data

Openai and Oracle prepare a brutal data center with 2 million chips for ia

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The plan ‘Stargate’ It is the great bet of the government led by Donald Trump to keep the US at the head of development in artificial intelligence (AI). When this project was made public on January 22, it hit the economic endowment that would make it possible: nothing less than 500,000 million dollars. This money will leave the coffers of the Japanese investment group SoftBank; of those of OpenAI, the creators of Chatgpt; of those of Oracle, and, finally, it will also be provided by the investment firm Emiraratí MGX. These companies will support the construction during the next four years of an advanced network of data centers that will house the high performance computing infrastructure necessary to sustain US leadership in the AI field. The spearhead of these facilities is already being built in Texas (USA), in a town called Abilene. And it is colossal. In fact, this first data center of the ‘Stargate’ project will bring together, According to OpenAimore than two million chips for ia. 4.5 GW Dan for a lot When the US government announced to Bombo y S pay this plan left a great question open: how did he plan to solve the supply of electricity required by the new facilities? Large data centers for AI consume a lot of electricity, which has caused Some technology have opted for investing in nuclear centrals to guarantee the supply of electricity that these facilities require. Oracle began to install the first ‘racks’ with NVIDIA B200 platform servers in June At the moment this question is not completely resolved. And it is not because the ‘Stargate’ infrastructure should be completely ready before President Trump’s current mandate expires, and a new nuclear power plant can hardly come into operation in four years. Even so, Openai and Oracle have formalized A few hours ago they have reached an agreement to build the necessary infrastructure to Deliver additional 4.5 GW to your data centers. Interestingly, SoftBank does not participate in the financing of this expansion, although, as I mentioned a few lines above, it does in the ‘Stargate’ project. According to OpenAia part of the gigantic Abilene data center is already in operation. In fact, Oracle began installing the first racks With platform servers B200 of NVIDIA In June. It is surprising that in just six months a part of this installation is already active, but it is important that we do not overlook that the Abilene data center seeks to demonstrate that the ‘Stargate’ plan is viable within the deadline that those responsible have promised. Anyway, in this equation there is another unknown that also has a lot to say: China. “We hope that China significantly increase its investments in AI and semiconductors in response to the US domain in AI,” CBM consultancy analysts foresee. It makes sense. These two great powers world supremacy are being disputedso it is understandable that each significant step that give one of the two Receive a more or less overwhelming answer from the other. We can be sure that 2025 will be an even more agitated year than 2024 in the geopolitical and technological fields, so we will be attentive to the steps that US and China will surely give. Image | Christina Morillo More information | OpenAI In Xataka | Huawei attacks Nvidia positions in China: he wants to have dominant hardware in inference processes in AI

They already use a mixture created by algorithms for their data centers

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Goal has used a concrete mixture designed by algorithms in one of its data centers. According to the companythis formula promises to be more sustainable, faster to apply and has been developed with open source tools. With this approach, not only is it sought move towards zero emissions: Also accelerate the construction of infrastructure that grow to time, As the data center that is raising under provisional structures demonstrates. Invisible concrete weight. Few materials are as omnipresent as concrete. It is used on roads, bridges, homes … and also in data centers where a good part of our digital life is housed. The problem is that manufacturing its components, especially cement, generates a huge amount of CO2. The World Economic Forum indicates that It represents about 8% of global emissions. Goal has proposed to reduce that footprint without compromising the resistance or work speed. And that’s where his new model enters. An AI that does not create chatbots, but mixtures. To develop this system, goal was allied with Amrize – One of the world’s largest cement manufacturers – and with the Urban-Champaign University of Illinois. Together they have created an AI model that proposes concrete compositions. The model is based on Bayesian optimization And it is built with Botorch and AX, two open source tools developed by the goal itself. A slab test in the Rosemount Data Center The challenge was not minor: each mixture involves combining different types of cement, aggregates, water, additives and supplementary materials such as scum or flying ashes. The exact proportion, its origin or even the time of the year can alter the result. Traditionally, they explain, validate a new formula has been for weeks. With AI, this process accelerates because the system learns from the previous data, proposes new promising combinations and refines its predictions after each test. Implementation of the concrete formulation generated by AI in the data center From the laboratory to the field. One of the first large -scale validations was made in the data center that Meta builds in Rosemount, Minnesota. There, the contractor Mortensen applied the new mixture in one of the building’s support slabs. The objective was not only to check its resistance, but also its workability and the final finish: these slabs must be perfectly smooth and durable. The result, according to the firm, exceeded all technical standards. The formula designed by AI not only met the demands of resistance and cure, but also behaved well into work: it was poured without problems and offered an adequate surface. After two iterations, and with minimal human adjustments, the model had generated a recipe that improved the usual industrial formulas in speed, resistance and potential for emission reduction. An open model. The system developed by goal is not a commercial product or a closed tool. The company has published the code, data and technical approach in An open github repository called SustainableConcrete. The idea is not to keep the formula, but share the method: a way of applying artificial intelligence to concrete design that can adapt to other works, suppliers or materials. Touch wait to know if we will see more initiatives like this. This could facilitate the adoption of alternative mixtures in a variety of constructions. As we have seen, goal has not invented a new material. What he has done is to use AI to find new concrete formulas. Images | Xataka with Gemini 2.5 Flash | Mark Zuckerberg | Goal (1, 2) In Xataka | Nvidia says that China has the best open source AI in the world. These praises have a very clear intention

You are building a Data Center in Tents

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Mark Zuckerberg already has the galactics he needed for his Superintelligence team. Getting talent was only part of the plan. The other is what to do with him, and putting it to work requires one thing: computational power. The goal has been in a hurry and, while progressing in different directions, it has begun to build data centers in outdoor tents. As amazing as it sounds. In the finish line they are marking their own rhythm to lift data centers. Given the emergencies that have entered them to add computational capacity, they needed to build data centers as quickly as possible, and the shortcut has been to build them in outdoor tents. This is something that confirmed Business Insider A company spokesman. That they are doing it does not mean that it is common: it is not about adding power without more, but doing so that the integration of the equipment does not put at risk the energy and cooling sustainability of the system. It is surprising that they will use tents, especially in summer, given The difficulties they add to heat management. Zuck making Musk. Zuckerberg’s measure reminds another rival in the race for winning artificial intelligence, and is not accidental. Elon Musk already made the madness of installing 100,000 NVIDIA GPU in 19 days, something with which Jensen Huang hallucinaba himself. In SEMIANALYSISthe first means to reveal the pharaonic finish lines, said that the design of the finish lines is influenced by the speed with which Musk has operated in XAI and in Tesla. Facebook in its beginnings was the company that led the “Move quickly and break things“And now shows that philosophy is still alive, as in OpenAi. The great plan. While finishing tents, Mark Zuckerberg announced They were going to “invest hundreds of billions of dollars in computing to build superintelligence.” In practice, he mentioned the construction of two mega data centers. The first will be Prometheus, which they intend to use since next year. Second, they will build ‘Hyperion’, with which he presumes that he will have A size similar to Manhattan and a capacity of up to 5 gigawatts over the next few years. The tents are provisional until they reach the fixed power they pursue. For contextualizing the numbers, in SemiSalysis Remember that, so far there is no Clusters NVIDIA H100 and H200 operations of more than 200 megawatts. Why so much haste. The context is everything. Goal was very well positioned in the artificial intelligence career, despite the fact that its great commitment of the decade was metaverso, where I was burning huge amounts of money. However, everything changed with flame 4. The last great language model of the company not only disappointed in its principlesbut has been overshadowed by such powerful competition as O3, Claude 4 either Gemini 2.5 Pro. In the finish line they are so aware of the lost competitiveness that His artificial intelligence by default to program is Claude. Yes, above Code flame. In any case, investors do not seem worried about The spectacular goal stock cycle. Having the best thing will be much more than talent and models. The goal plan to put the head of artificial intelligence shows that the race will have many legs. First, Zuckerberg has done with the talent of his great rivals. In second place, acquiring de facto Scale aihave ensured to have quality data. But it is not enough. Access is needed to a brutal calculation capacity, which will obtain with the aforementioned data centers. And that is where the race also becomes energy: goal goes launched by nuclear energyreaching nuclear AT THE CLOSURE. And goes further, with the construction firm of a plant that will use a technology focused on Take advantage of underground heat without leaks. Images | Mark Zuckerberg | Goal In Xataka | We have calculated how much money the Big Tech are being spent on data centers. The numbers are dizzy

Japan destroys the data transmission record again with 1.02 petabits per second. The impressive has been the distance

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Japan has established A new record World Cup in data transmission per fiber optic, sending information to 1.02 Petabits per second through 1,808 kilometers away. The achievement, achieved by a joint team of Electric Industries Summit and the National Institute of Information and Communication Technologies (NICT) From Japan, it marks a new milestone in long -distance optical communications. And best of all: it has been achieved with fiber optics compatible with any device. The key technological jump. The advance does not reside solely in speed, but in the distance traveled maintaining a standard cable diameter. The previous records in speed Pure had reached 1.7 Petabits per second, but only covered 63.7 kilometers. This new brand multiplies by 28 the distance without increasing the thickness of the cable, bringing technology to real commercial applications. Image: Ispreview How it works. The system uses an optical fiber of 19 nuclei integrated in a cable with standard coating diameter of 0.125 millimeters, the same as the current fibers. Instead of a single beam of light, the fiber transports 19 parallel signals taking advantage of both the C and L bands of the optical spectrum. Electric Sumitomo optimized the structure and disposition of the nuclei to minimize losses, while NICT developed amplifiers capable of simultaneously enhancing the signals of all nuclei. Dimension of achievement. To contextualize the magnitude: 1 Petabit is equivalent to 1,000 terabits or 1 million gigabits per second. Compared to The average broadband speed in Spain (which is usually around 250 Mbps), this record is approximately 4 million times faster. At this theoretically, 10 million 8K video channels could be transmitted simultaneously. Or download the entire Netflix library in seconds. Practical implications. The record establishes a new standard within the framework of “capacity-duty” (1.86 exabits per second-kilometer) using standard diameter fiber. This means that future networks could exponentially multiply their ability without changing the existing physical infrastructure. Intercontinental submarine cableslike those that connect Europe with America, they could benefit from this technology, although at greater distances (more than 5,000 kilometers) the speeds would be lower but still impressive. The way to commercialization. Although these advances will not immediately reach domestic connections, they do mark the future of long -distance communications. The team now works on improving the efficiency of amplifiers and signal processing to bring technology closer to its real implementation. Global Internet traffic grows, but it’s nice to know that the optical fiber and the form of the cables we use today, they are still enough to evolve in this field. Cover image | Kirill Sh In Xataka | Mobile’s internet is going wrong: what can you do when you don’t have a connection

China has the ability to stop the construction of new AI data centers. It is a nightmare for the US

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During the last two years The Chinese government has fought The US sanctions and its allies resorting to a strategy that has proven to be very effective. China controls the production and processing of several critical minerals For semiconductor industries, renewable energies or electric car, among other sectors, which has led to the administration led by Xi Jinping to regulate its export in a very strict way. In early December 2024 He chose to prohibit The export of some critical minerals to the US, among which were three essential metals for the chips industry: Gallium, Germanio and Antimony. Shortly after the Chinese government added two more critical metals to its list of export restrictions: Scandio and Disposio. However, there is a much less exotic chemical element than those I just mentioned the one that is barely talking. China also controls it and is using it to put the US against the strings. Bismuth is a fundamental metal for the global technology industry Although it is not monopolizing as many headlines in international media as rare earths, bismuth (BI) is an essential chemical element not only for the integrated circuit industry, but for the entire global technology sector. It is a whitish, crystalline and relatively fragile metal that acquires a pinkaceous tone when coming into contact with the air. It shares some physicochemical properties with lead and tin, but it has a distinctive characteristic that has helped it be erected as the essential metal that is: it is much less toxic than other heavy metals, such as lead. However, this is not at all its only quality. In addition, it is the most diamagnetic metal, so when introducing it into a magnetic field it is repelled very weakly. On the other hand, its electrical resistance is high and its thermal conductivity is very low. Interestingly, the only metal that has even smaller thermal conductivity is mercury. And its melting point is relatively low (about 271.3 ° C), while Its boiling point touches the 2,000 ° C. Finally, the bismuth has another very unusual property among the metals that are worth not overlooking: when it solidifies it expands. The bismuth is an essential metal thanks to its intervention in welds and the tuning of thermoelectric materials If we had to stay with only two characteristics of all that we just reviewed the chosen ones would be their low toxicity index and their ability to expand when solidified. In fact, these properties largely justify their use in industries that have a strategic role for many countries, such as chips, consumer electronics, renewable energy or electric car. Although it participates in a wide range of applications, the bismuth is an essential metal thanks to its intervention in the welds and the tuning of thermoelectric materials. For many decades the metal usually used in welds was lead, but it has an important problem: it is very toxic. Gradually this metal has been displaced by the alloys of bismuth and tin, which are much less toxic, and, in addition, They have a very low melting point. In fact, these alloys have a leading role in the manufacture of flexible substrates, printed circuit plates and all kinds of electronic components. On the other hand, thermoelectric materials allow generating electricity taking advantage of temperature and vice versa differences, so they are very important in the development of efficient cooling systems. China is currently the largest world producer in bismuth. In fact, control between 80 and 84% of the supply of this metal, so the global distribution chain is in your hands. Only in 2024 this Asian country produced 13,000 metric tons of this chemical element, while outside the borders of China, only 3,000 more tons were refined. This essentially absolute control has led to the Chinese government to drastically restrict Bismuth export with the purpose of responding to the sanctions of their rivals. In the US, some technology companies are already against the ropes because their bismuth reserves are running out. And it is not precisely unimportant companies. Google, Amazon and Nvidia are three of the US companies that Chinese bismuth urgently need In order to sustain the construction of your new data centers for applications of artificial intelligence (AI), so They have asked the US government that he reaches an agreement with his Chinese counterpart. Otherwise the development of AI in the country led by Donald Trump will be compromised. In this area, as we have just seen, China has the pan well grabbed by the handle. More information | China / Business Inside In Xataka | The two most important chip companies in China have a problem: the 5 Nm have been choked

Spain promised them very happy as the power of the data centers. Did not have the heat waves

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On July 19, 2002, at 06:33 PST, Google and Oracle Data Centers in London They stopped working. The reason was not a human or electrical failure. The only thing that happened is that 40 ° C were exceeded in the British capital, and the cooling systems of that data center could not support those temperatures. The result: falls of multiple services for hours. It was a dangerous advance (and we are talking about London, which is not especially hot) for data centers, especially considering what comes to us. Climate change also threatens data centers. The only good news of this summer’s extreme heat is that It will be carried compared to the one in the coming years. The theme, which is worrisome to humans, has a surprise derivative: these extreme temperatures are going to be a colossal challenge for data centers. We do not stop seeing record temperatures one summer after another, and that will test the cooling systems of those centers. Hello, cooling. There are no definitive data on the temperature at which data centers must work, and while certain experts They recommend that work in a range of 18 to 27 ºC, others They hold that the range must be even cooler, between 17 and 21 ºC. And of course, that is only achieved with powerful air and liquid cooling systems. Heat comes out. If it is more hot, it is necessary to refrigerate more, and that imposes greater electrical consumption and therefore, a greater electricity bill. Of not controlling those temperatures the efficiency of the components is decreasing. As in mobile. It is exactly the same thing that happens in our mobiles and computers when they overheat: if the cooling systems fail to bother those temperatures, The ‘throttling’ is normally produced: The components “go round” to consume less and dissipate less heat. And the water, too. In many data centers liquid cooling also plays a fundamental role, and in the face of heat waves, water consumption also rises. That is especially worrying now that Big Tech have announced that they will invest tens of billions of dollars in new data centers for AI. Liquid cooling to power. In those facilities dedicated to AI a huge amount of chips accumulates in small spaces, which makes liquid cooling solutions much more appropriate. And the same thing happens again: before extreme temperatures, it is up to “climb the cooling systems to deal with possible overheating. Evaporative cooling. Of course, engineers who develop these types of projects go to solutions to try to avoid problems, especially when data centers are in areas where summers are especially extreme. There come techniques coom the Direct evaporative coolingin which the refrigerated and humidified air is directly entered the data center. There are other techniques such as water cooling towers and of course an intelligent management of air flow management is optimal. Be careful where you look up your data center. That makes it more and more important to choose the ideal location for new data centers. In Spain Aragon is becoming In an absolutely protagonist region. There are several projects in which Big Tech will put (theoretically) in progress data centers in this autonomous community, although the risk of extreme temperatures there is not so high as would be further south of the peninsula. But with increasingly high temperatures in summer, what can be done? Ice cream clusters. The option in some cases is simply to choose locations in which the weather is much cooler … or even icy. Facebook has already built several Data centers in Lulea (Sweden) In 2013, but in Spain we have an even more striking case: the Social Security CPD He moved from Madrid to Soria for the simple reason that it is colder there. That, among other things, allowed to save The 150,000 euros that would have cost the cooling of these systems in Madrid during the summer. Image | Goal In Xataka | We have calculated how much money the Big Tech are being spent on data centers. The numbers are dizzy

China has won the data war without stealing any. We have given them to them

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Despite the bodies that are usually tried to attribute in that sense, at least much more disproportionately than on the other side of the Pacific, China has not needed to steal secrets or technological secrets of the West. We have given them to them in a silver tray. Why is it important. There are several cases that do not mean much but united form a puzzle. For example, Apple and Its accumulated investment of 55,000 million dollars in China to “form” in advanced manufacturing. Or bytedance accumulating billions of hours of video labeling – and western– To train the most sophisticated recommendation algorithm we know. And now Apple can repeat the pattern with AI. The context. The dominant narrative points to Chinese industrial espionage as a cause of its technological boom. It is not so simple: Western companies have been the greatest facilitators of technological transfer in modern history, and did it voluntarily. The promise in return: margins. In the short term. The panoramic. Apple was one of the great responsible for China’s change, which went from manufacturer Low Cost A superpower of manufacturing in just two decades. Bytedance has converted western behavior data – hours and hours deciding what we like and what is not based on Scroll– In algorithmic supremacy for a five years. Tesla accelerated the Chinese ecosystem of electric vehicles and now he has turned against him. DJI dominated civil drones by processing Western Maps. The pattern is repeated: West delivers knowledge, China absorbs it and begins to overcome it. Terry Gou, founder of Foxconn, understood that it was better to sacrifice immediate margins in exchange for tie up a company like Apple to get free training by US engineers. Between the lines. China applied what we could call “reverse Trojan horse.” Instead of infiltrating, it attracted Western companies to come voluntarily. Apple’s is a paradigmatic case: for years he thought it was she who was conquering China, but the reality seen with perspective is that It has been China who has conquered Apple. Examples: The progressive assignments of sovereignty. Apple has accepted content restrictions or Mandatory storage on local serverssomething that led many hands to many heads at the time just for the EU to end up demanding something very similar. Logistics dependence without turning. There is no plan B, leaving China would be a slow, expensive movement that would require many years and many dollars. The massive transfer of knowledge. The aforementioned formations to millions of Chinese workers, the investments of more than 7,000 million in own equipment for foreign factories. China has absorbed that know-how. Yes, but. Apple generated thanks to this a company of 3 billion dollars. In 2000 it was around 4,000 million. Thousands of times less. That growth could not have happened investing elsewhere. Tesla would have taken much longer to master the electric car without Chinese industrial capacity. The problem is the aforementioned: there is no medium -term plan can not have it. Without China, Apple cannot manage its complex logistics, its millions of daily components. Nor access engineers to dominate them. And now… Apple is working with Alibaba to take Apple Intelligence to China for legal imperative. Is being more complicated than it seemed. And bytedance I would prefer to close Tiktok in the United States rather than sell its valuable algorithm. The employer is also repeated here: Western companies seek to access the Chinese market delivering their most valuable technology. The threat. China is increasingly dominating the massive adoption of AI with models mainly open source. Tencent has already integrated Depseek in Wechat For its more than one billion users. In China, AI is not a separate application, but is integrated into what is already widely used. Possibly the next generation of intelligent agents will repeat the pattern of Apple and Foxconn. But in the field of software. China is not winning the data career spying on the West. He is winning for having opened the door for the West to teach him everything he needed to know in exchange for greater quarterly benefits. Today the student has become a teacher and is the one who puts the standards. In Xataka | For Apple, the price of its iPhone was sacred. Until he started falling into a vacuum in China Outstanding image | Collabstr in Unspash

Police investigate whether a filtration has exhibited personal data from Pedro Sánchez and several ministers, according to Cadena Ser

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The National Police has opened an investigation for a possible filtration of personal data that, According to Cadena Sercould affect the president of the Government, Pedro Sánchezand several members of the Executive. The leaked document, about 500 pages, would contain information such as ID numbers, homes and birth dates. What is known until now? In the case of Sánchez, the published registration includes its supposed identification number next to an address and a date of birth. The broadcaster also points to other possible affected: the president of the Junta de Andalucía, Juan Manuel Moreno Bonilla; the president of Extremadura, María Guardiola; the former mayor of Barcelona, ​​Ada Colau; and around 3,000 members of Podemos. Diffusion in a messaging app. Part of that information would have been disseminated through a telegram channel. In the case of data related to Podemos, it would be access data to its private website. This filtration adds to others that They are already being examined by the National Courtand in which names such as Félix Bolaños or Yolanda Díaz appear. Ongoing research. The aforementioned means indicates that given the nature of the committed material, the central court number 1 of the National Court investigates the case as a possible crime of terrorism. For now, it is not clear if the data were obtained through a cyber attack or if they come from open sources that would have been collected and crossed with additional information, and then marketed on the Dark Web. No official statements at the moment. When publishing this article, there have been no official public statements by those involved. All information comes from the coverage published by the station. From Xataka we have contacted official sources to request information about the facts. We will update this article in case of receiving an answer. Images | Finnishgovernment In Xataka | We have clicks on “Cancel Subscription” in emails without thinking. It is just what many cybercriminals expect

Until we saw the data from other countries

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The most students Second of Baccalaureate in Spain have already completed their University access tests (PAU) and have the challenge of their higher studies ahead. Comparatively, Spain has advanced a lot in terms of the number of people With university career or higher studies. However, it is enough to take a look at the countries around us to confirm that there is still a lot of work to do in this area. The “most educated” countries. A study prepared by CBRE Research With the latest available data on higher education in OECD countries and main economic powers, the list of countries has just established with the highest percentage of adults with higher education titles. Those countries with the highest proportion of qualified workforce They tend to offer better productivity and greater capacity for innovation and economic growth thanks to having a better prepared work mass. The portal Visualcapitalist He has collected all this data in a single more enlightening graph so that, in a single glance, we can get to the idea of ​​how the level of higher education is located in Spain with respect to other countries. Spain, a lot of work to do. According to Fedea dataSpain has made Very good job As for education during the last decades, going from illiteracy rates of 15% of the active population over 25 years of age registered in 1960 to only 1.9% registered in 2022. However, according to data from the study of CBRE Research Only 28.8% of the active population between 25 and 64 years has a university degree or accredited higher studies. This, in absolute figures, assumes that 9.2 million Spaniards have completed His university studies. Ireland, the example to follow. The absolute leader in population with university training is Ireland, which with 52.4% is placed as the country as more graduates in their labor market. The Eurostat figures About Ireland confirm the theory that a more formed population improves productivity since it is like the country with the highest productivity of the OECD duplicating the European mean However, if we look at the absolute population values, we find that, by population, only 1.8 million Irish has a university training. Switzerland (with 46%), Singapore (45%), Belgium (44.1%) and the United Kingdom (43.6%) compete with the top 5 of countries with the highest percentage of university graduates with respect to the whole of its population. Our environment is not better. If we look at our northern neighbors, France is not much better than Spain in terms of education with 28.1% of its population with higher studies, while Portugal significantly exceeds the percentage of Spain with 29.4% of its active population with university education. Demographic trap. However, despite using percentage values ​​of its population, it is worth highlighting the population differences of each country when taking into account the percentage of population with a university degree and the economic effort that this supposes for the states. For example, Singapore had a total population of 5.91 million inhabitants in 2023, of which 1.9 million had a higher education title, hence their percentage is 45%. On the other hand, cases such as India, which occupies the penultimate position in terms of training, in 2023 had a population of 1,438 million inhabitants, of which 139.4 million had completed a university career. The relative percentage with respect to its total population is 14.2%, but it is an educational system that has formed 139.4 million people. Brain drain. On the other hand, one of the biggest challenges for these countries is to get their higher studies, these future professionals return Investment that the country has done in its education Avoiding talent escape to provide added value to the economy. The problem is that the lack of job stability and opportunities in countries such as Spain or Portugal is making many graduates have MORE Remedy to migrate To countries such as Australia, Ireland, Germany or the US to develop their professional career. In Xataka | The 100 best universities in the world excluding those of the US, exposed this graphic revealing Image | Visualcapitalist

Reddit has become the best human data source. AI is trying to prey them

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Everyone wants Reddit data. And they want them why they are data humans. That is the Great value of a platform which has become the crown jewel of AI companies. They want to use that data To train their AI modelsand Reddit is tired of trying without asking for permission … and without paying. Reddit demands Anthropic. The social network, fed up with this type of behaviorhas registered a lawsuit against Anthropic, the creators of Claude, so consider a contract violation and for participating in “illicit and unfair commercial acts” when using the platform and data of the social media company without authorization. Or what is the same: for stealing the data for your AI. Blunt criticism. In The demand Reddit’s legal managers begin strong: “Anthropic is an artificial intelligence company of late flourishing that proclaims the white gentleman of the artificial intelligence industry. It’s anything but that.” According to Reddit, Anthropic shows a public face in which he presumes his respect for the law and doing things legitimately, and another private “that ignores any rule that interferes with his attempts to fill his pockets even more.” Human data treasure. Reddit has become In a valuable source of human information. If someone looks for answers, experiences and opinions in raw, this is the platform that has ended up becoming an absolute reference. In Reddit they know it. His legal manager, Ben Lee, explained in The Verge the following: “Reddit’s humanity has a unique value in a world flattened by AI. Now more than ever, people seek authentic conversations between humans. Reddit houses almost 20 years of rich and human debates about practically all imaginable topics. These conversations do not occur anywhere else and are fundamental to train linguistic models such as Claude.” Reddit began to protect himself very soon. Knowing that his “human data” were that great treasure with which to make box, Reddit began to make movements for take advantage of that data very soon. A few months after the launch of ChatgPT, it appeared that He made his APIas shortly before I had done Elon Musk with X/Twitter. He controversial movement It was clearly aimed at protecting the platform from those birds of prey in which IA companies had become. Then the demands would begin. If you want my data, pay. Reddit’s policy has been clear from the beginning, and there have been companies that have assumed the message. Google was one of the first to reach an agreement with Reddit and paid 60 million dollars to the platform To train your AI models with that data. OpenAi ended up doing the samealthough the amount that was paid to Reddit has never been revealed. Anthropic Discrepa. An Email from Anthropic to CNBC reveals that “we disagree with Reddit’s complaints and we will defend ourselves vigorously.” Interestingly, Anthropic herself has blocked the access of her Claude model to Windsurf, the newly acquired programming startup by Openai. One of its co -founders He affirmed that “it would be rare for us to sell (the API of) Claude a OpenAi.” It is a reasonable argument – and debatable – but it does not seem to be equally logic in the case of Reddit. But it already has other pending demands. That statement contrasts with two other demands that Anthropic has received in the last two years. Last August, three authors sued it in a Federal Court in California for having “built a billionaire business stealing hundreds of thousands of copyright“Before, in October 2023, Universal Music also sued her in Tennessee for a” systematic and generalized violation of the copyright of the lyrics of his songs. “The record giant He lost that battleHowever, which meant a disturbing victory for the technological ones. Internet looting continues. It is another case of that Absolute looting that AI companies are carrying out on the Internet. None of them savealthough of course there are flagrant cases such as perplexity or the recent scandal of Goal downloading books from books with copyright to train their models. If there are data that can be used to improve the quality of these models, companies try to get them, and it is just what happens with Reddit. The IAS do not want copyright. This whole process is part of a worrying phenomenon: there is still not punishment for all these companies despite being violating copyright. Openai already asked for a white letter to operate In that field, but other companies They joined that unusual proposal to eradicate copyright lawsat least for their AI models. The argument of “fair use” remains its great shield in front of these demands, but the reality is that the months go by, we insist, there is still no consequences for this flagrant robbery of the internet content. Image | Anthropic | Reddit edited with chatgpt In Xataka | After 19 years, Reddit is finally a profitable company: he has achieved it with a peculiar strategy

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