Russia is hiding its vehicles with paint

The scene is a of the most remembered of the First World War. It happened when the British Navy began painting their ships with huge stripes and geometric shapes in 1917, when many thought they had gone crazy: instead of hiding them, they made them more visible. However, that idea ended up spreading to thousands of ships because it achieved something much more important than hiding them: making it difficult for the enemy to know where to aim. War is no longer just against humans. The evolution of drones in Ukraine is pushing the battlefield into increasingly strange. For centuries, camouflage had an obvious objective: to deceive enemy soldiers, observers or pilots. Now Russia is recovering the technique born in World War I for a completely different purpose. Your trucks Ural and KAMAZ are appearing covered by geometric patterns black and white, similar to used by ships that were trying to confuse German submarines, but this time the recipient of the deception is not a person looking through a periscope, but an algorithm trained to recognize vehicles from the air. When the enemy is an AI. The proliferation of Ukrainian drones equipped with artificial vision systems is changing the rules of the game. These devices already do not depend exclusively of a human operator to identify targets in real time, but they can learn to recognize, classify and track vehicles using image recognition algorithms. The Russian bet consists of visually alter the appearance of their trucks to the point that the software cannot identify them with enough confidence to authorize an attack. It is an unprecedented form of war: physically modifying the world to exploit the limitations of artificial intelligence. USS West Mahomet in dazzling camouflage, 1918 The new race between drones and countermeasures. The painting is only the latest chapter in a long chain of improvisations that emerged during the war. Before and as we have been saying, they arrived metal cages about the armored ones, the so-called “turtle tanks”the protective netsthe structures spiked and even the placed logs on vehicles as improvised armor. Covered Russian bombers also appeared with old tires and warships painted with special patterns to break their silhouette seen from above. All of these solutions respond to the same phenomenon: drones have become such a ubiquitous threat that any method capable of making its identification difficult deserves to be tested. Vehicles are no longer safe in the rear. The importance of these measures reflects the extent to which drones are expanding the scope of the war. Thanks to artificial intelligence, attack systems can autonomously search for targets in huge areas, distinguish active vehicles from destroyed ones and even operate in coordinated swarms. Thus, logistics trucks that could previously move relatively calmly away from the front can now be located and attacked dozens of kilometers away. The rear has become an extension of the battlefield and every moving vehicle is a possible target. A battle between programmers and painters. The big question is whether these paints will really work. Algorithms can be quickly retrained and learn to recognize new patterns, while sensors such as infrared could be seen less affected than conventional cameras. However, even temporary effectiveness would have value if it forces the adversary to devote time, resources, and computing power to solving the problem. That is perhaps the most striking conclusion of the latter and rocambolesca History: The drone war in Ukraine has reached a point where combats no longer only pit weapons against weapons, but also anti camouflage softwareengineers against engineers and algorithms against paint stains designed specifically to fool a machine. Image | X, Wikimedia In Xataka | Thousands of elderly Ukrainians are isolated at the front. An army of drones is coming to your rescue In Xataka | Ukraine has been left without thousands of drones: an error classified them as electric cars and the Treasury has fried them with taxes

Anthropic has moved ahead of OpenAI in its race to go public. This is very bad news for Sam Altman

Anthropic confirmed on Monday which has formally registered its application for its long-awaited IPO. The operation may become the largest in the history of its type, and reminds us of another singular moment. In August 1995, Netscape went public and marked the beginning of the era of the Internet and dotcom fever. That turned out to be a bubble, but “good”. The question is if it will be repeated what happened then. The original Netscape moment. When Netscape went public, the company had only been on the market for 16 months and had not made a profit in all that time. It didn’t matter. The shares went on the market on August 9, 1995 with an initial price of $28. On its first day of trading, the value skyrocketed quicklyreaching a high of $75 before closing at $58.25. In December of that year it would reach its maximum value, $171 per share. The rest, as they say, it’s history. Netscape’s IPO sent the Nasdaq technology index soaring… until the dot-com bubble hit in 2000. Source: Reuters. Anthropic could break all records. Anthropic’s spectacular growth in recent months has made the company in the pretty girl of the AI ​​sector. The recent investment round has raised its valuation to $965 billionan incredible figure considering that the company is barely five years old. It has also overtaken OpenAI, whose valuation It is currently around $850 billion.. Both were moving to go public this year, but Anthropic has gone ahead again, something that at first glance seems like another victory against its main rival. What Netscape taught us. The explosion of Netscape in 1995 gave rise to fierce competition: companies promising gold and moro did not stop appearing, and the dotcom bubble grew. Too many companies managed to attract investment without a clear business plan and the situation ended up leading to the bursting of the bubble. A few companies survived and managed to become the great giants of today’s technology. good bubbles. That bubble could be described as “good” because although many companies failed, those that remained and those that were created later ended up leading this revolution called the internet. For many, the AI ​​bubble exists, but it is similar to the dotcom bubble in that: many companies could disappear if it bursts, but the final result, they say, will be positive for the evolution of our planet. But Anthropic is very different from Netscape. Although these IPOs present certain analogies, the situation of these companies is very different. Netscape suffered greatly to monetize its software and would end up in the hands of AOL in 1999 when its stage was closing. Anthropic has shown that its approach to businesses works, and in fact this past quarter it surprised by achieving profits (with small print) when everyone expected losses. And still, total uncertainty. Anthropic’s projection—like that of OpenAI—is spectacular on paper, but we are talking about companies that in recent years have not stopped burning money to achieve the most powerful models on the market. All technology companies have been devoured by the AI ​​fever, but today the only ones who win (a lot) money are those that provide components for AI infrastructure. Milestone. The bet is that this infrastructure will be necessary because we will all use AI models on a massive scale, but it is not at all clear that this expectation will be met. It may not, but Anthropic’s IPO will certainly mark a milestone in the dizzying growth of this segment. And victory for Amodei. This year we will likely see three historic IPOs. SpaceX seems to be the first in breaking records, but both Anthropic and OpenAI follow in their footsteps. That the company led by Dario Amodei has formally confirmed its preparation for that exit is a symbolic victory against its great rival, Sam Altman, who is also planning the IPO of OpenAI. In recent months Anthropic has managed to turn the tables, and has gone from being the pursuer to the leader of a race that certainly is not over yet. Image | Wikimedia In Xataka | Anthropic is one step away from being worth as much as Samsung. And what the market is buying is not Claude

Jeff Bezos asked his parents for their life savings to found Amazon. They only asked him one question: “What is the Internet?

In 1995, Jeff Bezos decided quit your stable job and well paid as an analyst on Wall Street to set up a business selling books online. At that time, Jeff Bezos was not the millionaire he is today, so he went to his parents and asked them for help investing in Amazon. His father’s first question was clear and direct: “What is the Internet?” Miguel and Jacklyn Bezos didn’t know much about this new technology, but they knew that their son was determined to make the most of it. According to the writer Brad Stone in the book “The dream store. Jeff Bezos and the era of Amazon“, Bezos warned his parents: “There is a 70% chance you will lose everything. “I just want to make sure I can come home for Thanksgiving if this doesn’t work out.” Without hesitation, the Bezos invested a good part of their life savings in their son’s project. Today, that initial investment has grown by 15,500% and is worth more than the GDP of Iceland and the Maldives combined, making his father so rich (his mother passed away a few weeks ago) that, according to what he said The Wall Street JournalMiguel Bezos is hiring a CEO to manage the assets of his Family Office. The origin of a historic fortune In the mid-nineties, Mike Bezos, of Cuban origin and with family ties in a small Valladolid municipalitydecided to entrust the family savings to his son Jeff and, in the process, becoming the first investors after the founding of Amazon. According to documents According to the US Securities and Exchange Commission (SEC), the Bezoses’ initial investment was through the purchase of 582,528 Amazon shares and, just a few months later, they expanded their investment by purchasing 847,716 more shares. In total, 1,430,244 shares at a purchase price of 17 cents per share. That leaves a total investment of $243,141.48. As and as revealed Bloombergit is quite a fortune for a couple formed by a single mother who had to raise her son alone with a very poor salary while studying a career, and of a Cuban immigrant who arrived in the United States at the age of 16. After thirty years, if the initial investment had remained intact it would amount to about $72.6 billion. However, after various sales and donations of shares, the family wealth of Jeff Bezos’ parents exceeds $40 billion. CEO wanted for a fortune According to estimates by The Wall Street Journal and Bloomberg, Aurora Borealisthe company in charge of managing Miguel Bezos’s assets, was founded in 2020 and, if it were a person, it would rank 48th among the largest fortunes in the world. list of Forbes millionaires. Aurora Borealis is currently one of the family offices most relevant in the world due to its volume of assets. The company manages assets of a very diverse nature, from those founding shares of Amazon to investments in funds and philanthropy projects through the Bezos Family Foundation. The growing assets of Jeff Bezos’ father have reached levels that have made it necessary to professionalize the team that manages it from Aurora Borealis, signing as CEO to Valeria Alberola, an executive with experience in managing large assets. For reference, the new manager of Amazon’s founding fortune managed the family office of the Walton familyfounders and owners of the Wallmart supermarket chain. Their goal, to make Miguel “Mike” Bezos even richer. The story of Miguel Bezos’s fortune is not only relevant for having facilitated the founding of one of the largest companies in the world, it is also a unique phenomenon since it is unusual for a family loan of just under $244,000 to end up making the founder’s parents millionaires, and not external investors. Was a risky bet which turned out well, but could also have left Jeff Bezos banished from Thanksgiving dinners and his parents with a serious financial problem. In Xataka | Technological millionaires boast of ecological awareness. Their superyachts and private jets tell another story Image | Flickr (George W. Bush Presidential Center)

five deals on headphones and watches from AliExpress

These days we are seeing a very large volume of technology offers, thanks in part to the AliExpress Summer Promo. Just yesterday we gave you several very interesting options if you wanted change mobile phone either renew your old consolewith some of these offers still available. However, today we are going in another direction and we are going to focus on smart watches and headphones. But first, the discount coupons for this AliExpress promo. Of course: some of them may be out of stock. Discount minimum purchase coupon 1 coupon 3 coupon 4 COUPON 3 euros 15 euros XATAKAES03 WEBEDES03 ESSS03 SSES03 6 euros 39 euros XATAKAES06 WEBEDES06 ESSS06 SSES6 10 euros 69 euros XATAKAES10 WEBEDES10 ESSS10 SSES10 20 euros 139 euros XATAKAES20 WEBEDES20 ESSS20 SSES20 30 euros 209 euros XATAKAES30 WEBEDES30 ESSS30 SSES30 45 euros 319 euros XATAKAES45 WEBEDES45 ESSS45 SSES45 65 euros 459 euros XATAKAES65 WEBEDES65 ESSS65 SSES65 110 euros 650 euros XATAKAES110 WEBEDES110 ESSS110 – Among all the options that exist right now, we bring you a selection of five watches and headphones that are at a very good price: AirPods 4 by 134 euros with the coupon ‘XATAKAES30’, in its version with active noise cancellation. Garmin Forerunner 165 by 122.31 euros with the coupon ‘XATAKAES10’, an economical option if you are looking for a Garmin watch. Huawei Watch Fit 4 Pro by 114.21 euros with the coupon ‘XATAKAES10’, one of the best smartwatches of 2025. Sony WH-1000XM6 Headphones by 254.74 euros with the coupon ‘XATAKAES30’, some of the best over-ear headphones out there. Garmin Forerunner 255 by 160.90 euros with the coupon ‘XATAKAES10’, a very light watch with a battery for about 14 days. AirPods 4 Among all the headphones on sale in this AliExpress promo, the AirPods 4 They are one of the best options in their version with active noise cancellation: they come out 134 euros with the coupon ‘XATAKAES30‘. They are very comfortable to use and have an autonomy that goes up to 30 hours. Furthermore, its audio quality, although it does not reach that of the AirPods Proit’s quite remarkable. The price could vary. We earn commission from these links Garmin Forerunner 165 Among all Garmin smartwatches, this Forerunner 165 is one of the most affordable options: it costs 122.31 euros with the coupon ‘XATAKAES10‘. It has a 1.2-inch screen and weighs just 39 grams, making it ideal for playing sports and going for a run. In addition, it offers autonomy for up to 11 days in its smartwatch mode and up to 19 hours with GPS. The price could vary. We earn commission from these links Huawei Watch Fit 4 Pro Although its successor is already in stores, this is a good time to get the Huawei Fit 4 Pro: it comes out 114.21 euros with the coupon ‘XATAKAES10‘. It is a device that stands out for offering a 1.82-inch screen with a very high peak brightness (ideal for outdoors), with a battery that lasts up to 10 days and all in just 30.4 grams of weight (without strap). The price could vary. We earn commission from these links Sony WH-1000XM6 Headphones If we talk about over-ear headphones, it is difficult to find a better option than the Sony WH-1000XM6. These headphones have one of the best noise cancellations we have tested from Xataka and outstanding sound. In addition, they have a very good microphone system to make calls with them and can offer around 30 or 35 hours of autonomy. They are leaving right now 254.74 euros with the coupon ‘XATAKAES30‘. The price could vary. We earn commission from these links Garmin Forerunner 255 We close with another Garmin, this time with the Forerunner 255: it comes out 160.90 euros with the coupon ‘XATAKAES10‘. It is another sporty smartwatch that stands out for offering a very comfortable and light experience with autonomy for approximately 14 days. It is very resistant (its glass uses Corning Gorilla Glass 3) and has 5 side buttons, which makes it very comfortable to use. The price could vary. We earn commission from these links Some of the links in this article are affiliated and may provide a benefit to Xataka. In case of non-availability, offers may vary. Images | Garmin, Apple, Huawei, Sony, Xataka In Xataka | DDR4 or DDR5? What RAM to choose so as not to pay even more than necessary in the middle of the price crisis In Xataka | Best smartwatch in quality price. Which one to buy based on use and seven recommended models

UK eyes a “hybrid navy” for the future. Navantia already has an autonomous proposal: the LASV75

The classic image of a navy is still easy to recognize: large ships, large crews and long campaigns far from port. But the future that is being drawn around the Royal Navy adds another layer. It is no longer just a matter of building larger or more sophisticated ships, but of combining them with autonomous platforms designed to take on specific missions alongside them. That’s where it comes in Navantia UKthe British subsidiary of the Spanish Navantia, with the LASV75: a proposal for that “hybrid marine” that the United Kingdom wants to explore. The concept appeared on the scene in the Farnborough Combined Naval Eventan event for the naval sector held in the United Kingdom. According to Navantia, the LASV75 has been designed in the country and is framed in a very specific idea: combining manned warships with unmanned escorts and autonomous technologies, including drones. The announcement also comes after the British subsidiary to complete the acquisition of Harland & Wolff assetsa movement with which it has reinforced its industrial presence beyond Spain. LASV75 is, in essence, a large autonomous ship surface conceived from the beginning to operate without a crew. Naval News details that the concept is based on a 75-meter modular hull and a displacement of more than 1,000 tons, a scale that distances it from the idea of ​​a small naval drone. The company proposes it as a platform capable of accompanying conventional ships, acting as escort or serving as support in broader operations. The key is that it is not born as an adapted boat, but as a design thought from the keel to function without personnel on board. A proposal for a navy with manned ships and autonomous escorts The usefulness of the LASV75 is not understood as that of a vessel specialized in a single task, but as that of a platform that changes depending on what it carries. It will be prepared for possible missions such as surveillance, escort, electronic warfare and attack-related operations, always linked to the installed payload. This precision helps us not to oversize the concept: it is not that the ship can do everything by itself from day one, but that Navantia UK presents it as a modular base for different missions. The promise is in that capacity for reconfiguration. Thinking about an autonomous system for relatively controlled waters is not the same as thinking about a platform capable of sustain presence in tough scenarios. Simon Jones summed it up at Farnborough with the example of the North Atlantic: to have a persistent and credible capability in severe cold conditions, you think you need something of this size. The other piece of the concept is how all of those systems connect to the ship. In the mockup presented during the event, a deck prepared for different payloads, interchangeable sensors and a modular mast arrangement could be seen. Everything is designed with standard interfaces, aligned with NATO, so that the modules are as interoperable and interchangeable as possible. It is a relevant detail in an allied naval force. For a proposal like this not to remain an attractive model, something more earthly is needed: shipyards capable of manufacturing it with rhythm, precision and scale. Navantia UK is investing 157 million pounds (about 181 million euros) in its four British centers, Appledore, Arnish, Belfast and Methil, with the intention of turning them into some of the most advanced facilities in Europe. Among the improvements is an automated panel line in Belfast, designed to make large pieces of steel faster, safer and more accurately. The idea is to bring these shipyards closer to the concept Shipyard 5.0 that the company already applies in Spain. The account raised by the company is not only about technology, but also about manufacturing. If, as Navantia suggests, an unmanned vessel can be built at a significantly lower cost than a conventional one and, furthermore, be produced with a certain amount of repetition, it fits better in a navy that seeks to increase its presence without multiplying human and industrial costs. The company adds to this logic a specific objective: to reduce the usual design and construction times of large naval vessels by up to 30%. So we are looking at a ship with a date of entry into service? Not really. What Navantia UK has taught It’s a concepta proposal to enter a conversation that is already open: what navies will be like when large manned ships have to coexist with autonomous escorts, interchangeable sensors and platforms designed and built with shorter deadlines. There the company plays a double card: the accumulated experience of a Spanish group with programs such as the F-100 frigates and the S-80 submarines, and a British industrial base that wants to gain weight in the future hybrid navy. Images | Navantia In Xataka | Four years ago, Spain was left without an essential weapon for war. Airbus is rebuilding it in Seville

We know exactly what AI costs, but we are unable to measure what it produces. And that is a serious problem

We know very well the cost of developing AI: mammoth data centershe electricity consumption skyrocketedhe tech capex through the roof… The problem is that it seems that all this is not having a return, or not enough to justify tremendous investment. The fear of the bubble is justified, but maybe we were wrong and the problem is another: that our measuring tape is broken. The hidden production. In an extensive and in-depth analysis in the newsletter Semianalisysuse the term ‘dark output’ in reference to the economic value that AI is generating, but which current measurement systems do not see well and therefore does not have an impact on GDP. This hidden production has two aspects: Hidden production by substitution: These are jobs that used to be done by a human for a price and that can now be done by AI for a fraction of that cost. There is a very graphic example with the writing of wills, a job that historically cost $400, which had dropped to $150, and in a single year AI has plummeted to $0.50. The work is done, but the economic transaction disappears from the data. New production that remains hidden: On the other side are the jobs that were not done because they were too expensive, but that AI has made so cheap that they can now be done. The example that Semianalysis provides are the bibliographic reviews whose price was up to $2,000 and that made them a very exclusive service. Now with AI you can do one of these reviews on all types of projects. The problem is that the economic trace is non-existent, except for the use of tokens or payment of subscriptions. Why it is important. The thesis of the analysis is that we are not facing a bubble, but that we are not measuring well the return that AI is producing and that is a problem that goes far beyond a simple statistical debate. Macroeconomic data is the metric by which investors detect real growth, central banks adjust interest rates, and companies decide whether to hire or automate. Making decisions of this caliber based on inaccurate data can have serious consequences. The difficulty of measuring it. Services and intellectual labor are much more complicated to measure than physical goods. It is very easy for a furniture factory to measure whether new machinery allows it to manufacture more chairs in less time. AI is helping to do tasks such as programming, writing documents, summarizing them or creating briefings and the way we measure it is the tokens consumed. The problem is that consuming more tokens can result in enormous benefits for the company, but they can also produce bad code and bad summaries. The value is in the production, in the output, not in what we spend to get to it. Precedents. Something similar happened during the computer boom in the 80s and 90s. At this time, macroeconomic data were not capable of detecting what the computer revolution was bringing. The solution did not arrive until 2013, when R&D and investment in intellectual property were included in GDP accounting. The result was that 3.6 trillion dollars were added retroactively, showing that in the year 2000 alone it represented 30% of the GDP. The other precedent is the so-called care economy, in reference to all the domestic and care work carried out mainly by women without receiving remuneration. The International Labor Organization estimated in 2018 that 16.4 billion hours of unpaid care work were performed, which would be equivalent to 11 trillion dollars or 9% of global GDP. Yes, but. That it is necessary to update our measuring tape does not detract from the fact that investment in AI infrastructure is truly dizzying. In 2025, big tech companies will invest $410 billion in AI and in 2026 the plan is to exceed the 650 billion dollars. The chief economist of Golman Sachs said that the contribution of all this crazy investment to US GDP was “basically zero.” In this sense, it is as risky to say that we are facing a bubble about to burst due to excess spending, as it is to assume that there is immense invisible wealth justifying every dollar invested. Image | Xataka with Gemini In Xataka | “The biggest mistake of all time”: Bill Gates let slip 400 billion when Microsoft didn’t buy Android

Anti-mosquito repellents have been effective for 40 years. Now mosquitoes are learning to appreciate them

Summer is practically upon us and this means that mosquitoes are also beginning to be the order of the day. Here one of the great allies we have to spend a good night is the repellent that keeps mosquitoes away from our skin, but the problem is that now these little insects seem to have unlocked a new and disturbing achievement: relating repellent to the best place to bite. A new problem. A recent study published in the magazine Journal of Experimental Biology points out that the classic repellent made up of the synthetic molecule N,N-Diethyl-meta-toluamide It has stopped repelling mosquitoes and started attracting them. In this study, the researchers focused on the Aedes aegyptithe infamous mosquito yellow feverdengue and Zika. From here, what they did was design a highly controlled laboratory environment with meshes, heat sources that simulated human warm blood or sugar rewards. But they combined all these ideal conditions with the presence of the smell of repellent. The result. From several cycles of exposure to these environmental conditions, they could see that mosquitoes had the ability to learn and create an association between the repellent and the presence of a good place to bite. This means that if a mosquito dares to cross the barrier left by the repellent and manages to bite, or feed on sugar in this case, its brain is reprogrammed and the repellent goes from being a “danger” signal to a “there is food here” signal. In fact, the data showed that, after this conditioning, more than 60% of mosquitoes They went back to searching for the smell of the repellent, ignoring its original repulsive nature. It takes years. Although the jump to “attraction” is novel, the reality is that entomologists have been keeping the fly behind their ears for some time. Without going any further, in 2013 a study already showed that mosquitoes developed tolerance to repellents. In this case, it was found that three hours after a first exposure to DEET, the insects ignored the repellent. And now we know a little more about what exactly happens neurobiologically. You have to use it well. These results have occurred in a very controlled environment and forcing scenarios that are very specific with guaranteed rewards. But in the real world we find greater chaos and a mosquito that smells the repellent and cannot bite, because the concentration is high, it does not receive the “reward” of blood, so that learning is not consolidated. That is why researchers point to the need for the repellent to be applied within the time frame and in adequate concentration. But this does not mean that we do not have to redesign public health strategies adapting them to this plasticity that mosquitoes have, since we are not just talking about an annoying bite, but we are talking about the fact that the mosquito is a transmitter of very important diseases such as malaria or Zika. Images | Erik Karits In Xataka | Mosquitoes attack me in summer and I tried these TikTok tricks to get rid of them

reach 600 km of autonomy

The largest battery manufacturer in the world already has a date to make the definitive leap to sodium batteriesa chemistry that has been promising for years to unseat lithium in the entry-level range. Wu Kai, chief scientist at CATL and member of the Chinese Academy of Engineering, confirmed at the Equipment Powerhouse Forum, held on May 30, that the manufacturing problems that were holding back production are now resolved, according to they counted from the Chinese media Sina. The goal is to reach 600 kilometers of autonomy on a single charge. Why does it matter? Sodium is much more abundant and cheaper than lithium, so each battery made with this chemistry reduces dependence on a scarce and volatile raw material. For the consumer, this may end up translating into more affordable prices for the electric car, precisely in the segment where the electric car dominates today. lithium iron phosphate (LFP). Of course, for CATL these batteries would be intended to rival the entry-level LFPs, but they will not be a substitute for the premium segment. In detail. The company is not going to limit sodium to just one product. Your roadmaps they point to integrate it into passenger cars, commercial vehicles, battery exchange networks and energy storage infrastructure. The first versions will be used for economical cars and storage systems, while the company is simultaneously developing higher density cells to get closer to that 600 km figure that is currently reserved for more expensive configurations. The news follows a recent milestone that saw CATL close a 60 GWh supply contract, the world’s largest order for sodium batteries to date, according to they point from CarNewsChina. Competence. All of this is happening while CATL crushes the competition in traditional chemistries. According to data of China EV DataTracker, in April 2026 installed 29.06 GWh of batteries for electric vehicles, giving it 46.6% of the national market. Of that volume, almost 19.53 GWh were LFP and 9.53 GWh were nickel-manganese-cobalt ternary packs. Sodium does not replace these lines, but rather opens a parallel production path. Between the lines. It is worth remembering where this comes from. CATL has already presented its Naxtra range of sodium batteries, with a version for passenger cars that reached 175 Wh/kg of energy density, the highest recorded in this chemistry, according to the company itself in 2025 and promising about 500 km of autonomy and more than 10,000 charging cycles. In addition, sodium provides a safety advantage, since by eliminating materials prone to combustion, it reduces the risk of fire compared to other chemicals. And now what. Sodium is just the short-term part. Looking ahead, CATL is already reorienting its research towards lithium-air batterieswhich use oxygen from the air as a reagent and promise energy densities much higher than those of current systems, whether liquid or solid-state electrolyte. We will have to wait to find out more information about it. Cover image | CATL In Xataka | Starting in July, all new cars manufactured will incorporate an annoying novelty: many more beeps

AI chips have always wanted to become more and more powerful. TSMC has just pointed out the true limit: efficiency

More performance? It is the first thing we usually ask of a new chip, almost without thinking about it. We have done it for years with the processors in our devices and we do it now with the chips that support much of the deployment of AI. More computing power, more speed, more scope to do things that previously seemed out of reach. But this logic begins to encounter a very specific limit: energy. What is making its way now is a less flashy idea, but increasingly difficult to ignore: progress will not only be measured by how much a chip calculates, but also by how much energy it needs to do it. The clearest clue comes from TSMC. We are talking about the largest contract chip manufacturer in the world, a company that does not sell processors under its own brand, but rather produces semiconductors designed by other players in the industry. According to ReutersKevin Zhang, senior vice president of business development, explained at a conference in Amsterdam that his customers are paying more and more attention to performance improvements that do not increase consumption. The pressure comes from very different profiles, from smartphone manufacturers to AI data center operators, all with a concern that we have seen growing in recent times: electricity cost and energy availability. The key is in the manufacturing. TSMC has not simply described a change in priorities. He has also placed it on his technological calendar with A14a future manufacturing technology planned around 2028. The firm expects that this process offers more than a 20% improvement in performance and, at the same time, reduces consumption by up to 30% compared to N2, the process that the company takes as a reference in that comparison. The key is that we are not talking about a specific processor, but rather the method with which subsequent chips can be manufactured. Not everything is about miniaturizing. For decades, reducing the size of transistors has been one of the great ways to gain performance and efficiency in chips. That logic doesn’t go away: transistor density remains within TSMC’s roadmap. What Zhang points out is that in the face of energy pressure from AI, other solutions, such as advanced packaging, chip stacking, and photonics, are also gaining weight. In parallel, as we pointed out a few weeks agoTSMC has decided not to use High-NA EUV, the lithography associated with ASML’s most advanced and ambitious equipment, in its A13 and A12 processes planned for 2029. The battle is also in the data. Huawei enters this conversation with Tau Scaling Lawa proposal that seeks to improve performance by accelerating the movement of data within the chips. The idea shifts part of the focus from the transistor to architecture and integration, two areas that gain weight when manufacturing smaller components is not enough. Along the same lines appears LogicFolding, which Huawei presents as a possible step beyond traditional 3D stacking, but which will depend on new design tools for folded architectures and better dissipation solutions for devices ranging from smartphones to AI data centers. Where are we going? TSMC does not speak for the entire industry, but its position makes the message carry. The firm suggests that, at least in its roadmap and in conversations with its clients, energy efficiency is gaining prominence that was previously more hidden behind performance. And it’s not a concern limited to AI data centers. Huawei, for its part, shows that the problem is also being addressed from architecture and integration, not just from the manufacturing process. The common point is not a closed conclusion, but an increasingly visible tension: chips will have to continue to be more capable, but each leap will be more difficult to justify if it increases consumption, heat or costs. Images | Xataka with Nano Banana In Xataka | Samsung has just achieved a milestone that has not been recorded for eight years. The problem is that it is a mirage

a star bar in a galaxy that is too young and gaseous

The James Webb Space Telescope has done it again. He has found a phenomenon in the Universe that contradicts the physics known until now. In this case, the discovery consists of a star bar in a galaxy that should not host a structure of this type. The good thing is that, properly understood, this discovery can help unravel a mystery for which there was no explanation. We will have to modify what we knew about galaxies, but in exchange we have answers to questions that we did not have before. A stellar bar in GN20. Many star bars are known in the nearby Universe. It is even known that there are some in our Milky Way. However, they are not found at points close to the Big Bang because they are slow to form, so they could not have been born so early. Furthermore, in those early stages of the Universe there was a lot of gas in the galaxies, the movement of which is believed to inhibit the formation of stellar bars. All this is what makes the find so rare. recently described by a team of scientists from Leiden University. And, thanks to James Webb, they have found one of these structures in GN20, a very old massive galaxy rich in gases, which formed about 1.5 billion years after the Big Bang. It is a galaxy that is too young and has too much gas to already host a formed star bar. Nothing fits. Let’s clarify concepts. Star bars are elongated arrangements of stars found at the centers of galaxies, rotating as a rigid unit. With this rotation they drag the gas around them and lead it to the galactic nucleus as if it were a funnel. This possibly serves to feed the galaxy’s central black hole. The detection is clear. The authors of the study have confirmed that they are looking at a star bar using three different methods. To begin with, it was carried out a technique called isofocal analysis. This consists of drawing a series of imaginary lines on a galaxy that join points with the same brightness. It is something similar to what is done on topographic maps with contour lines. Once this is done, changes in brightness can be detected that indicate the presence of specific structures. In this case, the galaxy’s light is stretched and rotated in a way that corresponds to a star bar. But that’s not all, its existence has also been proven with an independent mathematical analysis and with observations from the NOEMA telescope. Once this structure was detected, it had to be seen as clearly as possible. That’s where James Webb comes into play, whose near-infrared camera is capable of go beyond the veil of gas and dust which makes observations in the oldest stages of the Universe difficult. An impossible size. With all these observations, it was also possible to measure the galaxy, which extends over 7 kiloparsecs or, which is the same, 22,800 light years. It is too big for known physics. On the one hand, because of what we have already seen. To grow so much it should have started forming a long time ago and, supposedly, in the youngest stages of the Universe such a structure could not be formed. And, on the other hand, because such a large star bar should collapse according to the description of current models. Gas to the rescue. These scientists have discovered that, curiously, this galaxy has survived so long thanks to gas. We have seen that, normally, gas makes its formation difficult. But that happens when the gas moves slowly and orderly. However, in this case, in the inner disk of the galaxy there is highly turbulent gas that would act as a shield thanks to a phenomenon known as radial shear. Shear what? Normally, gas in galaxies moves in concentric circles, so that those in the center move faster and those outside move more slowly. This is known as differential rotation. In this case, however, there are turbulent movements, with the gas moving in a disorderly manner, in such a way that in different rings it rubs, drags and mixes. That’s radial shear. This, broadly speaking, helps the bar grow instead of hindering its formation. Two key points. When entering with the James Webb to observe the star bar closely, two important details were seen. On the one hand, at the point where it coincides with the outer disk of the galaxy, to the south, there is a large accumulation of gas that acts as a hot spot for the formation of many stars. On the other hand, in the center the bar contributes to sweeping a lot of material into the black hole of the galactic nucleus. What it teaches us. All of this makes us rethink the physics of star bars, but it also helps scientists understand something that until now was a mystery: inert elliptical giants. These are very large and young galaxies that They are already inactive. That is, new stars are no longer forming within it. With everything discovered in GN20, the authors of the study that has just been published consider that the star bars could be the reason. By creating star-forming hot spots and sweeping material into the black hole, they essentially make the galaxy live very fast. Create a lot of stars very quickly and use up your fuel early. They live fast, die young and leave an enigmatic corpse that, perhaps, is no longer so enigmatic. Image | NASA | Leindert A. Boogaard et al (2026). In Xataka | James Webb has just discovered oxygenated water in the most unexpected place we could think of: Pluto’s moon

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