Pablo Stafforini
Goodreads Author
Born
Buenos Aires, Argentina
Website
Genre
Influences
Member Since
June 2009
URL
https://www.goodreads.com/stafforini
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Sobre la libertad
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published
1859
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11 editions
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Ensayo sobre el gobierno civil
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published
1689
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3 editions
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* Note: these are all the books on Goodreads for this author. To add more, click here.
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Stetson's review
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Furious Minds: The Making of the MAGA New Right:
"This is perhaps the most serious and honest attempt by an academic to provide a taxonomy of the intellectual currents of the "New Right." It is specifically concerned with intellectuals and how ideas have developed in the before and during the rise o"
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“Create all the happiness you are able to create; remove all the misery you are able to remove. Every day will allow you, --will invite you to add something to the pleasure of others, --or to diminish something of their pains.”
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“Consider an AI that has hedonism as its final goal, and which would therefore like to tile the universe with “hedonium” (matter organized in a configuration that is optimal for the generation of pleasurable experience). To this end, the AI might produce computronium (matter organized in a configuration that is optimal for computation) and use it to implement digital minds in states of euphoria. In order to maximize efficiency, the AI omits from the implementation any mental faculties that are not essential for the experience of pleasure, and exploits any computational shortcuts that according to its definition of pleasure do not vitiate the generation of pleasure. For instance, the AI might confine its simulation to reward circuitry, eliding faculties such as a memory, sensory perception, executive function, and language; it might simulate minds at a relatively coarse-grained level of functionality, omitting lower-level neuronal processes; it might replace commonly repeated computations with calls to a lookup table; or it might put in place some arrangement whereby multiple minds would share most parts of their underlying computational machinery (their “supervenience bases” in philosophical parlance). Such tricks could greatly increase the quantity of pleasure producible with a given amount of resources.”
― Superintelligence: Paths, Dangers, Strategies
― Superintelligence: Paths, Dangers, Strategies
“The Sun King had dinner each night alone. He chose from forty dishes, served on gold and silver plate. It took a staggering 498 people to prepare each meal. He was rich because he consumed the work of other people, mainly in the form of their services. He was rich because other people did things for him. At that time, the average French family would have prepared and consumed its own meals as well as paid tax to support his servants in the palace. So it is not hard to conclude that Louis XIV was rich because others were poor.
But what about today? Consider that you are an average person, say a woman of 35, living in, for the sake of argument, Paris and earning the median wage, with a working husband and two children. You are far from poor, but in relative terms, you are immeasurably poorer than Louis was. Where he was the richest of the rich in the world’s richest city, you have no servants, no palace, no carriage, no kingdom. As you toil home from work on the crowded Metro, stopping at the shop on the way to buy a ready meal for four, you might be thinking that Louis XIV’s dining arrangements were way beyond your reach. And yet consider this. The cornucopia that greets you as you enter the supermarket dwarfs anything that Louis XIV ever experienced (and it is probably less likely to contain salmonella). You can buy a fresh, frozen, tinned, smoked or pre-prepared meal made with beef, chicken, pork, lamb, fish, prawns, scallops, eggs, potatoes, beans, carrots, cabbage, aubergine, kumquats, celeriac, okra, seven kinds of lettuce, cooked in olive, walnut, sunflower or peanut oil and flavoured with cilantro, turmeric, basil or rosemary … You may have no chefs, but you can decide on a whim to choose between scores of nearby bistros, or Italian, Chinese, Japanese or Indian restaurants, in each of which a team of skilled chefs is waiting to serve your family at less than an hour’s notice. Think of this: never before this generation has the average person been able to afford to have somebody else prepare his meals.
You employ no tailor, but you can browse the internet and instantly order from an almost infinite range of excellent, affordable clothes of cotton, silk, linen, wool and nylon made up for you in factories all over Asia. You have no carriage, but you can buy a ticket which will summon the services of a skilled pilot of a budget airline to fly you to one of hundreds of destinations that Louis never dreamed of seeing. You have no woodcutters to bring you logs for the fire, but the operators of gas rigs in Russia are clamouring to bring you clean central heating. You have no wick-trimming footman, but your light switch gives you the instant and brilliant produce of hardworking people at a grid of distant nuclear power stations. You have no runner to send messages, but even now a repairman is climbing a mobile-phone mast somewhere in the world to make sure it is working properly just in case you need to call that cell. You have no private apothecary, but your local pharmacy supplies you with the handiwork of many thousands of chemists, engineers and logistics experts. You have no government ministers, but diligent reporters are even now standing ready to tell you about a film star’s divorce if you will only switch to their channel or log on to their blogs.
My point is that you have far, far more than 498 servants at your immediate beck and call. Of course, unlike the Sun King’s servants, these people work for many other people too, but from your perspective what is the difference? That is the magic that exchange and specialisation have wrought for the human species.”
― The Rational Optimist: How Prosperity Evolves
But what about today? Consider that you are an average person, say a woman of 35, living in, for the sake of argument, Paris and earning the median wage, with a working husband and two children. You are far from poor, but in relative terms, you are immeasurably poorer than Louis was. Where he was the richest of the rich in the world’s richest city, you have no servants, no palace, no carriage, no kingdom. As you toil home from work on the crowded Metro, stopping at the shop on the way to buy a ready meal for four, you might be thinking that Louis XIV’s dining arrangements were way beyond your reach. And yet consider this. The cornucopia that greets you as you enter the supermarket dwarfs anything that Louis XIV ever experienced (and it is probably less likely to contain salmonella). You can buy a fresh, frozen, tinned, smoked or pre-prepared meal made with beef, chicken, pork, lamb, fish, prawns, scallops, eggs, potatoes, beans, carrots, cabbage, aubergine, kumquats, celeriac, okra, seven kinds of lettuce, cooked in olive, walnut, sunflower or peanut oil and flavoured with cilantro, turmeric, basil or rosemary … You may have no chefs, but you can decide on a whim to choose between scores of nearby bistros, or Italian, Chinese, Japanese or Indian restaurants, in each of which a team of skilled chefs is waiting to serve your family at less than an hour’s notice. Think of this: never before this generation has the average person been able to afford to have somebody else prepare his meals.
You employ no tailor, but you can browse the internet and instantly order from an almost infinite range of excellent, affordable clothes of cotton, silk, linen, wool and nylon made up for you in factories all over Asia. You have no carriage, but you can buy a ticket which will summon the services of a skilled pilot of a budget airline to fly you to one of hundreds of destinations that Louis never dreamed of seeing. You have no woodcutters to bring you logs for the fire, but the operators of gas rigs in Russia are clamouring to bring you clean central heating. You have no wick-trimming footman, but your light switch gives you the instant and brilliant produce of hardworking people at a grid of distant nuclear power stations. You have no runner to send messages, but even now a repairman is climbing a mobile-phone mast somewhere in the world to make sure it is working properly just in case you need to call that cell. You have no private apothecary, but your local pharmacy supplies you with the handiwork of many thousands of chemists, engineers and logistics experts. You have no government ministers, but diligent reporters are even now standing ready to tell you about a film star’s divorce if you will only switch to their channel or log on to their blogs.
My point is that you have far, far more than 498 servants at your immediate beck and call. Of course, unlike the Sun King’s servants, these people work for many other people too, but from your perspective what is the difference? That is the magic that exchange and specialisation have wrought for the human species.”
― The Rational Optimist: How Prosperity Evolves
“[D]espite what our intuition tells us, changes in the world’s population are not generally neutral. They are either a good thing or a bad thing. But it is uncertain even what form a correct theory of the value of population would take. In the area of population, we are radically uncertain. We do not know what value to set on changes in the world’s population. If the population shrinks as a result of climate change, we do not know how to evaluate that change. Yet we have reason to think that changes in population may be one of the most morally significant effects of climate change. The small chance of catastrophe may be a major component in the expected value of harm caused by climate change, and the loss of population may be a major component of the badness of catastrophe.
How should we cope with this new, radical sort of uncertainty? Uncertainty was the subject of chapter 7. That chapter came up with a definitive answer: we should apply expected value theory. Is that not the right answer now? Sadly it is not, because our new sort of uncertainty is particularly intractable. In most cases of uncertainty about value, expected value theory simply cannot be applied.
When an event leads to uncertain results, expected value theory requires us first to assign a value to each of the possible results it may lead to. Then it requires us to calculate the weighted average value of the results, weighted by their probabilities. This gives us the event’s expected value, which we should use in our decision-making.
Now we are uncertain about how to value the results of an event, rather than about what the results will be. To keep things simple, let us set aside the ordinary sort of uncertainty by assuming that we know for sure what the results of the event will be. For instance, suppose we know that a catastrophe will have the effect of halving the world’s population. Our problem is that various different moral theories of value evaluate this effect differently. How might we try to apply expected value theory to this catastrophe?
We can start by evaluating the effect according to each of the different theories of value separately; there is no difficulty in principle there. We next need to assign probabilities to each of the theories; no doubt that will be difficult, but let us assume we can do it somehow. We then encounter the fundamental difficulty. Each different theory will value the change in population according to its own units of value, and those units may be incomparable with one another. Consequently, we cannot form a weighted average of them.
For example, one theory of value is total utilitarianism. This theory values the collapse of population as the loss of the total well-being that will result from it. Its unit of value is well-being. Another theory is average utilitarianism. It values the collapse of population as the change of average well-being that will result from it. Its unit of value is well-being per person. We cannot take a sensible average of some amount of well-being and some amount of well-being per person. It would be like trying to take an average of a distance, whose unit is kilometers, and a speed, whose unit is kilometers per hour. Most theories of value will be incomparable in this way. Expected value theory is therefore rarely able to help with uncertainty about value.
So we face a particularly intractable problem of uncertainty, which prevents us from working out what we should do. Yet we have to act; climate change will not wait while we sort ourselves out. What should we do, then, seeing as we do not know what we should do? This too is a question for moral philosophy.
Even the question is paradoxical: it is asking for an answer while at the same time acknowledging that no one knows the answer. How to pose the question correctly but unparadoxically is itself a problem for moral philosophy.”
―
How should we cope with this new, radical sort of uncertainty? Uncertainty was the subject of chapter 7. That chapter came up with a definitive answer: we should apply expected value theory. Is that not the right answer now? Sadly it is not, because our new sort of uncertainty is particularly intractable. In most cases of uncertainty about value, expected value theory simply cannot be applied.
When an event leads to uncertain results, expected value theory requires us first to assign a value to each of the possible results it may lead to. Then it requires us to calculate the weighted average value of the results, weighted by their probabilities. This gives us the event’s expected value, which we should use in our decision-making.
Now we are uncertain about how to value the results of an event, rather than about what the results will be. To keep things simple, let us set aside the ordinary sort of uncertainty by assuming that we know for sure what the results of the event will be. For instance, suppose we know that a catastrophe will have the effect of halving the world’s population. Our problem is that various different moral theories of value evaluate this effect differently. How might we try to apply expected value theory to this catastrophe?
We can start by evaluating the effect according to each of the different theories of value separately; there is no difficulty in principle there. We next need to assign probabilities to each of the theories; no doubt that will be difficult, but let us assume we can do it somehow. We then encounter the fundamental difficulty. Each different theory will value the change in population according to its own units of value, and those units may be incomparable with one another. Consequently, we cannot form a weighted average of them.
For example, one theory of value is total utilitarianism. This theory values the collapse of population as the loss of the total well-being that will result from it. Its unit of value is well-being. Another theory is average utilitarianism. It values the collapse of population as the change of average well-being that will result from it. Its unit of value is well-being per person. We cannot take a sensible average of some amount of well-being and some amount of well-being per person. It would be like trying to take an average of a distance, whose unit is kilometers, and a speed, whose unit is kilometers per hour. Most theories of value will be incomparable in this way. Expected value theory is therefore rarely able to help with uncertainty about value.
So we face a particularly intractable problem of uncertainty, which prevents us from working out what we should do. Yet we have to act; climate change will not wait while we sort ourselves out. What should we do, then, seeing as we do not know what we should do? This too is a question for moral philosophy.
Even the question is paradoxical: it is asking for an answer while at the same time acknowledging that no one knows the answer. How to pose the question correctly but unparadoxically is itself a problem for moral philosophy.”
―
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