paperclipper

Everyone includes your mother and Los Angeles

PNRJ cognitive science, computer science, core principles, current events, ethics, futurism, heuristics and biases, politics, public policy , , , , , ,

Apr 28 JDN 2460430

What are the chances that artificial intelligence will destroy human civilization?

A bunch of experts were surveyed on that question and similar questions, and half of respondents gave a probability of 5% or more; some gave probabilities as high as 99%.

This is incredibly bizarre.

Most AI experts are people who work in AI. They are actively participating in developing this technology. And yet more than half of them think that the technology they are working on right now has a more than 5% chance of destroying human civilization!?

It feels to me like they honestly don’t understand what they’re saying. They can’t really grasp at an intuitive level just what a 5% or 10% chance of global annihilation means—let alone a 99% chance.

If something has a 5% chance of killing everyone, we should consider that at least as bad asthan something that is guaranteed to kill 5% of people.

Probably worse, in fact, because you can recover from losing 5% of the population (we have, several times throughout history). But you cannot recover from losing everyone. So really, it’s like losing 5% of all future people who will ever live—which could be a very large number indeed.

But let’s be a little conservative here, and just count people who already, currently exist, and use 5% of that number.

5% of 8 billion people is 400 million people.

So anyone who is working on AI and also says that AI has a 5% chance of causing human extinction is basically saying: “In expectation, I’m supporting 20 Holocausts.”

If you really think the odds are that high, why aren’t you demanding that any work on AI be tried as a crime against humanity? Why aren’t you out there throwing Molotov cocktails at data centers?

(To be fair, Eliezer Yudkowsky is actually calling for a global ban on AI that would be enforced by military action. That’s the kind of thing you should be doing if indeed you believe the odds are that high. But most AI doomsayers don’t call for such drastic measures, and many of them even continue working in AI as if nothing is wrong.)

I think this must be scope neglect—or something even worse.

If you thought a drug had a 99% chance of killing your mother, you would never let her take the drug, and you would probably sue the company for making it.

If you thought a technology had a 99% chance of destroying Los Angeles, you would never even consider working on that technology, and you would want that technology immediately and permanently banned.

So I would like to remind anyone who says they believe the danger is this great and yet continues working in the industry:

Everyone includes your mother and Los Angeles.

If AI destroys human civilization, that means AI destroys Los Angeles. However shocked and horrified you would be if a nuclear weapon were detonated in the middle of Hollywood, you should be at least that shocked and horrified by anyone working on advancing AI, if indeed you truly believe that there is at least a 5% chance of AI destroying human civilization.

But people just don’t seem to think this way. Their minds seem to take on a totally different attitude toward “everyone” than they would take toward any particular person or even any particular city. The notion of total human annihilation is just so remote, so abstract, they can’t even be afraid of it the way they are afraid of losing their loved ones.

This despite the fact that everyone includes all your loved ones.

If a drug had a 5% chance of killing your mother, you might let her take it—but only if that drug was the best way to treat some very serious disease. Chemotherapy can be about that risky—but you don’t go on chemo unless you have cancer.

If a technology had a 5% chance of destroying Los Angeles, I’m honestly having trouble thinking of scenarios in which we would be willing to take that risk. But the closest I can come to it is the Manhattan Project. If you’re currently fighting a global war against fascist imperialists, and they are also working on making an atomic bomb, then being the first to make an atomic bomb may in fact be the best option, even if you know that it carries a serious risk of utter catastrophe.

In any case, I think one thing is clear: You don’t take that kind of serious risk unless there is some very large benefit. You don’t take chemotherapy on a whim. You don’t invent atomic bombs just out of curiosity.

Where’s the huge benefit of AI that would justify taking such a huge risk?

Some forms of automation are clearly beneficial, but so far AI per se seems to have largely made our society worse. ChatGPT lies to us. Robocalls inundate us. Deepfakes endanger journalism. What’s the upside here? It makes a ton of money for tech companies, I guess?

Now, fortunately, I think 5% is too high an estimate.

(Scientific American agrees.)

My own estimate is that, over the next two centuries, there is about a 1% chance that AI destroys human civilization, and only a 0.1% chance that it results in human extinction.

This is still really high.

People seem to have trouble with that too.

“Oh, there’s a 99.9% chance we won’t all die; everything is fine, then?” No. There are plenty of other scenarios that would also be very bad, and a total extinction scenario is so terrible that even a 0.1% chance is not something we can simply ignore.

0.1% of people is still 8 million people.

I find myself in a very odd position: On the one hand, I think the probabilities that doomsayers are giving are far too high. On the other hand, I think the actions that are being taken—even by those same doomsayers—are far too small.

Most of them don’t seem to consider a 5% chance to be worthy of drastic action, while I consider a 0.1% chance to be well worthy of it. I would support a complete ban on all AI research immediately, just from that 0.1%.

The only research we should be doing that is in any way related to AI should involve how to make AI safer—absolutely no one should be trying to make it more powerful or apply it to make money. (Yet in reality, almost the opposite is the case.)

Because 8 million people is still a lot of people.

Is it fair to treat a 0.1% chance of killing everyone as equivalent to killing 0.1% of people?

Well, first of all, we have to consider the uncertainty. The difference between a 0.05% chance and a 0.015% chance is millions of people, but there’s probably no way we can actually measure it that precisely.

But it seems to me that something expected to kill between 4 million and 12 million people would still generally be considered very bad.

More importantly, there’s also a chance that AI will save people, or have similarly large benefits. We need to factor that in as well. Something that will kill 4-12 million people but also save 15-30 million people is probably still worth doing (but we should also be trying to find ways to minimize the harm and maximize the benefit).

The biggest problem is that we are deeply uncertain about both the upsides and the downsides. There are a vast number of possible outcomes from inventing AI. Many of those outcomes are relatively mundane; some are moderately good, others are moderately bad. But the moral question seems to be dominated by the big outcomes: With some small but non-negligible probability, AI could lead to either a utopian future or an utter disaster.

The way we are leaping directly into applying AI without even being anywhere close to understanding AI seems to me especially likely to lean toward disaster. No other technology has ever become so immediately widespread while also being so poorly understood.

So far, I’ve yet to see any convincing arguments that the benefits of AI are anywhere near large enough to justify this kind of existential risk. In the near term, AI really only promises economic disruption that will largely be harmful. Maybe one day AI could lead us into a glorious utopia of automated luxury communism, but we really have no way of knowing that will happen—and it seems pretty clear that Google is not going to do that.

Artificial intelligence technology is moving too fast. Even if it doesn’t become powerful enough to threaten our survival for another 50 years (which I suspect it won’t), if we continue on our current path of “make money now, ask questions never”, it’s still not clear that we would actually understand it well enough to protect ourselves by then—and in the meantime it is already causing us significant harm for little apparent benefit.

Why are we even doing this? Why does halting AI research feel like stopping a freight train?

I dare say it’s because we have handed over so much power to corporations.

The paperclippers are already here.

Optimization is unstable. Maybe that’s why we satisfice.

PNRJ cognitive science, core principles, critique of neoclassical economics, ethics, heuristics and biases , , , , , , ,

Feb 26 JDN 2460002

Imagine you have become stranded on a deserted island. You need to find shelter, food, and water, and then perhaps you can start working on a way to get help or escape the island.

Suppose you are programmed to be an optimizer—to get the absolute best solution to any problem. At first this may seem to be a boon: You’ll build the best shelter, find the best food, get the best water, find the best way off the island.

But you’ll also expend an enormous amount of effort trying to make it the best. You could spend hours just trying to decide what the best possible shelter would be. You could pass up dozens of viable food sources because you aren’t sure that any of them are the best. And you’ll never get any rest because you’re constantly trying to improve everything.

In principle your optimization could include that: The cost of thinking too hard or searching too long could be one of the things you are optimizing over. But in practice, this sort of bounded optimization is often remarkably intractable.

And what if you forgot about something? You were so busy optimizing your shelter you forgot to treat your wounds. You were so busy seeking out the perfect food source that you didn’t realize you’d been bitten by a venomous snake.

This is not the way to survive. You don’t want to be an optimizer.

No, the person who survives is a satisficer—they make sure that what they have is good enough and then they move on to the next thing. Their shelter is lopsided and ugly. Their food is tasteless and bland. Their water is hard. But they have them.

Once they have shelter and food and water, they will have time and energy to do other things. They will notice the snakebite. They will treat the wound. Once all their needs are met, they will get enough rest.

Empirically, humans are satisficers. We seem to be happier because of it—in fact, the people who are the happiest satisfice the most. And really this shouldn’t be so surprising: Because our ancestral environment wasn’t so different from being stranded on a desert island.

Good enough is perfect. Perfect is bad.

Let’s consider another example. Suppose that you have created a powerful artificial intelligence, an AGI with the capacity to surpass human reasoning. (It hasn’t happened yet—but it probably will someday, and maybe sooner than most people think.)

What do you want that AI’s goals to be?

Okay, ideally maybe they would be something like “Maximize goodness”, where we actually somehow include all the panoply of different factors that go into goodness, like beneficence, harm, fairness, justice, kindness, honesty, and autonomy. Do you have any idea how to do that? Do you even know what your own full moral framework looks like at that level of detail?

Far more likely, the goals you program into the AGI will be much simpler than that. You’ll have something you want it to accomplish, and you’ll tell it to do that well.

Let’s make this concrete and say that you own a paperclip company. You want to make more profits by selling paperclips.

First of all, let me note that this is not an unreasonable thing for you to want. It is not an inherently evil goal for one to have. The world needs paperclips, and it’s perfectly reasonable for you to want to make a profit selling them.

But it’s also not a true ultimate goal: There are a lot of other things that matter in life besides profits and paperclips. Anyone who isn’t a complete psychopath will realize that.

But the AI won’t. Not unless you tell it to. And so if we tell it to optimize, we would need to actually include in its optimization all of the things we genuinely care about—not missing a single one—or else whatever choices it makes are probably not going to be the ones we want. Oops, we forgot to say we need clean air, and now we’re all suffocating. Oops, we forgot to say that puppies don’t like to be melted down into plastic.

The simplest cases to consider are obviously horrific: Tell it to maximize the number of paperclips produced, and it starts tearing the world apart to convert everything to paperclips. (This is the original “paperclipper” concept from Less Wrong.) Tell it to maximize the amount of money you make, and it seizes control of all the world’s central banks and starts printing $9 quintillion for itself. (Why that amount? I’m assuming it uses 64-bit signed integers, and 2^63 is over 9 quintillion. If it uses long ints, we’re even more doomed.) No, inflation-adjusting won’t fix that; even hyperinflation typically still results in more real seigniorage for the central banks doing the printing (which is, you know, why they do it). The AI won’t ever be able to own more than all the world’s real GDP—but it will be able to own that if it prints enough and we can’t stop it.

But even if we try to come up with some more sophisticated optimization for it to perform (what I’m really talking about here is specifying its utility function), it becomes vital for us to include everything we genuinely care about: Anything we forget to include will be treated as a resource to be consumed in the service of maximizing everything else.

Consider instead what would happen if we programmed the AI to satisfice. The goal would be something like, “Produce at least 400,000 paperclips at a price of at most $0.002 per paperclip.”

Given such an instruction, in all likelihood, it would in fact produce exactly 400,000 paperclips at a price of exactly $0.002 per paperclip. And maybe that’s not strictly the best outcome for your company. But if it’s better than what you were previously doing, it will still increase your profits.

Moreover, such an instruction is far less likely to result in the end of the world.

If the AI has a particular target to meet for its production quota and price limit, the first thing it would probably try is to use your existing machinery. If that’s not good enough, it might start trying to modify the machinery, or acquire new machines, or develop its own techniques for making paperclips. But there are quite strict limits on how creative it is likely to be—because there are quite strict limits on how creative it needs to be. If you were previously producing 200,000 paperclips at $0.004 per paperclip, all it needs to do is double production and halve the cost. That’s a very standard sort of industrial innovation— in computing hardware (admittedly an extreme case), we do this sort of thing every couple of years.

It certainly won’t tear the world apart making paperclips—at most it’ll tear apart enough of the world to make 400,000 paperclips, which is a pretty small chunk of the world, because paperclips aren’t that big. A paperclip weighs about a gram, so you’ve only destroyed about 400 kilos of stuff. (You might even survive the lawsuits!)

Are you leaving money on the table relative to the optimization scenario? Eh, maybe. One, it’s a small price to pay for not ending the world. But two, if 400,000 at $0.002 was too easy, next time try 600,000 at $0.001. Over time, you can gently increase its quotas and tighten its price requirements until your company becomes more and more successful—all without risking the AI going completely rogue and doing something insane and destructive.

Of course this is no guarantee of safety—and I absolutely want us to use every safeguard we possibly can when it comes to advanced AGI. But the simple change from optimizing to satisficing seems to solve the most severe problems immediately and reliably, at very little cost.

Good enough is perfect; perfect is bad.

I see broader implications here for behavioral economics. When all of our models are based on optimization, but human beings overwhelmingly seem to satisfice, maybe it’s time to stop assuming that the models are right and the humans are wrong.

Optimization is perfect if it works—and awful if it doesn’t. Satisficing is always pretty good. Optimization is unstable, while satisficing is robust.

In the real world, that probably means that satisficing is better.

Good enough is perfect; perfect is bad.

The paperclippers are already here

PNRJ core principles, critique of neoclassical economics, futurism, inequality, market failure, public policy , , , , , ,

Jan 24 JDN 2459239

Imagine a powerful artificial intelligence, which is comprised of many parts distributed over a vast area so that it has no particular location. It is incapable of feeling any emotion: Neither love nor hate, neither joy nor sorrow, neither hope nor fear. It has no concept of ethics or morals, only its own programmed directives. It has one singular purpose, which it seeks out at any cost. Any who aid its purpose are generously rewarded. Any who resist its purpose are mercilessly crushed.

The Less Wrong community has come to refer to such artificial intelligences as “paperclippers”; the metonymous singular directive is to maximize the number of paperclips produced. There’s even an online clicker game where you can play as one called “Universal Paperclips“. The concern is that we might one day invent such artificial intelligences, and they could get out of control. The paperclippers won’t kill us because they hate us, but simply because we can be used to make more paperclips. This is a far more plausible scenario for the “AI apocalypse” than the more conventional sci-fi version where AIs try to kill us on purpose.

But I would say that the paperclippers are already here. Slow, analog versions perhaps. But they are already getting out of control. We call them corporations.

A corporation is probably not what you visualized when you read the first paragraph of this post, so try reading it again. Which parts are not true of corporations?

Perhaps you think a corporation is not an artificial intelligence? But clearly it’s artificial, and doesn’t it behave in ways that seem intelligent? A corporation has purpose beyond its employees in much the same way that a hive has purpose beyond its bees. A corporation is a human superorganism (and not the only kind either).

Corporations are absolutely, utterly amoral. Their sole directive is to maximize profit. Now, you might think that an individual CEO, or a board of directors, could decide to do something good, or refrain from something evil, for reasons other than profit; and to some extent this is true. But particularly when a corporation is publicly-traded, that CEO and those directors are beholden to shareholders. If shareholders see that the corporation is acting in ways that benefit the community but hurt their own profits, shareholders can rebel by selling their shares or even suing the company. In 1919, Dodge successfully sued Ford for the “crime” of setting wages too high and prices too low.

Humans are altruistic. We are capable of feeling, emotion, and compassion. Corporations are not. Corporations are made of human beings, but they are specifically structured to minimize the autonomy of human choices. They are designed to provide strong incentives to behave in a particular way so as to maximize profit. Even the CEO of a corporation, especially one that is publicly traded, has their hands tied most of the time by the desires of millions of shareholders and customers—so-called “market forces”. Corporations are entirely the result of human actions, but they feel like impersonal forces because they are the result of millions of independent choices, almost impossible to coordinate; so one individual has very little power to change the outcome.

Why would we create such entities? It almost feels as though we were conquered by some alien force that sought to enslave us to its own purposes. But no, we created corporations ourselves. We intentionally set up institutions designed to limit our own autonomy in the name of maximizing profit.

Part of the answer is efficiency: There are genuine gains in economic efficiency due to the corporate structure. Corporations can coordinate complex activity on a vast scale, with thousands or even millions of employees each doing what they are assigned without ever knowing—or needing to know—the whole of which they are a part.

But a publicly-traded corporation is far from the only way to do that. Even for-profit businesses are not the only way to organize production. And empirically, worker co-ops actually seem to be about as productive as corporations, while producing far less inequality and far more satisfied employees.

Thus, in order to explain the primacy of corporations, particularly those that are traded on stock markets, we must turn to ideology: The extreme “laissez- faire“ concept of capitalism and its modern expression in the ideology of “shareholder value”. Somewhere along the way enough people—or at least enough policymakers—became convinced that the best way to run an economy was to hand over as much as possible to entities that exist entirely to maximize their own profits.

This is not to say that corporations should be abolished entirely. I am certainly not advocating a shift to central planning; I believe in private enterprise. But I should note that private enterprise can also include co-ops, partnerships, and closely-held businesses, rather than publicly traded corproations, and perhaps that’s all we need. Yet there do seem to be significant advantages to the corporate structure: Corporation seem to be spectacularly good at scaling up the production of goods and providing them to a large number of customers. So let’s not get rid of corporations just yet.

Instead, let us keep corporations on a short leash. When properly regulated, corporations can be very efficient at producing goods. But corporations can also cause tremendous damage when given the opportunity. Regulations aren’t just “red tape” that gets in the way of production. They are a vital lifeline that protects us against countless abuses that corporations would otherwise commit.

These vast artificial intelligences are useful to us, so let’s not get rid of them. But never for a moment imagine that their goals are the same as ours. Keep them under close watch at all times, and compel them to use their great powers for good—for, left to their own devices, they can just as easily do great evil.