AI is turning us into editors of ourselves. We approve what we no longer know how to create

Some time ago Spark, my email clientintegrated an AI response generator that learns from your style. It works surprisingly well. Since then I follow a simple rule: if the email comes from a human, I respond by typing. If it comes from a bot or mass mailing, I let the AI ​​answer for me. The fact is that it is increasingly difficult to distinguish which is which. And that’s where the real problem begins. Because it’s not about efficiency. It is about we have accepted, without realizing it, that communication can be symmetrical in its mediocrity. You write to me with AI, I respond to you with AI. We all save time. Nobody says anything quite real. I know too many people who have crossed the line: using AI not just for generic emails, but for everything: Tweets that sound like a corporate manual. LinkedIn posts with that unctuous and necessarily inspirational prose that smells of prompt wander from three paragraphs away. Proposals to clients. Reports to the boss. Slack messages that you used to write in seconds and now go through ChatGPT. They have become editors of their own communication. Creative directors of words that they no longer search for. And in a way it works, you have to admit. The report arrives on time. The proposal sounds professional. The tweet, for reasons unknown to me, achieves engagement. If the result is what counts, and it saves you time, what’s the problem? The problem is subtle. So subtle that almost no one notices it. Writing was never just about producing readable text. It was the friction of searching for the exact word, and in that search better understanding what you wanted to say. Writing was thought becoming visible, even to oneself. The effort to articulate was the effort to think clearly. I remember some articles in which I noticed that effort until I reached the result I wanted. An example is this 2019long before ChatGPT. That process matters. Now we delegate that friction. We give the AI ​​a vague idea and it articulates it for us. We just need to recognize if it sounds good, not generate it from scratch. We have gone from being authors to being approvers. Something atrophies when you stop looking for your own words. It’s not just personality or style. It is the ability to think accurately, because thinking well and writing well were always the same thing. When you externalize articulation, you externalize thinking. The worst thing is that it is invisible. There is no dramatic moment in which you stop knowing how to think. You just start to need a little more help each time. A little push to find the words. Then a full draft that you just “revise.” Then you don’t even check carefully because “AI makes it cool.” The argument is always the same: “but the result is good.” And yes, it may be. The report is understood. The proposal convinces. The tweet works. But There is a difference between a text that works and a text that you really thought. The first can get you a client. The second can make you understand something you didn’t know you thought. This is how an entire generation can lose the ability to articulate complex ideas without realizing it. Because each individual step seems reasonable. Every shortcut seems harmless. And the results, indeed, are acceptable. But “acceptable” has become the new standard. And in the process we have forgotten that writing was not just a means to communicate ideas that were already clear to us. It was the very mechanism to keep things clear.. AI is not making us worse writers. It is turning us into non-writers. And without writing, without that struggle to find the right words, pWe also lose the ability to have ideas worth writing down.. We have normalized an existence where we monitor our own communication instead of generating it. Where we approve instead of create. Where language is something that we recognize when we see it, but that we will no longer know how to produce from silence. And we call it productivity. In Xataka | I increasingly like technology that doesn’t want anything from me: the one that has a purpose and leaves you alone Featured image | Xataka

Studying a lot is fine, but there is another factor that influences that you approve or suspend: the exam time

If you want to approve an exam, there is nothing more than study (well, or Use Chatgpt). Going prepared is the best insurance to get good note, but there is more. Some researchers have discovered That the exam time can also influence, and much, in the result. The study. It was carried out at the University of Messina, Italy. They took into account the exams that were made between the end of 2018 and early 2020. In total, more than 100,000 exams of 1,243 subjects. The approved rate was 57%, the curious thing was when they realized that there was a time slot in which the approved rate was greater. Better at noon. The exams were held from 8 in the morning until 4 in the afternoon. The time slot between 11:00 and 13:00 is where the approved rate reached its peak. If you are lucky enough to put the exam at that time, the chances of edges are higher. If on the contrary you have the exam at 8 in the morning or 3 in the afternoon, you may not take out outstanding. Because. The study does not delve into the causes, but researchers have a hypothesis: biological rhythms. One of the authors of the study affirms that the results show “how biological rhythms, often ignored in decision -making contexts, can significantly influence the result of high -risk evaluations.” Our cognitive performance is improving during the morning to reach a peak at noon and start its descent in the afternoon. The approved rate curve is clear: at noon better Fountain The chronotype The study also indicates that this could vary depending on the chronotype, something that has not been taken into account when obtaining the results. It refers to the natural predisposition of a person to have energy peaks and need for rest at different times of the day. Although we know that Genetics plays an important role in sleep cyclesit is also true that students usually study at night. A bad rest would explain that in the first hour the performance goes down. Exams and more. The researchers propose that the institutions concentrate the exams around the central hours of the day. Although the time of an exam does not depend on students, there are other evaluations where we do have some margin when arranging the time as a job interview, as They point to The Times. The researchers agree and leave the door open to study if the time also influences a better performance of the candidates and even the interviewers. Image | Flickr (University of Seville) In Xataka | The selectivity of 2025 promised to be more fair than ever: students feel that Pau is the opposite

The real challenge will be to choose a career with a future job when they approve it

Next June 3 gives the exit gun in several autonomous communities to the University Access Test (PAU). Beyond testing the acquired knowledge, the test is a decisive step in the orientation and five -year professional view of the young people who present them today. Its result will mark the decision of university careers those who can access. On the other hand, 75% of companies ensure Not find qualified personnel For vacancies due to lack of specialized training, which denotes a mismatch between preferences in university studies that are taken and real needs of companies. For this reason, taking into account the labor insertion of each career can be very useful to say for a specialty with labor guarantees. More and more university students, but less specialists. According to data from the Ministry of Science, Innovation and Universities of 2024, 341,831 students enrolled in the access test, of which 95.8% was presented and approved 90.2% of those who completed the test. In contrast, the report Labor market in Spain 2024prepared by Infojobs and ESADE, points out that only 31% of the candidates who responded to a job offer on that platform had a university degree, while only 11% of the published offers demanded that training. On the other hand, 27% of job seekers had a specialization of professional training, and 22% of vacancies required that degree. These data show the mismatch between training of employment plaintiffs and what companies are really looking for, especially in relation to university training. Studies with greater job insertion. According to the study The employability of young people in Spain 2024 Prepared by the CYD Foundation on the work outputs of the different university careers, engineering (electrical, industrial electronics, software development, telecommunications, etc.) are the ones that offer better working conditions to their graduates in terms of Stability in contractssalaries and affiliation rates. It is closely followed by those careers related to the health and care sphere, mainly driven by a high demand generated by the aging of the population. The First data of 2025 facilitated by the Ministry of Science, Innovation and Universities point to an analysis along the same lines, placing the different engineering such as the branch with greater stability and insertion rates, followed by health sciences. What companies demand. On the other side of the labor market is the demand of companies, which is aligned with the data that reflects the careers with better labor insertion. The aforementioned report Labor market in Spain 2024 It reflects that many of the offers published in 2024 in Infojobs responded to an engineering profile, with very little competition for each of the offers and with good remuneration in counterpart. In this sense, the Emerging jobs and sectors report 2024 It puts special emphasis on the demand for professionals related to the implementation and development of AI, such as data engineering and Machine Learning, whose demand has grown by 625% since 2019, or artificial intelligence engineering that grows at the rate of 83% per year, with a very low candidate competition for each job offer. On the other hand, the report prepared by Infojobs and ESADE, highlights that in 2024 97,500 vacancies related to health care and care on that platform were counted. Of them 98% and 97% corresponded to vacancies requested nurses and physiotherapists respectively. Both with university studies. The red lanterns. The races related to the branch of arts and humanities have been marking years A downward trend in terms of labor insertion. On average, only 63.5% of the graduates in these branches find a job four years after finishing their training. Only 34.2% do so during the following year to finish them. This data contrasts with the 77.8% computer science that finds a job the first year. In Xataka | Construction and hospitality do not hire the same pace as before. Health and education cut cod in job creation Image | Unspash (Brett Jordan)

Elon Musk got outstanding in computer science. Who designed the computers they used did not approve with the same ease

Become one of the greatest fortunes in the history of humanity Obviously it requires certain skills, especially when that fortune has been obtained in The technology sector. Who stands out in the technological field, tends to qualify as “technology geniuses.” Elon Musk, for example, obtained excellent notes in complicated matters as computer science. Paradoxically, Steve Jobs and Bill Gates, the most relevant names in the development of the computers that Musk used in their classes, did not stand out For your good notes During your student stage. His intelligence had a lot to do with it. Steve Jobs, the approved scraping A psychological report Prepared by the FBI on the student profile of Steve Jobs revealed that Apple’s co -founder had an average grade (GPA per grade point avenge) in secondary school of 2.65, which is equivalent to obtaining school grades between C and B. which could be considered as a scraping approved. However, despite obtaining such tight qualifications, the report He pointed outthat Jobs was extremely intelligent and with an exceptional ability to mold people of its environment manipulating truth and reality to achieve its objectives. When Jobs Fundo Apple, Those skills They served to attract the best talent by his side and convince them that they were able to design the best products in the world. Bill Gates, scattered talent In his autobiographical book, ‘Code Source: My beginnings’Gates reveals that during his high school in the exclusive Lakesid school he obtained grades that did not adjust to those of a preteen with the ability to quickly learn the complicated mathematical concepts that read in the books. “He was an avid generalist in a place where people focused on concrete matters. He didn’t fit, in summary, and he didn’t know how to solve it. So I pretended he didn’t want to do it.” The millionaire recognized that, although he was able to learn the subjects before his classmates, his attitude and behavior in class and with the rest of the students it was not adequate, and he did not feel motivated by the issues studied in class. However, all that changed when he discovered that he could create programs with the teletype of the “computer room.” Gates acknowledged that this moment marked a before and after in his passage through Secondary. He managed to focus And his notes improved immediately. ELON MUSK: Bright computer notes Elon Musk is the exception confirming the rule. A few weeks ago, Maye Musk, mother of the richest person on the planet With an estimated fortune of 419.6 billion dollars, he published in Your X profile An unpublished document: Elon Musk’s computer notes. Touch the image to go to the original message In his message, Maye Musk explained that, while reviewing his old family photos, he found a notification of the computer notes of the University of Pretoria of his son Elon Musk when he was 17 years old. “My genius child. Mom proud,” wrote the mother of the millionaire. In its qualifications it can be seen that the South African millionaire obtained the maximum score (A+) in programming and computer use skills. In response to his mother’s message, Musk said: “They told me that I obtained the highest score in engineering aptitude they have ever seen.” In other words, not bad for a human, as a future AI would say. “ High capabilities, low grades. The bad academic results – especially in the pre -university stages – of many of the people who have subsequently been considered “technological geniuses”, are not casual. The Scientific literature In this regard It is extensive and points to the existence of a link between the people with high capacitiesintellectuals with a Low school performance. Data from the Ministry of Education and Science estimated that around 70% of students with high capacities registered low school performance. The main reason for school failure among these students with high capacities is the lack of motivation to follow the rhythm of the classes. This, as Gates said in his book, It generates dispersion And his curiosity was aimed at learning on other issues that had nothing to do with the subject he had to study. On the other hand, the social factor and Its integration with the rest of the students It is also a key component for school success in these cases. In Xataka | Bill Gates used a trick to go to Harvard that today would help you find a job: be the perfect candidate for each position Image | AppleFlickr (Ted Conference, World Economic,)

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