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A student spent 100 hours in front of a 3D printer to make a multifunction prosthesis for his little sister

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I did my final year project (now called Final Degree) on the gasification conditions of a biofuel as best I could and then, on something else butterfly. The truth is that I barely remember it because it has rained a lot since then and I had no special interest in it. And here is probably some good advice in case a student reads us: if you can, choose a project that you are passionate about because you are going to dedicate many, many hours to it. And whoever says they are passionate, says they need, as happened to Vitaliy Bondarchuk, a 22-year-old mechanical engineering student at Bob Jones University in Greenville (South Carolina). Upon completion of your degree He was very clear about what his final year project was going to be.: a prosthetic arm for his little sister. A very close problem. Her sister, Bella, 7, was born with a congenital malformation: she was born without her left arm below the elbow. How does it count andIn his interview for PeopleVitaliy Bondarchuk knew from a young age that things were “a little more difficult or in some cases much more difficult” for her. Bondarchuk’s final year project required him to address a real-life problem and try to solve it. As explains Vitaliy for the American Society of Mechanical Engineers: “The challenge I tried to solve was helping him do simple tasks, things he enjoys.” According to the now graduate, he had never seen a multi-tool prosthesis: “It seemed like a very basic idea, a prosthetic arm with different accessories. But I could never find anything like it.” And that’s not to mention the cost: 3D printed prostheses They usually cost much less than conventional ones and it is possible to do them on your own by going to repositories such as those of e-NABLE. How did he do it. Bondarchuk knew that he “couldn’t create a complete prosthetic arm,” so he opted for a solution where accessories could be swapped out as needed. That is, a specific tool for each activity, such as painting or playing Uno, for which he created a card holder. To achieve this solution within the CBP deadline, he spent hours planning, documenting, measuring, designing and ensuring every detail. With creativity and perseverance on one hand and, on the other, measurements, SolidWorks for design and a 3D printer, he began to create prototypes, check the fit and start again. One of its great challenges was a reality applicable to prostheses: the design had to incorporate non-abrasive padding to avoid damaging the skin. The project. Bondarchuk estimates that he spent 100 hours developing the prosthetic arm and four months later, he had documentation, design manuals, different proposals and the multifunction prosthesis, with tools to play his favorite game, a flashlight or a brush holder. He got an A and his sister Bella got a prosthetic arm that she uses daily. The future: an endless prosthesis. Although Vitaliy Bondarchuk is already a working mechanical engineer, his project did not end with defending his PFC: he plans to continue modifying Bella’s prosthetic arm as she grows with the new hobbies she acquires. His mother has already dropped that the next one could be a driving accessory, account for People. In Xataka | Best home 3D printers. Which one to buy, resources for 3D printing and eight recommended models In Xataka | This is what I would have liked to know before starting out in the world of 3D printing. Cover | Vitaliy Bondarchuk via ASME

We have spent decades blaming a lack of willpower for obesity. Genetics Just Proved Us Wrong

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For decades we have heard about overweight and obesity that it is a problem of lack of willpower, of eating too much or moving too little. However, science has been trying to find more causes for years that we do not see with the naked eye about obesity to treat it as a complex, chronic disease with many different factors. Two great studies recently published studies have provided very important evidence that suggests that the way we relate to food and the size of our body in childhood are not always ‘choice’, but are, to a surprising extent, an inheritance dictated by our DNA and amplified by the environment. The weight of inheritance. The first of these studies published in PLOS Medicine analyzed to 86,000 children belonging to the Norwegian MoBa cohort. The goal here was to understand the extent to which parents’ BMI determines body size and the eating behaviors of their children at eight years of age. The results have exceeded what many geneticists expected, since, using structural equation modeling, researchers discovered that genetics explains about 79% of the association between the mother’s BMI and that of the child. When we look at the father, the figure is even more compelling, since DNA explains approximately 94% of the association between the paternal BMI and that of the child. Its importance. This means that when we see patterns of obesity that are repeated from parents to children and the determining factor is not mainly that “that house eats badly”, but that genetic variants are being transmitted that regulate key physiological aspects, from basal metabolism to the brain architecture that dictates the mechanisms of satiety and reward when eating. The environment. At this point, it is inevitable to ask a reasonable question: if genetics is so determining, why have obesity rates skyrocketed in recent decades if our human genome has barely changed? The answer the second study gives itpublished almost in parallel in PLOS Genetics where British researchers analyzed four large birth cohorts in the United Kingdom, namely people born in 1946, 1958, 1970 and 2001. The goal here was to measure how genetic risk interacts with the passage of time and changes in society. Its result. What they saw was precisely that the genetic variants associated with obesity have become much more predictive of BMI in more recent cohorts. That is to say, having a genetic predisposition to gain weight in the forties did not necessarily ‘condemn’ obesity, because the environment did not support it. However, being born with that same predisposition in 2001 exposes you to a much greater risk. Our genes interact with what epidemiologists call the obesogenic environment, which are sedentary urban environments, chronic stress, sleep disturbances and, above all, a constant, cheap and ubiquitous availability of ultra-processed, high-calorie-density foods. The modern environment acts as the trigger of a weapon that genetics had already loaded. Much further. This avalanche of empirical data collides head-on with social stigma. As organizations such as the Spanish Society for the Study of Obesity have been warning for some time, it is urgent banish “Eat less and move more” is the only recommendation given in medical consultations. It is for all this that understanding that obesity is a condition with a very deep genetic root, strongly conditioned by the environment, completely changes the rules of the game. Images | i yunmai In Xataka | We thought that quenching hunger with Ozempic was the definitive remedy against obesity. Until we look at the muscle

Venice spent 6 billion on a dam to stop the sea. There are those who already see it as the only future left for the Bay of Cádiz

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In the first two months of 2026, Venice had to raise its large mobile dock 30 times. In the last five years, he has had to do it another 108 times in total. Nobody can say that the work of 6 billion that was going to save the lagoon has not been necessary; What can be said is that it closes so often that it threatens to suffocate just what protects. 2,000 kilometers away, in the bay of Cádiz, the sea is eating away at the largest tidal-influenced saline wetland in Spain. And the shadow of the great dam begins to hover over the problem. Is Venice the future of the Silver Cup? Let’s start by x-raying the problem. The sea has been advancing over the bay for decades, that cannot surprise anyone. Perhaps the only thing that has changed in recent years is that salt farmers, aquaculturists, scientists and ecologists have sat at the same table with a common diagnosis. Its ambition is much smaller than that of Venice, but we are light years away from Venice. What they are asking for is something as simple as the competent administrations coordinating. Coordinate for what? To prevent a good part of the saline wetland from dying. This wetland is structured around the so-called “outside turns“: soft dikes that stop spring tides and storms. They are not “natural things”, they are the product of centuries of human work. And when there is someone who maintains them, they endure, they tame the sea, they control the storms. The problem is that there is almost no one to maintain them. Today, around 80% of the salt mines are abandoned; Of the 160 artisanal salt mines that existed in the 70s, four remain. In other words, what is happening in the Bay is a disaster labeled ‘natural’, but with socioeconomic roots. The result is clear. In points like the south of Puerto Real, the sea advances about 3 meters a year, according to calculations from the University of Cádiz. And it is now just over 200 meters from the first houses. A few kilometers from there, 94,000 inhabitants (the people of San Fernando) live below sea level and this protected natural park is their main line of defense. If the estimates of the Blue Bay Alliance They are right and the sea rises between 55 and 70 centimeters, there will be many people who will suffer the consequences. And we will put our hands on our heads and wonder how it was possible. Then, just then, people will start talking seriously about the wall. But it will be a mistake. So far no one has asked for the Venetian MOSE and, in fact, the ‘concrete’ that the Alliance talks about is something very different and much more surgical. His basic proposal is to return to the walls permeable to the tide: to use all our modern technology to try to rescue traditional engineering. That is, keeping an extremely complex ecosystem alive. And that’s the heart of the matter: the Venice Wall could protect the new parts of San Fernando when the time comes, but it couldn’t keep the bay alive. We have to decide if we want to invest Now it’s cheap, but the risk is diffuse. Or invest later, when it is expensive, but clear and real. Image | Alain Rouiller In Xataka | Venice spent 5 billion euros on flood barriers. Five years later they are already “unsustainable”

Meta spent at least $14 billion to win the AI ​​race. It’s been a year and it’s still exactly where it was.

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In Silicon Valley, and in technology in general, being huge does not guarantee being prepared to win every race. You can have money, talent, data centers, billions of users and machinery capable of integrating anything new into products we use every day. Still, when the board changes, so does the question. Meta has been trying for years to demonstrate that it can not only distribute artificial intelligence at scale, but rather compete at the center of the conversation. The problem is, when we think about chatbots, it still doesn’t seem to be the first name that comes to mind. 14.3 billion dollars. Ea is the figure that Reuters put on the table for a very specific operation. On June 13, 2025, the agency reported that Meta would take a 49% stake in Scale AI for that amount, in a deal that valued the startup at about $29 billion. Scale itself spoke of a significant new investment from Metaalthough he did not publish the exact amount of the investment. We are not talking, therefore, about everything that the company has allocated to AI, but rather about an identifiable bet within a much broader bill. What Meta saw in Scale AI. It was surely not one of those companies that we had on our radar when we were talking about artificial intelligence. It did not have the public shine of ChatGPT nor the showcase of Geminibut it did occupy an important place in the machinery that makes it possible to train and evaluate models. His work revolves around data that allows training, evaluating and improving AI systems, including labeled or curated data for training. The name behind the operation. Meta was not only betting on Scale AI, it was also incorporating Alexandr Wang into its new stage in artificial intelligence. The agency noted that the main driver of the move was to secure Scale’s founder to lead Meta’s superintelligence efforts. Scale itself confirmed that Wang would join Meta to work on its AI projects. So the investment should not be read solely as an entry into the capital of a data company, but as a way to accelerate leadership and talent. Context. The investment came at a time when Meta needed to strengthen its position in the advanced AI race. It occurred in a context marked by the poor reception of Call 4its latest large family of open models, and due to competitive pressure against companies like Google, OpenAI and DeepSeek. It was not just a matter of having more resources or adding a new piece to the organizational chart. What was at stake was to regain momentum in a field where other names were marking a good part of the technical, business and public conversation. The visible part. The most recognizable result of this new stage is Muse Sparkpresented by Meta as the first model of a new family created by Meta Superintelligence Labs. The company assures that it already powers Meta AI in its app and on the web, and that it is being deployed in WhatsApp, Instagram, Facebook, Messenger and its AI glasses. Here, precisely, there is an important point: Meta does not need to convince the user to install another application from scratch: it already has the channels. But converting presence within their own platforms into public relevance within generative AI is another battle. The limit. Just because the model is within WhatsApp or Instagram does not mean that people use it for many tasks. Muse Spark does not seem to be occupying the place that the GPT or Gemini models do, to name a few examples. Despite this, according to ReutersMuse Spark has performed well in languages ​​and visual compression, although it has lagged behind in coding and abstract reasoning. Meta has managed to be present, but has not yet demonstrated that this presence is enough to change habits. Strategic turn. Muse Spark does not follow the path that had given Llama so much visibility: The Wall Street Journal described it as a closed model. The company itself speaks of an API in private preview for selected partners, not open and general access for any developer. That is to say, Meta has put a new model into circulation, but it has done so in a more controlled way, more integrated into its products and less open than the strategy with which it had tried to differentiate itself in AI. The crack. Meta can integrate AI into gigantic products, but the generative AI race is also played in another field: that of the names that the user recognizes when they need a chatbot. And there Zuckerberg’s company does not seem to occupy the same place as ChatGPT, Gemini, Claude or Grok. The economic doubt has not disappeared either. And, a no small detail, advertising continues to be the engine of Meta’s income. Images | Mark Zuckerberg In Xataka | There is a company proving that AI can be the perfect interviewer for companies. His name is Orbio and he is from Madrid

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

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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

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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

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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

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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

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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

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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)

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