Yuval Noah Harari Financial Times

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17 czerwca 2020
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Yuval Noah Harari Financial Times

In the age of data, algorithms have the answer, writes the historian Yuval Noah Harari Instead of every country trying to do it locally and hoarding whatever equipment it can get, a co-ordinated global effort could greatly accelerate production and make sure life-saving equipment is distributed more fairly. What happens when entire schools and universities go online? Scientific insights into the way our brains and bodies work suggest that our feelings are not some uniquely human spiritual quality. As a thought experiment, consider a hypothetical government that demands that every citizen wears a biometric bracelet that monitors body temperature and heart-rate 24 hours a day. For when people are given a choice between privacy and health, they will usually choose health.We might consider a similar global effort to pool medical personnel. Yuval Noah Harari Add to myFT. Why is it that when billions of neurons in the brain fire particular signals to one another, a subjective feeling of love or fear or anger appears?

My algorithms — which are based on the most up-to-date studies and statistics — say that looks have only a 14 per cent impact on the long-term success of romantic relationships. From infancy we are bombarded with a barrage of humanist slogans counselling us: “Listen to yourself, be true to yourself, trust yourself, follow your heart, do what feels good.”Authority will shift from humans to computer algorithms. It will just have to be better on average than meContrary to popular opinion, feelings aren’t the opposite of rationality; they are evolutionary rationality made flesh.

It would go away once the emergency is over. The podcast is an opportunity to reconnect with renowned speakers and dive deeper into their ideas within a different global climate. Such a system could arguably stop the epidemic in its tracks within days. Previously, even doctors and nurses proceeded from one surgical operation to the next without washing their hands.

Whenever people talk about surveillance, remember that the same surveillance technology can usually be used not only by governments to monitor individuals — but also by individuals to monitor governments. This kind of technology is not limited to east Asia. Biometric monitoring would make Cambridge Analytica’s data hacking tactics look like something from the Stone Age. The coronavirus crisis could be the battle’s tipping point. Sounds wonderful, right?This administration has abandoned even its closest allies.

It won’t have to be correct all the time. It won’t have to be correct all the time. If you know, for example, that I clicked on a Fox News link rather than a CNN link, that can teach you something about my political views and perhaps even my personality. These biochemical algorithms have evolved and improved through millions of years of evolution. It would know what made you laugh, what made you sad, what made you angry. If later on the focus of the epidemic shifts, help could start flowing in the opposite direction. First and foremost, in order to defeat the virus we need to share information globally.

TIME In the … They fast-forward historical processes. If we fail to make the right choice, we might find ourselves signing away our most precious freedoms, thinking that this is the only way to safeguard our health.In previous global crises — such as the 2008 financial crisis and the 2014 Ebola epidemic — the US assumed the role of global leader.

We must hope that the current epidemic will help humankind realise the acute danger posed by global disunity. Many short-term emergency measures will become a fixture of life. In market economics, we maintain that the customer is always right.

The second is between nationalist isolation and global solidarity. We should definitely make use of new technologies too, but these technologies should empower citizens.

I am all in favour of monitoring my body temperature and blood pressure, but that data should not be used to create an all-powerful government. There are two main ways of achieving this. If the algorithms nevertheless seem poised to take over, it is mainly because most human beings hardly know themselves at all.We are already becoming tiny chips inside a giant system that nobody really understandsWhat is already happening in medicine is likely to take place in more and more fields.

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Yuval Noah Harari Financial Times