We’ve spent years unraveling a signal from space that shouldn’t exist. And finally we have a “Rosetta stone” to decipher it

It was the year 2018 when a team of Australian scientists detected a strange radio signal in the plane of the Milky Way. The radio pulse was too slow for any known astronomical object. It seemed more like some kind of anomaly or error in the telescopes than a new discovery. However, in 2025 another similar signal was located. And then another and another. Currently, there are at least 12 of these signals recorded, which have been named long-period radio transients (LPTs). Each of them includes a new feature that makes it impossible to find a common thread. Or at least it had been that way until now, since a new group of Australian researchers has located a sign that brings together several of the pieces of the puzzle. It has been so useful that it has been colloquially dubbed a space Rosetta stone. All the pieces together. The signal located in 2018 (although it was published in 2022) occurred every 18.18 minutes. With this periodicity, a star in the Milky Way increased its brightness for 30-60 seconds, and then decreased it again. Later a similar phenomenon was located, in which it was possible to see further. A binary system consisting of a white dwarf and a red dwarf was identified. The interaction between the two produced the emission of radio waves. However, when another LPT was detected, the emissions were not radio waves, but X-rays. How was a single phenomenon going to be defined if each one was different from the previous one? The key, finally, has been another LPT, initially located by the ASKAP telescope, of the Commonwealth Scientific and Industrial Research Organization (CSIRO). With it, and with the collaboration of other telescopes, a binary system composed of a white dwarf and a red dwarf has been identified, whose interaction gives rise to a periodic change in brightness, accompanied by the emission of radio waves and X-rays. All in one. With all the pieces, it has now been possible to reconstruct the event. Four telescopes to reconstruct history. The new LPT has been named ASKAP J1745-5051. It is not possible to know exactly how far away it is, although estimates place it between 1,300 and 30,000 light years away. Observations made with the ASKAP radio telescope made it possible to locate a periodic emission of radio waves every 81 minutes, which corresponded to a possible LPT. In order to check if the rest of the conditions that had been observed individually were met, it was observed with three other telescopes. On the one hand, space telescopes Swift and Einstein Probewith which X-ray emissions were detected. On the other hand, with the Southern Astrophysical Research Telescope (SOAR). With this, a binary system composed of a white dwarf and a red dwarf that orbit each other with a period of 81 minutes was identified. Everything fits. The full story. The conclusion when putting all the pieces together is the following. On each orbit, the white dwarf, which has a large mass concentrated in very little space, gravitationally attracts the red dwarf and extracts material from it. This is channeled by the magnetic field of the white dwarf itself until it reaches its surface, where it collides, producing a temperature increase of millions of degrees Celsius. Furthermore, this very violent interaction causes the release of energy in the form of X-rays. On the other hand, the gas accelerated by the colliding magnetic fields of both stars is what appears to produce the radio signals. A Rosetta Stone. The principal investigator of this new study It’s called Kovi Rose. We might think that this has had to do with the fact that the discovery is referred to as a space Rosetta stone. And maybe it has had a little influence, but the reality is that there are more reasons. The original Rosetta stone It was a fragment of Egyptian rock in which there was a text written in three different languages: ancient Greek, hieroglyphics and demotic writing. Because archaeologists of the time knew how to speak Greek, they were able to use it as a basis for understanding hieroglyphs. One language allowed them to reconstruct another. In this case, the new discovery is also in three languages: radio waves, detected by ASKAP, X-rays, with which Swift and Einstein Probe work, and visible light from SOAR. Three languages, three pieces that, when read together, can help to understand the whole much better. With this Rosetta stone, the authors of the study hope to be able to unravel many of these mysterious signals from the Universe. Image | Hans Hillewaert (Wikimedia Commons)/Magnific In Xataka | We believed that the pyramids of Giza did not hide any more secrets. we believed wrong

The United States promised to be very happy manufacturing its own chips. Nvidia just spent 150 billion in Taiwan

Houston, we have a problem. A couple of days ago the CEO of Nvidia stood on the stage at Computex in Taipei and said an inconvenient truth for the United States: “Taiwan is the epicenter of the AI ​​revolution. This is where chips and packaging are made. This is where systems are created. This is where AI supercomputers were created.” The setting was Computex 2026, Asia’s biggest tech event, and it wasn’t a compliment to the host, it’s a real depiction of how the industry works. It may sound paradoxical for an American company and at a time when The United States wants to reindustrialize with chipsbut he needs it. It is a structural issue. The harsh reality of profitability. Nvidia plans spend 150,000 million dollars a year in Taiwan, much more than the 100,000 million they spend now and with an abysmal difference compared to the 10,000 and 15,000 million five years ago. If it sounds silly, it’s because it is, but so is its billing: in the first fiscal quarter of 2026 billed 81.6 billion dollars, 85% more than the previous year in that same period. Also its benefit it’s already going off the charts: 58.3 billion, more than triple compared to the same period last year. That this money goes to Taiwan and not to the United States is due to technical and objective issues: Taiwan produces 90% of the most advanced chips in the world, according to a study by the Stimson Center. Of that Taiwanese production, TSMC controls 70% and is going to invest between 52,000 and 56,000 million this year. Bottom line: If Nvidia wants cutting-edge manufacturing capability, it has to be there. Why is it important. The best way to see it is to put Vera Rubin on the table, who In Huang’s words it is “probably the biggest product launch in Taiwan’s history.” Each system contains about two million parts and is assembled with 150 suppliers, almost all Taiwanese. This mechanism is not assembled by decree or in a legislature: it requires years and putting billions of dollars on the table. There is no factory in Arizona that can do something like this at least until 2030. Constellation will be Nvidia’s new headquarters in Taipei and will come to stay permanently: 4,000 engineering professionals will work in that center that according to Huang It will be operational by 2030. It is no longer that it buys in Taiwan, it is that the most valuable semiconductor company in the world is building the heart of its R&D in that core, an island 10,000 kilometers from the United States. A splash of cold water on Trump’s aspirations. Context. In January 2026, Taiwanese companies they committed to invest $250 billion in semiconductors and AI in the United States, as part of a trade agreement with Washington. Because Taiwan and the US are a symbiosis: each needs the other to maintain its position in the race for AI. The investment of a private company like Nvidia is another expression of this pact. In fact, Nvidia is not the only one: AMD is doing exactly the same: associate with Taiwanese manufacturers such as ASE, SPIL and Wiwynn with their Helios AI platform on the horizon (expected for the second half of 2026). That the two largest AI chip designers in the world strengthen ties with Taiwan is confirmation that the island’s industry is strategically necessary for the entire industry, not a particular bet by one firm. The elephant in the room: China. China’s role in this story is twofold: it is a threat and also a client. According to Reutersin 2026 Chinese companies have placed orders for more than two million units of the H200. Trade restrictions have made the operation difficult, but they have not been able to prevent it. One of the last cases point upon the arrival of a shipment of Nvidia AI chips to China via Japan. Nvidia lives in a contradiction from which it cannot escape: Its supply chain is on an island that China considers its own. China, which is its largest potential market, is blocked. Washington prohibits him from selling to Beijing while asking for independence from Taipei. And judging by his statements, Jensen Huang has bet everything on continuing to walk that wire. Yes, but. The Nvidia CEO forgot one problem in his speech: Taiwan makes the overwhelming majority of the world’s most advanced chips, but TSMC’s diversification into Arizona, Japan and Germany will not be ready before 2028 at best. That is to say, there are almost four years ahead in which Nvidia depends totally on Taiwan, a country that matters 97% of your energy. Furthermore, the atmosphere in the Strait of the same name is increasingly heated. Concentrating the production of its most critical component in a geographically hot spot is dangerous to say the least: if something explodes, there is no plan B. The closure of the Strait of Hormuz has reminded us of this the hard way. In Xataka | Huawei has found a way to counteract US sanctions: overcoming Moore’s Law In Xataka | US companies have always had a hard time making a lot of money in China. One industry is the exception: chips Cover | freepik and Jimmy Liao

Spotify has spent months deleting music made with AI. Now he wants to sell it as a premium product

In just a few weeks, Spotify has been changing its position on AI-generated music: months ago it removed more than 75 million fraudulent tracks, launched a distinctive seal so listeners knew when there were human hands on the other side, and tightened its filters against synthetic spam. But the turn came in the talk for investors on May 21, where it became clear that what worries Spotify is not AI, but generating income with it. The precedents. Let’s start with the moves Spotify has made to control the rampant presence of AI on the platform. In September 2025 the company revealed that had removed more than 75 million fraudulent leads of its platform in the previous twelve months. Many of the AI ​​actions were malicious: massive raises designed to steal royaltiesunauthorized voice clones and content which the company’s own executives called “slop.” By then Deezer had detected that it received more than 30,000 AI-generated tracks per day, and that up to 77% of its reproductions were fraudulent. Just a few weeks before the meeting with investors, on April 30, Spotify launched the “Verified by Spotify” seal, a verification mark that distinguishes human artists from the artificial ones, which are increasingly proliferating on the platform. To achieve it, musicians must demonstrate authentic activity, have linked social media accounts and concerts on the agenda (something that, as we have said over the last few months, does not guarantee anything, given the latest successes of AI-generated music, which have their following on networks and their continuous stream of releases). Deals with Universal. The main news before shareholders is a licensing agreement with Universal Music Group, the largest record label in the world, which will allow Spotify Premium subscribers create covers and remixes with generative AI of songs from the artists participating in the agreement. The tool will arrive as a paid add-on to the usual subscription. It was already known that Spotify was considering charging up to an additional $5.99 per month for a “Music Pro” tier with superfan features. Co-CEO Alex Norström said that with this tool, “one song would become 10,000 songs.” The agreement contemplates a revenue sharing model with participating artists, and it was made clear that participation will be completely voluntary by the musicians. This announcement is no surprise: we already knew that Spotify was working on AI products with Universal, Sony, Warner, Merlin and Believe, but without a closed legal framework. Universal had previously licensed its catalog to smaller AI platforms, such as Udio, Klay Vision and Stability AI, but here it is already we enter in the 761 million monthly active users and 293 million paying subscribers. Long live AI. In an interviewNorström made it clear that, faced with multiple tools that allow songs to be manipulated without permission, they want to be the “legal” and “controlled” option. Norström affirms that the synthetic music market already exists and that trying to stop it would be useless, so he proposes regulating it from within, with agreements between labels and platforms, and turning it into a source of income for all actors. To combat AI content that “makes you feel good in the moment” but ultimately leaves the user feeling like they’ve “wasted their time,” Spotify offers verified authors and artists who charge for it. High tension. The announcement comes at a time when many powerful players are beginning to understand the extent of what they are risking. On May 13, a week before the investor meeting, famous producer Jack Antonoff (he has worked with Taylor Swift, Lorde and Lana Del Rey) posted on Instagram against those who use AI to make music. Norström acknowledged in the interview that there is “some negativity out there” regarding AI and called it “reasonable,” although he added that it is due to “poorly aligned AI.” swerve I mean, potify has spent months arguing that the problem with AI in music was fraud, spam, and impersonation. Now it announces that the same synthetic content, controlled and profitable, may be desirable. As we said in our analysis of the algorithmic model that Spotify has built for years linked above, the platform has been encouraging listening that prioritizes the state of mind over the identity of the artist for some time. That is, the ideal breeding ground for synthetic music. All that was left was monetization. In Xataka | We put Spotify, Apple Music and YouTube Music to the test: music streaming has changed and there is no longer an obvious winner

We have spent decades ignoring an organ because we believed it was useless. Now they have seen that it is crucial in our longevity

In the center of the chest, just behind the breastbone, hides a small gland that has been systematically ignored by medicine when it comes to adult health: the thymus. Textbooks have long taught that this organ is vital in childhood to develop the immune system, but that It subsequently atrophies and turns into fat when we grow. But its role in the long run It’s not as irrelevant as we thought.. A turnaround. The paradigm that we were all taught at school has taken a big turn through a publication in Nature that has shown that the health of the thymus in adulthood not only matters, but is a determining factor in predicting how long we will live, the state of our cardiovascular health and also how we will respond to cancer. How it has been seen. The premise of this interesting study lies in a simple observation about people who did not have a thymus because it had been removed and the increase in mortality from all causes compared to those who have a healthy thymus. From here, a research team wanted to understand the true impact of a “sleeping” organ through different CT scans to calculate the thymic health of different people. The system analyzed the images of numerous people, including data from the National Lung Screening Trialwhich had more than 25,000 patients. By crossing the status of the thymus with the medical history and longevity of each individual, the results were so overwhelming that the researchers themselves they confessed It was the first time they had seen such spectacular results, since no one expected such a small organ to have such a clinical impact. Reduces mortality. This study has intensively analyzed the function of this gland in large groups of adults to discover that maintaining good thymic health is directly associated with lower overall mortality. But surprisingly, the study links having a healthy thymus with a lower incidence of cardiovascular mortality In oncology. This is where the finding takes on a revolutionary clinical dimension, since the data show a clear correlation between a healthy thymus and a lower incidence of lung cancer. But we can go further by pointing out that patients who undergo immunotherapy and have a healthy thymus respond greatly to the treatment, and even have a lower risk of suffering from cancer again. Preventive medicine. With this evidence, “thymic health” is positioned to become a very important parameter in the field of personalized medicine to gain insight into how a patient may accept a treatment. But in addition, monitoring its degradation could allow medicine to anticipate autoimmune diseases in those people who already have a higher risk. Images | kjpargeter in Magnific In Xataka | There are people who are 100 years old, but have an immune system of 30: a new study reveals how they manage to avoid cancer

Uber has spent its annual AI budget in four months because AI is making us addicted to it

Uber CTO Praveen Neppalli Naga recently explained how his company decided to deploy Claude Code to its 5,000 engineers. Adoption of the tool skyrocketed from 32% to 84% in one month, and everyone started using it so much that Uber ran into a problem: the real cost went from $500 to $2,000 per month per programmer, which destroyed the company’s spending forecasts: In four months the entire annual budget was spent to implement AI in the company. Welcome to the end of AI grants. Microsoft will also control spending. The Uber case is not an isolated event. Microsoft has virtually unlimited computing resources with Azure. However, has made the decision to withdraw Claude Code’s internal licenses from its developers in the Experiences + Devices division. The reason is twofold: first, they want to curb operating spending before the end of their fiscal year. Secondly, they want to force the use of their own tools with GitHub Copilot as the clear protagonist. GitHub ends its flat rate. This company, owned by Microsoft, also wants to prepare for the future, and from June 1, 2026 all GitHub Copilot plans abandon their “flat rate” option to move to a usage-based billing model. The base subscription price remains the same, but is converted into “AI credits” that will be consumed as the model is used. If developers use GitHub Copilot intensively, the credits will run out quickly and the system will stop unless we pay extra to continue working. On GitHub they pointed out that “charging a flat rate for autonomous agents is no longer sustainable.” Source: Hedgie (X). The graphic that explains it all. An X user named Hedgie warned that this is just the beginning and added a useful image to understand what is happening. The traditional SaaS (Software as a Service) software model works in a straight line. You pay a monthly fee and the server costs barely vary whether you use that app or service for ten minutes or ten hours: the profit margin is predictable, and the load is manageable. This is what happens with “flat rates” for streaming services, for example. Whether you watch more or fewer hours of Netflix doesn’t make a big difference to Netflix’s infrastructure. But agentic AI operates under an exponential curve. As seen in the image, when a programming AI agent like Claude Code starts working, it can use thousands or even millions of calls to the provider’s API (in this case, Anthropic) to receive, process and redeem millions of tokens. The flat rates offered by ChatGPT Plus or Claude Pro are adequate for conversational use of AI, but AI agents devour tokens and consumption skyrockets. That’s why Anthropic, OpenAI, and others put limits on their flat rates and even prohibit their use for agentic tasks (such as those provided by OpenClaw or scheduling agents). There they ask you to pay per use with the API, and that increases the costs. Crossroads. This situation puts companies like OpenAI, Anthropic and Google in a dilemma. If their clients (like Uber) begin to cut back on the use of AI to protect their budgets, these companies’ revenues may be dampened and that will affect their valuations. The other potential solution is to artificially lower prices to keep those customers happy, but that means absorbing significant operating losses that would harm your profitability. AI dependence and addiction. These companies are realizing that using AI can be really beneficial, but also expensive. Anthropic or OpenAI’s business model is not new, and we have seen that pattern in the past. A company launches a product or service, often free or very cheap, but after gaining a sufficient volume of users it ends up changing its conditions to charge you more and more for that product or service. It’s already happened. We have a good example in Google Photos or streaming services, which trapped us and then squeezed us with increasingly higher monthly fees. With AI the scenario is the same: catch us now with reduced costs and then cover the free service and make us pay if we really want to take advantage of it. There will always be alternatives such as using local models or opting for cheaper platforms, of course, but for those who offer the most advanced models and features the strategy is clear. In Xataka | Nvidia’s financial results are simply dizzying. And it still hasn’t sold a single chip in China

500 million euros are going to be spent on expanding the circuit in their town

Formula 1 is much more than a motor sport. Each Grand Prix moves billions in advertising interests and investmentsthat’s why the main cities in the world they fight for having his own circuit in the championship. In Denmark, a group of investors wants build a circuit capable of entering the orbit of Formula 1. The plan puts on the table some 510 million euros in exchange, and is proposed on the foundations of a small circuit that already exists located in Padborg, a town in the south of Denmark with only 4,393 inhabitants. Two millionaires and the first Danish GP Perhaps the names of Henrik Lyngbye Pedersen and his son Mathias Lyngbye Villadsen will not be familiar to you. But if we tell you that his last name comes from one of the founding members of the main Danish pharmaceutical companymaybe they give you some clue. Both are heirs to the fortune of the brothers Harald and Thorvald Pedersenfounders of Novo Nordisk, creator of Ozempicand they have proposed an investment of 3.8 billion Danish crowns, about 510 million euros, to build a circuit with very serious aspirations. As and how to publish Motorpassionits objective is to build a track 6,006 meters long, with 18 curves and capacity for 100,000 spectators. Along with the expansion of the current layout, it is also planned to build a hotel complex, a conference center and a karting and motocross circuit. All this with the intention that the venue does not depend solely on the celebration of one Grand Prix a year, but rather leaves the door open to other events related to the world of motorsport. The current Padborg Park circuit is located between Padborg and Tinglev, on the land of a former airfield that opened as a circuit in 2003. Now, Henrik Lyngbye Pedersen and his son Mathias want to expand that space and officially turn it into the Denmark Circuit. Current status of the Padborg circuit The proposal to remodel this old airfield into a first-class circuit approved for Formula 1 It seeks to attract audiences from Denmark, Germany and the Netherlands, taking advantage of its proximity to the border and the connection routes with cities such as Flensburg. Rebecca Palmberg Steele, project director, assured that “the circuit will be located in a place that is the gateway to Europe, and this project has the potential to boost both the sport, the business world and the local community,” declared the one responsible for the Danish media Børsen. 510 million to bring Formula 1 to your home The heirs of Novo Nordisk have estimated an initial investment of 3.8 billion Danish crowns to create what would be the first circuit capable of hosting a Danish Grand Prix in the future. It is a huge investment for a facility that, until now, functioned as a minor circuit and as a training space. The circuit design has already been assigned to the Wurz Design studiofounded by former Formula 1 driver Alexander Wurz, who already has extensive experience in the private layout design for training and competition, such as Qiddiya Speed ​​Park Circuit in Riyadh or the RACC Driver Training Center in Madrid. The more than six kilometers of track would place it among the longest routes in Europewhile the capacity of 100,000 people makes it one of the largest venues in the north of the continent. However, for a circuit to host a Grand Prix, an FIA Grade 1 license is required, the highest level of homologation. The promoters of the project assure that this is the goal of the project, although they also make it clear that entering the Formula 1 calendar will not be easy since new tests are only incorporated when one of the venues stop celebrating themso the heirs of Novo Nordisk face an investment whose return is not assured. In Xataka | The Madrid F1 circuit is not yet finished but it has already had its first accident on the track: four workers with a van Image | Unsplash (Marti Sierra , hannah thiel)

We have spent years looking for how to stop muscle fragility as we age. The answer was hidden in garlic

Aging brings with it a series of inevitable tolls, and one of the most limiting is loss of muscle mass and strengthwhich is a problem known as sarcopenia. This can cause a person to not be able to move comfortably around their home, causing them to have significant limitations in their daily lives. But now we have seen that there is a compound in garlic that can help us delay this agingalthough without being magical. A new study. Now, a promising new study published in the prestigious magazine Cell Metabolism has identified a specific compound derived from garlic that improves age-related muscle function. But we must keep in mind that we are not talking about the raw garlic that we add to the pan and which for many has a horrible taste, but rather about a very particular metabolite present in the aged garlic extract. The protagonist. This study focuses specifically on S-1-propenyl-L-cysteine ​​(S1PC), which is one of the metabolites that is generated during the aging process of garlic. This is where we can find a little help to delay aging. But it is essential to avoid the promises of “anti-aging elixir”, since eating raw garlic daily will not provide you with the necessary doses of this compound to replicate the results. Furthermore, it must be taken into account that it is not a “cure against old age”, but rather a solid therapeutic target to combat muscle fragility and sarcopenia. A surprising connection. The most fascinating thing about the study is not only what S1PC does, but how it does it, since when ingested it directly activates an enzyme called LKB1 that encourages adipose tissue to secrete a key protein called eNAMPT into the bloodstream. This protein is essential, since when it reaches the brain it acts on the regulatory centers of systemic metabolism and causes nervous and chemical signals to be sent from the brain that drastically improve the function of skeletal muscle tissue. Just what we want to improve in aging. Your results. To verify that this mechanism really works, the researchers carried out tests in both animal models and humans. Here, aged mice, after being administered the metabolite S1PC, improved their muscle strength and reduced markers of frailty related to aging. In the case of humans, the team conducted a human clinical trial using aged garlic extract, and the results confirmed that consumption of this compound raises the levels of eNAMPT that we have discussed before. But the most interesting thing is that the effect is greater in those people with enough body fat, which makes sense, since this protein is released by the adipose tissue itself. Images | wirestock at Magnific In Xataka | It is possible to convince an AI that shoving garlic up your ass is a good idea. You just need the right words

20,000 million more will be spent on a factory with little water and labor

TSMC’s journey in Arizona (USA) continues. Yesterday the board of directors of this chip manufacturer, the largest on the planetapproved an injection of 20 billion dollars in what is already its most advanced semiconductor production plant of any it has in the US. The start-up of this factory It was full of setbacks.. In fact, it started production of integrated circuits almost a year late due to how much it cost TSMC. find qualified personnel that I needed. At the beginning of 2025 the first good news arrived. The plant had been producing semiconductors for several months at the N4 lithography node, which belongs to the 5nm FinFET family, and was ready to deliver to Apple the first batch of SoC A16 and SiP S9. This factory, known as Fab 21, made $514 million in profit last year according to Yeh Chun-Hsienthe minister of the National Development Council of Taiwan. This is not bad at all if we keep in mind that during the first year of operation, semiconductor plants do not usually deliver profits. In this scenario, the investment of an additional 20 billion dollars in the expansion of Fab 21, which is the purpose of this money, makes sense. In fact, this project is part of the $165 billion expansion plan that TSMC presented last year. However, not everything is going well for this company in Arizona. According to the newspaper Taipei Timesthe shortage of labor, and, above all, of water, is giving many headaches to the management leadership of this factory. And solving this last problem is not easy. Arizona’s water shortage is a huge challenge for TSMC Arizona is the second driest state in the US only behind Nevada. Semiconductor factories need a large amount of this resource, but it is not ordinary water like what comes out of our taps; They need a type of water almost impossible to find in nature. And its scarcity is getting worse. In fact, it is slowly becoming a systemic threat to the industry that sustains the artificial intelligencecell phones, electric cars and virtually any device that has an advanced chip inside. The water we are familiar with, such as that which comes from the tap, spring water, and even bottled mineral water, is full of impurities. It contains bacteria, dissolved gases, mineral salts and microscopic particles in suspension. This is not a problem for most of the everyday applications we usually use it for, but This water is not suitable for making chips. Even the slightest impurity invisible to the human eye is pure poison when involved in the production of cutting-edge semiconductors, such as the 2nm integrated circuits currently being manufactured by TSMC. The industry standard calls for water with an electrical resistivity of 18.2 megohms per centimeter The integrated circuit manufacturing process requires cleaning silicon wafers dozens of times. Every time a geometric pattern is transferred to wafers using lithography, they need to be cleaned. Also after pouring chemical reagents and photoresist fluids on them. However, the water used to remove any residue that may have deposited on the wafer cannot have the slightest impurity. It must be absolutely pure. In fact, the industry standard calls for water with an electrical resistivity of 18.2 megaohms per centimeter, which is the theoretical limit of water purity at room temperature. The problem is that producing ultrapure water is not easy. And it is not because it is necessary to subject it to reverse osmosis in multiple stages and ion exchange treatments. It is also necessary to degas it under vacuum, eliminate any microorganisms it may contain with ultraviolet light and filter it using membranes expressly designed to capture the slightest impurity. In this article we do not need to investigate these processes in detail, but there is something that we cannot ignore: this treatment consumes energy and requires the use of a large amount of chemicals. Furthermore, a significant part of the water that is processed is not transformed into ultrapure water, so it cannot be used. Once the water has been subjected to this demanding treatment, it acquires such a high purity that it becomes corrosive if it comes into contact with a very wide range of materials. Because it lacks its own ions, ultrapure water absorbs ions from virtually any material it comes into contact with. This is the reason why the pipes used to transport it must be made of materials immune to corrosion, such as PVDF (polyvinylidene fluoride), a fluorinated thermoplastic polymer similar to Teflon, non-polluting and extremely stable because it does not give up ions to ultrapure water. A single cutting-edge semiconductor plant consumes between 10 and 30 million liters of ultrapure water every day. This range is equivalent to the daily drinking water consumption of a city of between 50,000 and 150,000 inhabitants. Plus, there’s another challenge we haven’t looked into yet: ultrapure water degrades very quicklyso chip factories must have a very sophisticated production and distribution system capable of working in real time to deliver the ultrapure water required by the manufacturing process of advanced integrated circuits. Image | TSMC More information | Taipei Times In Xataka | Intel’s plan against an unattainable TSMC: beat Samsung and consolidate itself as the second largest chip manufacturer

Big Tech spent $725 billion on AI. Then they ran out of money in their pockets.

This is non-stop. Big tech companies have already spent an irreverent amount of money in 2025 to not lose footing in the AI ​​race, but this year things are getting better. Together Amazon, Microsoft, Google and Meta have announced a capex of $725 billion, which represents an astonishing 77% growth over last year’s (also astonishing) figure of $410 billion. The numbers they are dizzyingbut they are having a worrying consequence. A lot of money saved. For years, Big Tech has been able to boast extraordinary accounting books in which revenues and profits have practically not stopped growing. They’ve built up exceptional cash flow, but now they’re taking advantage of all that money to fund an AI race that doesn’t seem to end at the moment. Cash flow plummets. The amount of investments is of such magnitude that all of these hyperscalers have encountered a problem: their cash flow—the available liquidity— has collapsedthey indicate in the Financial Times, and now it is at levels that we have not seen since 2014. Before, the average was to have 45,000 million dollars since the pandemic, but now that figure is expected to fall to 4,000 million in the third quarter of 2025. Source: Financial Times. Let’s see who spends more. Amazon leads this unique race for spend more than others. The company led by Andy Jassy foresees an investment of 200,000 million dollars in 2026, which will lead it to burn about 10,000 million of its cash flow this year. Meta will continue that same trend in the second half of the year, while Microsoft could enter negative territory in at least one quarter. Even Google, which remains positive, will post its lowest level of cash flow in a decade. Debt, new fuel for AI. To finance this deployment, both Alphabet and Meta have had to resort to massive debt issues and suspend their share buyback programs for the first time in almost a decade. Alphabet issued $48 billion in bonds recently (in February a partdoes some days other), while Meta sumo 55,000 million debt in just six months. Bet now to win later. This strategy marks a paradigm shift: it is no longer investing only with the income one has in cash, but Big Tech is mortgaging its future. The objective is what we have mentioned time and time again: not to lose step in a race where, as Zuckerberg said, staying behind is not an option. Disguising the beads. These companies fear Wall Street’s reaction to these movements, so they are moving billions of dollars in infrastructure but they are doing so outside of their conventional balance sheets. In the FT they explain how Big Tech are using special investment vehicles that allow them to attract external capital and hide debt. They are also more opaque about who will be impacted if the AI ​​does not meet expectations. The memory crisis is also having an impact: in such a way that Microsoft already has added 25 billion dollars to its investment needs this year just to be able to assume the increase in component prices. The danger of going with the flow. CEOs justify these moves by comparing them to what happened with cloud investment two decades ago, but analysts warn: investing when the competition invests is not always a strategic choice, but rather a forced response to staying out of the race. In Xataka | The chip crisis is leaving no stone unturned: motherboards seemed untouchable, but their time has come

California wants to preserve mountain lion DNA, so it spent $100 million on a highway bridge

While for humanity roads are essential means of communication, for animals it is the opposite: a barrier that can be lethal. In fact, every year millions of animals die trying to cross roads that cut their habitats in half: we see the same thing in Iran with the Asiatic cheetah that in the India, where elephants are run over (although yes, with trains) is one of the big problems of its railway system. One of the solutions proposed by conservation biology are wildlife steps: an infrastructure, whether a bridge, tunnel or walkway, that allows animals to move safely through their domain by crossing roads or railway tracks. California just took this idea to another level with the largest structure of its kind ever built. The megastep for California pumas. It is about the Wallis Annenberg Wildlife Crossinga colossal plant bridge about 64 meters wide that crosses the US-101 highway as it passes through Agoura Hills, in Los Angeles. The structure has more than 11.8 million kilos of concrete, 82 bridge beams and more than 6,000 cubic meters of living soil to house more than 50 species of plants native to the region. The idea is to faithfully recreate the coastal sage scrub or coastal sage scrub, aromatic shrubs that are abundant in the area, but on one of the busiest highways. The project is a public-private collaboration that started formally on Earth Day 2022 and has cost $114 million. Its inauguration is scheduled for autumn of this year, thus becoming the largest wildlife crossing in the world. California Government Why is it important. The United States National Park Service has spent decades documenting that mountain lions in the Santa Monica Mountains are genetically isolated by roads and urbanization. And an isolated population is doomed: it does not have genetic exchange with other groups, there is endogamy, genetic variability is lost and the species loses its capacity to adapt. That is to say, the passage of US-101 not only kills animals by being run over, but it is also an evolutionary trap. That said, the bridge is not an infrastructure that will benefit exclusively the puma: it is also designed for red lynxes, foxes, coyotes, reptiles and a long chain of species whose mobility is essential for the ecosystem. Finally, the structure is framed within the California 30×30 objectivewhich aims to conserve 30% of the state’s coastal lands and waters before 2030, in this case connecting the protected spaces of the Santa Monica Mountains with the environment. Context. Wildlife passages are not something new: the first were built in the 50s of the 20th century, in France. In fact, Europe has been developing this technology for more than 70 years and has a long list of structures of this type. What is unique about this project is not so much the structure itself, but its scale and location: it is in a huge city and crosses a 10-lane highway where More than 300,000 vehicles pass through each daynot on a secondary road in deep America. However, there are already promising precedents such as the recently inaugurated Colorado’s Greenland Wildlife Overpass on I-25, connecting approximately 15,800 hectares (39,000 acres) of habitat for deer, elk, mountain lions and bears. Scientific literature also supports the bet: after analyzing 89 fauna passages in Europe, North America and Australia, this study published in Biological Conservation concluded that they are highly effective and that they reduce animal mortality due to roadkill by up to 90% compared to unprotected stretches. Other wildlife passes. Although the Wallis Annenberg Wildlife Crossing will be the largest in the world, there are other wildlife crossings (mainly in Europe) equally ambitious: Natuurbrug Zanderij Crailooin the Netherlands. At 800 meters long and 50 meters wide, it is the longest ecoduct in the world. Doñana National Park It has a network of wildlife crossings and ecoducts built specifically for the Iberian lynx, whose 80% of deaths occur due to being run over. On the A4 highway in the Lower Silesian Forest in Poland there are 15 ecoducts and wildlife crossings. It has been monitored for three years its use by wolves, ungulates and other carnivores. Veluwe ecoduct network in the Netherlands. Nine ecoducts in a natural area of ​​1,000 square kilometers, with almost 5,000 deer and wild boar crossings documented in a single year. Ecoduct on the Türkiye – Central Europe highway. It was built after multiple attacks by brown bears, achieving reduce collisions to zero. Yes, but. Despite its potential ecological value, the project has faced criticism for its high cost: It started with a budget of 92 million and in addition to being delayed, it will end up costing approximately $114 million. In addition, there are those who wonder whether a single structure is enough to save an entire population, suggesting that it is more necessary to implement smaller-scale but more numerous interventions rather than a single megaproject. From a strictly scientific point of view, the effectiveness of these steps is neither automatic nor guaranteed. A paper published in the Journal of Applied Ecology cautions that most available studies measure the number of crossings but not the actual impact on population viability, and that population-level effects remain difficult to quantify. Furthermore, design matters: those structures less than 20 meters wide are used noticeably less by animals. And if it has a bad location it can end up being useless. We will have to wait years of monitoring the Wallis Annenberg Wildlife Crossing to determine its effect. In Xataka | There are only 27 left in the wild and the war in Iran is their sentence: the drama of the rarest and rarest feline on the planet In Xataka | We have a serious problem with the extinction of bees. The United Kingdom wants to solve it with bricks Cover | California Government and Priscilla Du Preez 🇨🇦

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