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There is only one Bugatti La Voiture Noire and no one knew who owned it. The answer was in the Porsche garage

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For years, the owner of the most exclusive car in the world It was quite a mystery. Only one example of the Bugatti La Voiture Noire exists and, since its presentation at the 2019 Geneva Motor Show, no one has officially confirmed who had purchased it. That made the Internet full of theories and speculation: from elite footballers to oil sheiks. So much so that the then CEO of Bugatti, Stephan Winkelmann, publicly denied that the buyer of this gem of collecting out Cristiano Ronaldoone of the most repeated names for having several Bugatti in his garage and enough financial liquidity to afford their purchase. The mystery had remained intact until now. A work of art inspired by a missing car. He The Black Vehicle was born as an obsessive tribute to one of the most legendary automobiles in history. Bugatti designed this unique example looking at the Type 57 SC Atlanticcreated in the 1930s by Jean Bugatti, son of founder Ettore Bugatti. Only four units of that Atlantic were manufactured, and one of them, precisely the one known as La Voiture Noire, disappeared without a trace before the Second World War, and has never been found. The 2019 model takes up that heritage with an overwhelming technical proposal in the purest Bugatti style: 8-liter W16 engine with 1,500 HP, four turbochargers and six exhaust pipes that emerge on each side of the body as a direct nod to the design of the original Atlantic. With its black lacquer finish, sculptural lines and the weight of a legend on the body, Bugatti sold this unique specimen to an unknown owner for around 16.7 million euros. The mystery solved: Ferdinand Piëch, grandson of Porsche. It is now known that the Bugatti La Voiture Noire never really left his home since it was Ferdinand Piëch who acquired it. Piëch was the grandson of Ferdinand Porsche, founder of the brand that bears his surname, and one of the most influential engineers and managers of the 20th century in the automotive world. During his time at the head of the Volkswagen Group, he was the main architect of the Bugatti revival as an extreme luxury hypercar brand, driving the development of the impressive W16 engine that beats under the hood of La Voiture Noire. The history of that engine has its own epic. The concept of the W16 block was hand sketched by Piëch On paper he was traveling at 320 km/h on a Japanese bullet train. As if it were a premonition, that same engine turned the Bugatti Veyron into the first production car to become a missile. capable of exceeding 400 km/h. Ferdinand Piech passed away in 2019the same year that La Voiture Noire was presented to the world. The car, however, was not delivered until 2021, then passing into the hands of his son Anton Piëch as heir. The twist: the heir needs liquidity. Anton Piëch thus inherited the most expensive hypercar in the world at the time of its delivery. Now, however, he has made a decision that closes a symbolic circle: wants to sell it. According to sales documentation to which has had access to the German economic newspaper Handelsblattthe La Voiture Noire is offered through a discreet bidding process for 23 million Swiss francs, approximately 25 million euros. The reason for the sale of such a motorsports legend is the need to finance Piech Automotivetheir own electric vehicle startup founded in 2017. The company has been trudging along for over a decade and still doesn’t have a production vehicle. According to sources cited by Handelsblattthe company is also exploring a possible integration under the umbrella of the Chinese group Chery, although neither party has confirmed the details. In Xataka | Bugatti Veyron was a jewel that cost 1.7 million dollars: Volkswagen lost 6.7 million with each one it sold Image | Bugatti

A 4.6 billion-year-old “recorder” was hidden in asteroid dust: what it said changes what we knew

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We think of memory as something linked to memories that fade or transform over time. But there is another form of memory that is much more precise and stubborn, one that does not depend on people or technology and still preserves information with extraordinary fidelity. Some rocks are capable of recording the magnetic environment in which they were formed. That is what happens with the dust of a very particular asteroid: small particles that have preserved a magnetic signal for billions of years that today allows us to reconstruct what the solar system was like in its early stages. That “record” is not a metaphor. It comes from particles collected on the asteroid Ryugu and brought to Earth in 2020 by Japan’s Hayabusa2 mission. As Eurekalert points outa team led by Masahiko Sato has analyzed their magnetic behavior and has found signals that suggest that these particles retained information from the environment in which they were formed. This opens the door to reconstructing what the magnetic fields present in the protoplanetary diskthat is, the “nursery” where the planets were formed. {“videoId”:”x86bfqj”,”autoplay”:false,”title”:”JAMES WEBB: A TIME MACHINE and a SPACE TELESCOPE”, “tag”:””, “duration”:”504″} A trace that cannot be erased. The key is how some minerals react to the magnetic field when they form. Its internal structures, formed by small magnetic domains, are oriented following that field and remain “locked” when the material solidifies. That process leaves a lasting mark that scientists can measure today with highly sensitive instruments. This phenomenon, known as natural remanent magnetization, turns these particles into physical witnesses of the past. The challenge. The first analyzes of these samples offered very different conclusions: some studies suggested that they preserved a stable magnetic signal from the early solar system, while others argued that they had formed in a region with practically no magnetic field. There were also those who suggested that the signals detected could be due to contamination during analysis on Earth. Part of the problem was based on these works, which were based on a very limited number of particles, just seven, which made it difficult to obtain solid conclusions. New samples. To resolve these discrepancies, The team significantly expanded the number of particles analyzedgoing from seven to 28, which allowed us to work with a much more solid statistical base. After applying demagnetization techniques to eliminate possible modern signals, the results showed a clearer pattern: 23 of the 28 particles retained a stable magnetic signal. Of these particles, eight showed two stable components and one presented spatially inhomogeneous magnetization directions, something difficult to explain if the signal had been introduced later on Earth. In Xataka We have a serious problem in our plans to colonize Mars: the astronauts’ blood is mutating Why is it important. The detected signals suggest that these materials originated in an early phase of the solar system, approximately between 3 and 7 million years after its formation. They also point to water alteration processes in the asteroid’s parent body. So we can say with great confidence that Ryugu is not just a pile of rocks: it is a valuable archive of the early solar system that has allowed us to better understand the magnetic environment of those times. Images | JAXA In Xataka | NASA is on its heels, so it has made a decision: advance its return to the Moon to 2030 (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news A 4.6 billion-year-old “recorder” was hidden in asteroid dust: what it said changes what we knew was originally published in Xataka by Javier Marquez .

Micron knew that the RAM crisis was going to be great for them. The reality that has gone even better

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As it could not be otherwise, the companies that are benefiting the most from the RAM crisis They are precisely those that have the product and, therefore, they are the ones that set the price. Micron is one of those few companies that is profiting from the excessive demand of this key component for any gadget, a demand caused by the AI ​​fever. The figures from its latest financial report have even exceeded expectations. Although there are some nuances to comment on. Let’s go to trouble. What has happened? Micron just published the results of its second fiscal quarter with numbers that have left analysts speechless. Its revenues have almost tripled those of the previous year, reaching $23.9 billion, well above Wall Street estimateswho expected about 20,000 million. Earnings per share have skyrocketed to $12.20, compared to the $9 projected. And for the third quarter, the company anticipates revenue of approximately $33.5 billion, almost ten points above what the market expected. Those who share the benefit. Artificial intelligence has changed everything in the memory market. The data centers that power AI models require massive amounts of high-performance memory, and the available supply cannot meet that demand. Micron, together with Samsung and SK Hynix, forms the trio that controls practically the entire supply world of high-bandwidth memory (HBM) chips, which are basically one of the key components to run the long-awaited NVIDIA GPUs. Those who buy at any price. Micron’s own CEO, Sanjay Mehrotra, counted to CNBC that the company can only cover between 50% and two-thirds of what its main clients need. Put another way: there is a queue of buyers willing to pay whatever it takes, and Micron simply doesn’t have RAM for everyone. According to SK Group President Chey Tae-won, the global shortage could last another four to five years due to structural bottlenecks in semiconductor production. What’s coming Aware that what is happening now will not last forever, Micron is investing at a speed that has made the market nervous. The company plans to exceed $25 billion in capital spending in 2026 alone, and has already announced that in 2027 that number will rise another $10 billion. Among other operations, it has closed purchasing a plant of Taiwanese Powerchip for $1.8 billion, which will begin producing DRAM wafers in the second half of 2027. The company has also started mass shipments of its new HBM4 memory of 12 layers, which will be directed to the new Vera Rubin platform from NVIDIA. Precisely how much NVIDIA will depend on Micron for this new generation compared to its rivals is the big open question for all investors. Everything is going well for them, but the shares are going down. There has been a bit of a cold reaction in the stock market, as shares have fallen around 5% in the session after the results, despite the fact that the numbers have beaten all forecasts. The reason is the same thing that happened with NVIDIA a few weeks ago: When expectations are very high, even good results can disappoint. From Goldman Sachs they counted that the value could move in a narrow range in the short term after a “very solid quarter with guidance well above consensus, in a context of already elevated expectations.” That has not prevented banks like Wells Fargo or Barclays from updating their upward forecasts to $550 and $670 per share, respectively. The big photo. Micron has accumulated a revaluation of more than 60% so far this year, and has become the most profitable value on the PHLX (Philadelphia Semiconductor Index). Mehrotra affirms that Micron is “the invisible layer that powers AI today.” But it seems that the company is slowly losing that cloak of invisibility. In Xataka | NVIDIA has been pining for months to sell its H200 to China: it just received the news it was waiting for

We knew that mobile phones had an impact on children’s mental health. A study has defined the border: 16 years

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Today, we live in a time of great debate around Instagram, TikTok or X, wondering if they really negatively affect our minors, with several governments promoting the possibility of banning them, including Spanish. Now, a new study longitudinal has shed light on the true impact that using social networks can have on mental health, pointing to a much more complex scenario than we think. The study. It has been a team from the Miguel Hernández University that has decided to put the focus precisely on social networks at a time when research paints a very worrying picture. But in this case wanted to put the focus in the nuances that should really matter to us: age, gender and mental health status prior to entering the world of social networks. And its conclusions change the classical conception. It’s not how much, but how. Until recently, the most classic concept to measure danger was “screen time.” In this way, different reviews suggested that spending more hours in front of the cell phone was equivalent to having a worse well-being. But the UMH research goes a step further and focuses on how networks interfere with daily life, sleep or personal relationships. Here the most striking finding that the research team saw was that the impact of this problematic use on depressive symptoms has a very clear boundary: 16 years. But it fades. Although researchers have observed that increased depressive symptoms It is much more acute in those under 16 years of age, it has also been seen that around this age the effect diminishes. The reason that marks 16 years as a true frontier is precisely the greater capacity for emotional and cognitive self-regulation that adolescents have as they mature little by little. In this way, young people from the age of 16 become less vulnerable to the negative impacts of the digital environment, something pointed out by other external studies that already warned that early pre-adolescence is the true critical period of exposure to social networks as they are more sensitive. A gender gap. Another worrying point raised by science is how digital popularity affects depending on whether the teenager is a boy or a girl. And right now we live in the era of followers where anything is done to see how our accounts have more and more followers. And while it may seem like having more followers is a positive reinforcement for any teen, the data says otherwise. The researchers point out here that having a greater number of followers is associated with a greater number of depressive symptoms, and especially in girls. The reasons lie in the pressure to maintain a perfect image, the fear of being analyzed down to the last detail and, logically, the cybervictimization. A set of factors that act as a toxic cocktail towards mental health. In the boys. Here, having many followers has a neutral or even somewhat protective effect, operating as a status enhancer within a group of friends, for example. That is, the complete opposite of girls, marking a gender gap that has also been investigated by other third-party studies that already warned that the mental health of minors is much more susceptible to the dynamics of online validation. Previous vulnerability. Do social networks depress you or were teenagers already depressed? This is the question we can ask ourselves when addressing this complex issue, and science indicates that adolescents who already suffered from a previous vulnerability before using the networks are the most susceptible. In this way, if a young person already presents depressive symptoms, their evolution will be significantly worse if they develop problematic use of networks. In these cases, the screen becomes a true refuge that ends up worsening the original picture when exposed to a large number of people or by consuming negative content. What should we do? The great conclusion that can be drawn here is that We must protect preteens as they are the most vulnerable, and also give priority attention to girls because they suffer much greater aesthetic and validation pressure. This is where governments come in with the regulations that are already being put on the table to prevent these most vulnerable young people from being exposed to something that can be so harmful. Images | Johnny Cohen In Xataka | We say we are “depressed” beyond our means: where does the illness end and where does the illness begin?

The world has been fascinated by the collapse of the Mayans for decades. In reality, almost everything we thought we knew was wrong.

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They cultivated fields, raised livestock, built some of the most amazing buildings on the planet, developed a rich culture that included advanced astronomical knowledge that still intrigue today to the experts. The Mayans are one of the most fascinating civilizations on the planet. And rightly so. Without it it is impossible to tell the history of Central America. However, little by little and as technology allows us to delve into their secrets, we begin to understand something: much of what we thought we knew about the Mayans was wrong. And that includes its collapse. What happened to the Mayans? The question is very simple. His answer not so much anymore. As our knowledge of the Mayan civilization has expanded (thanks to resources such as LiDAR technology) has also mutated the idea that historians had of its decline. I remembered it recently in Guardian Marcus Haraldsson remembering what we know about Tikalone of the largest urban centers of the Mayans, located in what is now Guatemala. “Sudden and disastrous”? The most recent stele located at the site dates back to the year 869 ADwhich leaves the question of what happened in Tikal from that date on. For a time historians assessed the possibility of a “sudden and disastrous” collapse that marked its fate; But today that explanation seems increasingly distant. Now experts are leaning towards another option: a broad period of decline of around 200 years during which farmers moved north and south and powerful urban centers were abandoned in favor of settlements such as Chichén Itzá, Uxmal or Mayapán, towards the north of the Yucatán Peninsula. There is even talk of the period Classic Terminalwhich goes from the years 750 to 1050. Changing perspective. This perspective has been adapted over the decades and goes beyond the period of decline of the Mayan civilization. “We are no longer really talking about collapse, but about decline, transformation and reorganization of society, as well as a continuity of culture,” comment to Guardian Kenneth E. Seligson, associate professor of archeology at California State University (CSU). “There have been several similar changes in places like Rome. (But) we rarely talk about the great Roman collapse anymore because they re-emerged in various forms, just like the Mayans.” But… What happened? What exactly happened for many of the main Mayan settlements (not all) to begin to collapse towards the 9th and 10th centuries It remains a complex and highly discussed topic. Today the authors point out a combination of factors including changes in trade routes, adverse weather, severe and prolonged droughts and wars, among others. The truth is that in the middle of 2026, researchers continue collecting clues that helps us clear up unknowns about that period. The importance of water. You don’t have to go far back to read new discoveries that tell us precisely about the collapse of the Mayan civilization. Last August a group of scientists published a article in which they basically emphasized the “important role” that “prolonged droughts” played in the Mayan decline. For their study, the researchers analyzed a stalagmite located in a cave in the Yucatan, a true geological and archaeological treasure if its oxygen isotopes are analyzed. The examination revealed a series of periods of severe drought between 871 and 1021, during the Terminal Classic, stages marked by water shortages during which the Mayans found it “extremely difficult” to grow their crops. It may seem exaggerated, but the study revealed eight droughts during the rainy season that lasted at least three years. Not only that. The longest drought lasted about 13 years. Other previous studies, carried out from sediments collected in the Chichankanab lagoon or stalactites rescued in Belizehad already suggested the role that climate played in the Mayan collapse. Question of droughts (and something else). Months after that study, in November, Benjamin Gwinneth, from the Université de Montréal (UdeM), published another that helps complete the ‘photo’. The Canadian institution recalls that between 750 and 900 AD the population of the Mayan lowlands suffered “a significant demographic and political decline” that coincided with “episodes of intense drought.” What Gwinneth’s work questions is whether this collapse is explained only by the lack of water. Curiously, their research is also based on the analysis of sediment samples dating back to around 3,300 years ago. And what exactly did he do? Gwinneth dedicated himself to analyzing samples taken from Laguna Itzán, in present-day Guatemala, near an archaeological site Maya. To be precise, they focused on three “geochemical indicators” that reveal the evolution of fires, vegetation and population density in the area (something they estimate thanks to fecal stanols) for thousands of years. The first conclusion they obtained is that the first settlements appeared in the area 3,200 years ago and for centuries the Mayans cultivated, burned to clear forests and used the ashes as natural fertilizer. It also gradually increased the population of the area. Over time they even changed their “agricultural strategy”, dispensing with fire. A “stable” climate. The second conclusion (and this is the interesting part) is that, unlike Mayan populations located further north that did suffer “devastating droughts”, in Itzán the climate was relatively “stable” thanks in part to its geographical location, near the Cordillera. Curiously, that did not free Itzán from the crisis that they suffered in other areas of the Mayan world. The question is obvious: Why? If it kept raining there, what dragged them into the crisis? “Although there was no drought in the area, the population decreased during the Terminal Classic period. Indicators show a drastic drop, traces of agriculture disappear and the site was abandoned,” Gwinneth points out.which recalls that some archaeologists place the beginning of the Mayan collapse in the Itzán area. Why is it important? Because it suggests that drought (no matter how stubborn) is not enough on its own to explain the Mayan decline. “The answer lies in the interconnection of Mayan societies,” reflects the expert. “Cities did not exist in isolation. They formed a complex network of commercial ties, … Read more

2,300 years ago Plato already knew what to do with social networks

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“This invention will produce forgetfulness in those who learn it, because they will not exercise their memory: they will trust in the external, not in themselves.” These words are not from a neuroscientist talking about artificial intelligence, nor from a politician regulating social networks. They are from Thamus, king of Egypt, who 2,300 years ago, in Plato’s ‘Phaedrus’, argued that any technology that helps remember ends up weakening. He was talking, of course, about writing. But, curiously, the arguments are so current and relevant that they could have been stated today: banning social mediaFor example. And this is the interesting thing. What was Plato’s argument? The quote, as I say, is from the end of the Phaedrus. There appears the call ‘myth of Theuth and Thamus‘: the god Theuth presents writing as a fantastic technology that would improve memory and Thamus, in contrast, responds that what will improve is forgetting. Although it is usually brought up in the context of classical disputes about whether writing is good or bad, the truth is that the good Plato’s argument is a little more subtle: what he is interested in confronting is rather the difference between internalized and practical knowledge, on the one hand; and the knowledge that, even though it is easily available (thanks to writing), has not left a mark on the subject. That is, Plato does not contest writing. He was, rather, describing a pattern: each cognitive technology reconfigures the skills we practice and those we don’t (and therefore let atrophy). ‘Cognitive offloading’. That is the ‘word’ that, from certain areas of cognitive science, is used to download mental work. They can be using notes, to-do lists, calendars, GPSs or search engines… it doesn’t matter, the phenomenon is very similar to what Plato commented on. The available evidence tells us that, in effect, there is a trade-off: Using these systems improves immediate performance (as Theuth argued), but can reduce deep learning (as de Thamus argued). And it makes sense. When we know that something will be accessible, the tendency is memorize its content less and dedicate those resources to memorizing where to find it. In other words, it changes what we do with those resources we have to try to make their use as efficient as possible. In fact, in the same way we have to recognize that this has problems (especially with content that is fundamentally important), but it also has benefits. This ‘resource release’ allows us, for example, learn new things. PlatoGPT. The issue is always very similar: new technologies trigger moral panic in society and then, with hindsight, we see if they were right or wrong. That is to say, we have been in a very long war between early-adopters and late-adopters for 2,300 years. Now it’s up to artificial intelligence and Plato’s reflections are good. Above all, because they help us see AI as something that goes beyond “a tool”: it is a complete system of incentives that pushes us to improve certain skills and atrophy others. The key is whether those skills that we atrophy are necessary for something else. “Put doors on the field.” A few years ago, the philosopher Antonio Diéguez visited us and explained that the idea that technologists repeat so much that “you can’t put doors on the field” was somewhat problematic. Of course you can. It has a cost, it is true; But there is also a risk of being uncritical with all the technologies that knock on our door. We have learned it the hard way in recent years. We live in strange times when nobody knows anything about the social impact of new technologies. But what is clear is that this should not confuse us and make us believe that we cannot know anything about it. Yes we can, yes we can. It’s more. As Plato said, it is our obligation to know. Image | Raphael / Robin Worral In Xataka | Why being a teenager has always been shit and in the age of social media even more

We knew that Mars has gravity. Now we have just discovered the unexpected effect it has on the Earth’s climate

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I don’t need to tell you that the Earth’s climate is not constant and it is not just because of the climate change: If we look at it in perspective, throughout the history of the planet it has gone through glaciations and warm periods. Many of these changes find explanation in the Milankovitch cycles or orbital variations, that is, the slow changes in the Earth’s orbit and the inclination of its axis due to the gravitational attraction of other planets. The surprising influence of Mars. It was known that the giant Jupiter or the nearby Venus are largely to blame, but now we have discovered another secondary actor that has gained importance: Mars, as explained this study collected in Publications of the Astronomical Society of the Pacific and led by scientist Stephen Kane. What’s surprising about it? That Mars only has 10% of the mass of the Earth, hence there are simplified climate models that downplay its importance. The simulations. The hypothesis is: what would happen to the Earth’s orbit if Mars were much larger or did not exist? Since human research teams do not have millions of years to wait, they used simulations with a solar system model of ten million years each to study gravitational interactions. The only factor they changed in each simulation was the mass of Mars: from zero (Mars does not exist) to being ten times larger than Earth. Mars “weighs” much more than we think. And the results were conclusive: Mars is directly responsible for the “Great Cycle”, a 2.4 million year gravitational beat in which Mars rhythmically stretches and shrinks the Earth’s orbit, acting as a metronome that regulates the amount of solar radiation received and regulates the frequency of ice ages. Without Mars, that cycle would not exist. However, Kane nuance: “It doesn’t mean that without Mars the Earth wouldn’t have ice ages, but it would completely change the frequency with which they occur.” But if Mars were giant, Earth’s climate cycles would also change: they would be shorter and more extreme, going from an ice age to suffocating heat waves. In short, life adaptation would become more complicated. What would not change, according to the study, is the “great Jupiter – Venus cycle”, the 405,000-year gravitational pattern driven by a secular resonance of both planets that acts as the “master clock” of the Earth’s climate as it is the most stable and constant cycle in the planet’s geological history. Why is it important. Knowing better the influence of the planets around us on the climate is good news that helps us better understand our past and be able to glimpse the future with more precision. But it has an impact on the search for habitable exoplanets: it is not enough to find something similar to Earth, but you also have to look at its neighbors and pay attention to the fine print. That is, if it has a “Mars-type” planet nearby but of great mass, its climate has every chance of being too chaotic for life. In Xataka | Mars has just entered the exclusive club of planets with rays. This is discouraging news for NASA. In Xataka | We had been wondering for decades how Mars could have water, cold and life. Today we finally have an answer Cover | Photo of Planet Volumes in Unsplash

AI has already destroyed the world of programmers as we knew it. Now it’s the turn of the translators

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On November 8, 1519, an extraordinary meeting took place: Hernán Cortés met with Emperor Moctezuma II. Of course, neither one nor the other understood anything of what their interlocutor was saying: Hernán Cortés spoke Spanish and Moctezuma spoke Nahuatl, but that problem was solved thanks to two chain translators: Malinche translated from Nahuatl to Mayan, and Jerónimo de Aguilar went from Mayan to Spanish, and vice versa. History is full of legendary translations like that one, and in all of them, human beings depended on human translators to understand the other party. That has been changing with various technologies, but the one that is really about to change everything is AI. With AI we have found (and translated) In fact, translation technology has run parallel to technological evolution itself. From the translation based on rules of the second half of the 20th century we moved in the 90s to the automatic statistical translations which, for example, ended up using Google Translate. These systems looked for the “most likely” translation, not the “most correct” one. These statistical models improved with the phrase-based translationbut The final leap was made by DeepLwhich appeared in 2017 to change everything with the use of neural networks and neural machine translation. Google had also started to adopt that system in 2016, and it was clear what the path was. With the arrival of generative AI we have found ourselves with another potential leap in this field. There are, however, differences: these systems are based on large language models (LLM) that are then trained and tuned specifically for translationwhich a priori gives them an advantage when it comes to achieving more natural and versatile translations. The application of AI models to the field of translation seems to be following in the footsteps of what we have seen with programming. Developers have embraced this revolution and many of us have realized it thanks to the vibe coding that it is possible to program without knowing how to program. The same clearly occurs with these systems that enable us to know how to speak languages ​​that we don’t actually know how to speak. Machines do it for us, and they do it better and more immediately. The real-time translation is very fashionable and both Google and Meta—which has been warning for a long time— they are integrating it into their current or future glasses augmented reality. Apple, which does not usually launch things that are not mature, has just integrated it on your AirPods. The user experience may not perfect at the momentbut it is clear that this type of function is going to become more and more common, a commodity technological more. The transition And this transition that wants to turn access to quality translations into something “trivial” has been made evident these days with the launch of two platforms. The first, the ChatGPT Translatorwhich is surprising not because it is an obvious and simple use case for AI, but because it is a logical indiscriminate copy of the services that already work, Google Translate and DeepL. Being able to do the same with AI shows that that problem seems solved. The translation of Gemma 3 27B was already good. TranslateGemma’s is even better, even with smaller models and challenging language pairs. And if it didn’t seem like it enough, Google has just presented its new generative AI models specifically aimed at translation. It is about TranslateGemmaa family with versions 4B, 12B and 27B (the latter, logically, the most capable) that allow these tasks to be carried out locally, privately and without connection to the cloud. They support 55 language pairs and of course they are prepared for the most popular ones (English, Spanish, Chinese, French, Hindi), but their creators already indicate that they are training them with 500 additional language pairs for the future. We are therefore facing a moment in which learning a language will probably end up becoming something more vocational or aspirational than something that we really need on a daily basis. Human translators, like human programmers, will still have valuebut once again what is clear is that AI is going to make this type of capability more accessible than ever. In Xataka | Some of the emails you read may not say exactly what was written. A forgotten Gmail setting is to blame

Science is on the verge of achieving something that would end our human experience as we knew it: suffering

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The Holy Grail of modern pain medicine has always been the same: achieving the analgesic power of morphine without its side effects such as respiratory depression, addiction or tolerance. And although until now it seemed impossible, one study has suggested that the key is not to ‘numb’ the body, but to ‘attack’ the way the brain processes suffering. The study. A team led by Gregory Corder of the University of Pennsylvania has developed a gene therapy that acts as a “switch” for chronic pain. What is revolutionary is not just that it works, but how it does it: it eliminates the emotional distress of pain without erasing the protective physical sensation, keeping the patient safe but free from suffering. The problem is not feeling, it is suffering. Pain has two very clear components: one that is sensory, which is necessary to human survival (as it is to withdraw the hand when we get burned), and the other is the affective or the emotional. This second is what generates the feeling of constant suffering that can destroy the quality of life of a patient who lives with chronic pain or neuropathic pain that affects the nervous system, such as the hated ‘sciatica’. According to the study, titled, the researchers identified a specific group of neurons in the anterior cingulate cortex (ACC). These neurons are sensitive to opioids and are responsible for encoding the “unpleasantness” of pain, and this is where they have tried to attack, but surgically and without pills. The tool used. The scientists used a tool known as DREADD (Designer Receptors Activated Exclusively by Designer Drugs). To do this, through a viral vector, they inserted synthetic receptors specifically into the cingulate cortex neurons of mice with neuropathic pain. From there, they administered a drug that has no effect called DCZ. This compound, despite not doing anything to the body in mice, acts as a key that “turns off” the neurons that have been modified in their brain in a very specific way. The result. The chronic pain behavior disappeared and they began to act like completely healthy animals. However, when exposed to an acute thermal stimulus, they were able to withdraw their paw. In this way, his survival system was working, but his anxiety system was completely turned off. The AI ​​that reads pain. One of the biggest challenges in pain research is that mice can’t tell us “it hurts a 7 out of 10,” which is why scientists classically relied on biased tests. But this is over thanks to an AI called LUPEwhich is a Deep Learning platform and has the ability to analyze hundreds of hours of video of mice moving freely. But what is relevant here is that it has the ability to detect spontaneous micro-behaviors associated with pain that the human eye would miss. Thanks to LUPE, the team was able to objectively confirm that the pain relief was real and not an error of human interpretation. The opioid crisis. The most promising thing about the study published a few days ago is the security profile. Unlike morphine, which generates tolerance, that is, more and more doses of medication are needed to have an effect, and addiction, this gene therapy is completely the opposite. In this way, it does not generate addiction, meaning that the mouse does not have to seek a higher dose to maintain that sensation and the effect remained stable. The arrival of humans. Although the success in mice is resounding, the jump to humans is complex, since we are really different and requires many more safety studies. However, the path is set. The team is already planning the next steps towards clinical trials, although it is something that may take many years to become a reality in our daily lives. Images | Sasun Bughdaryan In Xataka | We have accepted that sport is “medicine” for the body. Now science is discovering its side effects

We knew almost nothing about the “black box” of life, the initial moment of fertilization: that is over

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In biology, human development, from the fertilization of an egg to the formation of the complete baby, has a large area called ‘black box’because we don’t know what happens there. We have a lot of data about what happens in the first days after fertilization and also during the last months thanks to ultrasounds. Worse, there is an area between the second and fourth weeks of development that is terra incognita. The ethics. It is without a doubt the great wall of developmental biology right now, since to see what happens to an embryo in these weeks we would have to have it in a culture dish for more than 14 days. But this is something that ethics does not allow, since after those days the embryo must be inside a uterus or destroyed. The change. Now science is working to find exactly how to see the embryo in this time window, and the Chinese Academy of Sciences and the Pompeu Fabra University of Barcelona achieved it. Specifically, it has achieved cultivate macaque embryoids which are embryo models derived from stem cells until day 25. In this way, processes that until now were hidden have emerged. A team of researchers from the Chinese Academy of Sciences and the Pompeu Fabra University of Barcelona has managed to cultivate macaque embryoids (embryo models derived from stem cells) until day 25, revealing processes that until now remained hidden. And this has already given us data about how our body is formed. Gastrulation. Lewis Wolpert, a famous biologistused to say that “the most important moment in your life is not birth, nor marriage, nor death, but gastrulation.” And he was right. To understand this importance, you must know that during gastrulation the embryo stops being a simple sphere of equal cells and transforms into a complex structure with three different layers that will give rise to all the organs of the body. But it is also essential to be able to define the axes of the body, that is, knowing where the head will be, the tail and what is right and left. Something that until now was impossible to see because previous models of primate embryos ended up collapsing after day 17. The solution. The research has therefore used a new system of 3D suspension culture which has enabled macaque embryonic stem cells to self-organize and develop complex structures until day 25 outside the uterus. What they have seen. What researchers have observed in these “embryoids” is fascinating because of its similarity to natural embryos. As detailed in the paper from Nature, these models have recapitulated key events of the late gastrulation. Among this, the formation of the central nervous system stands out, the precursor of the digestive system, the first blood cells or even those that in the future will give rise to eggs and sperm. The most surprising thing is that the transcriptomic analysis (the study of which genes are active cell by cell) revealed that differentiation trajectories were similar to those found in natural monkey embryos during this stage. At last. This means that we have, for the first time, a reliable simulator to study human development. Since we share a large part of our biology with macaques, this model allows us to investigate the causes of abortions early spontaneous and congenital malformations without crossing the ethical red lines of experimentation with human embryos. They are not real embryos. This is something fundamental for the limits that ethics imposes on us that we mentioned at the beginning. What has been cultured in this case are not real embryos, but models derived from stem cells where neither eggs nor sperm were involved. This has the aspect that it can never become a viable living being if it is implanted in a uterus and its usefulness is limited only to laboratories to analyze how we are developing and revealing critical points where an embryo can be aborted. In Xataka | There are more and more men obsessed with one thing: donating their semen

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