developing

“In three or four years it is possible that there will no longer be anyone developing software here”

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SAP is one of the largest software companies in the world, so when its CEO states that in a very short time there will be no one programmingthings are going to get really complicated for software engineers. Christian Klein, CEO of SAP, assured in an interview for Financial Review that: “Software development is the function most affected by AI, and there is a possibility that in three or four years there will no longer be anyone developing software at SAP.” Klein’s statement is not a pressure maneuver on his employees, but is part of a strategy that the manager has been building for months, and which now has a name: the Autonomous Company. A company that wants to reinvent itself from within. SAP has more than 110,000 employees worldwide and is the largest software company in Europe. Of those 110,000 employees, more than 30,000 hold software development positions. That means Klein hopes be able to automate work which today employs more than 27% of its workforce with AI agents. The CEO shares the idea that the vibe coding It allows someone without technical training to generate software from natural language instructions. Klein, just like Like many other senior technology managers, he sees this as the beginning of the end for programmers. as we know it currently. That is, the role of the software developer will no longer be linked to the generation of the code, but to your supervision. SAP does not fire, it replaces. However, what Klein wanted to make very clear is that, although SAP will tend to reduce the number of software developers on its staff, that does not mean that it will lay off its employees. They will simply go to develop other roles within the company to meet new development needs. Klein explains that the workforce will change and product managers, who previously barely programmed, will start working alongside experts from different sectors to create new AI agents. “We need product managers who know how to read code and understand business. Although the demand for developers is low, we need more data scientists,” says the manager. Looking for AI trainers, not programmers. According to data from the latest study On global trends on the future of work prepared by ManpowerGroup, AI skills have surpassed engineering and computer science as the most difficult to find, with 72% of companies having difficulty filling these positions. The profiles Klein describes, product managers who understand how AI works and design AI agents, do not yet exist in quantity. what the industry needs. Developer confidence in the code generated by AI fell from 40% to 29% in a single year. 46% of professionals actively distrust these tools. 45% of the code generated by AI contains errors serious safety issues. Klein talks about a future without programmers, but today’s data shows that human supervision is still the difference between a reliable product and one with holes. In Xataka | Richard Liu, CEO of JD.com: “When robots deliver packages, the day will come when delivery drivers will no longer be needed Image | SAP, Unsplash (Becomes Co)

We don’t know if AI is going to take our jobs. The problem is that whoever is developing the AI ​​doesn’t know it either.

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The arrival of AI has sown the seed of uncertainty in many sectors putting on the table a question for which, today, no one has a clear answer: Is AI going to take our jobs or not? The most curious thing is that not even those who are developing those models that would replace millions of employees they have a clear answer. Sam Altman and Dario Amodei, heads of OpenAI and Anthropic, have been offering two completely opposite visions for the same issue. After predicting a almost apocalyptic scenarioAltman now says everything will be fine. Amodei, for his part, warns of a very hard blow to employment. The data also does not shed light on the future employment of those who now must choose a career professional. Altman says he was wrong (for the better). Sam Altman, the head of OpenAI, has greatly softened the defeatist speech he had been holding. A while ago I talked about entire job categories that were going to disappear. Now he says something else, although perhaps he does so more conditioned by the IPO of your company than for the certainty of a future with more jobs. According to collected ReutersAltman is “I’m glad I was wrong about this; I thought the elimination of entry-level administrative jobs would have already had a bigger impact than it actually has.” This is a pretty big script twist coming from someone who has been setting the pace for the sector for years. Amodei and Anthropic do not let up. At the other end of the narrative is Anthropic. Its co-founder, Chris Olah, repeated at a conference on ethics and AI in the vatican the same idea as his boss, Dario Amodei, has been defending for a long time. There is a real possibility that AI will replace human work on a large scale. It does not speak of a smooth change or an easy transition. Talk about a serious, and sudden, impact. However, although both talk about the same type of technology and with similar data on the table, their interpretations of what is to come are clearly opposite. Employees were an expense, but AI doesn’t come free. As leaders at major AI companies debate the future of the millions of employees they will replace with AI, companies are beginning to realize that AI It’s not going to be much cheaper either. than an employee. The companies that have opted the most for workforce cuts and increased use of AI are receiving your first billsand they scare. So they have put a stop to the so-called “tokenmaxxing“: pay without limit to use models without measuring the return well. According to collected Business InsiderUber’s chief operating officer said AI costs are increasingly difficult to justify, just after its chief technology officer burned the annual AI budget early. According what was published by The VergeMicrosoft, also began reducing Claude Code licenses among its employees, a cut that Fortune linked to the high cost of massive use of these models. More jobs for programmers and security teams. However, the implementation of AI in companies, far from eliminating jobs, is increasing the demand for certain profiles. According to data from the hiring platform Indeed collected by Axiosvacancies for software engineering positions have grown by 18% in the last year, while total employment falls by 4.3% in the same period. Why is this happening? More code written with AI means more code that someone has to check. Companies continue hiring security analystsauditors and people who validate what the models generate. Automation detects failures at high speed, but prioritizing and fixing them still depends on human judgment. For now, that criterion remains scarceand expensive. Generation Z is not trusting. Without a doubt, those most affected by all this uncertainty are the generation that has just entered the labor market. Without enough experience enough to face the new demands, but too advanced in their professional career to choose another career path. Given all this uncertainty and closed doorsGeneration Z no longer sees AI as an opportunity. He increasingly sees her as a direct threat to his first job, so he has chosen to fight it. A survey According to Gallup, enthusiasm for AI among young people fell 14 points in just one year, and anger towards the technology rose to 31%. And they don’t stop complaining. a survey of Writer together with Workplace Intelligence, pointed out that 44% of Generation Z employees admit to actively sabotaging their company’s AI implementation plans, compared to 29% of the entire workforce. With all this on the table, the only thing clear is that no one has the complete picture about the future of AI in the labor market. Neither those who sell the technology, nor those who use it, nor those who are about to look for their first job. Probably the answer is neither disaster nor total calm, but a little of each, distributed very unevenly depending on the sector and the country. In Xataka | Technology workers have better salaries and an important “but”: more than half fear being replaced by AI Image | Flickr (World Economic Forum/Pascal Bitz, Sandra Blaser), Unsplash (syful islam)

Mexico is developing its first electric car and Puebla has the responsibility of delivering it: Olinia

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Mexico has a plan: the ‘Mexico Plan‘. It is the roadmap to attract investment and develop industries such as biotechnology, that of semiconductors either that of electric cars. With tariffs, Mexico has realized that it must depend more on itself, and Olinia will be a way to achieve this. It is the name of a family of ‘Made in Mexico’ electric cars that was put on the table last year as part of that ambitious plan. And it needs -a lot- of money to get started. The plan. In Mexico there is a beastly infrastructure to create cars. In fact, the United States bought thousands of units of those cars manufactured in Mexico each year. However, Trump’s latest policies They convinced some manufacturers to move to American soil. That made the Sheinbaum government realize that they need their own industry to achieve technological sovereignty, and Olinia was the answer. in language nahuatl“olinia” means “to move”, and is the name of a family made up of three types of 100% electric and cheap vehicles: A small one for the personal mobility of young people and taking their children to school, as an alternative to buying a motorcycle. One for mobility in the neighborhood. One for last mile merchandise delivery companies. Puebla. During these last few months the development of the car has been moving, but recently we have had two interesting developments. The first is the manufacturing area. Puebla aimed to be, due to some plants they had, a systems supplier for the Olinia. The Technological Institute of Puebla would be in charge of some tasks, such as design, but now everything will take shape there. It will be one of the 60 technological innovation projects that will be developed in Puebla over the coming months, but it is evident that Olinia is the most visible piece of the strategy. The Government stated that the project is very advanced, but that we will have to wait until June for the launch of two prototypes. The car platform show me the pasta. This is not only a boost for Puebla in the particular struggle with Jalisco and Sonora to become the spearhead of the Mexican technology sector, but a declaration of intentions. It seems that the car is closer than we think and that commercial goal set in 2027 will be met. But something fundamental will be financing. Olinia is a program backed by public money (scarce so far, according to Bloomberg), but it is already noted that a few more million from private capital will be needed for it to see the light. At least, another 200 million dollars What the Government is looking for to be able to produce these first models in something that they describe as “a common practice in the market when talking about relations between governments and automobile companies.” Lithium. Little by little, Olinia is taking shape and phases of development are being completed. The intention is for them to be short-range cars for short-distance urban trips, but beyond the issue of financing, there is something on the horizon that could put a brake on the Mexican electric car: lithium. Because Mexico has some of the most important lithium reservesbeing a crucial component for the batteries of any device, but it is not produced on an industrial scale. And if it wants to be technologically and economically sovereign, perhaps the focus should be on discovering how to achieve a stable production of lithium and other critical minerals. In Xataka | The United States knows it has a problem with rare earths from China. And he believes he has an alternative: Mexico

The last barrier against AI is good taste. The problem is that an entire generation is growing up without developing it

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The new normal in three acts: You open X and find a clearly AI-generated image trying to look legitimate. But it’s not bad, it complies. You go to LinkedIn and find a piece that reeks of ChatGPT, but you get the idea that its author wanted to convey. In GitHub You find code that works, but that no sensible programmer would write like that. You let it go. welcome to the era of “good enough”. Generative AI has made it easy, fast, and free to produce “acceptable” things, and that has moved the collective bar for quality. Not upward but towards “functional”. The worrying thing is not that AI produces mediocrity, but that it is accustoming us to accepting it. Before, if we needed an image for the article, we had to look for it or – for those who had ID – order it. There was friction or there was cost. Now we generate it in fifteen seconds (wink), and since it “serves”, it stays there (wink, wink, nudge). Even if it is generic or has that artificial veneer that we all recognize but no one talks about anymore. The problem is that when something acceptable costs nothing to produce, we stop asking ourselves if it is worth doing. We’re just wondering if it meets the minimum. AND meeting the minimum is not the same as doing something good. In development this is also very noticeable. An experienced and talented programmer instantly recognizes whether a code has been written by an AI. Even if it works (we already take that for granted), you can tell by the verbiage, because it is redundant, because it is not very elegant. It does what it has to do, but no senior He would be proud to have it bearing his signature. What is going to happen to a generation that is going to learn to program using AI from day one? If you’ve never written bad code and then understood what makes it good, how are you going to develop judgment? Good taste does not come standard. It is built by seeing many bad things, many good things, making mistakes. AI saves you that path by giving you something that works from the first try. But without going down that path, you never develop the eye to distinguish. Therein lies the risk. AI has raised the floor (anyone can produce something decent), but the ceiling is still just as high. At least for the majority. Creating something exceptional requires the same things as always: talent, effort, judgment. Only now it is buried under tons of slop and mediocre but functional content. And since creating it is free, we produce it non-stop. Human value remains in taste. Knowing how to look at something and say “okay, it’s good, but it’s not good”. But that criterion is only formed with practice. If an entire generation grows up consuming and producing what “just delivers,” how are they going to learn what is excellent? If you have never seen the difference, that difference does not exist for you. We are heading towards a world where it will be normalized that “good enough” is the only standard because we forget how to recognize when something will be done well. In Xataka | There is a generation working for free as a documentarian of their own life: they are not influencers but they act as if they were. Featured image | Xataka with Nano Banana

Everyone is developing chips that compete with NVIDIA’s. They are in the wrong race

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Qualcomm advertisement on Monday that it is working on AI accelerator chips, which means there will be new competition for NVIDIA. The company that dominates the AI ​​hardware landscape is seeing a large group of competitors try to erode that position, but the problem for all of these companies is not the chips, but something else. A CUDA call. what has happened. Qualcomm has announced the AI200 chip, which will begin selling in 2026, and the AI250, which will do so in 2027. Both will be able to work in rack-type systems that have liquid cooling. Qualcomm servers may have up to 72 chips based on the Hexagon NPUs of the company’s Snapdragon SoCs. Inference yes, training no. The company has revealed that its chips focus on inference (the execution of AI models) and not training. Their rack-based systems will have lower operating costs than cloud system providers, Qualcomm says. Each rack consumes 160 kW, a figure comparable to the consumption of some racks based on NVIDIA GPUs. There are no details about the price of these chips, the cards or the racks that will integrate them, nor about how many NPUs can be offered in each rack. What we do know is that Qualcomm’s accelerator cards will support up to 768 GB of memory, more than what NVIDIA or AMD offer in their current models. according to CNBC. Chips for third parties. The other important point is that Qualcomm will sell its AI chips and other components separately, allowing large AI companies to “customize” their own racks based on Qualcomm chips. It is an identical philosophy to the one they have adopted in the world of their mobile SoCs. Investors viewed the news with exceptional optimism, and Qualcomm shares rose 11% in Monday’s session. NVIDIA dominates with an iron fist. In the AI ​​chip segment, the king is NVIDIA. The company is the absolute protagonist of this market and according to CNBC it maintains a 90% market share, which has allowed it to skyrocket its valuation to 4.5 trillion dollars. That dominance could now be threatened by the avalanche of chips that are arriving from various manufacturers. All against NVIDIA. AMD has its excellent Instinct, Google has your TPUsAmazon their TrainiumMicrosoft their Maia and Huawei has your Ascend. All of them make really striking proposals for NVIDIA chips, and little by little these solutions are being integrated into more and more data centers. But the real problem is not in the hardware, but in the software. The great challenge is to defeat CUDA. The de facto standard in the AI ​​industry that developers use It’s CUDAa platform that allows you to take full advantage of the capabilities of NVIDIA chips in the field of artificial intelligence. This hardware+software combination is much more mature than that of its competitors, who have the hardware part resolved (or are on the right track) but do not have a platform comparable to CUDA. AMD has ROCmwhich is especially interesting because it is Open Source, but at the moment its features still do not reach those of CUDA. Reinvent the wheel? CUDA has been on the market for almost two decades, which means that the majority of academic research and pioneering models—such as ImageNet—were written for CUDA. It is not a language, it is a vast collection of libraries, optimized frameworks (like cuDNN), debugging tools and a huge community. Developing a competitor is basically like reinventing the wheel, and migrations are expensive and companies and startups will not have an easy time assuming it. China is also in the fight. And of course, if there is another great protagonist in this race, it is China. The Asian giant, previously dependent on NVIDIA, is seeking to get rid of this manufacturer, and along with the development of advanced AI chips they are also trying to have its own AI software to surpass CUDA. In Xataka | AI is the best thing happening to nuclear fusion. The construction of ITER is already accelerating

the trauma of thousands of underpaid workers in developing countries

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He data labeling It is a necessary step so that learning models can understand them and thus learn. It’s the ScaleAI business, Alexandr Wang’s company recently valued at $29 billion. However, not everyone involved in data labeling enjoys this status. Much of this work is carried out by workers in poor countries, poorly paid and involves very unpleasant tasks. what’s happening. The advancement of artificial intelligence requires an enormous amount of data labeling. They count in AFP that this work is usually done by workers who reside in impoverished countries such as Kenya, Colombia or India. In addition to being very poorly paid, the job often requires them to review very unpleasant images. For example, for an AI to write an autopsy report, taggers must view hundreds of images of real crimes. The work. It consists of reviewing and labeling files, most often images. It does not require a degree, just knowing how to use a computer and demonstrating that you can think analytically. The ease of access means that many people in vulnerable situations turn to this type of work. The problem is that, to get a decent salary, they have to work long hours, up to 16 hours a day in some casesand also many times the content they must label is violent and extreme. AI moderators. It is a situation similar to the one that moderators of different platforms have been denouncing for years. We recently talked about the lawsuit that a former Chaturbate moderator had imposed on the company. There are other cases like that of Facebook moderators in Barcelona who denounced the company due to the psychological trauma that filtering all that content caused them. Invisible. The data labeling market generated 3.8 billion dollars in 2024 and is expected to grow to 17 billion in the next five years. However, those who make it possible work in very poor conditions. A Colombian worker tells AFP that data taggers are “like ghosts. No one knows we exist even though we are contributing to the technological progress of society.” Better conditions. There was no legislation in Kenya, but data taggers have been organized to achieve regulation and have better working conditions. They denounce the lack of psychological support they receive and demand formal employment contracts, a fair salary that reflects their work and the fundamental right to rest. This mobilization seeks to guarantee a more dignified work environment and protect the rights of these essential workers in the artificial intelligence industry. The platforms. The most mentioned is Remotasks, a subsidiary of Scale AI that has been the subject of protests in countries such as Kenya, Venezuela and the Philippines for defaults and problematic practices. The company defends himself and ensures that they offer “fair and competitive remuneration.” Last year closed its doors in Kenya after workers complained publicly. There are more like the Australian Appen or Sama, a subcontractor of companies like Meta and OpenAI that was sued in Kenya due to poor working conditions and also ceased its activity. The human cost. There is growing concern about the environmental impact of artificial intelligence, that requires large amounts of energy to run, especially due to the training and operation of complex models. However, there is not only an energy and natural resource cost, but also a significant human cost that seems to be going more unnoticed. Image | Christina Morillo, Pexels In Xataka | There are 60 countries that have signed an agreement for “open”, “inclusive” and “safe” AI. And two that don’t: the US and the United Kingdom

If interpreting a magnetic resonance it seems difficult it is because it is. That is why we are developing help: an AI

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The expectations are high: Artificial Intelligence (AI) has been promising for some time to be the next great revolution in medicine. Even aware of this revolution, the tools based on this concept are gaining step step by step in the area of ​​medical sciences. One of the most recent steps has been given by a team of researchers in Malaga. Improve images. The step in question has to do with the techniques used to take medical images. The new tool Improve automatic segmentation Of medical images, which in turn allows us to reduce errors in the analysis of complex images, says the team itself. Segmentation. But what exactly is that automatic medical image segmentation? According to Explain the team itselfmedical segmentation consists in “delimiting anatomical structures or lesions in medical images.” Thus it is possible not only to diagnose certain diseases more effectively, but also to more easily locate injuries and improve precision in certain treatments. However, this task is not always easy due to the limitations of the techniques used to take these images, such as magnetic resonances and tomographs. “The precision in the segmentation of medical images is essential to improve diagnoses and treatments,” detailed in a press release Ezequiel López Rubio, who led the study. Our approach demonstrates that it is possible to optimize the reliability of AI models by applying trial time increase techniques, which opens new possibilities in the field of computational medical image. ” In Xataka The Chinese company Alibaba has an AI to detect pancreatic cancer. It is so good that the US has accelerated its approval Medsam. For the development of the tool, the team started from a New Model of AI called Medsam, a model that combined with the TTA technique (Test-Time Augmentation). This combination allows, the team itself points out, introduce small transformations in the images at the time of being analyzed. Thus it is possible to achieve a “more robust system against variations”, with better precision in segmented contours. Promising results. With Regarding the resultsThe team stressed that the new tool “significantly improves precision” if we compare it with traditional segmentation methods, achieving greater reliability. This greater reliability would be key in images with noise or with little quality, something that, stand out, is common in clinical practice. Another relevant point for those who have formulated this new tool is flexibility of the methodology and its ability to adapt to different image taking technologies. The details of the study were published In an article In the magazine Mathematics. {“videoid”: “x8px49v”, “autoplay”: fals, “title”: “Antibiotics are no longer effective and the problem is superbacteria”, “Tag”: “Webedia-prod”, “Duration”: “327”} The new border. Artificial intelligence continues to see rapid expansion. An expansion that It covers medical disciplines. A good example of this are the diagnostic tools, whose precision would have managed to overcome the “clinical eye” of health personnel, according to They hold their developers. We still cannot trust our health at AI, but of course the potential of these tools when assisting health professionals and patients themselves grows day by day. These tools are a promising future, but at least for now they are just that. In Xataka | Surgeons are facing a new challenge: patients who want to resemble their double created by AI Image | Accuray (Function () {Window._js_modules = Window._js_modules || {}; var headelement = document.getelegsbytagname (‘head’) (0); if (_js_modules.instagram) {var instagramscript = Document.Createlement (‘script’); }}) (); – The news If interpreting a magnetic resonance it seems difficult it is because it is. That is why we are developing help: an AI It was originally posted in Xataka by Pablo Martínez-Juarez .

China is developing an underwater space station more than 2,000 meters deep

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In 1971, the former Russian Soviet Union launched its first space station, Slayut 1which was 175 days in orbit. From then on, the career in the space sector has grown tirelessly. In contrast we have the oceanic fund that around 80% is without mapping or exploring, According to the Oceanic and Atmospheric National Administration (NOA). In addition, in different studies with monitors, key minerals have been found for current technology and China He has got to work. Short. China has started the construction of an underwater laboratory at 2,000 meters deep in the Meriodional China Sea. The project developed in the deep waters of Guangzhou has been described as an “underwater space station”, where six scientists will be for more than a month to study the marine ecosystem, According to Chinadily. The underwater base. As have explained in the same mediumResearchers will aim to study cold leak ecosystems, a natural phenomenon that contains high amounts of methane hydrate. This gas is considered a less polluting alternative to traditional fossil fuels, but its extraction to great depths is a complex risk. On the other hand, the laboratory will also seek to explore minerals such as cobalt, nickel and rare earths, important elements for the technological and energy industry. Dangerous extraction. The deposits in the seabed, especially those at extreme depths, can cause irreparable damage to marine ecosystems. In fact, the international authority of the seabed has not established a regulation that determines how to carry out the activity, although studies are still being carried out. Currently, ISA He is holding meetings For the regulation of seabed extraction, while environmental organizations They are claiming a protection of oceans above commercial interests. Is there a place for everyone? The research center will be open to international collaborations and is aligned with the United Nations decade for the restoration of ecosystems, According to Global Times. However, this initiative will intensify disputes in the South China Sea. All this is because the Asian giant has claimed sovereignty over a large part of the area, which has led to tensions with neighboring countries that also wish to exploit their resources. Besides, According to El Confidencialcritics of the Chinese government have alerted the risk of this underwater base that could serve as justification for an increase in Chinese military presence. The submarine laboratory. According to El Confidencialthe station will be connected to a fiber optic network in the seabed and will support pressures 200 times higher than the sea level. Scientists will spend between a month and 45 days underwater, without natural light. In addition, the base will feature advanced submersibles, surface ships and equipment to perform four -dimensional monitoring of the region. In addition, the initial phase will focus on the construction of pressure resistant structures and simulation systems. Surpassing AI and autonomous vehicles. The station, as have detailed in SCMPIt will allow scientists to perform real -time experiments under extreme conditions, which is currently not possible to arrive with artificial intelligence or autonomous vehicles. As has explained for Global Times The project director, Chaolun Li, the initiative will contribute to the ecological and experimental monitoring in situ, advancing human knowledge in these extreme environments. Image | Proteus Ocean Group Xataka | Chinese submarines are authentic crickets: a new generation promises to change the rules of the game

We have just discovered that food can also affect the risk of developing lung cancer

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We know well that certain ways of life can affect our risk of suffering certain types of cancer. A clear case is that of the relationship between smoking and respiratory system tumors, especially lung. We also know that our diet It can affect to the probability that we develop cancers such as liver or colorectal. However, relationships can be somewhat more complex. Diet and lung cancer. A new study has linked The diet with the risk of lung cancer, a relationship that until now had remained, if it does not hide, at least in the shadow of other better known and explored connections. Adenocarcinoma and glycogen. The study focuses on the Pulmonary adenocarcinomaa tumor at the origin of 40% of cases of globally diagnosed lung cancer, explains the team responsible for the study. It is the cancer that causes more deaths in the United States, but it is also the most common lung cancer among people who have ever smoked. The new study focuses on glycogen accumulation. Glycogen is a polysaccharide, a sugar composed of simple sugars or monosaccharides, in this case a glucose chain. This sugar is used by our body as an energy reserve. The role of glycogen. The accumulations of Glycogen They had been observed in some types of cancers as well as in other diseases. Now, the team responsible for the new study, studied through computational and laboratory models how this complex sugar acts as “oncogenic metabolite.” As they explain, the greater the accumulation of the polysaccharide in cancer cells, greater and more dangerous will be tumor growth. In mice. The analysis in animal models (in mice) served to validate the theoretical results. The team found that, by feeding the mice with a diet that they catalog as “western”, capable of facilitating a greater presence of blood glycogen, cancer in the animals of the animals grew. In contrast, when glycogen levels fell, tumor growth was reduced. The details of the study were published In an article In the magazine Nature Metabolism. Diet and cancer risk. The team responsible for the study emphasizes that, although it is one of the first times (if not the first time) that lung cancer is linked to the diet, there are already numerous occasions when the diet has been put in the center of the strategies for cancer prevention. The diet is also an important pillar in treatments against this disease. “In the long term, our approach to cancer prevention should reflect the success of the antitabaco campaign (putting a greater emphasis on public awareness and policy -based strategies that promote healthier dietary choices as a fundamental component for disease prevention,” explained in a press release Ramon Sun, who led the team responsible for the study. Route for treatment. The good news is that the finding can open a way to improve treatments against this type of cancer. And we count at our disposal of drugs capable of controlling the level of glycogen in our body. Without the need to resort to pharmacological treatments, the study also allows highlighting the importance of a balanced diet in our health. In Xataka | Quantum computers begin to make a difference in a crucial field: the development of cancer vaccines Image | ROD Long

Spanish men are developing a peculiar obsession with swamps

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There is nothing written about tastes. Nor about obsessions. There are people aware of the LaLiga classificationfans of cars who do not escape any presentation, in love with literature or cinema to the removal of any novelty … and people, increasingly And that is also seen more clearly In networksthat shares a peculiar fascination: follow the evolution of the swamps. They are the ‘reservoir boys’. How are the reservoirs? The question may seem bland, especially in winter, with a good part of the country passed through water and without any specific reason to be aware of the Spanish reservoir network or some special swamp. However, more and more people (men above all) seem to ask that question every week. How are the reservoirs? Do they go up? Do they go down? His obsession is measured in a very precise unit: cubic hectometers. Click on the image to go to Tweet. Click on the image to go to the message. Click on the image to go to Tweet. “Spain in vilo”. A quick search arrives in X either Bluesky To confirm the interest aroused by reservoirs. In fact it is so clear that something else is found: who jokes on the subject Or comment, no longer the data of the swamps themselves, but the obsession around the data of the swamps, pulling humor. “Going to look at reservoirs.net is the greatest male urgency there are,” He wrote yesterday A user in X. and is not the only one. “Spain in vilo before the imminent update this Tuesday”, Add another. In Bluesky They can also be read A good handful of messages About swamps, including those who use The sneer. A name: reservoirs.net. All obsession has its axis. And that of the reservoirs has its own name: Reservoirs.neta website with updated information on embalmed water nationwide, weekly and annual variation and a data rosary by hydrographic basin. All well seasoned with graphics (infinity of graphics) and an arsenal of figures capable of delighting people who when the window appears on the days of Borrasca does not see rain but HM3 and double axis graphics. Click on the image to go to Tweet. Click on the image to go to Tweet. Click on the image to go to Tweet. Click on the image to go to Tweet. Click on the image to go to Tweet. Are there more sources? Of course. The Ministry for Ecological Transition and Demographic Challenge (MITECO) has its Hydrological Bulletinthere is also information about Confederations Hydrographic and Other websites that are responsible for collecting data from swamps. However, a search in X or Bluesky arrives to confirm that when obsession with the reservoirs, the looks are usually directed to Emblasses.net. To find data … and (too) to pull irony. “You do not know the desire that I have to take out the updated data of reservoirs of the week @reservoirs.net. It is being my drug,” He published yesterday In bluesky Fran Lamadrid. He profile of the web on the old Twitter is around 43,500 followers and there are those who, pulling more sneer, speaks of “data porn”. Click on the image to go to Tweet. Click on the image to go to Tweet. Click on the image to go to Tweet. Where does that interest come from? The million dollar question. The reservoirs are not the first obsession that flies free on the old Twitter. Before they have already been such disparate issues as The Roman Empire either The menu of the University dining room of Almería, between a long, very long etcetera. Obviously it is not the only obsession that is extending on the social network. Another topic supported by data that also gives rise to a good number of messages is demography and, specifically, birth. That there are so many people pending the reservoirs, however, with some issues that have been under the media focus in recent months. The main one, drought. The Rain scarcity has led several regions of Spain to look With concern Your swamps and water reserves. Another is the tragic Dana that hit Valencia and focused the focus, among other points, on The Foraata Reservoir. Images | Jacinta Lluch Valero (Flickr) and Miteco In Xataka | Batmancito: the disturbing baby “Reborn” to which his parents are becoming a viral phenomenon giving him life with ia

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