solution

If you don’t know what to visit when you go through Zamora, Palencia or Ciudad Real, this map is the solution to your problems

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More than half a century after mass tourism began in Spain, the country is among the most visited of the world. Around of 80 million people They arrive in Spain annually, a figure only surpassed by France (+89,000,000). The number is impressive, especially if we compare the scale of its two immediate pursuers, the United States and China. And the reason is simple: 8,000 kilometers of coastline, a wonderful climate and years and years of tourist tradition behind it, with all that this implies in terms of infrastructure. The international nature of the average tourist has caused numerous breakdowns of heads to the authorities during the last years. Spain has tried to attract as many European, Asian or American travelers as possible in a context of tourism recession. During the pandemic parenthesis this was a complicated mission. It was then time to raise the flag of “national tourism”, one that has been flying for two consecutive summers. But what to see in Spain beyond the beaches once crowded by Germans or English? The question has crossed the minds of millions of Spaniards in recent seasons. To answer it, Musement has elaborated this map in which it analyzes the number and quality of scores received by more than 4,500 “points of interest“, that is, attractions and monuments, spread throughout the country. And from this data they have chosen one for each province. An advantage and a problem of this approach: it is useful to know what image the average Spaniard produces when he thinks of places like Palencia or Jaén; but at the same time it summarizes the many positive attributes of each province in a popularity contest. The attractions or monuments numbered here are not necessarily the most interesting, satisfying or beautiful in each place. They are the most famous. It is a personal matter to assess its degree of recommendability. (Musement) If we look at the palette of colors and categories, the north stands out for its large volume of “cathedrals, churches and basilicas.” From the ubiquitous Sagrada Familia of Barcelona to the Santiago de Compostela Cathedralvisiting other highlights of the Camino, be it the Cathedral of León, the Sanctuary of Covadonga, the Cathedral of Burgos, the Co-Cathedral of Santa María de la Redonda or the Basilica del Pilar. Other unique architectural elements sneak in through there, such as Gaudí’s Capricho (Comillas), the Royal Palace of Olite or the Seu Vella. There are also outstanding landscapes: from the La Florida Park in Vitoria to the imposing Ordesa and Monte Perdido National Park, surrounding the Sil Canyons, the Sanabria Lake or the Palentina Mountain Natural Park in between (some of them in the center of what has come to be called Empty Spain). The natural or national parks are the protagonists of Andalusia, starting with Doñana, continuing through Sierra Nevada and ending with Sierra de Cazorla (in Jaén). Otherwise, a little of everything. From urban monuments of very historical rank (the main squares of Salamanca, Trujillo, Seville or Teruel, although in this case “del Torico”; the Hanging Houses of Cuenca) to heritages of civilizations that thousands of years ago forged the present character of Spain (the Roman theater of Mérida, the wall of Ávila, the Aqueduct of Segovia, the New Bridge of Ronda). Also, not surprisingly, there are a lot of fortresses and palaces fortified: from the Peñarroya Castle in Ciudad Real to the famous Alhambra in Granada, passing through the Alcázar of the Christian Monarchs, a surprising winner in the province of Córdoba, also home to the mosque. There is even room for modernity: whether in the form of the City of Arts and Sciences, Dalí’s Theatre-Museum, the Guggenheim Museum in Bilbao, Portaventura or of Loro Parque in Tenerife. A little bit of everything. Not always the most notable thing about each province, but a good way to discover corners of the geography that are still hidden for the Spaniards themselves. In Xataka | The most beautiful towns in each province of Spain, gathered in this revealing map *An earlier version of this article was published in September 2021

Data centers do not want to depend on the conventional electrical grid. Solution: build your own plants

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AI data centers have sparked a new fever: the so-called “bring your own power.” The demand and consumption The pressure these plants impose is so enormous that they do not want to depend on external sources. The solution is theoretically simple, and we are already seeing how when a new data center is built, it is normal for some type of power plant to be built next to it. We are seeing it now. The data centers that OpenAI and Oracle are building in West Texas are accompanied by the creation of a natural gas-based power plant. Both xAI’s Colossus 1 and Colossus 2 in Memphis take advantage of gas turbines. And as they also indicate in The Wall Street Journalmore than a dozen Equinix data centers across the US are powered by stand-alone fuel cells. If the conventional electrical grid cannot be used, nothing happens: you create a power plant and that’s it. The US has an electrical problem. The technology giants would prefer to connect to the conventional grid, but bottlenecks in the supply chain, bureaucracy – permits, licenses – and the slowness in building the necessary transmission infrastructure prevent this. According to the ICV firmThe United States would need to add about 80 GW of new generation capacity per year to keep pace with AI, but right now less than 65 GW per year are being built. There is another direct consequence of this problem: the rise in the electricity bill. Data centers that look like cities. The needs and ambition of AI companies has made data centers become calculation and resource consumption monsters. One can only consume as much electricity as 10,000 stores in the Walmart electronics chain, WSJ estimates. Before 2020, data centers represented less than 2% of US energy consumption. By 2028 they are expected to represent up to 12%. A 1.5 GW data center, for example, would have consumption similar to that of the city of San Francisco, with about 800,000 inhabitants. China has a lot of advantage over the US in this. While the US deal with that lack of powerChina does not stop investing in new energy generation. According to data According to the National Energy Administration, the Asian country added 429 GW of new energy generation in 2024, while the US only added 50 GW. It is true that China has four times the population, but its centralized planning is helping to avoid problems that affect the US electrical grid. The white knight to the rescue. Faced with this shortage, natural gas has become the preferred resource for on-site energy generation. Although large turbines have long delivery times, smaller turbines or fuel cells that use natural gas are being used because of their rapid availability and installation. Renewables lose steam. Meanwhile, things are not promising for renewable energies (solar and wind, especially). There are about 214 GW of new generation theoretically in projectbut spending on such technologies could decline due to the potential loss of tax credits: the Trump administration criticizes that those clean energies do not provide a constant flow necessary for AI. The nuclear alternative. Faced with this apparent decline of nuclear energy, there is a growing interest in compact nuclear reactors (SMR), which allow us to provide the advantages of this type of center and a flexibility that can be very interesting for AI data centers. amazon, Google, Goal either Microsoft They are betting part of their future on nuclear powerbut that It doesn’t mean there aren’t challenges to overcome.. Image | Wolfgang Weiser In Xataka | World record in nuclear fusion: the German Wendelstein 7-X reactor has broken all records

the new and unexpected solution against baldness

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Androgenic alopecia, better known as male or female pattern baldness, is one of the most common causes of hair loss all over the world. The most common treatment is the use of topical minoxidilbut it is not a great miracle either because its effectiveness is limited by many factors. Now a group of researchers they have found a solution quite unexpected in the sweeteners that we use on a daily basis to make the treatment more effective. The problem. As we say, topical minoxidil can be affected by the simple fact of have a low solubility in water, making it very difficult for it to pass through the skin. This means that alcohol has to be used as an excipient in the treatment, which generates other side effects such as itching. That is why the study published in the prestigious magazine Advanced Healthcare Materials reveals that the stevioside (STV), a natural compound extracted from the plant stevianot only dramatically improves the absorption of minoxidil, but can be used to create a much more effective delivery system. A sweetener. The scientists’ idea was to use stevioside for its dual function. On the one hand, as a powerful agent to dissolve minoxidil (MXD) and, on the other, as the main material to manufacture an innovative microneedle patch that can later be used in the presentation of the medicine. As. Stevioside is an amphipathic molecule, which means that it has a part that attracts water and another that repels it. This property is very important to be able to create small spheres that are called micelles in an aqueous solution, creating a core where poorly soluble drugs such as minoxidil can comfortably lodge. To understand it, it acts as the ‘vehicle’ that minoxidil uses to cross customs, which are our biological membranes. And the results of the research have been quite good. The study found that stevioside increased the solubility of minoxidil by up to 47 mg/ml, which is approximately 18 times higher than that of minoxidil alone. Microneedling. To overcome the skin barrier, the researchers designed a patch with soluble microneedles made from the mixture of stevioside and minoxidil itself. These microneedles, invisible to the naked eye, painlessly penetrate the outermost layer of the skin and dissolve, releasing the drug directly into the area where the hair follicles are located. This is much better than using it topically with a spray where we have that problem of it not penetrating. Applying. In this way, we have a much more precise application method that also avoids the effects of having to use a metal microneedle. In the laboratory, it has been seen that a release of 85% of the drug and a retention in the skin of 18% is achieved in 24 hours. These numbers far exceed the results achieved with a traditional topical application with an alcohol solution where retention is only 2%. And this is the key for the drug to act in the hair follicle for a longer amount of time before it is metabolized. Put to the test. To see the potential of this new application of the treatment, the test was done on animals in the laboratory. To do this, the animals induced alopecia in the mice and received treatment with the microneedle patch compared to the standard minoxidil solution and a control group. As days passed, the group treated with the stevioside and minoxidil patch showed significantly more hair growth. Specifically, after 35 days of treatment, the area treated with the patch had 67.5% new hair coverage. In comparison, the conventional minoxidil solution only achieved 25.7% coverage in the same period. But it doesn’t stop there, since it was also clearly seen that the patch was much more effective in reactivating the hair follicles to quickly move into the growth phase. A new way. Although human studies are still needed to confirm these findings, this research opens a completely new avenue to combat alopecia. A natural, safe sweetener already approved for consumption could be the key to developing a new generation of hair treatments that are more effective, comfortable and with fewer side effects. Images | Gustavo Sanchez In Xataka | The great promise of science to end baldness is not a transplant or a medicine: it is a vaccine

the company believes it has the solution

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Google just launched Gemini Enterprisea comprehensive AI platform designed specifically for businesses. The movement makes sense, since there is a whole barrage of tools based on generative artificial intelligence that have landed in offices, thanks in large part to companies like OpenAI or Anthropic. The first of them already boasts of its 5 million users with the ChatGPT plan for business and Anthropic has already closed agreements with giants like Deloittewhich Claude will deploy to its 500,000 employees worldwide. Google does not want to be left behind in the race to dominate AI, so it is time to see if its platform convinces. Google’s bet. Gemini Enterprise is not another Workspace addition or a cosmetic name change. It is an independent platform under Google Cloud that works as a toolkit for companies to create and deploy their own AI assistants. Google Cloud CEO Thomas Kurian has described as “the new gateway for AI in the workplace.” Image: Google What exactly does it offer?. The platform promises several key tools: access to the latest models Gemini 2.5 Pro and I see 3pre-built Google agents like Deep Research and Data Insights, a no-code workbench for any employee to analyze information and automate processes, and connectivity with business data hosted in Google Workspace, Microsoft 365, Salesforce or SAP. All managed from a centralized framework that allows agents to be audited and secured. The differential factor. While its rivals also offer business solutions, Google prefers to go for more complete integration. According to the companythe platform can connect to both internal systems and more than 100,000 external partners, from Box to Slack to S&P Global. Google ensures that it also includes specialized tools such as data automation and exploration agents, useful for eliminating a multitude of manual processes. Real use cases. Google has announced some clients that already have Gemini Enterprise in their systems, such as Virgin Voyages, who claim to have deployed more than 50 specialized agents on the platform. Clients also include software design firm Figma and installment payment platform Klarna, among others. According to a study McKinsey’s recent report, in certain cases, integrating AI agents into workflows can increase productivity by between 20% and 60%, figures that are certainly attractive for companies. Prices. Gemini Enterprise Standard and Plus, designed for large companies, starts at $30 per user per month in annual plans. For small businesses and startups there is Gemini Business, which costs $21 per month per user and includes a 30-day free trial period. Cover image | Solen Feyissa and Alex Dudar In Xataka | A consulting firm scammed Australia with a report made with AI. The problem is that the AI ​​invented the sources and even the quote from a judge

Chinese hypermarkets are in crisis and have found the solution: follow the Mercadona model

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The golden age of Chinese hypermarkets is coming to an end. With the economy stepping on the brake, these mastodons are in a tighten and desperately seek new formulas to hook consumers who look more at the pocket. In this new panorama, the solution seems to be betting on the strategy that Mercadona dominates perfectly for years. What’s happening. The great Chinese supermarkets are having You would be difficult to survive. In recent years, Carrefour has closed more than 140 stores, Tesco has disappeared and last year the main leading hypermarkets had Important losses. With The economy in decelerationChinese consumers are more cautious when spending and that is causing the main chains to change their strategy drastically, as reported in Bloomberg. The Mercadona model. Many neighborhood stores and more white brands, this is how some Chinese giants are adapting to this new era. The own brands were not usual in China, but currently they take more and more space in the halls of the main chains. In addition, they are beginning to change their store strategy, favoring the proximity of smaller stores instead of hypermarket that forces us to move by car and plan a larger purchase. Adapt or die. Chinese hypermarket chains are transforming with smaller formats and their own brands. Walmart, with its stores proximity to Lo Carrefour Express and its MarketSide brand, is a good example of this trend. The Wumart Group has launched Six stores with discounts in Beijing and FreeShyppo, from Alibaba, already has more than 300 stores under its cheap chaopa brand. Approximately 60% of the products found in these stores are white brands. This strategy responds to the search for savings and convenience by the consumer. The Pangdonglai case. It is a Henan supermarket that has achieved viral success. Its strategy is based on exceptional customer service, good treatment of unique employees and services such as ticket offices with dog water and personalized preparation of the purchase basket. But the main secret of their success is that they have placed their profit margin in 30%, which allows them to keep low prices all the time, without having to resort to specific promotions. Despite having been born in a smaller city, its model is so influential that Yonghui Superstores, the fourth chain of China, is reforming its stores following its example. Image | Wikipedia In Xataka | The US studied what would happen if it enters war with China. Now he has started a career desperate to double missiles

Data centers for AI are an energy hole. Jeff Bezos’s solution: Build them in space

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In the next two decades we will see data centers at Gigavatio scale orbiting the Earth. Or at least that is the prediction that has launched The founder of Amazon and Blue Origin, Jeff Bezos. He said it during his speech at the Italian Tech Week in Turin, where he was able to establish conversation with John Elkann, president of Ferrari and Stellantis. Bezos’s proposal. Space data centers would take advantage of solar energy 24 hours a day, cloudless, rain or night cycles that interrupt the supply. According to Bezosthese “giant training clusters” of artificial intelligence would be more efficient and, eventually, more economical than terrestrial facilities. “We can exceed the cost of land data centers in space in the coming decades,” he said. Why now talks about this. The infrastructure demand for AI is becoming a large hole for the planet. Current data centers consume massive amounts of electricity and water to cool its servers, a problem that is aggravated with each new artificial intelligence model. Given this pressure, large technology explore alternatives: from Locate them in ships o Nordic countries until sink into the ocean. And of course, if we have capacity problems on Earth, some technological ones already think about taking the letter to send them to space. The technical advantages. In space, temperatures range between -120 ° C under direct sunlight and -270 ° C in shadow, which would greatly simplify equipment cooling. Constant solar energy would eliminate dependence on land electrical networks. Bezos places this development as’Natural evolution‘of a process that has already begun with weather and communications satellites. “The next step will be the data centers and then other types of manufacturing,” he explained. The real challenges. As they point out from Tom’s hardwarebuilding a spatial data center of a Gigavatio would require solar panels that would cover between 2.4 and 3.3 million square meters, with an estimated weight of 9,000 to 11,250 metric tons only in photovoltaic material. Transporting all that equipment to space would cost between $ 13,700 and 25,000 million with current technology, needing more than 150 launches. To this is added the difficulty of maintenance, updates and the inherent risk of space releases. Parallelism with AI. Bezos compared The current moment of artificial intelligence With the bubble Puntocom of the early 2000s. “We should be extremely optimistic about the social and beneficial consequences of AI,” he said, although he warned of the possibility of speculative bubbles. His message: Do not confuse possible excesses of the market with the reality of technological advances, whose benefits consider that “they will spread widely and reach everywhere.” When It will be done reality?. Bezos places the temporary horizon “in more than 10 years, but no more than 20”. Today, the project is commercially unfeasible, but its vision starts from the premise that the launch costs will continue to go down and the technology will mature. It remains to be seen, after two decades, part of our digital infrastructure is in orbit, beyond the existing one. In Xataka | Nvidia has control of the most powerful chips of AI: OpenAi, Broadcom and TSMC want to end their XPUS

An AIM-9X missile cost a million dollars to tear down a Russian drone. Ukraine has found the solution for 2,000 dollars

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For Moscow, the Shahed drones They have been a cheap and scalable resource to wear out the Ukrainian defenses, first thrown into small batches and later in waves at greater heightoutside the reach of machine guns and cannons. For kyiv, the challenge has been not only to neutralize those swarms, but do it Without ruined: Each Shahed forced to shoot missile prices missiles, a long -term ruinous equation. This cost asymmetry forced Ukraine to accelerate innovation giving rise to a new air defense paradigm. The birth of something new. In the heavens of Ukraine an unexpected weapon has emerged against the incessant waves of Russian drones: the low cost interceptors Designed in Kyiv. Among them stand out The stinga projectile quadcopter capable of exceeding 315 km/hyred to destroy shaheds and gerberas in flight. Its tiny silhouette and acute sound contrast with the great traditional anti -aircraft systems, and their initial success (with hundreds of enemy drones demolished in a few months) demonstrates that it is possible to neutralize mass threats with fast and cheap solutions. Companies Like Wild Hornetsin collaboration with the Brave1 government platformThey have turned accelerated innovation into the country’s aerial survival axis. The cost war. The great challenge is not just technician, but economic. A Shahed drone costs $ 35,000, while The AIM-9Xused by systems Like Nasams To tear them down, it exceeds million per unit. This imbalance placed Ukraine already its allies in a clear financial disadvantage: each interception was tens of times more expensive than the Russian attack itself. The stinghowever, costs just $ 2,100 and acts as a suicide drone when impacting directly against the objective. The difference is abysmal: by the price of a single AIM-9x they can be manufactured Almost five hundred stinga proportion that explains why Kyiv considers its massive deployment vital to resist bombings of up to 800 drones in a single night. Accelerated innovation. The Ukrainian advantage does not only reside in the unit cost, but in the Radaptation apidity. Each new model responds to the last Russian tactic, either Shaheds to greater altitude, more numerous swarms or reaction versions. Engineers have gone from cannons and machine guns on land interceptors capable of operating partially autonomouslyand even experiences with totally automatic systems that detect, pursue and destroy without direct human intervention. This daily iteration capacity, fueled by the Front feedback, has turned Ukraine into a War laboratory unprecedented aerial. Europe and the lesson. The recent incursion of 21 Russian drones in Poland forced F-35 to deploy that used missiles of very high value to demolish just four devices. The episode has triggered European interest in Ukrainian solutions, which offer A “Drones Wall” much cheaper and scalable than any traditional system. German companies and other countries already Test interceptors Inspired by kyiv, aware that their current defenses are not prepared for cheap and massive waves. For Europe, the lesson is clear: the aerial defense of the future cannot be based on shooting millions from millions against objectives of a few thousand. New paradigm. The irruption of interceptors Like Sting It reflects a paradigm shift. What was previously resolved with very expensive static and arsenal systems now requires flexible, economical and serial solutions. Ukraine, pressured by the urgency of surviving, has made its way Towards a model in which the cost, speed and constant innovation weigh as much as pure technology. If you get displayed Thousands of daily interceptorsnot only will it reinforce its immediate defense, but it will have seated the foundations of a new military approach that will force NATO to rethink their strategy and to abandon the logic of the “Millonada” worn in each missile in front of an enemy that bets on the saturation and wear. Image | Wild Hornets/Telegram In Xataka | In a crucial Ukraine agreement he has given the US his best weapon. In return he has received something unpublished: a map to knock Russia In Xataka | Something has gone out wrong in Ukraine. So much, that the drone war has reached the most unexpected place: Türkiye

A Microsoft Data Center in Mexico collided with the reality of the electricity network. Your solution: use gas generators

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Artificial intelligence has become daily, but behind each consultation to tools such as Chatgpt either COPILOT There are real buildings that consume a lot of energy and require reliable infrastructure. In that framework, Microsoft announced May 7, 2024 The beginning of operations of its “Central Mexico” data centers region, with several locations in the Querétaro Metropolitan Area. The deployment, however, coexists with very specific tensions: According to the companyat least one of those centers, that of Columbus, cannot benefit from the advantages of the electricity network until mid -2027 and obtained permission to temporarily operate with gas generators. It should be remembered that the proximity of these infrastructure to users is essential: it reduces latency, improves the quality of the service and allows to meet data residence requirements. But that technical advantage depends on something elementary: having an electricity grid capable of sustaining permanent operations and constant cooling. Microsoft stressed the magnitude of its project in the North American country. The new region aims to offer local access to Azure, Microsoft 365Dynamics 365, among other services. The firm also presented the initiative as an “avant -garde” infrastructure aimed at accelerating innovation in the region. The Achilles heel of deployment: energy In a request to the Ministry of Environment delivered in 2023Microsoft acknowledged that, although the data center would connect within the planned deadlines, due to the construction deadlines included in its contract with the Federal Electricity Commission, the energization of the connection would not be ready until the Second quarter of 2027. To save that void, The use of seven generators was approved capable of covering 70% of the demand of the center of Columbus for 12 hours a day, for at least four months. According to Rest of World, Mexico already has about a hundred data centers, with investments that exceed 7,000 million dollars from 2020 by Microsoft, Aws and Google. Querétaro has established itself as the main attraction pole, with 15 facilities that concentrate about 80% of the sector’s energy demand, about 200 MW. The Mexican Institute for Competitiveness projects thatby 2030, the network will face a deficit of 48,000 MWh, more than half of what it produced in 2023. With more than 70 new centers planned in the next five years, the mismatch between installed capacity and electric transmission becomes an obvious threat. The American company has set ambitious environmental goals: Being negative carbon in 2030, eliminating all its historical emissions in 2050 and supplying 100% with renewable energy contracts in 2025. In contrast, in Columbus is the provisional measure of operating with gas generators until it can be fully connected to the network in 2027. What It is not clear is whether these equipment were usedif they remain in operation or what intermediate solution the company will apply in the coming years. Microsoft, for now, has not specified with which energy sources Opera Colón. The launch of the Central Mexico region was presented as a decisive step to accelerate the country’s digital transformation and attract foreign investment. But energy reality introduces a decisive nuance: the infrastructure necessary to sustain that deployment does not advance at the same rate as the technological ambition. The tension between promises of sustainability and limitations of the network is a reminder that the cloud, far from being ethereal, rests on concrete foundations, cables and megawatts that define, in a way, how far artificial intelligence and other services can go. Images | Microsoft (1, 2) In Xataka | This nuclear reactor is different from everyone else. It has been expressly designed for data centers

“Young people don’t want to work here.” The solution to the problem was there since 1914

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Henry Ford was not only A bold businessman which founded an automobile empire, was also the cornerstone that Revolutionized cars manufacturing and a strategist of the economy. For this reason, it is not strange that Jim Farley, the current CEO of Ford, found in the founder of his company the inspiration to solve a serious labor problem. As Farley himself told during An interview With the writer Walter Isaacson, Biographer of Steve Jobs and Elon Musk, who during the 2019 union negotiationshe visited some brand factories to directly ask his employees. The CEO confessed to Isaacson that the most veteran told him: “Young people do not want to work here. Jim, you pay 17 dollars an hour, and they are very stressed.” As Farley explained during their interview, the workers told their boss that the new workers, most of them temporary workers, worked for eight hours at Amazon or other works, and then making their turn in Ford sleeping just three or four hours to be able to come to the end of the month due to precarious salaries. A decision inspired in 1914 The Ford template was in a complicated situation since the low wages were moving the youngest, who preferred other ways to obtain a sufficient salary to livewhile the average age of Ford’s fixed personnel was increasing and the vacancies that were leaving They were not covered. In this critical context, Farley decided to pull internal newspaper library and look at what Henry Ford himself did more than a century earlier. The legendary founder of Ford doubled in 1914 the daily salary of the operators at $ 5 per day, much more than average at that time. Ford did not upload the salaries of its employees for a sudden goodnessbut with a very clear logic: “I do this because I want my factory workers to buy my cars. If they earn enough money, they will buy my own product,” Henry Ford confessed. According to Farley, applying this measure “was not easy. It was expensive. But I think that is the type of changes we need to implement in our country.” As a result, the company made temporary workers full timewhich allowed them to access higher wages, participation in profits and better medical coverage. In addition, temporary workers managed to reduce the time they should be working for Ford before opting for fixed job. The objective of the measure implemented by the current CEO of Ford is exactly the same as Henry Ford’s in 1914: ensure a stable, well formed template and be able to retain the best talent to improve the productivity of its assembly lines. Not only is money, it’s also training Despite the salary improvements that were signed in Ford, Farley was convinced of the need to have a good professional education for young people. According to published Fortunein the next decade about four million operators will be needed for the manufacturing industry as the current operators are retired. This scenario is not exclusive to the US. In Spain the demand for qualified labor He shoots In sectors like construction or the renewable energies And there is not even enough young people to cover itnor have they necessary training. “In Germany, all the operators of our factories have an apprentice from high school and each position requires about eight years of practical training,” said Farley, who was convinced that this model ensures the generational relief and quality of the staff. In Xataka | If the question is whether having a university degree improves the employment situation, the data leaves us a figure: 5.7% unemployment Images | FordUnspash (THISISENGINEING)

When you are openai and you can’t buy enough GPU, the solution is obvious: manufacture yours

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Openai will create its own artificial intelligence chips. It is a crucial decision for the future of your business, but the ally you have chosen to do it: Broadcom. When the river sounds. The runrún has been listening Since the beginning of 2024. Nvidia, owner and lady of the segment of the AI ​​accelerators, was an ally too powerful for OpenAi. The solution was clear: develop its own chips with which to minimize that dependence. Broadcom takes chest. Hock Tan, Broadcom CEO, yesterday told investors that the company had closed an agreement with a mysterious client that would invest 10,000 million dollars in AI chips. Although Broadcom did not reveal the client’s name, sources close to those agreements indicated In Financial Times that this client is none other than OpenAi. Neither Broadcom nor this last company have confirmed the data. Xpus to power. Those chips, to those who referred as Xpus, are a kind of specialized and personalized variant of the NVIDIA or AMD accelerators. We have the perfect example in the TPUS (Tensioner Processor Units) that Google presented almost a decade ago And that has been improving generation after generation (we are already going for the seventh generation, called Ironwood). Broadcom, by the way, has collaborated in the development of these Google chips, so it has overdue experience in that area. Own chips for internal use. According to sources close to this collaboration, Openai aims to use these internal AI chips, and there are no plans to offer them to external clients. That reinforces the theory that Openai wants to create data centers with these own chips to avoid (or at least mitigate) the dependence of Nvidia. Nvidia will have (a lot) competition. Nvidia dominates Iron fist This segment, but has long for the rivals – both in the West as in the East – work to make their monopoly in this sector disappear. Microsoft He has MaiaAmazon His trainiumGoogle its aforementioned TPU and AMD of course Your instinct. To goal It is about it. But Cuda remains the “Moat” of Nvidia. Of course the true key to Nvidia overwhelming success is not so much in its chips and in the fact that its architecture CUDA is de facto standard In this market and all AI systems developers usually base their projects on that platform. It is the “Moat” of Nvidia, that “pit” that allows you to protect its “castle” from the rivals and continue dominating the market. And here there are also attempts to avoid the dependence of the company, and among them Those from China stand out. And TSMC, what? The funny thing is that for months it seemed that The ally that Openai had sought To carry out this project was the most important semiconductor manufacturer in the world, TSMC. Earl this year that collaboration It seemed to go on the right track and several sources pointed out that we would have the first OpenAI GPUS for 2026. It may simply have chosen to have a plan B (TSMC) to avoid its dependence on NVIDIA, but also prepare a C (Broadcom) plan. Image | Qualcomm In Xataka | China’s self -sufficiency test in chips for AI is already here: it has not bought Nvidia or a single H20 GPU in the last quarter

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