define

the new newsletter from Xataka Xtra about the trends that are changing the present and will define the future

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‘Proxima X’ is one of the newsletters exclusives included in Xtrathe Xataka subscription plan. It is biweekly (we send it every other Thursday) and is part of a benefits plan that includes access to other newsletters, a consultation with editors and raffles and discounts exclusive for subscribers. The first draw, a 75″ TV. For years, one of the last questions that every Xataka editor has asked his interviewees has been “If we were having this conversation In five or ten years, what would we be talking about??”. Next X is our commitment to doing exactly that every two weeks: talking, analyzing and thinking about the things that will be central a decade from now. And yes, we know it is a risky job. But who was going to tell that group of bloggers that They launched Xataka in November 2004 that 20 years later that passion for gadgets, online services and digital culture was going to be fundamental to understanding the contemporary world? The lesson is clear: we have to live passionately in the present, to understand what will define the future. We will talk about AI, quantum computing, biotechnology and space exploration, yes. But we will talk about many more things, because what defines this newsletter is not a list of topics, it is a question: what’s next? And “up next” this week has been the profound effect that technology has on human societies. One in particular: boredom. Is it possible that one of the most unexpected (and important) consequences of all the technological development of recent decades is boredom? Well yes and, as I say, It is much more important than it seems. Other Xataka Xtra newsletters Chip War (weekly, every Monday): The semiconductor industry is the technological, economic and geopolitical battlefield of our time. Every week we analyze what is happening in the race for chips: from the tensions between the United States and China to the decisions of TSMC, Intel, SK Hynix or Samsung that will determine who leads the next decade. B-sides (weekly, every Saturday): Five curious and fascinating readings every week. Strange, counterintuitive or unexpected stories that we find on the Internet and that deserve your attention. From industrial accidents that changed the world to surprising scientific research or absurdities of late capitalism. More information | Xataka Xtra

The decision that opens a gap between China and the United States and will define the future of AI

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It is one of the hottest debates in the AI race and that is making the difference between the two most advanced powers. China is committed to Open Source with models such as Deepseek, while in the United States they lead private developments such as Chatgpt or Claude. Meta, on the other hand, has been defending the Open Source for a long time. Or we believed. According to the New York Timesnew Mark Zuckerberg Superintelligence Team I would be questioning this strategy in favor of developing a closed model. Flying. If confirmed, it would be a drastic change in the finish line. In 2023, goal It joined other companies To defend the creation of open source models and have not been few times when Mark Zuckerberg has said that his AI is Open Source (although not all true). Now that the new Superintelligence Team commanded by Alexandr Wang He has started working, they are considering whether to continue with the plan or choose to develop a closed model. Behemoth. It is the name of the AI Open Source that Meta was developing, its largest model to date. In fact, Behemoth’s bad results would have been The trigger for Zuckerberg decided to create the new AI team. Nearby sources claim that one of the first discussions of the team has been to leave its development. There is also the possibility that Behemoth’s development continues and that the new team focuses on developing a new model that points to the great goal of goal: Create a general artificial intelligence. What is an open AI. The Open Source concept is not new, but with the arrival of AI there has been enough debate about its definition. The AI models are very complex and the classical definition did not adapt to them, so in October last year the Open Source Initiative agency The Osaid published (Open source ai definition), a definition with which Target I did not agree. In order for an AI open source, it must allow the following: Use the system for any purpose and without having to ask permission. Study the operation of the system and inspect its components. Modify the system for any purpose, even to change your performance. Share the system so that others use it, with or without modifications, for any purpose. Chinese patience. The United States and China are the two most powerful players in the AI race, but although they play the same game, they do it with Very different strategies. With Deepseekhis most famous AI model, China surprised to bet on the open source, a strategy that has allowed him Avoid the zancadillas that your rival puts With vetoes and restrictions. And it is not the only oun source in China, there are many more: Qwen from Alibaba, Doubou by bytedance, Ernie from Baidu, Hunyuan Turbo of Tencent or Kimi From MoNshot AI. It is not a matter of giving in exchange for anything, behind there is a strategy of Soft Power Technological: Today I give you access, with the intention of being dominant tomorrow. China wants to create global dependence on its models and be an alternative to the payment models of the Americans. China has the future vision and patience to do so, we have already seen how invested for decades to form engineers And that today gives a clear advantage in the AI race. American immediacy. OpenAI, Anthropic, Google… The greats of the AI of the United States have opted for private development and subscriptions to access their most leading models. The exception to the rule was put by the goal with flame, the only one whose code is accessible (at least part), But if they focus on private development, that closed approach will be armed even more. The objective is clear: they have the most advanced models and resources to continue training them, so they can obtain an economic benefit by monetizing them. They do it through subscriptions to pro versions or with specific products such as AI agents, it is the case of the newly announced Chatgpt agent. The trap. China’s strategy makes all the meaning if we take into account that they were behind their rival (although They have managed to cut positions in record time). With open and free IAS they manage to create a great very fast user base and create that dependence. However, it is not a good long -term strategy from the economic point of view. If in the future they begin to monetize, that sooner or later they will have to do it, they face two problems: that their users come out in disarray and that the regulators put their eyes in them. The United States maintains strong control and obtains benefits from minute one. Has the most sophisticated models, but every time prices are higher And that makes a luxury within reach of a few. Many will look for alternatives and there will be China with their open and free models. They are two opposite visions: one focused on the present and one in the future. We will have to wait to see what vision is imposed. Image | Bibek ghosh, and Kaboomps (Pexels) In Xataka | Four AI companies are monopolizing the intellectual future of humanity. They are not good news

“They no longer define a car”

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What do we value from a car? And what have we stopped assessing? Those are, without a doubt, two of the great questions in which the automobile industry is involved. An industry that was based on benefits and differential engineering but that seems to wonder what really defines it at the moment. And Ford has an answer, at least, to the second question. “They don’t define them”. The words are by John Lawler, vice president of Ford, and have been collected by Automotive News. “Before, the combustion engine defined what a vehicle was: the power, the displacement, the motor torque and everything else. I think that much of that has disappeared,” Lawlyer insisted. And, for the Vice President of Ford, the market no longer values ​​the specific characteristics of the combustion engine that a company can offer. “I don’t think consumers really think of motorizations as they did 30 years ago,” he emphasizes. That others do. The solution, says the vice president of Ford, is that in the face of a loss of interest on the part of the consumer, the smartest thing is to increase the subcontracting of this industry and, therefore, delegate in other companies the development of mechanics. In Motorpasion They collect that Lawlyer’s forecasts suggest that saving money in engines’ development involves dedicating more economic resources to other areas of the vehicle. A change of strategy that is essential to face the great rival that Western companies have in front of them: China. The true rival. “We have to be competitive with them not only in the speed of development, the software capacity, the electrical architecture, but also in the global electrification capacity”, of which Lawlyer speaks is from the Chinese industry, a speech that is not surprising coming from Ford. Jim Farley himself, CEO of the company, said a few months ago that Chinese cars were a “Existential threat” For Western companies. Nothing new under the sun. What was more surprising is that A Xiaomi Su7 will be brought under the arm And I wouldn’t want to get rid of him. What do we value? Farley said of the Xiaomi Su7 that it was “A fantastic car”. And I did not say it only because of the car itself, I also said it because of the ability of the car to be part of an ecosystem, of a whole that goes far beyond the car and that attracts customers for simply, to be part of a more complete family of products. That connection with the rest of our digital framework is something that Chinese cars are prioritizing what, each time we give more value. Tesla has built its brand image and this article of Insideevs It made us clear where Chinese cars are and everything they offer, turning the car into a kind of interactive center with wheels. “For years, the West was the goal. The mirror where Chinese brands were looked at. The standard that had to be achieved. Today, that mirror is broken.” During the visit to the Shanghai Automobile, My partner Javier Lacort also experienced A very similar feeling that summed up with those words. Differentiate when everything is the same. Until now, the automobile industry had played to differentiate itself in the mechanical plane. The Japanese boasted of reliability, the Americans were giant engines cars, Europeans have played both letters while leaning on more practical cars for day to day. Today, with emission regulations, forcing to reduce displacements and increase electrification, these differences are almost completely blurred. The associations between the companies point to an extreme standardization and there is only room to differentiate through the software. Finding, again, what attracts the public is the great challenge. And, there, it seems that China has the front by combining electrification, new experiences and low prices. Photo | Ford In Xataka | Ford has burned 2,000 million dollars and believes to be clear about the reason: “China has been in the electric car for ten years”

They asked Bill Gates and Warren Buffett how they would define their success in one word. They did not hesitate: focus

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At 94, Warren Buffett Ha “Hang” your investment notebook After more than six decades as one of the brightest and most accurate investors of Wall Street in front of Berkshire Hathaway. For his part, Bill Gates spent four decades directing Microsoft. Both became Milmillonarios with it and agree that they would never have achieved it if it is not for a key factor: to focus on achieving their goals. Focus on something and be constant. In one Interview for CNBCBuffett said that on one occasion Bill Gates gathered a group of 20 people – among which Bill Gates was – and asked them to write a word that explained their success on paper. “Bill and I had only seen each other twice and we didn’t know what the other was writing. We both wrote the same word: ‘Focus‘” Both Bill Gates and Warren Buffett attribute much of their fortune and legacy to their ability to avoid dispersion and keep the course for decades. For them, the approach and the ability to focus on a single objective is not only a skill, but the basis on which their empires built. While others played, Gates scheduled. As detailed in his autobiographical book ‘Code Source: My beginnings’Adolescent Gates discovered that programming was a creative way of structuring ideas that tests their logical thinking, which made it become obsessed with creating different programs when access to a computer was a scarce resource only reserved for universities and large companies. Gates and his companions of the “Computer Fourth” of high school managed to get free shared access time to one of those expensive computers and learn to program when very few knew how to do it. This obsession with the software has provided a fortune valued at 112.7 billion dollars, according to Forbes Start is an advantage. In An interview For Charlie Rose’s program in 2016, Gates said that “what you do obsessively between 13 and 18 years is what is most likely to take you to global success. The only thing I did obsessively between my 13 and 18 was to write software.” According to Buffett, in the same way as Gates He focused on learningHe did it to learn to invest. “He focused on software. I concentrated on investments. Starting very young gave me a great advantage. There is no doubt about it,” said the investor nonagenarian. According to Times of Indiaat 11 years the “Oracle of Omaha” was already beginning to make his steps in the investments with $ 114.75 that he had saved. With them he bought three actions from the CNIES Service oil and gas company (now called Citgo). Bill Gates became a millionaire at age 20 thanks to the software company he had founded with his secondary school friend Paul Allen. Warren Buffett had to wait until 32 years for his heritage to exceed six figures. Prioritize and avoid distractions. Having clear priorities has been essential for Gates and Buffet not to waste energies in projects that did not bring them closer to their goals. Bill Gates told to CNBC that He had focused all his life In a single project: Microsoft. During his first 20 years leading Microsoft, his routine revolved exclusively around software development, sacrificing weekends and vacations to achieve its goal: that each home had a personal computer. In An interview for Vanity FairPaul Allen, co -founder of Microsoft and Gates’s partner in its beginnings in programming, said that “Microsoft was an environment of great stress because Bill directed others as hard as he did with himself.” Warren Buffett’s strategy: focus and long term. From a young age, Warren Buffett, chose to specialize in long -term investmentsavoiding the temptation to search Quick earnings. Your strategy During all this time it has been based on identifying solid companies, investing in them and maintaining the actions for years or even decades letting the Time and compound interest They would grow their money. Buffett calls this investment style the “snowball effect”. In the Annual Berkshire Hathaway Shareholders Board of 1999Buffett joked with his inverting precocity. “We started building this small snowball at the top of a very long hill. The key is to have a very long hill, either starting very young or living to very old.” The 94 -year -old veteran investor has met both conditions for Finish your career With the fifth greatest fortune in the world, with a “snowball” valued in 156.6 billion dollars. In Xataka | The two Warren Buffet lists: the millionaire investor technique to prioritize professional objectives Image | Flickr (Fortune Live Media), Wikimedia Commons (Jennifer Jacquemart)

Tesla’s megabers feed the AI ​​that will define their next cars

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Elon Musk’s ecosystem begins to exhibit an integration where each company enhances the rest, creating a virtuous circle that triggers several industries at the same time. Tesla’s megabaterías Now feed The superordination Colossus XAI in Memphis, with 150 megawatts. Initially it worked with gas turbines (With much controversy and without permits), But the use of megapacks points to a transition to a more sustainable model. It is more than a synergy: Tesla provides sustainable energy that allows Xai to develop AI … which will then be integrated into Tesla vehicles. The circle closes. In figures. Financial and technical connections between Musk companies make it clear that this is not a coincidence but strategy, with investments that unite the destinations of these companies. XAI invested 230 million dollars in Tesla Megapacks between January 2024 and February 2025. Colossus has 200,000 gpus NVIDIA H100with plans to reach a million. Completed phase two at the end of 2025, the system will consume 300 MW, sufficient for 300,000 homes. Turning point. The Energy Division of Tesla has gone from being a secondary business to a key piece in Musk’s strategy to master several industries. Tesla Energy declared an interannual 156% increase in the first quarter of 2025, displaying 10.4 GWh of storage. Just at the time the need to have energy support for critical infrastructure, such as data centers for AI grows. Between the lines. There were critical voices that They questioned the use of gas turbines in Colossusbut the progressive introduction of Megapacks is a strategy oriented to energy self -sufficiency and a lower dependence on fossil fuels. The Tesla-XAI connection allows Musk to reduce external units and save a lot of money in certain components. As with The dojo chips and the 4680 batteriesthe goal is to control the entire supply chain. This integration gives technological independence, but it is also a competitive advantage over rivals that depend on external suppliers. And now what. The next logical step is to integrate the capabilities of Xai directly into Tesla products, closing the circle definitely. And the Dojo chips could face mass production at the end of the year to reduce NVIDIA dependence. The predictable result: smarter tesla cars, developed with the same AI systems that feed on Tesla batteries. Possibly that scenario would be the greatest vertical technological integration seen so far. In Xataka | Some researchers have disassembled the batteries of Tesla and Byd. You know which one yields better and is much cheaper Outstanding image | Tesla

China sanctions are opening the door for Huawei to define the new global standards

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For Nvidia losing the Chinese market would be “a huge loss.” We do not say it; Jensen Huang assures itthe general director of this American company. The future of this company in China is objectively uncertain. US sanctions They do not stop hardeningand little by little they are cutting the range of products that Nvidia can deliver to their Chinese customers despite the attempts of the latter To get out of prohibitions. There is a lot of money at stake. During the last fiscal year, which expired on January 26, 2025, China represented approximately 13% of NVIDIA’s total income with a figure of about 17,000 million dollars. In practice, the country led by Xi Jinping is the third best client of this company only behind the US and Taiwan. However, there is only money at stake; On the table there is also the possibility that Huawei manages to define global standards to the detriment of Nvidia technologies. CUDA domain is in danger “We are at a turning point. The United States must decide whether it will continue leading the development and global implementation of artificial intelligence (AI) or if it is going to go back and retreat (…) America cannot lead to slow down. If we go back others will occupy the space. And the global ecosystem of the AI ​​will fragment technologically, economically and ideologically, has declared Jensen Huang before US legislators. For Nvidia it is a problem not being able to sell its GPUs to its Chinese clients, but it is an even greater problem that CUDA (Compute Unified Device Architecture) end up losing your current domain In the AI ​​industry. And this technology has an essential role in the Nvidia business. Most artificial intelligence projects that are currently being developed are implemented on CUDA. Underestimating Huawei’s ability to correct Cann’s deficiencies would be a serious mistake This technology brings together the compiler and development tools used by programmers to develop their software for NVIDIA GPUs, and replace it with another option in the projects that are already underway it is a problem. Huawei, who aspires to an important portion From this market in China, it has Cann (Compute Architecture for Neural Networks), which is its alternative to CUDA, but for the moment the latter dominates the market. Cann has received criticism because, apparently, it is to use it, and also because its performance is unstable, documentation is insufficient and has reliability problems. However, underestimate Huawei’s ability When correcting these shortcomings it would be a serious mistake. In fact, this Chinese company has admitted the existence of these problems And he has confirmed that he is working to solve them. However, not only Huawei threatens Nvidia’s leadership position. Cann is not the only country’s asset governed by Xi Jinping. Moore Threads It is one of the Chinese companies that are dedicated to the production of hardware for which companies aligned with the interests of the US and its allies cannot sell software or advanced equipment. Although it is very young (it was founded in 2020) it has something very important in its favor: its founder is Zhang Jianzhong, former general manager of the Nvidia subsidiary in China, so it is evident that he knows well what he has in hand. Moore Threads has developed several GPU for AI applications that, on paper, rival some of the advanced solutions that have placed in the Nvidia, AMD or Huawei market. However, this company has something else: a software package with which it pursues Finally break the domain of CUDA. He calls it MUSEis compatible with the range of MTT cards and incorporates a compiler, execution libraries, specialized libraries and code purification tools. On paper its most attractive capacity for China is that it allows to reuse the code written in CUDA, transferring it so that it can be executed on the cards for Moore Threads. Image | Nvidia | Huawei More information | Tom’s hardware In Xataka | AI is the best thing that is happening to nuclear fusion. It is already accelerating the construction of Iter

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