Homo Deus

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The author examined the world as what it could be. It is based on what he has read, seen or heard and trajectory of current events. He was repeatedly saying that this book was not about prediction, was not about prophecy because no-one could predict future, but it’s about the possibility. He illustrated his point of why predicting future is notoriously difficult with this example. In 2004 Professor Levy from MIT and Professor Murnane from Harvard published a thorough research of the job market, listing those professions most likely to undergo automation. Truck drivers were given as an example of a job that could not possibly be automated in the foreseeable future. It is hard to imagine, they wrote, that algorithms could safely drive trucks on a busy road. A mere ten years later, Google and Tesla not only imagine this, but are actually making it happen.

This book ties up pretty well with World Without Work, which looked at future of our world from economic point of view.

The reasons why we should be contemplating the future.

He posited that the probability and profitability of war are in decline. Previously the main sources of wealth were material assets such as gold mines, wheat fields and oil wells. Today the main source of wealth is knowledge. And whereas you can conquer oil fields through war, you cannot acquire knowledge that way. Wars, however, were increasingly restricted to the areas such as Middle East and Central Africa – where the economies are still old-fashioned material-based economies.

Through highly efficient, industrial scale food productions, large animal farms, meat processing factories, colossal wheat fields, wide-spread starvation is increasingly more likely to be the thing of the past. If incidences of famine, plague and war are decreasing, something is bound to take their place on the human agenda. We had better think very carefully what it is going to be. Otherwise, we might gain complete victory in the old battlefields (i.e. famine, plague, and war) only to be caught completely unaware on entirely new fronts. Like firefighters in a world without fire, so humankind in the twenty-first century needs to ask itself an unprecedented question: what are we going to do with ourselves? In a healthy, prosperous and harmonious world, what will demand our attention and ingenuity?

On career

Today we assume that you learn a profession in your teens and twenties, and then spend the rest of your life in that line of work. You obviously learn new things even in your forties and fifties, but life is generally divided into a learning period followed by a working period. in a world that is constantly being shaken by new technologies. People will have to reinvent themselves again and again.

Potential loss of many sure-thing professions and its financial incentives

Even highly experienced lawyers and detectives cannot easily spot deceptions merely by observing people’s facial expressions and tone of voice. However, lying involves different brain areas to those used when we tell the truth. We’re not there yet, but it is conceivable that in the not too distant future fMRI scanners could function as almost infallible truth machines. Where will that leave millions of lawyers, judges, cops and detectives?

In a recent experiment a computer algorithm diagnosed correctly 90 per cent of lung cancer cases presented to it, while human doctors had a success rate of only 50 per cent. A host of tough technical problems still prevent Watson and its ilk from replacing most doctors tomorrow morning. Yet these technical problems – however difficult – need only be solved once. The training of a human doctor is a complicated and expensive process that lasts years. When the process is complete, after ten years of studies and internships, all you get is one doctor. If you want two doctors, you have to repeat the entire process from scratch. In contrast, if and when you solve the technical problems hampering Watson, you will get not one, but an infinite number of doctors, available 24/7 in every corner of the world. So even if it costs $100 billion to make it work, in the long run it would be much cheaper than training human doctors.

On what should be the life goal.

This section employed principles similar to How Much Is Enough book. Material achievements alone will not satisfy us for long. Indeed, the blind pursuit of money, fame and pleasure will only make us miserable. Epicurus recommended, for example, to eat and drink in moderation, and to curb one’s sexual appetites. In the long run, a deep friendship will make us more content than a frenzied orgy. 

The glass ceiling of happiness is held in place by two stout pillars, one psychological, the other biological. On the psychological level, happiness depends on expectations rather than objective conditions. We don’t become satisfied by leading a peaceful and prosperous existence. Rather, we become satisfied when reality matches our expectations. The bad news is that as conditions improve, expectations balloon. On the biological level, both our expectations and our happiness are determined by our biochemistry, rather than by our economic, social or political situation.

If I want to feel those wonderful sensations again, I must get another promotion. And another. And if I don’t get a promotion, I might end up far more bitter and angry than if I had remained a humble pawn. This is all the fault of evolution. For countless generations our biochemical system adapted to increasing our chances of survival and reproduction, not our happiness.

Doesn’t this mean we can/should hack our biological system and put ourselves in a state of perpetual bliss through chemical means?

Perhaps the key to happiness is neither the race nor the gold medal, but rather combining the right doses of excitement and tranquillity; but most of us tend to jump all the way from stress to boredom and back, remaining as discontented with out lives.

According to Buddha, we can train our minds to observe carefully how all sensations constantly arise and pass. When the mind learns to see our sensations for what they are – ephemeral and meaningless vibrations – we lose interest in pursuing them.

Brain twister on AI and mankind

Would it be okay, for example, for an artificial intelligence to exploit humans and even kill them to further its own needs and desires? If it should never be allowed to do that, despite its superior intelligence and power, why is it ethical for humans to exploit and kill pigs?

Interesting concept of corporation and nation.

The stories are just tools. They should not become our goals or our yardsticks. When we forget that they are mere fiction, we lose touch with reality. Then we begin entire wars ‘to make a lot of money for the corporation’ or ‘to protect the national interest’. Corporations, money and nations exist only in our imagination. We invented them to serve us; how come we find ourselves sacrificing our lives in their service?

Economic principle of capitalism

The credo of ‘more stuff’ accordingly urges individuals, firms and governments to discount anything that might hamper economic growth, such as preserving social equality, ensuring ecological harmony or honouring your parents. No doubt, when some people specialise in software engineering while others spend their time taking care of the elderly, we can produce more software and give old people more professional care. Yet is economic growth more important than family bonds? By daring to make such ethical judgements, free-market capitalism has crossed the border from the land of science to that of religion.

Growing old: what we think would happen vs what actually happens.

The ideal elder may suffer from bodily ailments and weaknesses, but his mind is quick and sharp, and he has eighty years of insights to dispense. He knows exactly what’s what, and always has good advice for the grandchildren and other visitors. Twenty-first-century octogenarians don’t always look like that. Thanks to our growing understanding of human biology, medicine keeps us alive long enough for our minds and our ‘authentic selves’ to disintegrate and dissolve. All too often, what’s left is a collection of dysfunctional biological systems kept going by a collection of monitors, computers and pumps.

Chankhrit Sathorn