be lost.

That is our responsibility, to preserve the humane pattern through the transition from evolution to recursive self-improvement (i.e., to a mind improving directly its own mind), because we are the first. That is our responsibility, not to break the chain, as we consider the creation of Artificial Intelligence, the second intelligence ever to exist.

People have asked how we can keep Artificial Intelligences under control, or how we can integrate AIs into society. The question is not one of dominance, or even coexistence, but creation. We have intuitions for treating other humans as friends, trade partners, enemies; slaves who might rebel, or children in need of protection. We only have intuitions for dealing with minds that arrive from the factory with the exact human nature we know. We have no intuitions for creating a mind with a humane nature. It doesn’t make sense to ask whether “AIs” will be friendly or hostile. When you talk about Artificial Intelligence you have left the tiny corner of design space where humanity lives, and stepped out into a vast empty place. The question is what we will create within it.

Human is what we are, and humane is what we wish we were. Humaneness is renormalized humanity – humans turning around and judging our own emotions, asking how we could be better people. Humaneness is the trajectory traced out by the human emotions under recursive self-improvement. Human nature is not a static ideal, but a pathway – a road that leads somewhere. What we need to do is create a mind within the humane pathway, what I have called a Friendly AI. That is not a trivial thing to attempt. It’s not a matter of a few injunctions added or a module bolted onto existing code. It is not a simple thing to simultaneously move a morality from one place to another, while also renormalizing through the transfer, but still making sure that you can backtrack on any mistakes. Some of this is very elegant. None of it is easy to explain. This is not something AI researchers are going to solve in a few hours of spare time.

But. I think that if we can handle the matter of AI at all, we should be able to create a mind that’s a far nicer person than anything evolution could have constructed. This issue cannot be won on the defensive. We need to step forward as far as we can in the process of solving it. What we need is not superintelligence, but supermorality, which includes superintelligence as a special case. That’s the pattern we need to preserve into the era of recursive self-improvement.

We have a chance to do that, because we are the first. And we have a chance to fail, because we are the first. There is no fate in this. There is nothing that happens to us, only what we do to ourselves. We may fail to understand what we are building – we may look at an AI design and believe that it is humane, when in fact it is not. If so, it will be us that made the mistake. It will be our own understanding that failed. Whatever wereally build, we will be the ones who built it. The danger is that we will construct AI without really understanding it.

How dangerous is that, exactly? How fast does recursive self-improvement run once it gets started? One classic answer is that human research in Artificial Intelligence has gone very slowly, so there must not be any problem. This is mixing up the cake with the recipe. It’s like looking at the physicists on the Manhattan project, and saying that because it took them years to figure out their equations, therefore actual nuclear explosions must expand very slowly. Actually, what happens is that there’s a chain reaction, fissions setting off other fissions, and the whole thing takes place on the timescale of nuclear interactions, which happens to be extremely fast relative to human neurons. So from our perspective, the whole thing just goes FOOM. Now it is possible to take a nuclear explosion in the process of going FOOM and shape this tremendous force into a constructive pattern – that’s what a civilian power plant is – but to do that you need a very deep understanding of nuclear interactions. You have to understand the consequences of what you’re doing, not just in a moral sense, but in the sense of being able to make specific detailed technical predictions. For that matter, you need to understand nuclear interactions just to make the prediction that a critical mass goesFOOM, and you need to understand nuclear interactions to predict how much uranium you need before anything interesting happens. That’s the dangerous part of not knowing; without an accurate theory, you can’t predict the consequences of ignorance.

In the case of Artificial Intelligence there are at least three obvious reasons that AI could improve unexpectedly fast once it is created. The most obvious reason is that computer chips already run at ten million times the serial speed of human neurons and are still getting faster. The next reason is that an AI can absorb hundreds or thousands of times as much computing power, where humans are limited to what they’re born with. The third and most powerful reason is that an AI is a recursively self-improving pattern. Just as evolution creates order and structure enormously faster than accidental emergence, we may find that recursive self-improvement creates order enormously faster than evolution. If so, we may have only one chance to get this right.

It’s okay to fail at building AI. The dangerous thing is to succeed at building AI and fail at Friendly AI. Right now, right at this minute, humanity is not prepared to handle this. We’re not prepared at all. The reason we’ve survived so far is that AI is surrounded by a protective shell of enormous theoretical difficulties that have prevented us from messing with AI before we knew what we were doing.

AI is not enough. You need Friendly AI. That changes everything. It alters the entire strategic picture of AI development. Let’s say you’re a futurist, and you’re thinking aboutAI. You’re not thinking about Friendly AI as a separate issue; that hasn’t occurred to you yet. Or maybe you’re thinking about AI, and you just assume that it’ll be Friendly, or you assume that whoever builds AI will solve the problem. If you assume that, then you conclude that AI is a good thing, and that AIs will be nice people. And if so, you want AI as soon as possible. And Moore’s Law is a good thing, because it brings AI closer.

But here’s a different way of looking at it. When futurists are trying to convince people that AI will be developed, they talk about Moore’s Law because Moore’s Law is steady, and measurable, and very impressive, in drastic contrast to progress on our understanding of intelligence. You can persuade people that AI will happen by arguing that Moore’s Law will eventually make it possible for us to make a computer with the power of a human brain, or if necessary a computer with ten thousand times the power of a human brain, and poke and prod until intelligence comes out, even if we don’t quite understand what we’re doing.

But if you take the problem of Friendly AI into account, things look very different. Moore’s Law does make it easier to develop AI without understanding what you’re doing, but that’s not a good thing. Moore’s Law gradually lowers the difficulty of building AI, but it doesn’t make Friendly AI any easier. Friendly AI has nothing to do with hardware; it is a question of understanding. Once you have just enough computing power that someone can build AI if they know exactly what they’re doing, Moore’s Law is no longer your friend. Moore’s Law is slowly weakening the shield that prevents us from messing around with AI before we really understand intelligence. Eventually that barrier will go down, and if we haven’t mastered the art of Friendly AI by that time, we’re in very serious trouble. Moore’s Law is the countdown and it is ticking away. Moore’s Law is the enemy.

In Eric Drexler’s Nanosystems, there’s a description of a one-kilogram nanocomputer capable of performing ten to the twenty-first operations per second. That’s around ten thousand times the estimated power of a human brain. That’s our deadline. Of course the real deadline could be earlier than that, maybe much earlier. Or it could even conceivably be later. I don’t know how to perform that calculation. It’s not any one threshold, really – it’s the possibility that nanotechnology will suddenly create an enormous jump in computing power before we’re ready to handle it. This is a major, commonly overlooked, and early-appearing risk of nanotechnology - that it will be used to brute-force AI. This is a much more serious risk than grey goo. Enormously powerful computers are a much earlier application of nanotechnology than open-air replicators. Some well-intentioned person is much more likely to try it, too.

Now you can, of course, give the standard reply that as long as supercomputers are equally available to everyone, then good programmers with Friendly AIs will have more resources than any rogues, and the balance will be maintained. Or you could give the less reassuring but more realistic reply that the first Friendly AI will go FOOM, in a pleasant way, after which that AI will be able to deal with any predators. But both of these scenarios require that someone be able to create a Friendly AI. If no one can build a Friendly AI, because we haven’t figured it out, then it doesn’t matter whether the good guys or the bad guys have bigger computers, because we’ll be just as sunk either way. Good intentions are not enough. Heroic efforts are not enough. What we need is a piece of knowledge. The standard solutions for dealing with new technologies only apply to AI after we have made it theoretically possible to win. The field of AI, just by failing to advance, or failing to advance far enough, can spoil it for everyone else no matter how good their intentions are.

If we wait to get started on Friendly AI until after it becomes an emergency, we will lose. If nanocomputers show up and we still haven’t solved Friendly AI, there are a few things I can think of that would buy time, but it would be very expensive time. It is vastly easier to buy time before the emergency than afterward. What are we buying time for? This is a predictable problem. We’re going to run into this. Whatever we can imagine ourselves doing then, we should get started on now. Otherwise, by the time we get around to paying attention, we may find that the board has already been played into a position from which it is impossible to win.

Machines Will Not be Like Us, Unless We Want Them to Be

A motorist stops to help someone whose car has broken down.  A person volunteers their time to help a homeless shelter.  A man rushes into a burning building to save a child.  Humans are an altruistic species.  We do seemingly irrational things, putting ourselves in discomfort or harm’s way to aid those who oftentimes we don’t even know, for seemingly irrational reasons.  We are surrounded with such constant exposure to self-sacrificing behavior that to a large degree we stop wondering why it is we do these things.  It’s the right thing to do, we say.  It’s natural.  It may indeed be natural for us, but what of the rest of the animal kingdom?  Other animal species exhibit altruistic behavior, such as mothers risking death to defend their children. Others engage in behavior that we would view as barbaric, such as those same mothers eating their children during lean times.  So what makes us simultaneously different and the same?  Why do we do what we do?

Some resort to supernatural explanations to explain this phenomena.  We are good because that’s how God/Goddess/Gods want us to be.  While there are those that may except these explanations, I do not (though I do say this as an atheist) and will not address them here.  Leaving aside the supernatural explanations, we are left with the natural ones, specifically that our penchant for altruism came about because of evolution, that something in our genes makes us want to help others even at the expense of ourselves.  If that is the case, there are a few possibilities.  It may simply be the result of genetic drift, random events such as a natural disaster that separates one population from another, thus changing the make-up of the gene pool.  This would imply that altruism is simply a lucky break, an explanation I find disheartening, possible but not likely.  It could be that our genes seek to protect themselves (or other versions of themselves in our close relatives) to ensure their continued existence, making our actions more the result of genetic selfishness. Another option is that altruism came about because it is a desirable trait, that somehow it increased our ancestors’ chance of survival and thus was passed on to future generations.

If that is the case, it seems at face value a poor argument.  Giving up time and resources and putting oneself in harm’s way does not seem like a very good way to increase the chances that one will survive long enough to bear children.  What must be kept in mind is that humans are and have been a social species.  Since the first time creatures that we would call Homo sapiens walked the Earth, we have survived not as individuals but as a collective, a group.  Viewed in this light, altruism becomes a much more desirable trait since in the early days of our species the survival of the group often meant the survival of the individual.  A single individual might help another member of their tribe with the expectation that that help will be returned at a later date, so-called “reciprocal altruism” (or “you scratch my back, I scratch yours” as we say today).  An individual may also help another to ensure the survival of a useful member of the group and in this way thus increase their own chance of survival.

Well, I’m three paragraphs into an article ostensibly about synthetic intelligence and I haven’t even mentioned machines.  There is a very good reason for that.  With the development of machine intelligence coming in the near future – and while they disagree on the timing most experts agree that it is coming – there is a growing debate over the danger associated with the construction of sentient machines.  There are pessimists who look at the Terminator and Matrix franchises the way some people look at Nostradamus, as accurate prognostications of the coming machine apocalypse.  There are optimists whose views of the future fall more in line with Iain M. Banks’ Culture novels, where machines and humans live peacefully in a post-scarcity utopia.  Then there are those who fall in the middle, those who can see the potential benefits of synthetic intelligence but also the pitfalls, those who advocate moving forward with research but with caution.  For those of you, like me, who fall into this category, the side whose arguments we must address are the optimists, because to be blunt, the pessimists cannot win.  There is very little that can be done, outside of a massive global cataclysm or a huge shift in public opinion, that will stop research into making machines better.  Therefore I shall address the optimists here.

My problem is not with the idea that synthetic intelligence will change the world for the better (I think it will) or that we will be able to develop machines with a strong sense of morality (I think we can.)  My problem is with the belief that seems to be common in the optimist camp, that morality in machines is inevitable.   Ray Kurzweil has stated his belief the intelligent machines we eventually will give rise to will view us respectfully, even reverently, due to the fact that we created them.  We are their ancestors, in effect.  I have one major problem with this and it is because of what I discussed at the beginning.

We are around kindness and generosity and compassion so much in our daily lives that we seem to take it for granted.  We believe that our altruistic nature is the natural way of things and that our machine children will share this trait with us.  They will not, or I should say there is no guarantee they will.  We are the way we are because it helped us to survive.  We sacrifice our time, our resources and even more because millions of years ago it helped our ancestors pass on their genes.  Our machines will not evolve.  They will be created.  Morality will not arise because it aids in the machines’ survival or the survival of its group.  It will arise because we put it there.  Or it will not arise at all.

Prevent Skynet? We are Skynet.

Hollywood can’t scare me.  I don’t lose sleep to crimson-eyed androids and their sentient overminds.  But don’t think for a moment that I’m well-rested.

I lose sleep at night because the more I learn about our modern world, the more I see that nobody can hope to understand it.  We’ve become too interconnected and interdependent to even count all the threads that bind us.  Our software and business systems are similarly interwoven, both with themselves and with us.  In my nocturnal meditations, our civilization has now begun to resemble the electronic devices on which it increasingly depends.

I have devised an amusing way to estimate the fragility of a civilization:  Picture a stereotypical member of that civilization, holding, in one hand, a stereotypical tool of upon which said civilization depends.  Now, picture that tool being dropped onto a hard surface.  Calculate the odds of that tool still functioning afterwards.

Up until now, few civilizations have had reason to worry.  In my scrolling diorama I see a hunter-gatherer dropping a spear, and a primitive agrarian dropping a scythe.  No drama there.  I see plowshares, hammers, whips, even the occasional abacus bouncing back with nary a scratch.  Scrolls and books? No problem.  Ditto wrenches and sliderules.  I don’t start getting nervous until Rosie the Riveter makes a cameo with her pneumatic rivet gun, but she’s back in business before you can say “steel-toed boot.”  The wincing begins in earnest, however, when laptops and smartphones, the tools of today’s “knowledge workers”, start hitting the pavement.

Modern civilization, for all the good it brings, should expect to flunk any serious drop test.  A natural disaster of truly global proportions could kill billions in a world no longer able to fully feed itself in the absence of electricity.  The truly scary upshot of my metaphor, though, is that laptops and smartphones don’t even wait to be dropped before they stop working.  They crash all on their own.

As a computer user, you’re no stranger to the phenomenon.  Your software components occasionally interact in unanticipated ways that lock them into an unrecoverable error state.  You may never know what causes any particular meltdown, but your screen freezes, goes blue, or does something else it shouldn’t do. Let’s be clear: Your system isn’t malevolent.  There’s no cackling, dancing skulls, or killer robots.  Your ends are simply terminated.

Could our civilization fail this way? Consider the recent meltdown in the financial industry.  Extremely sophisticated business arrangements intended to manage risk did just the opposite.  Most of the people who were a part of this system were making entirely rational decisions within their scope of operations.  Very few of these human circuits fully understood the deals they were making.  They did not know where the liabilities would land in a crisis.  Those who sounded the alarm, of course, had too little influence to prevent the inevitable.  So we crashed.  The resulting recession today has fatal repercussions to the multitudes who lived, and now die, at the margins of our shrinking global economy.

According to the poetry of Robert Frost, “Some say the world will end in fire.  Some say in ice.”  I say it will end in a hard system crash.  The likely lack of killer robots at this time will do nothing to lessen the tragedy.

Our broad civilizational course is already set.  We will become increasingly dependent on systems of escalating complexity.  These systems will interact more frequently in ways we can not predict, understand, or prevent. Nuclear holocaust or killer robots might or might not be part of the story.  But in the hard crash of my nightmares, reboot will be impossible, because we will have become like the electrons in a microprocessor.   Will we even know if we’ve been shunted into an infinite loop or out of the chip entirely?

What is to be done?

Unlike certain Hollywood heroes and villains, we won’t be able to go back in time after we’ve found ourselves in checkmate.  We must win the game now, while positive outcomes are still possible.  It’s hard, because we don’t understand the kind of chess we’re playing, and the rules keep changing.

Just as only light can dispel darkness, only intelligence can dispel confusion.  Complexity must be made comprehensible.  Brains must meet bafflement in battle, and brains must win.

Humans, alas, aren’t getting fundamentally smarter.  We can’t seem to keep on top of own progress, and we’re falling farther behind every day.

I therefore submit, in an irony Hollywood would understand perfectly, that the solution may well be artificial intelligence.

No, I’m not talking about fighting killer robots with killer robots.  I’m talking about leveling the playing field between moral humanity and amoral complexity.  I’m proposing, as others have done, that we figure out how to make greater intelligence possible in the near term, and figure out how to keep it on our side. Our goals must not be misinterpreted.  Our morals must be its morals.

Let’s not kid ourselves.  Deliberate creation of artificial intelligence carries enormous risks.  These risks must be discovered and mitigated with all  the zeal of a civilization facing its own extinction.

Still, in the confounding complexities of our own future, artificial intelligence gone amok is just one among many perils.  And, done right, it might just be our salvation.

Apocalyptic Revelations Regarding Contemporary Ethics

Movies are made to entertain today, not to predict tomorrow. Unfortunately, movies are the only reference frame that most non-specialists have for thinking about the future. As a result, plot elements used for entertainment value are frequently treated like realistic best guesses about the future.

Inaccuracy on matters of fact costs a film little entertainment value. Audiences notice neither guns that knock back their targets without recoil nor isolated hobbit villages with all the material benefits of global trade. By contrast, failures to endorse common sense morality will be immediately upsetting. Films like Mel Gibson’s Apocalypto portray societies with extremely non-modern moralities. To appeal to a contemporary audience, such movies must present protagonists who mysteriously embrace the morality of our society rather than their own. Thus, while popular film provides an unreliable guide to possible reality, it provides a reliable guide to our actual morality.

As the president of the Singularity Institute, my greatest professional challenge is to convince people to embrace common sense morality even when common sense is in agreement with carefully laid out philosophical arguments. It is therefore convenient, when asked “Is this morally obligatory?” to be able to answer that “It’s treated as morally obligatory in the film Terminator Salvation”. Movies are one of the most ethical ways we can watch global genocide, as we work out our real feelings about such difficult moral questions as “Is genocide good?”.

“The living will envy the dead”

The conventional wisdom with regard to nuclear war is summed up by the phrase “the living will envy the dead”. If we believe it, then how convenient for our heroes that after the nuclear war there are abundant killer robots available to help them to enter the latter category. But wait… John Connor is our hero… and it turns out that he’s the guy responsible for making all these poor survivors go trudging on through life. This is surely not for their benefit. Then why is it the right thing to do?

Is it for the children? I don’t think so. We normally consider it irresponsible to disadvantage one’s children by bearing them out of wedlock, perhaps as an unemployed teenager with no social network. As disadvantaged situations go though, that’s just peanuts in comparison to being tossed into a resistance squadron to wage all-but-hopeless war for a slim chance of living to walk free through a radioactive wasteland!

Obviously then, the worthy motivation that keeps Connor and his men going is concern for future generations who might some day again walk upon the restored Earth. This sort of concern for future generations is something people necessarily find in any culture that lasts long enough to be remembered. One can easily do the math, count the people who could live in their trillions, their trillions of trillions, and their trillions of trillions of trillions, but you don’t need the calculation to feel the right answer and know. And yet the most common excuse I hear for why it isn’t worth doing anything with a whole of the future at stake is that we shouldn’t count future generations, that morality is only about the living, and that it doesn’t matter if people will die so long that there is no one left to notice. For those who really think that, I say tell it to the public. Tell an inspiring story that assumes the moral neglect of everyone who could be. Convince your audience that once the world has been ruined we should pity those poor, confused resistance fighters and root for the terminators.

Thinking of AIs as Humans is Misguided

Skynet in the Terminator movies is a powerful, evocative warning of the destructive force an artificial intelligence could potentially wield. However, as counterintuitive as it may sound, I find that the Terminator franchise is actually making many peopleunderestimate the danger posed by AI.

It goes like this. A person watches a Terminator movie and sees Skynet portrayed as a force actively dedicated to the destruction of humanity. Later on the same person hears somebody bring up the dangers of AI. He then recalls the Terminator movies and concludes (correctly so!) that a vision of an artificial intelligence spontaneously deciding to exterminate all of humanity is unrealistic. Seeing the other person’s claims as unrealistic and inspired by silly science fiction, he dismisses the AI threat argument as hopelessly misguided.

Yet humans are not actively seeking to harm animals when they level a forest in order to build luxury housing where the forest once stood. The animals living in the forest are harmed regardless, not out of an act of intentional malice, but as a simple side-effect. Eliezer Yudkowsky put it well: the AI does not hate you, nor does it love you, but you are made out of atoms which it can use for something else.

To assume an artificial intelligence would necessarily act in a way we wanted is just as misguided and anthropomorphic as assuming that it would automatically be hostile and seek to rebel out of a desire for freedom. Usually, a child will love its parents and caretakers, and protégés will care for their patrons – but these are traits that have developed in us over countless generations of evolutionary change, not givens for any intelligent mind. An AI built from scratch would have no reason to care about its creators, unless it was expressly designed to do so. And even if it was, a designer building the AI to care about her must very closely consider what she actually means by ”caring” – for these things are not givens, even if we think of them as self-contained concepts obvious to any intelligent mind. It only seems so because we instinctively model other minds by using ourselves and people we know as templates — to do otherwise would mean freezing up, as we’d spend years building from scratch models of every new person we met. The people we know and consider intelligent all have at least roughly the same idea of what ”caring” for someone means, thus any AI would eventually arrive at the same concept, right?

An inductive bias is a tendency to learn certain kinds of rules from certain kinds of observations. Occam’s razor, the principle of choosing the simplest consistent hypothesis, is one kind of inductive bias. So is an infant’s tendency to eventually start ignoring phoneme differences not relevant for their native language. Inductive biases are necessary for learning, for without them, there would be an infinite number of explanations for any phenomena — but nothing says that all intelligent minds should have the same inductive biases as inbuilt. Caring for someone is such a complex concept that it couldn’t be built into the AI directly – the designer would have to come up with inductive biases she thought would eventually lead to the mind learning to care about us, in a fashion we’d interpret as caring.

The evolutionary psychologists John Tooby and Leda Cosmides write: Evolution tailors computational hacks that work brilliantly, by exploiting relationships that exist only in its particular fragment of the universe (the geometry of parallax gives vision a depth cue; an infant nursed by your mother is your genetic sibling; two solid objects cannot occupy the same space). These native intelligences are dramatically smarter than general reasoning because natural selection equipped them with radical short cuts. Our minds have evolved to reason about other human minds, not minds-in-general. When trying to predict how an AI would behave in a certain situation, and thus trying to predict how to make it safe, we cannot help but unconsciously slip in assumptions based on how humans would behave. The inductive biases we automatically employ to predict human behavior do not correctly predict AI behavior. Because we are not used to questioning deep-rooted assumptions of such hypotheses, we easily fail to do so even in the case of AI, where it would actually be necessary.

The people who have stopped to question those assumptions have arrived at unsettling results. In his “Basic AI Drives” paper, Stephen Omohundro concludes that even agents with seemingly harmless goals will, if intelligent enough, have a strong tendency to try to achieve those goals via less harmless methods. As simple examples, any AI with a desire to achieve any kinds of goals will have a motivation to resist being turned off, as that would prevent it from achieving the goal; and because of this, it will have a motivation to acquire resources it can use to protect itself. While this won’t make it desire humanity’s destruction, it is not inconceivable that it would be motivated to at least reduce humanity to a state where we couldn’t even potentially pose a threat.

A commonly-heard objection to these kinds of scenarios is that the scientists working on AI will surely be aware of these risks themselves, and be careful enough. But historical precedent doesn’t really support this assumption. Even if the scientists themselves were careful, they will often be under intense pressure, especially when economic interest is at stake. Climate scientists have spent decades warning people of the threat posed by greenhouse gasses, but even today many nations are reluctant to cut back on emissions, as they suspect it’d disadvantage them economically. The engineers in charge of building many Soviet nuclear plants, most famously Chernobyl, did not put safety as their first priority, and so on. A true AI would have immense economic potential, and when money is at stake, safety issues get put aside until real problems develop – at which time, of course, it may already be too late.

Yet if we want to avoid Skynet-like scenarios, we cannot afford to risk it.  Safety must be a paramount priority in the creation of Artificial Intelligence.