What if we also apply Circular Intelligence?

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What if we also apply Circular Intelligence?

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About to finish high school, Laura was already acquiring a certain critical spirit that she applied especially in the classroom. She was an attentive  american phone numbers list student, so a teacher’s comment had not gone unnoticed: “Even if you don’t like it, what you are learning here today will soon be no longer very useful; everything changes very quickly, so be prepared to recycle them permanently and on the go. ”

Actually, that professor’s comment was not without reason. Although somewhat exaggerated, his assessment of the obsolescence of the knowledge that is transmitted in the classroom today seems to be endorsed by the facts, either because we adapt even the most solid thought to our measure until we distort its origin, or because new technologies supply enough intellectual tasks that until recently demanded learning, dedication and effort. Let’s think, to illustrate the first, how we shape concepts like authority, education or democracy. And let us remember, to understand the second, that in just 10 years (from 1996 to 2006) a computer with a power of 1.8 teraflops (1.8 trillion calculations per second) went from costing 55 million dollars to 500, from consuming the energy of 800 homes to that of a light bulb, to occupy a tennis court just 30 cms. ; the first was called Asci Red and the second Play Station 3.

The short useful life that certain knowledge seems to have today is similar to Moore’s prediction in relation to microprocessors, so that the progression of the amount of information to be known and retained is also exponential. Our brain (the brain to which it belongs, to be more precise) continues to weigh around a kilo and a half and consume 20% of the total energy of the body since we acquired hominid features, but the processing demands to which we now submit they are infinitely older. However, a feature of human intelligence is its ability to filter and discern the information that interests us from the vast amount of data that reaches us. With the same engine, we now know how to drive much better to get more out of it.

But I’m afraid, however, that behind this great supermarket of ready-to-eat data and information, too much waste is produced, and not only because of its expiration but also because of an outrageous and irresponsible waste. Who knows if, seeing the matter like this, from the field of economics we can extract some sprout of common sense?

Fortunately, in developed societies, the concept of Circular Economy is increasingly widespread. Unlike the so-called “linear economy” (extraction, manufacture, use and disposal), the circular economy is based on the idea of ​​the recovery and reuse of products and raw materials, in order to optimize the use of energy and environmental resources finite and minimizing waste.

Well, the comment that so upset our student is the intellectual reflection of linear economics. Knowledge is also throwaway. For this reason, it will allow me from here to imagine aloud and quickly what circular intelligence would be like.

Let us assume as a possible definition of Intelligence the ability to collect, manage and interpret the information that comes to us in order to obtain, from such learning, conclusions and guidelines for making decisions. Apart from conditions such as age, health, intellectual training, etc., the nuance that makes us different is autonomy and awareness in the use of it, which is what makes us responsible for our actions. The marchine learning on which Artificial Intelligence is based is also learning but with an almost non-existent level of autonomy (at least for now); the machine “learns” according to a previous program and without being aware of it or the will to do so. In fact, it is artificial because it does not know it exists.

What is the raw material of intelligence? Information, in its broadest sense. The one transmitted, for example, by the teacher in class, the one that reaches us through the internet in all its forms, or appears in the media? or in the “activity bracelet” that  american phone numbers list  tells us the steps we take and should take, our heart rate and the hours of deep sleep each night. Huge amounts of data, in any case, that our brain is forced to handle with little opportunity for reflection and learning.

More item: how much of that information is throwaway and therefore ends up in the bin of our own intellectual “garbage”? It seems that we limit ourselves, as in the linear economy, to extracting (that’s what Google is for), manufacturing (Facebook, Twitter, Gmail, Netflix, WhatsApp? These are our assembly lines), using (tweets, likes, stories? and put creative more aided) and eliminate (obtained the emotional reward, as fleeting as it is replaceable, only oblivion leaves room for the next order).

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