Mobile Tech & Gadgets

The US has found a new way to torpedo China. The problem is that it takes ahead to South Korea

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The truce is over. The US does not want integrated circuit manufacturing equipment that resort to US technologies and innovations They arrive in China. Not even chips factories that They do not belong to Chinese companies. In 2022 the US Department of Commerce granted a temporary exemption to several manufacturers of foreign semicondators who have plants in China so that they could equip their facilities with the machines they needed. But this permissive period has expired. From now on any chips manufacturer who has plants in China will have to request a license from the US Commerce Department to be able to install in its factories machines with US components or technologies. Intel has sold Your Dalian plant (China), so this measure no longer affects it. However, there are two South Korean companies of enormous relevance in the semiconductor industry whose business can be deeply conditioned by the restrictions imposed by the US: Samsung and SK Hynix. The Department of Commerce is not reassuring These two South Korean companies need to send new manufacturing machines of integrated circuits to their China plants to protect their competitiveness, and without the approval of the US administration they cannot do so. Lithography equipment that manufactures asml They incorporate American technologies (The ultraviolet light source of UVE and UVP machines is produced by the company of Californian origin Cymer, which is now integrated into ASML). And presumably the lithographic equipment of Tokyo Electron, Nikon and Canon also, which gives the US the power to control which countries can use this technology. The Commerce Department has noticed that it will not grant licenses that pursue expand the production capacity in China or update the existing technology The Department of Commerce has anticipated which will deliver the necessary licenses so that foreign chip manufacturers can continue to operate their China plants. The restrictions will begin in 120 days, so these companies They still have some margin to react. However, in its statement the Department of Commerce He has also warned that will not grant licenses that pursue expand production capacity in China or update existing technology. For Samsung and SK Hynix this limitation represents a serious problem. Samsung produces Nand Flash chips in Xian, and SK Hynix manufactures DRAM integrated circuits in Wuxi and Nand Flash in Dalian. Equipating these plants with avant -garde equipment can make a difference in your business. What the US Government pursues with this measure is to minimize the risk that the vanguard wafer lithography and wafering equipment that manufactures ASML, Apply Materials or Tokyo Electron Caigan in the hands of China. In addition, these restrictions make it difficult for the avant -garde chips to produce Samsung and SK Hynix They arrive at China’s distribution chain. A spokesman for the Ministry of Commerce of China has declared that “Beijing opposes this US measure and will take the necessary measures to safeguard the legitimate rights and interests of companies.” On the other hand, the South Korean government is negotiating with its American counterpart to protect the business of its companies in China. Image | ASML More information | Reuters | Nikkei Asia In Xataka | China is very clear about what you should do to win the Chips War to the US: resort to their technology geniuses

We believed that the most complicated summer of F-35 had ended. Until his software made him kamikaze on the Arctic

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In mid-August it seemed frankly difficult for something more to the brand new F-35 of Lockheed Martin. After the plane stranded for a month In India, the reverse from Spain to an order (to which they have added other countries), and A second breakdown Of a hunt, this time in Japan, the quota of fatalities seemed complete. Until a report has appeared that calls for the plane and its sophisticated software. An accident and its causes. Now we know that on January 28, 2025 an F-35a of the United States Air Force, assigned to the 354th combat wing at the base of Eielson (Alaska), He crashed After taking off in training mission as part of a group of four aircraft. He Official Report of the Pacific Air Forces revealed that the main cause was the fluid freezing Hydraulic contaminated with water in the shock absorbers of the landing train, which prevented the complete extension of the struts and caused that the weight sensors on wheels on wheels They will erroneously interpret That the plane was on the ground while still flewing. Kamikaze mode. This false signal automatically activated the “on-aund” control mode in full flight, the aircraft becoming uncontrollable. Luckily, the pilot managed to eject and survived with minor injuries, but the plane, valued in 196.5 million dollarsit was completely lost. Emergency in flight. The problem was immediately manifested: the front train was misaligned at 17 degrees and could not retract. After radio consultations with engineers from Lockheed Martin and a flight supervisor, the pilot tried for almost an hour Reactivate the wheel using two “touch-And-go” maneuvers. However, the ice also blocked the main trains, and at the second attempt the sensors indicated that the aircraft had landed. What happened then? That the system automatically changed to Operation mode on landdrastically reducing the control capacity. The pilot, nicknamed in The “MP” reportmanaged to eject just before the hunt went into loss and fell into chopped. The device came to rise more than 1,000 meters after the ejection, and then rush vertically, in the sequence recorded in a video that went viral. Technical and maintenance factors. The investigation He explained that the ice in the struts, added to the bad alignment of the front -train blocking hook, damaged metal components and prevented the correct system coupling. In addition, and very important, the Wow sensors (Critics in the F-35 Flight Control Logic, known as Claws) showed vulnerability in extreme cold conditions, something that Lockheed Martin already He had warned In previous maintenance bulletins. In other words, the ice “cheated” to the software. The report Underline that water pollution in hydraulic fluids derived from poor management of hazardous materials and breaches in service protocols. These negligence, together with decision -making during the emergency, were considered contributing factors to the accident. Implications and lessons. No doubt, the case has highlighted the complexity inherent in the high F-35 automationwhere a sensor failure can trigger waterfall reactions in the control software. Although nine days later another F-35A was able to land with a similar problem in the train without consequences, the Research Board stressed that, with the available information, the safest option would have been to order an immediate landing or a controlled ejection instead of risking a second attempt to maneuver. Although the report did not issue recommendations Formal policy changes, did highlight the need to reinforce compliance with maintenance protocols, supervision of fluid use and preparation for operations in Arctic environments. Strategic repercussions. In short, the accident, Without fatalitieshighlights the challenges of operating fifth generation fighters in extreme conditions such as Alaska, where temperatures close to –17 ºC can aggravate technical vulnerabilities. Not just that. It also offers a warning to future operators in cold climates, Like Canada and Finlandwhich must consider the reliability of the sensors and the resilience of the control systems in hostile environments. Beyond the technical, the event illustrates how the sophistication of the F-35, with its dependence on algorithms and automation, can become a risk factor in unforeseen emergenciesforcing to rethink the balance between human control and software in new generation military aircraft. Image | US AIR National Guard/Tech. Sgt. Adam Keele In Xataka | It is being a complicated summer for the US F-35: after the “no” of Spain Russia and China have appeared to do more damage In Xataka | A group of countries is being formed after the decision of Spain: those that are closing the door to the US F-35

Soon one of them will stop being manufactured

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Little time has passed since Nintendo announced his second pack For the Nintendo Switch 2 And now we are in a crucial moment for those who want to opt for one of the two packs that are available. The reason? In a short time one of the two will stop manufacturing. To give context, these are the two packs that are now available: Nintendo Switch 2 + ‘Mario Kart World‘ by 509 euros. Nintendo Switch 2 + ‘Pokémon legends: za‘ by 509 euros. Nintendo Switch 2 + ‘Mario Kart World’ * Some price may have changed from the last review Nintendo Switch 2 + ‘Pokémon legends: za’ * Some price may have changed from the last review A key moment to choose pack The pack with ‘Mario Kart World’ will stop manufacturing next October. What should be an indicated date for Nintendo, it is a bittersweet moment. On October 16, the second pack will be launched which includes the Nintendo Switch 2 along with ‘Pokémon legends: za‘, but it will also be the date (the month really) in which the Nintendo Switch 2 pack will stop manufacturing along with’Mario Kart World‘, as our 3DJUGOS colleagues collected in their day. That is why right now we are in an important and interesting time in order to buy the Nintendo Switch 2 in Pack, since We can choose between one of the two that are available: that of ‘Mario Kart World’ for having been launched and that of ‘Pokémon legends: za’ for being in reserve period. This does not mean that as of October you can not buy the ‘Mario Kart World’ pack: it is the date on which it will stop manufacturing, but It is likely that stores continue to have stock for a timeas happened similarly with ‘Super Mario 3D All-Stars‘, that He stopped manufacturing and disappeared from eShopalthough it was available in stores for a brief period of time. You may also interest you Zelda Tears of the Kingdom – Nintendo Switch 2 Edition * Some price may have changed from the last review Donkey Kong Bananza- Switch 2 * Some price may have changed from the last review Some of the links of this article are affiliated and can report a benefit to Xataka. In case of non -availability, offers may vary. Image | Alejandro AlcoleaNintendo In Xataka | The best accessories for your switch: covers, transport bags, batteries, and more In Xataka | What Micro SD card for Nintendo Switch buy. Better recommendations and 10 outstanding models

It is increasingly cheap, and we are increasingly paying more than ever to use it

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Every time Chatgpt generates a word, that costs money. But the price of that word generated has not stopped falling since the launch of that model, and the same goes for its rivals. Today we have AI models that are not only more powerful, but also They are cheaper than everand the funny thing is that we are paying more and more to use them. What is happening? Tokens. OpenAI define Tokens as “common character sequences found in a text set.” That “basic unit” of information It is what these models use to understand what we are saying and then process those texts to answer. Every time we use ChatgPT we have on the one hand the request with the text we introduce (input tokens) and on the other the text generated by the chatbot (output tokens). Price per million tokens (dollars) Entrance Exit GPT-5 1.10 10 GPT-4O 2.5 10 O1 15 60 Gemini 2.5 Pro ( 200ktokens) 2.5 15 Claude Opus 4.1 15 75 Claude sonnet 4 ( 200k Tokens) 6 22.5 Price per million tokens. And when we use an AI model, the price of using it is precisely measured how much it costs every million input tokens and every million output tokens. The more powerful a model is, the higher the price of those tokens, and to get an idea these are the prices of some current models. The prices of the output tokens (those generated by the machines) are remarkably higher than those of entry: it costs much more to generate text than “to receive and understand it.” AI models are getting better and getting cheaper. At least, in terms of cost per million tokens. Source: Epoch AI. But prices have not stopped down. Those prices per million input or output tokens, however, have fallen remarkably since ChatgPT (at that time based on GPT-3.5) appeared on the scene. An Epoch AI study March 2025 revealed how the price of inference – generating text, as they do chatgpt, gemini or Claude – has not stopped falling. In some cases the models are smaller and efficient, and also the hardware is also now more profitable, which favors that price drop. And we still pay more and more for using the AI. However, developers who use these AI models to program are realizing that their invoices are increasingly high. These types of professionals have been the ones who have taken advantage of the advantages of this technology, but in doing so they have realized that contradiction. Actually the explanation is simple. Reason spends many tokens. The problem is that reasoning models consume many tokens. This type of technology improves the precision of the answers, but to achieve it the models do not stop “thinking” and generating different theories and then analyzing them and keeping the solution they consider more likely or better. The models that “do not think” and generate text “only once” consume few tokens, but those who “reason” multiply that cost remarkably. The Vibe Coding comes out expensive. The most expensive example of those high costs of AI have it in the “Vibe Coding” platforms. With them it is possible to program almost without knowing how to program, but these tools make an extensive use of the AI ​​models, and there the consumption of tokens (especially those of exit, which are the most expensive) shoot. Several companies in this segment, such as Windsurf or Cursorthey have realized how difficult it is to make money with AIand there are also various users They are warning of those Shot costs In Reddit, for example. And AI agents promise to be very expensive. IA agents are expected to be able to do many things for usbut these systems will be expensive because they will also consume many tokens to understand, “reason” and reach the desired solution. Solution: Use you that do not think so much. Faced with those IAS that “reason” and consume many costs, the alternative is clear: not to resort to the reasoning models and instead opt for models that “do not reason” to reduce costs. These models are much cheaper to use and can be useful for many scenarios. Fortunately, models of efficient and increasingly cheap that reason are also appeared: Deepseek R1 is a good proof of this. The famous router may not be a bad idea. When OpenAI GPT-5 launched He did it with his famous “router” or “router” that analyzed the request and decided on its own what variant of the model (more or less powerful) had to answer the question. As we saw, That router tends to choose to use the “cheap” modelbut that is not a bad idea. Neither for OpenAI (who costs much less processing the answer) nor for users (who also consume less resources and have more free fee for other questions that perhaps need “reasoning”). Image | Levart Photography | IGAL Ness In Xataka | AI agents are promising. But as in Tesla’s FSD, you better not take your hands from the steering wheel

For years the Airbus A380 symbolized European power against Boeing. Today it survives as a colossus without the kingdom

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The Airbus A380 was born as a huge dream, almost a declaration of intentions of the European industry in front of the Boeing’s historical domain. It was the passenger plane bigger in the worldwith two full plants, space for bars and suites, and a silence in cabin that turned the flight hours into a different experience. For Airbus, the program was not just a commercial project: it was the tangible proof that Europe could look in front of the United States in the field of civil aviation, raising a colossus capable of marking a before and after in the heavens. For a while he got it. Each A380 landing turned an airport platform into a show. Thousands of curious people came to see that mole of 73 meters long and 24 meters higha building with wings that imposed only with its shadow. It was a continental pride, an engineering triumph and a symbol of what could be achieved when several countries align resources, knowledge and ambition. However, that same pride soon began to live with an uncomfortable question: how is it possible that a plane that seemed perfect has had such a short tour? The dream of the global hub and the change of the market direction When Airbus conceived the A380, he did it under a clear premise: the future of aviation would go through increasingly saturated Megahubs. His strategy bet on a “Hub-And-Spoke” model in which passengers would come together in large airports and then distribute on connection flights. The A380 was the key piece of that puzzle: a gigantic plane capable of reducing congestion by transporting more than 500 people at once. In theory, the business was solid. Airbus estimated that more than one thousand units of very large capacity aircraft would be sold in the following two decades. But reality was very different: The market was fragmented towards more frequencies and smaller airplanesweakening at the root the argument that justified the European giant. At the same time, the technical revolution changed the rules of the game. The advance of long -range bimoretores, with increasingly wide ethops certificationsallowed to fly virtually any intercontinental route with only two engines. The Boeing 777 and, later, the 787 and he demonstrated that the same autonomy could be offered as a four -way, but with less consumption, less maintenance and greater operational flexibility. That remained attractive to an airplane that, although efficient per seat in high occupation conditions, depended on filling hundreds of places to be really profitable. In a market that preferred more daily flights with smaller airplanes, the A380 began to run out of hole. The infrastructure also played against. The A380 was classified as aircraft F code (65-80 m of wingspan)which forced many airports to invest in specific positions, double catwalks and adapted filming streets. The compatibility manuals of A380 itself They detail those demands. For Hubs like Heathrow or Dubai, those investments made sense; For the rest, they were a difficult expense to justify. Even in prepared airports, rotation times were more complex than with other airplanes, and that remained efficiency against models that could operate with less conditions. Thus, the one who should be the undisputed king of the skies ended up being an exclusive guest in a few airports on the planet. The operational economy did not help either. With occupancy rates close to 100%, the A380 offered a cost per competitive seatbut when the demand went down the model became a heavy load. In addition, its load capacity in the cellar was not as flexible as that of rivals as the 777-300er or the A350-1000, which combined better passengers and goods. In practice, the A380 was a technical prodigy but too sensitive to occupation factor already variables that escaped the control of the airlines. Despite these difficulties, the program resisted thanks to a main client: Emirates. The Gulf airline turned the A380 into its flagship and accumulated more than a hundred units. But that dependency was lethal. In 2019, Emirates drastically reduced his A380 request To bet on A350 and the A330neo. Airbus officially assumed it With a overwhelming statement: without that support there was not enough request for request to keep production alive. The decision was irreversible: on February 14, 2019, the end of the program was announced, and In 2021 the last unit was delivered. The two -storey giant had come to an end with just 251 copies manufacturedfar from the initial forecasts. The outcome left an obvious paradox. The passengers worshiped the A380, their flight experience was unsurpassed and their presence generated expectation where it flew. But the airlines, in general, did not want it in their balances. The liquidity problems in the second -hand market confirmed it: The first A380 returned by Singapore Airlines ended up scrapped for piecesa curious outcome for such a young plane. The outbreak of the pandemic in 2020 seemed to seal the fate of the A380. The majority of airlines sent it to prolonged storage, and some even They announced their final withdrawal. However, the recovery of international demand and delays in the deliveries of new wide fuselage aircraft, such as the Boeing 777xThey changed the script. Emirates invested billions in reconditioning its fleet With new cabins, Lufthansa recovered some units and Qantas, Singapore or Etihad They also reactivated part of their planes. The A380 thus found a second life, although much more limited: it is still useful in high demand routes and in airports with slots problems, but its long -term future remains marginal. The A380 is not the only one to live this transition. The Boeing 747, which for decades was the real “Jumbo Jet”, closed its production line. The difference is that 747 has found a stronger niche in the cargo market, thanks to The Morro Gate of 747-8F and its volume capacity. In passengers, a few units are barely survived in the hands of Lufthansa and Korean Air, but their time also seems told. The relay is already underway: the … Read more

endure the weight of 96 trucks at the same time

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China is the ideal place for the most adventurous engineers. To the country’s taste for huge constructions (as turbines), an extremely complex orography is added that leads engineers to devise extreme solutions to connect the territories. Thus arise infarction tunnels, impossible roadshe longest maritime bridge in the world either gigantic dams. One of its regions, Guizhou, is one that needs a very specific infrastructure to not be isolated, and that is where the New higher bridge in the world. And the fire test before its inauguration has consisted of filling it with trucks. The bridge. A few years ago we talked about Lege bridge over the Beipan River as the highest in the world. It was at that time when 565 meters above the waters. But another bridge was needed on the same river, and the decision was made to build it in the Huajiang cannon. The challenge was capital, due to characteristics that the new bridge should have: Two towers of 265 and 205 meters at the ends. Cables of 9,000 tons each. A total length of 2,890 meters. The vain has a length of 1,420 meters. And what interests us: the road is 625 meters from the ground, reaching the end of the towers at 776 meters. Record time. To visualize the height, Two Eiffel Tower would enterone on the other, under the hanging section, but also supposes the longest hanging segment of the world built in a mountainous area. The works They started In 2021 and in January of this year it was reported that 75% of the project had been completed. The rhythm in recent months has been agile and we are at a point where the main works have been completed. In total, it is estimated that 439,000 m³ of concrete and 49,000 tons of steel have been used these four years. Fire test. And the most curious thing is how those responsible for the work have decided Test infrastructure before the opening scheduled by the end of September. They have used 96 trucks, as if it were a parade, which have been placed online throughout the hanging section for five days. In total, 3,000 tons that add to the rest of the tests that have been carried out in the structure, since many of these constructions in China are executed in areas prone to earthquakes, and the area where the bridge of the Gran Canyon of Huajiang is located is no stranger to earth trembling. In Guizhou, 329 earthquakes have been registered, at least, magnitude four during the last ten years, and that is why the bridge is equipped with sensors that monitor vibrations and structural variables in real time. It is not a whim. In the end, the loading test of that hundred trucks is a more news around the new largest bridge in the world, which is an achievement not only for its height, but for the extreme topographic challenge they have faced. HE esteem that has cost about 280 million dollars and, once open, will cross the canyon In just a couple of minutes when before it took more than an hour. Everything for connect rural areasthis being one of the government’s objectives to improve communications between all regions of the country and that is not only being carried out on land: also in the rivers. The end? Improve all communications to consolidate the ‘New Silk Route‘. Image | CCTV In Xataka | China is moving whole buildings at the same time to build underneath. Because? Because it can

Domotizing with sensors seemed good idea. After several days of testing, Ana has discovered what almost no one tells

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What can go wrong when you try to domote the kitchen and bathroom … even little by little? Well, many things, as you will discover In this new installment of ‘Domotize or die in the attempt’. Ana has proposed to move forward with her connected house, but what seemed a more or less simple installation of sensors It ends up becoming a succession of failed tests, network errors, double -sided tape and various frustrations. In this episode, the goal is clear: protect the water leak house and automate bath lighting, but the process will not be precisely fluid. Nor short. Not simple. Before entering flour, the first logistic obstacle had to be overcome: shipping. One of the packages with the essential sensors had been lost, which kept the entire process in pause. “It seemed that today’s video was not going to arrive, but finally the package appeared,” says Ana, resigned but relieved. With everything already at home, the installation starts: water sensors at key points such as sink or dishwasher, and a first attempt to leave the presence detection system ready in the bathroom ready. What follows, of course, is not a manual installation. Tape, tests and patience: Home automation is taking pace The first sensors to settle were those of water leaks, and the kitchen was the test field. Ana located the three most critical points: sink, dishwasher and washing machine. He prepared to make tests in real conditions. The result was a constant strip and loosen between theory and practice. “It has taken a little more than I expected”, Says after seeing how the sensor does not react instantly to contact with water. From there, homemade adjustments begin. Place the device as centered as possible, trust that it does not move with the passage of the aspirating robot and wait for the time, the time comes, it really works. Everything pointed out that the Valve Controller would be the perfect brooch: a system that, when detecting a leak, would automatically close the passage key. It made sense, it was well thought out and seemed to fit the logic of the rest of the sensors. But when trying to install it, the thing was twisted. Ana discovers that, despite having the pipes in sight, there is not enough space to place the device. “My joy in a well,” summarizes, with a mixture of rage and resignation. The concept was ideal, the impossible execution. It will touch it back. After the reverse with the valve controller, Ana focuses on the other great objective of the episode: install a LED strip behind the bathroom mirror and accompany it with a presence sensor that activates the light automatically at night. It sounds simple, but only in theory. You have to look for the exact placemake sure that you do not activate with cats, find free plugs, and deal with an app that does not want to collaborate. “Ok, great. It’s a bit slow, but it works,” he says when, finally, he gets everything to react … although not quite as he expected. From there, it is time to test, move the sensor, adjust settings and fight with home automation. Will you get it ready? That is another story. After so much effort, Ana manages to launch her night lighting routine in the bathroom. The sensor detects the movement and lights the LED strip … although not always with the desired speed or precision. Sometimes it takes, sometimes it is activated for no reason. “It works, I would tell you that between 85 and 90 % well,” he acknowledges. It is not perfect, but functional enough to keep it installed. Will it end by polishing the failures? Is it enough when they return from the trip? In the video we see how everything has evolved. With part of the system already underway, Ana begins to think about what is coming: a trip, plants, cats … and the terrace, which stays as a pending task for the next chapter. In the next episode we will see how the house prepares for be outwith automatic irrigation system. At the moment, there is something that is still unresolved: the happy water key controller. “I thank you infinite to leave me a comment to see if I can solve it,” he says, leaving the door open to someone having the answer she has not found. And yes, if you want to see how all this ends, The full video awaits you on the Xataka YouTube channel. Images | Xataka In Xataka | The supreme clarifies all doubts about placing gunshot with camera at home. It all depends on whether they record and where it points

We needed more than ever a way of predicting better storms and hurricanes. AI has solved the problem

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Among the areas in which Google Deepmind works, Meteorological prediction It is one of the most precision is obtaining thanks to the refinement of artificial intelligence tools designed for it. And the company has just demonstrated that AI can overcome traditional methods in hurricane prediction. And is that your model Weather Lab managed to forecast more accurately The trajectory and intensity of Hurricane Erinwhich went from tropical storm to Category 5 in less than 24 hours A few days ago. The first real exam. Until now, the meteorological models were a promise. Hurricane Erin became the first real -time fire test for the Google system. During the first three critical prediction, the artificial intelligence model exceeded the official forecast so much of the National Center for American Hurricanes such as several traditional physical models, including the most reliable Europeans and American. How it works. Traditional models are based on complex physical equations that recreate current atmospheric conditions: humidity, pressure, temperature. Google’s approach It is radically different. Its AI has been trained with a massive data set that includes historical weather information of the entire land and a specialized database with details of almost 5,000 cyclones observed during the last 45 years. “They match these long historical data with details about how hurricanes behave and statistically combine them to see patterns that the human eye could not detect,” Explain James Franklin, former head of the Hurricane Specialists Unit of the National Hurricane Center. Why does it matter so much. The precise prediction of hurricanes is vital to know what type of measures are needed to protect themselves from them in case of emergencies. The three to five forecast days are crucial to make decisions about evacuations and preparation measures. In Google’s internal tests With storms of 2023 and 2024, its model managed to predict the final location of the cyclones with about 140 kilometers more precision than the European model (ECMWF), considered the most exact available. Exceptional performance. Franklin stands out The performance of the Google system: “It really surpassed the other guides in terms of intensity. It captured the general form of the change of the life cycle almost exactly. practically without error.” The model not only succeeded in the trajectory, but predicted with surprising precision how Erin’s intensity would evolve throughout his life cycle. Still in development. Despite success, the Google model is not ready for public use. Weather Lab includes a warning that recommends trusting the official forecasts of the National Hurricane Center. However, Franklin It is optimistic About the future: “For next year, you will receive a very serious look and will really play a role in the forecasts that leave the Hurricane Center.” Cover image | Brian McGowan In Xataka | It is no longer necessary to pay to transform our photos into what we want. The latest Google offers it for free for everyone

Imgur’s unfortunate fall

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Imgur’s story starts in 2009 with a very legitimate purpose: to provide the Internet for a space to house images, when websites of that type did not abound. Your innovative vision became a standardand the service grew like essential livelihood of countless online communities. The corruption and reorientation processes of the classic websites of the Internet, however, have ended up affecting it, and now their users are on a war footing. What was needed. In 2009, Alan Schaaf, a student at the University of Ohio, tired of how difficult it was to upload and host images on the Internet, which generated countless problems of usability and disappearance of files. Created imgur as a simple solution for Hosting of images and in its first five months he came to add a million pages seen. For more than a decade, Imgur was the de facto standard to share images, especially in Reddit and other forumswhere you have tired of seeing the call to Imgur when an image disappeared or did not carry. Sustained growth. Imgur prospered as a company: in 2013 I already had ten employees, and in 2014 They had got 40 million dollars of an investment firm and lived from advertising and payment accounts, which included unlimited space of upload and storage. Free users could create albums and edit their multi-way images, in addition to sharing them, thus becoming a great success proto-instagram. The purchase. Imgur faced his first noticeable crisis when in 2016 Reddit began to host the images locally. It was the beginning of the end: they had ceased to be a standard of storage, and when other websites followed Reddit’s example, in 2021 the company was forced to sell, being acquired by mediabwhich caused the company’s exit from the company. Medialab AI also has the genius and worldstarhiphop song lyrics repository, an impact news website, both heirs, such as Imgur, of more innocent and simple times on the Internet. IMGUR shit. What follows is a shitting process (translation of the concept of ESHITTIFICATION from Cory Doctorow of which We have already spoken on other occasions) Book. The shit It is a pattern in which products and online services decline in quality over time due to the influence of large TECH companies and social networks, which follow benefits search processes that deteriorate the structure of the websites and the relationship with shareholders and customers. Following the guidelines of this process, Medialab AI has made a series of decisions that have been denounced by users and employees: Mass dismissals without prior notice Replacement of human moderators: Users believe that moderation is being replaced by unreliable AI systems. Technical deterioration: systematic failures in basic functions such as notifications, rise in images, and others. Users react. The community has responded to this phenomenon with a Block reaction which has caught attention for the use of images (that is, the unity of expression in Imgur) as a form of complaint. Many users have posted a meme by John Oliver raising their middle finger and saying “Fuck you, Business Daddy”. There is also a movement asking for the boycott, asking users not to enter the web on September 1. Currently, the main page overflows in black images with derogatory messages towards Mediabs. They are regular reactions to Degradation of classic Internet sites that we have been seeing for a few years. With Imgur not only an essential piece of that original Internet, but the symbol of a time in which the foundations of social networks were settling, when they were still an honest point of contact between users and not a mere succession of ads, sponsorships and collection of private data. In Xataka | Tiktok, Instagram and X dominated our lives, but now their users are escaping to chat with machines

5.7% unemployment among the best formed

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Some of the main gurus technological In Silicon Valleylike Mark Zuckerberg or Mark Chenhead of Development of Chatgpt, have ensured that university titles They are no longer a guarantee To get a good job in your companies. However, thedata of Eurostat and The last Active Population Survey (EPA) are stubborn and insist on demonstrating that people with higher studies suffer rates from Unemployment lower than the rest. Which invites you to deduce that having a university degree or an equivalent higher degree increases the possibilities of Find a jobeven if you are Overcueled for Work That is going to be done. The value of the university degree. The educational level clearly determines the Probability of finding work. Beyond the decrease in the unemployment rate in Spain that has registered the last report, being at 10.29%, the EPA data They reveal that the unemployment of people with higher studies have a 5.7%unemployment rate, while those who have not finished primary education are around 24.5%. Those who have finished ESO lower their unemployment rate to 11.5%. According The published by The worldthese data also show that unemployment has descended much faster among university graduates during the last decade, currently being at 2007 levels, when unemployment among the best formed workers stood at 5.3%. Europe lives a similar situation. This improvement in the unemployment rate of workers with higher education has not been enough to match the European average that, according to The data Eurostat is 4% during the first quarter of 2025, and remains in third place in countries with the highest unemployment rate in this segment of its active population, only surpassed by Turkey and Greece. It is not something strange considering that the general unemployment rate also occupies that place and Spain is not among the countries with the highest number of Employees with higher studies. According to the published data by Euronewsthe countries with the lowest unemployment figures in the segment of the best formed people are Poland and the Czech Republic, with 1.4%. The young people formed still have problems. Although the situation is especially advantageous for those who have already finished the university, it does not happen the same In all age groups. The highest unemployment rate of this active population segment is among the youngest between 20 and 24 years with 16.3%. This data is an indicative of The difficulties to those who face young people who just end their studies. The figures improve as the age strip is increased and employees acquire professional experience. For graduates between 25 and 29 years, the unemployment rate is set at 9.1%. For those over 30 years of age, it is already below 5%. Soft skills: essential complement. Although statistical data They deny technological gurusthe truth is that, if these higher studies are complemented by the so -called soft skills, the possibilities of finding a job in less time They increase. According to data collected in the Hays Guide of the labor market 2025 elaborate By the consulting firm Hays, 63% of Spanish companies prioritize soft skills, especially In technological sectors. Maintain an open attitude to change, teamwork capacity and know communicate effectively In the professional environment they are considered decisive factors for insertion and labor promotion. In Xataka | Finding had always been a good way to escape poverty: in Spain it is ceasing to be true Image | Unspash (Alvaro Reyes)

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