future

It is not that Russia does not find the F-16 of Ukraine, is that kyiv has discovered the perfect hiding place for the future of wars

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The problem of modern wars is that they have ceased to be A geographical matterand the current technological abilities, with the drones and the AI in the lead, are eroding the physical barriers that previously existed. That was clear, for example, with The Spiderweb operation of Ukraine on the Russian air bases. In fact, in the first 18 months of the war, Ukraine lost Very few planes On land in front of the Moscow number, and the last movement predicts an even lower figure. The mobility war. The Arrival of the F-16 To the Ukrainian Air Force has been accompanied by a parallel effort to create a mobile ecosystem capable of sustaining continuous operations in a scenario where each base is a potential white of aviation and Russian missiles. Solution? The Ukrainian Foundation Eat Back Alivein cooperation with the state conglomerate Office 61 and with the financial support of the UKRNAfta energy company, recently delivered a set of vehicles specifically designed to provide the F-16 of the necessary logistics flexibility. Four wheels and fighters. The acquisition It included workshop trucks for armament preparation, crane trucks for missile and pump load, pickups for personnel transport and, above all, a missions planning complex on wheels composed of A 6×6 truck and a habitable towing module, which will allow briefings, plan operations and move quickly where it is required. With this investment, encrypted in just over 1.2 million dollarsUkraine obtains not only a technical improvement (for example, reducing from a dozen to three the number of operators necessary to assemble ammunition in each plane), but also a Operational advantage in an environment where speed and dispersion are survival synonyms. The concept of distributed operations. The logic behind this innovation is simple but strategic: prevent Russia from being able to anticipate or destroy on land Western manufacturing fighters. Ukraine had already developed the custom of Alternate air bases and even use highways as impromptu tracks, an inherited practice of the Soviet design to operate in austere environments, but now amplified by the high -tech character of the F-16. This ability to Move with infrastructure Wheel support converts each road into a potential base and each mission into a concealment game. In this sense, new vehicles are not simple trucks: they represent an adaptive doctrine in which aviation abandons the notion of fixed bases and embraces total mobility as a shield against missile attacks, drones and enemy bombers. NATO and American learning. The lessons that Ukraine applies in extreme conditions are being observed carefully by the United States and its allies. It We count The other day: the doctrine of AGILE COMBAT EMPLOYMENT (ACE), which seeks to disperse combat aviation in multiple locations Temporary, is nourished directly from the Ukrainian experience. USAF generals They recognize that Ukraine has managed to avoid the mass destruction of his aviation thanks to not taking off or landing in the same place twice in a row, forcing the enemy to waste intelligence and ammunition. The counterpart of this agility is Logistics demand: Each site needs fuel, ammunition and maintenance equipment that must be compact, transportable and fast to install. The United States Marines itself has started projects To provide air-terrifying trucks on C-130s and lighter and more modular equipment that can accompany squadrons in constant movements, which marks a deep turn in the conception of the air war. Aviation future. What’s doubt, what is today Test in Ukraine It has global implications. In a eventual confrontation with China in the Pacificno power could guarantee the protection of all its air bases, and mobile dispersion will be the key to survival. The fighters will not be able to remain in the same airfield without dense anti -aircraft defense; Their operations will be measured in hours or days, with specific deployments for refueling and rearming before returning to main main bases. This will require redesign support equipment lighterto think about new sustaining architectures and maximize land and aerial mobility. Ukraine, again laboratory. In short, the incorporation of these Ten vehicles At the service of the F-16 it may seem a lower detail in the heat of the war, but embodies a deeper transformation: that of an aviation that can no longer rely on the solidity of its bases and that depends on speed, dispersion and Logistics creativity. Ukraine thus becomes Test field of a doctrine that west, and in particular the United States, contemplates as essential to survive the high intensity conflicts of the future. Thus, each workshop truck and each rolling planning module are not only metal pieces, but symbols of how war forces to reinvent the way of conceiving today’s aerial power. Image | “Come Back Alive” Foundation In Xataka | A new challenge has arrived to Ukraine: it measures 4 meters, it has 75 kilos of explosives and uses AI to hit Russia In Xataka | The last Russian tactic are not kamikaze drones: their soldiers carry a helmet with antennas that is surprising Ukraine

After achieving what seemed impossible, Nvidia sees his future in China threatened by something terrifying: the bureaucracy

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What is happening to Nvidia with the GPU to artificial intelligence (AI) H20 It is a real odyssey. Currently this chip is its best asset to protect its position in the Chinese market, but at the current situation it is not clear that the company led by Jensen Huang go survive In this gigantic Asian country. Interestingly, the beginnings of this GPU in China were extraordinarily promising because Their sales grew by 50% quarter to quarter since it arrived in this market in mid -2024. However, everything was complicated for Nvidia in the middle of last April. And is that the US Department of Commerce imposed new restrictions To the export to China of the H20 GPU, which in practice caused this chip to stop reaching the Chinese clients of this company. This news Nvidia’s shares sank 6% in the bag because I could no longer attend the commitments linked to the H20 GPU that it had acquired. At the beginning of July there was another unexpected turn of events. Jensen Huang met with Donald Trump and got something that seemed impossible: the trade department would allow him Sell again in China the H20 chip. Since then four weeks have passed and Nvidia continues to wait. He has not yet received the export license you need to sell this GPU in China, and, According to ReutersThe problem is that the Commerce Department is mired in the bureaucracy, which has originated a delay in the concession of export licenses that has not occurred for more than 30 years. The future of Nvidia in China is in the hands of the Chinese government This delay comes at the worst time for Nvidia. Among Chinese clients who have bought great amounts of this GPU, and that presumably plan to continue doing itare Tencent, Alibaba or Bytedance. But if the Department of Commerce takes much more the delivery of the export license to NVIDIA these commercial operations could be canceled. And it is that Jensen Huang’s company has another very important open front. The CAC is responsible for the censorship and control of the contents published in the network As We explain to you last weekthe administration of the cyberspace of China, usually known as CAC for its English denomination (Cyberspace Administration of China), he has decided Thoroughly investigate the H20 GPU. This institution is the main Internet regulatory body in China and is responsible for the censorship and control of the contents published in the Network, the supervision of technology companies and compliance with the Data Security Law and the Personal Information Protection Law. The problem that Nvidia faces now is that The CAC has decided to investigate it Because he suspects that the H20 chip could incorporate a rear door of difficult location by Chinese experts. If so, the possibility of China to use this GPU could be possible. At the moment the CAC has limited himself to questioning those responsible for NVIDIA in China and ask them to demonstrate that the H20 Chip does not represent a threat to the interests and security of the country led by Xi Jinping. As expected, Nvidia has immediately responded to the Chinese authorities and is collaborating to dissipate as soon as possible the doubts that loom about the H20 chip. According to SCMPthose responsible for the company in China have assured CAC researchers that the GPUs for the develops They do not incorporate any “back door” implemented to facilitate espionage by the US government. “Cybersecurity is of vital importance for us”, has declared A NVIDIA executive. “We have no rear doors in our chips that can give someone remote access or the ability to control them.” Probably during the next few days we will know how this conflict ends. Image | Nvidia More information | Reuters In Xataka | The US gives Huawei a great opportunity: to get its new chip for AI with the Nvidia market in China

The commercial war between China and the US also goes from airplanes. The c919 comac already threatens the future of Boeing and Airbus

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The aeronautical sector has become another battlefield of commercial tension between Washington and Beijing. The C919the first narrow fuselage commercial plane developed completely in China, He is winning traction In Southeast Asia while Boeing and Airbus fight against delays in their deliveries. An opportunity born from despair. Malaysia has confirmed that Airsia and Air Borneo are valuing C919 as an alternative to Western manufacturers. It is no accident: the waiting lists to receive Boeing and Airbus airplanes extend years, and the airlines They desperately seek to diversify their suppliers. Malay Transport Minister Anthony Loke summarized it thus: “All airlines look for faster deliveries and cheaper options. COMAC is one of the manufacturers they are considering.” The Chinese pride Achilles heel. Despite its ambition, the C919 drags a critical dependence on US components that could be lethal. LEAP-1C engines (Manufactured by the Joint Venture between GE and Safran), Honeywell’s navigation systems, the rockwell collins meteorological radar and multiple critical components come from the United States. Tariffs and prohibitions. The Tariff climb It has raised the cost of the US components until they make them almost unfeasible. Just a couple of months ago, China applied tariffs up to 145% in response to tariffs applied by Trump, shortly before The 90 -day truce that both countries occurred. At the same time, Beijing has prohibited its airlines from acquiring US suppliers equipment, although this restriction does not yet affect manufacturers as Comac. The race against time towards autonomy. China has not been still in this critical situation. And it develops the engine CJ-1000A through AECC as the National Substitute for Western LEAP-1C. The evidence has been advanced since 2018, although the commercial certification will not arrive before 2030, and in the worst scenario it would be delayed until 2035. Meanwhile, the Chinese domestic market offers an extraordinary mattress: Boeing estimates that China will need 8,600 new airplanes commercials in the next two decades. And now what. The United States has recently reactivated licenses to sell engines to C919, but this movement can also mean China’s reinforcement to achieve technological autonomy in the sector. The European C919 certification could arrive between 2028 and 2031which would open the doors to the global market. If China manages to combine a competitive plane with aggressive prices and fast deliveries, the historical Boeing-Airbus duopoly could have its days counted. Cover image | Comac In Xataka | In his crusade to manufacture the iPhone at home, the US has achieved something historical: that most of its smartphones come from India

AI has just taught us the future of the most important application of our life: subscription browsers

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How much of what you do on the computer do it in the browser? Exact. A lot. We don’t think too much about it, but The browser is the application by antonomasia of our time. Not so much on the mobile, where native apps – which are often browsers disguised as something else – triumph, but of course in desktop and laptops. The Internet has been the indirect guilty of this transformation of the browser in one of the pillars of our life. The greats of technology know it well, and for more than three decades they have tried to conquer with their browsers to dominate the world. Of that mythical Netscape We become absolutely dominated by Microsoft Internet Explorerand after the occasional scarce with Firefox —Now in really low hours– We end up yielding to a Wonderful and disturbing Google Chrome. This company, by the way, was clear from the beginning how important the browser was. So much that they created an operating system absolutely focused on that idea: they called it Chrome Os. During all this time, yes, there was something inherent to all those browsers: They were free. Microsoft, Apple, Mozilla, Opera and of course Google gave them to us. They did not need to charge for them because they earned (and earned) a lot of money indirectly with their integration of search engines, especially Google’s. They tell Apple: Google pays about 20,000 million a year so that your search engine is the native in Safari. If you pay so much, imagine what you earn through the searches made by users of the iPhone, iPad or Mac. Thus, using the browser has always been something we have done without thinking that it could cost us money. That will change very soon. Hello, subscription browser And it will change because before us a new era opens in which browsers want to be much more than that. And to achieve this they have allied with AI models that allow interaction with websites to be much more powerful. The promise of browsers with AI It is exceptional. One of the first, Perplexity Cometit autocalifies as “the browser that thinks with you.” Like him, browsers with AI are able to summarize that article that you are reading or answer questions about it, integrate conversational engines and little by little they are beginning to integrate something especially promising: AI agents What do things for us. That click alone and fill for forms and that they even overcome captchas without help. But do that this time will not be free. Not at least if we want to use those options intensively. This is what The Browser Company is already raising, the company that first developed Arc and? He abandoned it To launch your own browser with the call day. Josh Miller, CEO of The Browser Companyhe confessed in An interview With The New York Times that in the coming weeks will launch subscription plans that will go from five dollars a month to hundreds of dollars a month, depending on how much users want to take advantage of the NA of the browser. There will still be a free version that will allow a limited use (probably very) of these options, but the future of this browser is not to be a browser, but to be a subscription browser. The decision made by this company is totally logical: Using AI is not cheap, and using it is still less cheapso if you want to do it, you will have to pay. It is the same as we are seeing with the different models: Chatgpt, Gemini or Claude can be used for free, but if you want to use them intensively and access their most advanced options, it is time to pay by pointing to their subscription plans, as is the case with Chatgpt Plus, Google Ai Pro or Claude Pro respectively. Browsers are already the most widespread way to interact with AI, so it is logical to think that all of them – Hello, Firefox? – will end up integrating these functions. He has done it day, he has done it, he just did it Edge with your co -pilot mode And it is expected that Integration between Gemini and Chrome So it is much more direct. All of them will remain free in their basic versions. We can normally navigate as we have always done, but if we want to go further, if we want to use all those attractive AI options, Touch to pay a subscription. One that will be increasingly expensive. We will have to go to the idea. In Xataka | Anthropic has seen that their users do not stop using the 200 euros plan a month of their AI. They had to stop their feet

Google has shown the future of our videos and photos in Google Photos. A future full of false videos

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Google just announce what seemed inevitable after The power of its models of artificial intelligence (Ia) generative In photos and video: Creation of photos and videos in Google Photos from the images of our reel. A novelty that speaks for itself of the future that awaits our content. What’s new. As an AI giant, Google gradually carries all its new advances to the set of services of its catalog. Google Photos has always been a place to experiment with AI, as is the case with the Magic editor or mode Reimagine. Now goes beyond “small touch -ups”, and proposes to create short videos from the photos stored on the reel. At the moment there is not much to indicate to the assistant, who will accept as options “subtle movements” or the classic “I will be lucky” to create a video of up to six seconds. Another novelty of Google Photos is “Remix”, a function that transforms the style of the images we select, being able to choose between styles such as anime, comic, sketches. Google’s anime example remembers Ghibli at Chatgpt. It is a movement that remembers Ghibli moment of Openai, that “Servers melted. Unlike Chatgpt’s global availability, in launch the function will only be available in the United States. Where are we going. With the movement, Google turns a strong trend into personnel and mass: that of the generated videos that seem realistic And social networks and YouTube are flooded. And beyond fun, it presents serious consequences. In Tiktok, for example, there are more and more young people using their mobile to watch mental health videos, with a problem: The most viral are false. The platforms are becoming “Lays of AI“, and far from fighting these trends, they are amplifying them. Meta, for example, has integrated tools such as Advantage+ To create different versions of an ad with little investment. When they try to warn us that the content is created by AI, They are not sure what it is. In text, Openai had its own detector, but ended up closed after admitting that It was not necessary. Our false photos are already a millionaire business. Pieter Levels He is a well -controversial developer and entrepreneur who climbed very soon to the wave of the generative AI with two tools that generate huge amounts to be the only developer, and all using Models ‘Open Source’. One of them, with which he says to enter $ 139,000 Photoai.com. Its function is simple: after training a model with our selfies, we can create an AI model based on us, and then take pictures in the place or possess we want. It goes further that the proposal starts from Google photos, and is already able to make realistic videos of many types, including modeling sessions. Under the slogan “say goodbye to your photographer” points to a future (not very distant) where AI can take care of all the photos we want in paradisiacal enclaves. Fake places where to posture On Instagram, but without the need to move at home. The Spanish Freepik It also has Your alternative. And there are people doing chilling things: inventing their own memories From photographs. Apple plays to improve our memories, without creating them. With iOS 26Apple has presented a function that “gives life to our photos, but in a different sense. The company showed from its inception to Vision Pro as a platform to remember family moments with fidelity. Now it allows photos captured with any iPhone in normal mode become a spatial scene with depth (visible on our mobile, without the need for a virtual reality kit). Image | Xataka and Google In Xataka | How to create images from photos with artificial intelligence

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

Sending electricity without cables seemed to the future. Darpa has done it again, and the test has gone better than expected

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What are 800 watts? More or less what a microwave consumes running at medium power. And 8.6 kilometers? It is an approximate distance between the stations of Atocha and Chamartínin Madrid. It is actually somewhat lower, but it serves to get an idea. That is the scale of Darpa’s last experiment: a system that managed to transmit real energy with a laser, in a straight line, without cables and with a receiver that turns the light into usable electricity. It may seem little, but it is not. The important thing was not the amount, but the test. And it worked. What exactly Darpa has done. The United States Advanced Defense Research Projects (Darpa) has successfully completed The first phase of a program called Power, designed to explore new ways of transmitting long distance energy. In their most recent test, carried out in New Mexico, they managed to send a laser beam that delivered about 800 watts for 30 seconds to a receiver located 8.6 kilometers. The figure is important because it exceeds the previous records: until now, the best documented result was 230 watts at 1.7 kilometers. Although the agency has not revealed how much power it was originally issued, it is known that the system was able to maintain energy flow for periods even longer than those officially reported. According to those responsible for the project, it was not about demonstrating efficiency, but viability. The essential thing was to check if it was possible to build a functional system in a short time. And they did it in just three months, from the initial design to the final execution. The receiver was developed by Technc Technologies and uses commercial solar cells already available in the market. The objective was not to optimize performance to the maximum, but to prove that this technology can be launched with accessible components and without complex manufacturing processes. How this technology works. The idea behind the experiment is simple to understand, although technically complex: send energy through the air with a beam of light, and that when it arrives it can be used as electricity. The DARPA system is based on an infrared laser that points directly to a receiver composed of a conical mirror and solar cells. The mirror captures the ray and redirects it towards the panels, which convert light into electrical energy. Part of the equipment used during the test The interesting thing is that no exotic components or photovoltaic cells were used to measure, as in many laboratories. Commercial cells were used, ready to use, which reinforces the idea that this technology can be viable out of paper. As we say, the performance, for now, was not the priority. Receiver efficiency is around 20 %. The Power Receiver Array Demo system achieved a new record by transmitting laser energy with more power and greater scope than ever During the test, diffractive optics were also used, an unusual resource in this type of transmissions, and an integrated cooling system was implemented directly in the optical parts, manufactured with additive printing techniques. None of these innovations was scheduled at the beginning. They were solutions that arose on the march, as they faced the challenges of the experiment. Why do it with laser and not with radio waves. Transmitting long distance energy is not a new idea. For decades it has been investigated how to do it with radio or microwave waves, but these technologies have physical limitations that include their effectiveness. As IEEE points outto work, they need large antennas and systems of Beamforminga technique that allows the signal to be concentrated in one direction. The longer the distance, the greater the issuer must be, and the more difficult it is to focus the beam with precision. Compared to radio waves, the laser can focus much better: a narrow beam can be created almost without dispersion, at least in ideal conditions, According to Eric YeatmanVice President of the College of Science and Engineering of the University of Glasgow. Of course, not everything is advantages. The lasers also disperse with fog, clouds or dust. In adverse atmospheric conditions, microwaves remain more reliable. But for certain applications, especially if we talk about aerial networks or transmissions in clear environments, the laser is difficult to match. For the Power project leader in Darpa, Paul Jaffe, if it does not work with optics, it will not work in any way. What does this advance mean (and what is not). Darpa’s experiment did not solve all the challenges of wireless energy transmission. Efficiency remains low, the system is not yet prepared to operate in adverse conditions, and the transmitted power, although notable, is far from what a commercial infrastructure would need. But that was not important. The important thing was to demonstrate that technology can work outside the laboratory, with accessible components and in realistic terms. Images | Darpa (the main image shows an earlier test in 2019, at a lesser distance) In Xataka | Antimony under another flag: the Chinese mineral that continues to enter the US disguised for Thai or Mexican export

The AI ​​industry has become a kind of ‘game of thrones’. And that reveals a worrying truth for your future

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Sam Altman, CEO of Openai, must be pulling the hairs. In recent days Mark Zuckerberg, Meta CEO, “He has sneaked into his house” and has stolen no less than seven of his most valuable engineers. He has done it with the oldest tactics in the world. He money. In fact, the finish lines have shaken the foundations of the AI ​​industry, because it has not stopped spending true money with the aim of hiring all the talent of the IA that has been able. The situation has turned these engineers into the new superstars of Silicon Valley, with absolutely stratospheric salaries that are linked to the eternal promise that AI will end up changing the world. Goal is betting everything to that belief, and has decided to go for all spending huge fortunes Not already in data centersbut in talent. Let’s summarize: According to Altman himself, the Zuckerberg company offered initial bonds of 100 million dollars -although They were not exactly that – to some specific talents of AI to sign by goal. Fact offers reach 300 million dollars in four years According to Wired. Several of the “tempted” engineers per finishing have ended up accepting those millionaire offers. According to a internal statement From Zuckerberg himself, there have been 11 engineers who have signed by goal. Seven come from Openai, three from Google and one from Anthropic. Meta has also paid $ 14.9 billion for 49% participation in Scaleai, but above all for signing Alexandr Wangits CEO, which will now collect the new goal superintelligence division. They have also signed Nat Friedman, Exceiver of githubwhich will collect that new division with Wang. And they have just signed Daniel Gross, who Safe Superintelligence co -founded Together with Ilya Sutskever just a few months ago. For those last two target signings he has offered Buy a participation 49% in the Risk Capital Fund of Friedman and Gross, called NFDG. The value of the operation is unknown. Welcome to the Game of Thrones of the AI The last movements are nothing more than a confirmation of Zuckerberg’s voracity, which has moved quickly and with that irresistible hook of checks (almost) blank. And meanwhile, its competitors have been exposed to a reality: That AI has become a ‘game of thrones’. This industry is seeing from its beginnings and notable coming. At first, however, these internal movements were motivated by personal differences, visions or ambitions. Now many seem simply motivated by money. Thus, we saw how Openai’s origins became a new “Paypal Mafia” from which new startups arose. These first movements had a lot to do with a simple reason: some confudators and employees of OpenAi did not support Altman or did not share their vision. And that was how we saw several outstanding startups derived from those tensions: However, they all abandoned by OpenAi’s boat not so much for money – which probably also – as well as betting on another different vision. Of those “Morales” resignations We have gone to absolutely mercenary resignations in which money – and not the mission or vision of the company – is the clear factor of movement. That has made Altman recently said, there are two sides: that of the missionaries – which faithful to the companies in which they began their career, and that they believe in their vision and objectives – and the mercenaries that are sold to the highest bidder. AND According to Altman“The missionaries will overcome mercenaries.” The case of Sutskever, which confirmed yesterday the newsIt is especially painful, because now he runs out of his main adventure partner – Daniel Gross. The Sutskever startup is, as in the case of Murati, an absolute mystery: They have no visible productbut they have still achieved extraordinary investment rounds. It was in fact leaked that Zuckerberg came to make an offer to Sutskever To buy your startup, valued at 32,000 million dollars. Sutskever himself seemed to confirm that information by saying that “we feel flattered for their attention, but we are focused on our work.” Betrayals point to an awkward reality: AI is, above all, smoke These movements speak of a deeper problem in the AI ​​industry: those that can be trying to make their particular August, because it is not clear that the promises and the expectation generated by these companies end up becoming a reality. The clearest example is in the recent case of Daniel Gross, co -founder with Sutskever by Safe Superintelligence. In his message confirming the news of his partner’s departure, Sutskever said that “we have (the resources of) computing, the team and we know what to do. Together we will continue to build a safe superintelligence.” It is clear that Daniel Gross knew the same thing that Sutskever knows about the progress of that work, so, If they were so clear about the goal and knew how to achieve it, why change the side? If someone knew that he was going to win the race with his car, would he change it for another simply because they pay him for doing so? It makes no sense. And that tells us about the great truth of the world of AI: that despite all those expectations and all that money, nobody knows for sure if this technology will change the world as many believe it will change it. But in the meantime, the mercenaries will take advantage of it. Quevedo already said. Powerful gentleman is Don Money. Image | Max In Xataka | Four decades ago China decided to invest in forming millions of engineers. Today that plan gives it advantage in the race for AI

Zuckerberg has given the keys of the future to a child prodigy of 97

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There is the elite talent ecosystem in AI like a anthill in the rain by The 100 classes that Zuckerberg is disbursing (In some case even more) to be able to take a goal to not only scientists of a very high level, but to the type of people who are able to move the needle that matters most: that of the stock market capitalization of the entire company. In those, surely he is not doing all the noise that the person deserves in whose hands the real power of the goal has ended. It is the one who solved the most mundane and decisive problem: how to feed it. Alexandr Wang, 28 years oldHe did not create Chatgpt or Gemini, but he did built a fundamental infrastructure to make possible proposals. And now Zuckerberg has opted 14.3 billion dollars to this – insulting – young is the piece he needed to win the superintelligence career. Son of outstanding scientists in New Mexico, Wang is the founder of Scale AI, a company that does the dirty work, the one that nobody sees but everyone needs: label and prepare the data that train the most advanced AI models of the world. It is not glamorous, but it is indispensable. Like himself He explained“AI is reduced to three pillars: computation, data and algorithms. The computation is promoted by people like Nvidia, algorithmic advances come from great laboratories such as OpenAi, and the data is fed by Scale.” His great success was to understand something that in 2025 seems obvious but that a few years ago was: that the bottleneck of the AI ​​does not only go to algorithms or calculation power, but of quality data, something that We already count on Xataka In … 2019! And Wang, instead of pursuing a viral AI application, started selling shovels in full gold fever. And it turns out that everyone needed shovels. On Monday, Zuckerberg sent an internal memo that sounds more like a declaration of war than with simple reorganization. And it is fair to recognize that when Zuckerberg gets in visionary mode, he usually is right. Nine years ago he nailed him. Wang is a technical genius, but only explains a part of his meteoric ascent despite his youth. The least obvious is that Early understanding where the real value is. When researchers much more experienced than he focused on competing creating better algorithms, he realized that the future would be the one to control the data. “You can have the best algorithms in the world, but if you don’t have quality data, you have nothing,” said Wang. Scale AI became the data provider for OpenAi, Google, Microsoft and, of course, goal. Basically, It was placed in the modern AI supply chain center. Something that has earned more than 14,000 million. His business philosophy is also pure maturity and balance, not always present in entrepreneurs under 30 (Ahem). Keep personal control over each hiring. Also about each data delivery to its customers. “The quality is fractal, the high standards are filtered throughout the organization”, He said. It is also true that if Scale AI was in creditors, we would say that he could not delegate. As the scenario is very different, we praise its involvement. It is, in any case, obsessive to the extreme, but in the correct specific aspects and not with all the width of an organization. “If you really exceed something, if you go to 10 miles per hour of more and constantly go further, then you will improve faster than any other,” said. Pise the accelerator so as not to lift the foot from there. Meta needed Wang because his previous strategy has not finished working: Call 4 It has been a disappointment in a market in which a disappointment is lapidary. Eleven of the fourteen researchers of the flame team They have left target. Several of them have gone to Mistral. Zuckerberg has realized that he is losing a career he really wants to win. And his solution has been to buy the most valuable data ecosystem in the world and give the keys to its creator. Meta reorganization under the umbrella of ‘Meta Superintelligence Labs’ is much more than cosmetics. It is a tacit admission that AI cannot be another department within the finish line. It has to be a goal. And he has put a traditional one twenty -year -old Yann Lecun. It is a total commitment: that in the world of superintelligence, it matters more to understand how the AI ​​business works that the algorithms work. Wang has been selling shovels for years while others cavan. Now Zuckerberg has given him the treasure map. In Xataka | If in 2020 they would have asked us which technology would be more attractive in 2025 we would not have said ‘goal’. But here we are Outstanding image | Scale ai

China is building the fusion-fission reactor that the US canceled decades ago. The future of nuclear energy depends on your fate

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In the newly built Yoohu scientific island, next to the city of Nancheng, China advances discreetly in its plans to materialize a project that the United States explored and abandoned decades ago: the hybrid fusion-fission reactor. Xinghou-1. His name means “spark”, and is inspired by an appointment by Mao Zedong: “A single spark can set the entire meadow.” But it’s no small thing: it has behind An investment of more than 200,000 million yuanthe equivalent of 28,000 million dollars. The objective: build a hybrid central with 100 megawatts of electrical power, 300 megawatts of thermal power and, most importantly, a plasma energy gain factor (Q) greater than 30. An unprecedented achievement that could redefine the future of nuclear fusion nuclear energy. What all this means. To understand the magnitude of this objective, you have to put it in context. The nuclear fusion, the same process that feeds the stars, promises clean energy without the radioactive waste of current nuclear fission. The great challenge is get a fusion reaction to generate more energy of which consumes. The National Ignition Facility of the United States achieved in 2022 a historical milestone with a value q of 1.5demonstrating for the first time a net energy gain. The International Experimental Thermonuclear Reactor (Iter), a gigantic multinational project that is being built in France, aspires to achieve a Q> 10 to demonstrate the viability of large -scale fusion. Xinghuo, however, points to a Q> 30, the threshold that experts consider necessary for a merger plant to be commercially profitable. How does China plan to make this giant leap? The answer is in your hybrid approach. A fusion-fission reactor. That is, a reactor that uses the high energy neutrons generated by a fusion reaction (the “spark”) to bombard a mantle of fistible material such as uranium. This triggers a fission reaction that greatly multiplies energy production. In essence, use the fusion as a catalyst to make the fission much more efficient. The Xinghuo-1 project has already entered into the initial phase, which includes the tender and evaluation of its environmental impact. Its development is in charge of the state company Nuclear China Industry 23 Construction Corporation (CNI-23) and the private company Lianovation Superconductor. The road that the United States abandoned. The concept is not new. During the 1970s and 1980s, the United States Department of Energy investigated hybrid reactors before political priorities changed. Concerns about nuclear proliferation (hybrids can be used to produce plutonium) and a strategic commitment to “pure fusion” such as the definitive and cleaner solution led to the abandonment of this line of research. United States, and with it much of the West, They put all their chips on projects like the iter. China, on the other hand, has seen a shortcut in the hybrid model. While pure fusion follows decades away from its commercialization, a hybrid reactor like Xinghuo could connect a merger plant to the electricity grid much earlier. As soon as in 2030, According to SCMP. A coordinated national commitment. Xinghuo is part of a well -financed fusion ecosystem. China also maintains the East project, a Tokamak fusion reactor that has been able to maintain a 100 million degrees plasma for more than 17 minutes. The Huanliu-3 project, a newer and more powerful tokamak in experimentation phase. And the CFETR project, A large -scale pure fusion reactorconsidered the Chinese equivalent of Iter. The success of Xinghuo not only depends on its own advances, but also on the development of a complex industrial supply chain for key components such as superconductor magnets and the thermal vacuum chamber. If China makes Xinghuo work, either in 2030 or 2035, the implications would be seismic. They would demonstrate the viability of a route to commercial fusion energy that the rest of the world abandoned long ago. He could put Beijing years, if not decades, ahead in the energy race. Image | Xinhua In Xataka | The largest nuclear fusion project fails before the first ignition: Iter delays one of its key milestones at 2033

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