Ukraine has entered an inexplicable phase, that of its drones attacking Russians at absurd distances

In every modern war there has been a moment when technology brutally shortened the distance between the front and death. In fact, it already happened with the machine gun in 1914 or with the precision artillery at the end of the 20th century. In Ukraine, everything indicates that is going through now that same turning point, one in which the combat stops being deep and maneuverable and becomes immediate, constant and suffocating. Drones as a dominant weapon. The figures from the Ukrainian war have made it crystal clear that drones are no longer a complement, but the main cause of death and destruction, responsible for between 70% and 80% of casualties on both sides according to European intelligence services. This massive lethality has transformed the conflict into something very more dynamic at a tactical levelbut also more rigid strategically, because the omnipresence of drones makes it extremely difficult for either army to achieve a decisive break from the front. The result is a war of attrition in which each meter is paid dearly and where the balance increasingly depends on industrial, technological and foreign political support. War underfoot. In this context, Ukrainian drones are operating at distances that just a year ago would have seemed absurd, attacking Russian infantry at just over one kilometer from the frontliterally and as rthey knew the controls in Insider, “under the feet” of their own positions. The use of elite drone units to strike so close reflects the extreme pressure on defensive lines and the need to stop Russian assaults before they reach the trenches, one of the deadliest scenarios for Ukrainian soldiers. Low-level air warfare has thus become a direct extension of hand-to-hand combat, with drones acting as the last barrier before human contact. Kamikaze combat. It is a war, and the doctrinal ideal is still to destroy the enemy several kilometers away, when it concentrates or prepares to attack, but the reality of the front has pushed Ukraine to use its best operators in immediate deletion tasks. More and more combat drones are dedicated to attack infantry instead of high-value logistics or systems, a very clear sign that combat has become shortermore reactive and closer to sacrifice. This drift towards an almost kamikaze logic does not respond to a tactical preference, but to the urgent need to save positions and gain time. Russia adapts. At the same time and as we have countedRussia has been closing the gap in drone warfare from the end of 2024adapting quickly and betting on mass productionand the recruitment of technical talent. The plans to manufacture tens of thousands of drones per year and active search for students with technological profiles show that Moscow assumes that mastery of the air at very low altitude is key to sustaining its ground offensive. This adaptation explains why the front has become so lethal and compressed, with both sides forced to operate under a constant threat from the sky. A question of distance. As the 20th century progressed, military evolution was marked by the elongation of the battlefield: improvements in aviation, missiles and precision weapons They allowed the enemy to be hit further and further away, reducing the need for direct contact. However, the war in Ukraine is reversing that logicbecause drones, cheap and everywhere, have compressed combat to unimaginable distances. The result is another historical paradox: there has never been so much capacity to destroy at long range, but it has never been so dangerous to be so close to the frontwith flying machines that turn every advanced meter into an immediate risk. War blocked by technology. In short, the enormous effectiveness of drones is making war, if possible, a little bloodieralthough less decisive. The saturation of the battlefield with sensors and flying munitions punishes any movement and reduces strategic maneuver options, turning the conflict into a protracted fight where industrial resistance and western support They outweigh local tactical victories. In this scenario, Ukraine fights ever closer, ever faster and, most disturbing of all, increasingly with less margin of errorin a battle where the distance between living and dying is already measured in seconds and meters. Image | Ministry of Defense of Ukraine, National Police of Ukraine In Xataka | 1,418 days have passed since Russia invaded Ukraine: the war has already lasted longer than the Soviet fight against Hitler In Xataka | The latest camouflages of Russian troops confirm an open secret: the war in Ukraine is the most Looney Tunes in history

The absurd legal battle between Elon Musk and the game “Cards Against Humanity” has ended in a bittersweet ending

The creators of the irreverent card game Cards Against Humanity have reached an out-of-court settlement with SpaceX, ending a legal dispute financed by his own fans. Although they promised to distribute the 15 million dollars they would receive from the company if they won the trial, there will be no trial to hold No money to distribute. The origin of the dispute. The story begins in 2017. Cards Against Humanity raised $2.25 million from its fans to buy land in cameron countyTexas. The goal? Legally block the construction of the wall promoted by Donald Trump on the border with Mexico. The purchase of the plot was possible, in addition to the ingenious marketing campaign, thanks to 150,000 donations of $15 each. The problem arose when SpaceX, which has the Starbase launch complex right next door, began using the empty Cards Against Humanity plot to store material. Elon Musk against the card game. In 2024, Cards Against Humanity accused SpaceX of invade your property for at least six months. In addition to starting a new marketing campaign, this time against Elon Musk, the owners of the game sued the company for depositing construction materials, gravel and debris on their plot without permission. Amid insults against Musk, whom they called “a billionaire even richer and more racist than Trump,” Cards Against Humanity promised $100 for each of the 150,000 crowdfunding participants. As? Demanding $15 million from SpaceX as compensation for the crime. Bittersweet ending. Finally, Cards Against Humanity has informed its fans that there will be no trial. SpaceX and the card game have reached an out-of-court agreement whose figure has not been revealed, but which the creators of the game describe like “Musk did the legal equivalent of throwing dust in our eyes and kicking us in the balls.” So why have they accepted it? Cards Against Humanity explained that a trial “would have cost more than we probably would have earned from SpaceX.” “According to Texas law,” they add“we probably wouldn’t have been able to recover our legal costs. We had the truth on our side, but Musk and SpaceX could have easily outspent us.” How will they compensate the fans? This is where the story takes a Cards Against Humanity turn. The 150,000 donors who helped buy the land will not receive cash, but only “comedy.” The company will send all entrants “a new, exclusive mini-pack of cards about Elon Musk,” which they hope to ship in early 2026. In an email to fans, the company summed it up: “Since we can’t give you what you really wanted—cash from Elon Musk—we’re going to make it up to you…with comedy!” The land is empty again. Images | Ministry of Communications of Brazil, Mercado Libre In Xataka | A genius named Tom Mueller designed the engines for the Falcon 9. And now that genius wants to beat SpaceX on its own turf

The race to put a humanoid robot in our house has begun. It’s an absurd race

A robot that walks around the house picking up what we have left lying around, loads the dishwasher and even starts the washing machine. It is not a science fiction movie, it is the advertisement of the Figure 03 and it is not the only company interested in sell us the idea that soon we will all have a home robot. Detective Spooner doesn’t like this. Robots for everyone There are people convinced that in a few years Humanoid robots will be as common in homes as robot vacuum cleaners are now. One of those people is Elon Musk, who assured that In five or six years we will all be able to afford a personal robot. Peter Diamandis, well-known writer and “futurologist” predicts that the first humanoid robots will reach homes as early as 2026. It is not an obsession of the West, In China they are also obsessed with robotics, although from a different approach. The government wants robots to have transformed the industry by 2035, but it also contemplates creation of robots as accompaniment within the home. We do not know if this future will materialize or if humanoid robots will end up being an eccentricity for a few. Regardless of whether they succeed, These are the companies that want to make it possible. Figure AI Figure 03 Based in California, it is the company that has shown the most progress in creating a humanoid robot for the home. Its latest model, the Figure 03, is presented to us as a kind of robotic butler that does all the housework. Until now the previous models did not go much beyond the “wow” effect of the video, but this time it is different because Figure has a plan to mass produce them. The first year They hope to produce 12,000 robots a yearalmost nothing. Figure is the spearhead of robotics in the United States. Its valuation is 39,000 million dollars and among its investors are NVIDIA, Salesforce, Qualcomm, Intel, Microsoft and Jeff Bezos himself. At the moment it is not for sale nor do we know the price it will have. tesla Tesla Optimus Gen 2 No introduction needed. The first time we learned that Tesla wanted to make a humanoid robot it was in 2021. In 2022 they had a functional prototype and in 2023 they presented the Optimus Gen 2. Although we have not seen him doing household chores, they did show how he was capable of handling fragile objects like an egg. According to Musk, the Optimus will be cheaper than a car (between 20 and 30,000 dollars), but the reality is that we are in 2025 and The promise has not yet come true. Musk continues determined to build “an army of robots” and just showed your worry about who will control him. In Tesla’s latest earnings call, he stated that he wants to maintain strong influence over this hypothetical army. 1X Technologies Neo Gamma It is based in California, but it is a Norwegian company. 1x’s goal has been the home from the beginning and its goal is a robot that does cleaning, organizing and even running errands. A year ago they presented the Neo Beta robot and in February of this year they presented the Neo Gammaits most advanced model. It is capable of interacting with humans, can manipulate all types of objects, and is covered in soft materials. 1X’s plan is to start deploying its robots in homes this year, but in a pilot project. The company has been set as a goal manufacture 100,000 units in 2027 and “millions more in 2028”. We don’t know anything about how much it will cost, although 1X says it is “expected to be priced competitively within the home robotics market,” whatever that means. The company is valued at 10 billion dollars and between your most powerful investors There are OpenAI and EQT. Unitree Robotics Unitree H2 Based in Hangzhou, it is one of the companies that form the ‘Six Little Dragons’ and leader in robotics in China. We knew her for her quadruped robotsbut recently they have moved on to humanoid robots. Its most advanced model, the Unitree H2was announced just a few days ago and is capable of dancing and even doing kung-fu, but it is not as focused on the home as other proposals. In China, spectacular demonstrations of robots that dance or box have become very fashionable, but for the moment They are not showing practical applications for these humanoid robots. Of course, it is the only one that already has humanoid robots for sale and at very competitive prices. The Unitree G1 costs $16,000, but the Unitree H1 costs 131,000 euros. Deep Robotics DR02 It is also a Chinese company and part of the ‘Six Little Dragons’, which are the six most cutting-edge companies in the country in AI and robotics. Like Unitree, they also launched quadruped robots and recently switched to humanoids. Its focus is the creation of resilient models so that they can work in sectors such as industry, logistics or public services. Their latest model is the DR02, a robot resistant to water and dust and is designed to work outdoors. In the future the company also wants to expand to other areas such as the home. What is the point of a humanoid robot? There are other voices at the opposite end of these visionaries, such as that of Rodney Brooks, the co-founder of iRobot. Brooks believes that humanoid robots are a fantasy and they are a format that is anything but practical. Keeping such a robot standing requires a lot of energy and can be a huge risk if it falls. Furthermore, he states that Imitating the dexterity of a human hand is practically impossible. For Ehsan Saffari, robotics engineer, There is no point in making human-shaped robots. At least not if we want them to be efficient. To illustrate this, he gives a very good example: “Imagine that instead of building a … Read more

Speaking in English to a baby still in the womb seems like an absurd idea. Science has just discovered that it is effective

We have long known that Babies recognize their mother’s voice from the womb and who show a preference for their mother tongue a few days after birth. However, now we know a little more thanks to studies neuroimaging studies that have confirmed something we intuited: the brain of a newborn is prepared to recognize foreign languages ​​if it has heard them in the womb during gestation. The experiment. To reach this conclusion, a team from Sainte-Justine University Hospital in Montreal recruited 60 pregnant women from monolingual French-speaking families. From here they did two different phases: prenatal exposure and brain analysis after birth. Prenatal exposure. In this case, a group of 39 fetuses was selected and exposed to recordings of a story during the last month of gestation. To do so, the mothers placed headphones on their abdomen so that the fetus could hear the story in its native language, which was French, and also in a foreign language, which was German or Hebrew. These languages ​​were chosen specifically because their rhythmic and phonological properties are very different from those of French. The second group, of 21 fetuses, acted as a control and did not receive any experimental exposure, hearing only the French of their natural environment, which is what happens in any type of normal pregnancy. Brain analysis. A few days after birth (between 10 and 78 hours), the brain activity of all these newborns began to be monitored while they listened to the same story in three languages: French, German and Hebrew. To do this, they used functional near-infrared spectroscopy (fNIRS), a non-invasive technique that measures changes in blood oxygenation in the brain to see which areas are activated. The results. They were certainly surprising. The brains of newborns reacted almost identically to their native language and the foreign language they had been hearing in the womb. In both cases, an increase in activity was observed in the temporal regions of the left hemisphere, which is a key area for language processing with Broca’s area, among others. In contrast, when these babies heard the completely new foreign language (the one they had not heard before), their brains showed a different response, with less activation in language areas and more activity in general sound-processing regions. The conclusion. This finding suggests that the fetal brain not only hears, but “learns” to recognize the patterns of a language, which causes a specialization of the left hemisphere. One of the authors point specifically that “Our results provide evidence that even brief prenatal exposure to a foreign language could make it recognizable to neonates, leading to brain activation patterns similar to those observed when listening to their native language.” Anne Gallagher, a neuropsychologist at the University of Montreal and lead author of the study, qualifies the concept of “learning”: “We cannot say that babies ‘learn’ a language prenatally. What we can say is that neonates develop a familiarity with one or more languages ​​during gestation, which shapes their brain networks at birth.” Understand development. These findings reinforce the idea that a newborn’s brain is not a ‘blank slate’, but that the gestational environment contributes a lot to its brain development, since its brain processing begins here to be shaped before birth. However, experts caution that this study should not be interpreted as a guide for parents to expose their babies to multiple languages ​​in order to make them more intelligent or multilingual. But it does give us an idea of ​​how this important characteristic is developing. Limitations. The study, while revealing, also has its limitations, such as a relatively small sample size that prevented, for example, directly comparing responses to German versus Hebrew. Still, it shows that even brief, repeated exposure to linguistic stimuli can modify a newborn’s language brain networks, laying the foundation for future development. Images | Volodymyr Hryshchenko In Xataka | When the first meal is not porridge, but a chop: the rise of carnivorous babies

Openai signs with Samsung and SK Hynix for a potential chips demand of 900,000 wafers per month. It is an absurd figure

In Seoul A package of agreements was closed which reflects how far the career for artificial intelligence is coming. Openai sat down with Samsung and SK to advance his project Stargate And the companies pointed to a goal that surprises on its own: 900,000 DRAM wafers per month. The plan, according to the parties, goes through reinforcing memory production and studying new data centers in South Korea. All this was announced after a series of meetings of Sam Altman, business leaders and President Lee Jae-Myung himself. The appointment at the Seoul presidential office brought together Sam Altman With the leaders of the aforementioned Asian technological conglomerates, in the presence of the president Lee Jae-Myung. The tone was shared: Korea seeks to consolidate as one of the three global powers in artificial intelligence and OpenAi needs to anchor its Stargate project in regions with technological muscle. This lace explains the interest of both parties in formalizing agreements that cover from the memory supply to the construction of new data centers, with a long -term view. An objective that can tension the entire memory sector The volume that has been put on the table is disproportionate if compared to the market. According to Techinsightsthe global capacity of production of 300 millimeter DRAM was about 2.07 million per month in 2024 and would grow to 2.25 million in 2025. reaching 900,000 would mean about 39% of all that capacity. No individual manufacturer reaches such a figure alone, so that the magnitude of the agreement reflects both Openai’s ambition and the growing pressure to ensure the supply of advanced memory. Signed documents include preliminary commitments to expand memory production and evaluate additional infrastructure in South Korea. Among them is the participation of Samsung SDS in the development of data centers, as well as Samsung C&T and Samsung Heavy Industries in its design and construction. The Ministry of Science and ICT contemplates evaluating site outside the Metropolitan Area of ​​Seoul, and SK Telecom has signed an agreement to study the viability of a center in the southwest of the country. It is also proposed to explore the deployment of Chatgpt Enterprise and API capabilities in corporate operations. A key point in all this is in the difference between using and training a model. When someone consults a chatbot, infrastructure of inference is activated, much less demanding. But to train a new generation system, thousands of chips are needed working in parallel, each accompanied by High performance memory modules. This scale multiplies the need for servers, cooling systems and electrical power. In that context, guaranteeing hundreds of thousands of wafers per month does not seem an excess, but a way of ensuring that the next wave of models has the necessary material support. Stargate Data Center in the United States Openai’s computing muscle relies on huge draft alliances. With Oracle and SoftBankthe company prepares five data centers that would provide several capacity gigawatts. Nvidia, meanwhile, has announced that it would invest up to 100,000 million dollars and that would give access to more than 10 gigawatts through their training systems. Openai’s trajectory is not understood without Microsoft, his first great partner. The Initial bet of 1 billion in 2019 and the subsequent investment of 10,000 million gave access to the Azure cloud, Key to train models They promoted Chatgpt. Over time, however, Sam Altman’s company has begun to reduce that dependence. The last movements mark a change of course towards infrastructure in which OpenAI has more direct control, a way of making sure they are not conditioned to a single supplier. It should be remembered that many of the ads remain preliminary. Letters of intention and memoranda mark the will to advance, But concrete details have not yet closed. At the scale that Stargate raises, the risks are evident: from bottlenecks in the production of high performance memory to energy availability to feed facilities of several gigawatts. To this are added the necessary permits and the complexity of coordinating projects with so many actors. At the moment, the signed opens a path, but it remains to be seen what materializes and in what deadlines. Images | Sam Altman | Samsung | SK Hynix | Xataka with Grok In Xataka | I’ve been hooked to Sora 2 for two days: I’m generating absurd memes where I am the protagonist and I can’t stop

I’m generating absurd memes where I am the protagonist and I can’t stop

Openai is not a gray company. When he presented Sora’s first version, it seemed that the video associated with Chatgpt was going to change everything, but the reduced model that ended up arriving at users 10 months later was a complete fiasco. Now have launched Sora 2 without prior notice And, well, I can’t stop. It is totally addictive. It has a metic potential that far exceeds The launch of Nano-Banana de Googleand that reminds the Studio Ghibli phenomenon of Chatgpt, which makes me think that, this time, OpenAi had everything coldly calculated. You have to have effort to get to Sora 2 In the absence of API to get access to the model in third -party tools (Freepik claims to be in it), The only way to create videos with Sora 2 is through Sora, a new OpenAi social network that works like Tiktokbut with videos generated by artificial intelligence itself. Sora is only available, for the moment, In the United States and Canadaso the first thing I had to do to access is to install a VPN. After choosing a username (or importing the one I already had in the old Sora), uploading a profile picture and putting on a bio, I could finally start generating videos with nine seconds sound, in panoramic or vertical format. Not so fast. Sora’s web version is missing several functions, including the most popular of all: create a “cameo” with your face and your voice to become the protagonist of your own videos or to appear in the videos of others. To configure that option you have to download the Sora app, which is now exclusive for iPhone, and is only available in the United States and Canada app store. So I had to install a VPN in iOS, create an Apple account in the United States, associate the new account to the app store and download Sora. Once inside, I found a very familiar interface. A Feed of recommended content, another to see the publications in chronological order and another to see only what you follow. In addition to creating your own content, answering comments, etc. As a novelty, he has an option to tell the AI ​​in what “Mood” you are: what kind of content you want to see. Openai has given in the nail with the “cameos” Anyone who has generated images and videos with AI in recent years knows that models tend to change your face. Nor are they very good to maintain the same face in different scenes. Until recently, the solution was the Loras: Train a model with your photos (technically, refine an already trained model) to generate videos with your face. But Loras are a complex and expensive solution, which has resulted in new techniques to improve the consistency of image models. Flux Kontext of the German company Black Forest Labs or Gemini 2.5 Flash Image Nano-Banana of Google are paradigmatic examples that have pushed the entire sector to improve their consistency. And now Sora cameos arrive. When you open Sora’s application for the first time, you can directly configure your cameo with the phone camera, reading some numbers that appear on the screen and turning the head in the addresses indicated by the app. The recording is used to generate videos with your face and your voice in the context you can think of. There is A huge guide OpenAi to improve your cameos, but the most important point is to be in a well -lit room. With the recording enough for the results to be convincing, but you can add personalized instructions in a text box: I am smiling, I am serious, I am fat, I am skinny, etc. The most important thing is to select who will be able to use your cameo to make videos: only you, only the people to whom you have approved access, all your friends or all users. Sam Altman, the OpenAi CEO, has a public cameo that carries Sora’s initial success. Almost all the videos that have been viralized have Altman as the protagonist. Sora’s first great meme are uncomfortable videos of Sam desperate because they give her more servers: Sam Altman stealing graphics cards in a target, Sam Altman asking for donations, Sam Altman screaming at the Nvidia headquarters that need more GPUS. He Presentation video Sora 2 included OpenAi engineers flying over dragons or riding giant ducks. The same generation of Sora can have several cameos, so one of the star functions could end up being mixed with celebrities. The problem is to find celebrities willing to give your image that way. In one of my videos, Ijustine tells me How fine the iPhone Air and Sam Altman replies that “it is a respectable size, I would say.” The videos take a few minutes to generate. You can do several at the same time (up to 100 a day) and then publish or leave them in drafts. More similar to I came than Tiktok or Instagram Sora is first and foremost an poisoned dart against goal. The queen of social networks has not only been fishing Openai engineers with her astronomical salaries, but just a week ago she had just launched her own social network of self -generated content: “Vibes.” With a more creative or artistic approach that Sora, Vibes has been described by the less flattering comments as a “Ai Slop” landfill, garbage content generated with AI. Sora is still, in large part, garbage generated with AI. But the feeling I have while I do Scroll It is to have returned to the times of Vine, the precursor of Tiktok that was bought by Twitter and then close. An amalgam of scathing sketches and anonymous moments with the innocence of a time in which the short video did not monetize nor competed for your attention against millions and millions and millions of other vertical videos. For now, people are in Sora to pass it well. And to put Sam Altman in trouble. … Read more

A YouTuber fed up that the mobiles were bored and theirs was built. The result is gloriously absurd

An American youtuber named Marcin Plaza, boring from the lack of innovation in the design of our mobile phones, wanted to prove to create one that adapted to their needs. He succeeded, of course, although the final result has raised some controversy because more than innovative what he has achieved is a “retroinnovator” mobile. What happened. This youtuber is known for its “Frankenstein” device experiments, and a few months ago he published a video in which he explained how he managed to replace the keyboard of his Lenovo Yoga laptop for a mechanical onecreating a unique combination. Now he has returned to the streets, but with a singular experiment: to take advantage of his Samsung Galaxy Z Flip 5 To create your own mobile. That physical keyboards live. Plaza decided that he would take advantage of the outer display of Z Flip 5 and combine it with the physical keyboard of an old Blackberry Q10 of 2013. The idea was simple to get that keyboard to become a sliding keyboard that is hidden under the screen of its Z Flip 5 broken. But of course, one thing was to say it, and another to do it. An infernal process. In the video in which the entire Plaza process begins, it begins by destroying the Z Flip 5 and checking which components could save. He then designed a housing to print it on a CNC machine – only numerous tests with a 3D printer – and also created a small circuit using an Arduino Pro micro controller that allowed him to adapt the old blackberry keyboard. Looking for solutions. The difficulties did not end there, and to allow the opening of all applications on the small front screen Plaza ended up using Samsung’s Good Lock application and its multistar module. This unique user even ended up adding a magnetic ring for wireless load. This mobile sounds to me. After numerous additional digital DIY tests and operations, Plaza managed to create what he expected: a “Frankenstein” mobile with a small frontal screen and a sliding keyboard underneath. The curious thing – or maybe not – is that this mobile had already been invented 15 years ago. It did the same company from which he took his keyboard, because we are talking about The BlackBerry Torch that first launched in 2010. A hardly replicable experiment. The creator of this curious mobile has shared Some of the project detailsbut it is difficult to replicate it because the only guide to do so is the video he has published on YouTube. Be that as it may, the final result is surprising – especially, because it works – but also paradoxical: the title of the video is “I built my own mobile … because at present innovation is sad”, but its mobile has little innovative. That doesn’t really matter too much: achieving something like that is certainly remarkable. In Xataka | Telephone cabins are disappearing from the world. So an enlightened one has installed one at home

Google, Amazon and Microsoft have been burning absurd amounts of money in Ia for years. Finally they begin to see green sprouts

The AI boom made Big Tech will increase their capital spending to limits that had never been seen. The fear that The bubble will explode Rondaba, investors They started to get nervous and the profitability of AI remains in doubt. The last results are a green outbreak, the first in a long time, although with many buts. The cloud reaches capex. They tell it in The Information. Capital or Capex expenses of the Big Tech in recent years have climbed unstoppable, much faster than their income, but in the results of the last quarter the gap is finally closing, but not because chatbots and other products are being profitable, but thanks to revenue from cloud services. The crazy one is committed to AI is beginning to show a slight green outbreak, even if it is not directly because of AI products. Income from cloud services are approaching capital spending. Source: The Information (click on the image to access X) The four riders. There are two clear winners of the departure, one that already brought the duties done and one that goes free. Let’s see who is who: Microsoft: The clear winner with a Income increase of 25% In the last quarter, mainly thanks to the growth of Microsoft Azure. Google: Record a 20% increase In your income thanks to Google Cloud and advertising. Amazon: falls 7%but it is the only one that was in positive numbers. Amazon Web Services is the largest provider of cloud services and was already profitable, although its growth is beginning to slow down. Goal: Your income grows 22%but they basically come from advertising. Goal does not sell cloud services, so it does not generate income directly. Indirectly, yes: AI has allowed them Improve the efficiency of your advertising business. Burning money. The increase in capex by AI has reached madness figures that had never been seen in other technological booms. By the end of 2024 we talked about investing a real barbarity In data centers: Microsoft 30,000 million, Goal 35,000 million, Google 25,000 million… The dizziness figures, and have not stopped increasing. Amazon said at the beginning of the year that He wanted to spend 100,000 million in data centers for AI and goal is building several data centers whose combined cost could rise to 200,000 million dollars. Skepticism. This excessive spending frenzy soon unleashed a wave of skepticism. AND If AI is another bubble And is it about to explode? Milmillionaire investments are not translating in income. Even Satya Nadella himself, one of the protagonists of this revolution, was skeptical because At the moment no one is making gold with AI. It is not that they are not making gold, it is that nobody is earning money. In their newsletter, Ed Zitron had accounts And the difference between what is expected to spend in 2025 and the return that is giving them the AI is not that it is a reason to doubt, it is directly no sense: Capex planned in 2025 BENEFITS IN IA IN 2025 Microsoft 80,000 million 13,000 million Google 75,000 million 7.7 billion Amazon 105,000 million 5,000 million goal 72,000 million 3,000 million Green outbreak Yes, in singular. The latest results are hopeful, but we are very far from being able to say that AI is a profitable business, especially As far as generative AI is concerned. Good results are thanks to cloud services, chatbots or audio or video generators are not profitable. Subscriptions to these tools are a way to monetize, but The income they generate is child compared to spending. Despite doubts, unbridled expense has not stopped and this green outbreak can be more than enough for investors to continue throwing banknotes to the AI well. Image | Microsoft In Xataka | The AI industry has become a kind of ‘game of thrones’. And that reveals a worrying truth for your future

Google is leaving an absurd million

Alphabet has returned to Overcome Wall Street expectations In its last quarter, with revenues of 96.4 billion dollars (14% more that the previous year) and a benefit per share of 2.31 dollars. However, like income they have risen, investment in AI as well. The company raised its investment forecast In infrastructure for this year to 85,000 million dollars, 10,000 million more than expected. An infrastructure that will well be worth not to be left behind in the AI career. The impossible dilemma. Google is now before a paradox that can well define what happens in Big Tech: to maintain their future domain in artificial intelligence they must sacrifice much of their current profitability. It is a career in which to fall behind can mean the death of the company. A rhythm that only those that have plenty of financial muscle can participate, since it supposes burn mountains of money without guarantees of an immediate return. The numbers that import. Google Cloud was the great protagonist of the quarter, with a growth of 32% which far exceeds the forecasts of 26.5%. This impulse has led the company to increase its investments dramatically. Together with the rest of great technology, Alphabet is part of a group that will invest More than 320,000 million dollars in AI capabilities this year. To put it in perspective: the 85,000 million that Google will spend equal to the complete GDP of countries such as Croatia or Uruguay. The real threat. The pressure in this race is constant for companies that want to continue up, and Google has a problem that will cost you a lot to get rid of: OpenAi. And is that chatgpt already process between 15% and 20% of the daily consultation volume that Google Search handles. This makes Openai an unquestionably superior threat of what Bing was never. The search engine, which generates more than half of Alphabet’s income and three quarters of its benefits, is losing ground in the face of consultations by generative. A lot of investment in AI, without guarantees. Google’s response has been aggressive, and The last Google I/O It was key to understanding everything for which the company is betting on AI. In just two months, his Ai mode reached 100 million monthly active users, while Gemini It already exceeds 450 million. However, these figures, a priori fantastic for the company, are still a reflection of Google’s great commitment to AI, a bet that nothing guarantees them to the rest of sharks that pursue the same goal. And now what. The company has already advanced that infrastructure spending will continue to grow in 2026. Investors, for the moment, seem willing to tolerate this financial bleeding, but their patience is not eternal either. What is clear is that Google does not want to be left behind, and will do everything in your hand to continue dominating. Cover image | Adarsh Chauhan In Xataka | Google continues to redesign its search engine with AI. Your new function speaks by phone with business in your name

Some scientists have rowed 225 kilometers in 45 hours between Taiwan and Japan. It seems absurd but there are good reasons

In 1947 the Norwegian explorer and ethnographer Thor Heyerdahl He had an idea To demonstrate that the former inhabitants of Peru were able to navigate to the coasts of Polynesia in pre -Columbian times: to manufacture a rudimentary raft and cover the journey himself. Sounds crazy, but experience went well and seems to have created school, like He has just demonstrated An anthropologist determined to reveal how humans were managed to travel between the coasts of Taiwan and the islands of southern Japan. Along with the rest of his colleagues he has chosen to follow the footsteps of Heyerdahl, manufacture a cedar canoe with tools from the Paleolithic and then launch to the Pacific waters. When, where … and how. Researchers who are dedicated to studying the first human settlements in East Asia have a rather accurate idea of ​​when and where the first migrations were made, but there is a question that still takes away their dream: how noses they moved? How did they travel through sea, raffling waves, winds and currents, with hardly any resources? How did the first settlers manage to arrive for example do 30,000 yearsTo the island Yonaguniin the archipelago of The Ryūkyūcurrent Japan? After all, Taiwan is more than 100 kilometers and the distance is even higher from the continent. “Simple questions”. That kind of questions are what the anthropologist was asked a few years ago Yousuke Kaifufrom the University of Tokyo. During his investigations in the deposits of the Okinawa Islands he found vestiges that give away that there were already humans in the region 30,000 yearsbut nothing that clarifies how they got there. “There are stone tools and archaeological remains, but they do not answer those questions,” confesses to The Guardian. That there were no evidence did not mean that Kaifu and his colleagues could not raise hypotheses … and demonstrate them. “We started this project with simple questions: ‘How did the Paleolithic peoples arrive at islands as remote as Okinawa?’ ‘How was your trip difficult?’ ‘What tools and strategies did they use?’ ” remember The Japanese anthropologist. “Archaeological evidence, such as vestiges and artifacts, does not offer a complete vision, since the sea, by nature, drags them. So we turn to experimental archeology, in a line similar to The Kon-Tiki expedition of 1947 of the Norwegian Thor Heyerdahl “. In the skin of the ancestors. Like Hayerdahl and his mythical expedition Kon-Tiki, Kaifu and his colleagues assumed the complicated task of putting themselves into the skin of their ancestors of thousands of years ago. How did they travel? How did they guide themselves? What materials did they use for their vessels to draw the currents of the region? First they tested with Juncos balsas and bamboo, but ended up ruling out the idea. With these materials they obtained too slow ships to overcome The Kuroshioone of the strongest sea currents and that conditions navigation in the northwestern Pacific. His next option was to try a canoe made with Japanese cedar, such as those used in the area thousands of years ago. In order for the experiment to be as faithful as possible to reality, the researchers talled a cedar one meter thick with stone axes and then carved it until opening a cavity inside and giving the shape of a canoe of 7.5 meters of length. The result was ‘sugime’, a boat not very different from those used thousands of years ago. In 2019, after waiting for the sea to calm down, a team of five crew (in which scientists and remakes were included) rose on board and tried it. And how did they do it? As the Paleolithic men, without GPS or any other modern navigation device, would have done only by the stars, the sun, waves and instinct. The expedition started from Taiwan Rumbo Yonaguni, in Kyūshū. The island is not visible from the Taiwanese coast (and in fact it was not for much of the journey, when it was hidden from the waves), but the scientists verified that on clear days it is not difficult to contemplate it from the mountains of Taiwan. Hence the populations of 30,000 years ago they met her. The raft left in July 2019 and its crew had to row more than 45 hours and cover a journey of 225 kilometers before reaching its destination. It was not easy, but the team reached Yonaguni to the second night, reinforcing the theory that thousands of years ago the first Okinawa settlers were able to travel in Canoas from neighboring Taiwan. During the syglura, yes, They suffered crampspain and hallucinations and even were forced to Browse water Often to prevent the raft from getting causing. “They achieved something extraordinary”. The experiment was completed in July 2019 thanks to the support of several institutions but has not achieved authentic impact so far, when the University of Tokyo He has revealed The experience. The reason? A few days ago there was a documentary about the trip and two academic articles published in Science Advances. In one the experts report the 45 -hour experiment between Taiwan and the island of Yonaguni. In the other they share virtual recreations hundreds of possible routes to know which could be the “most plausible”. “The general public usually considers the Peoples of the Paleolithic as ‘lower’, mainly due to their ‘primitive’” culture and technology, ” collect the report. “In marked contrast, our experiment has shown that they achieved something extraordinary with the rudimentary technology they had.” The experiment also confirms the growing interest in archaeological reconstructions and tests with boats that copy old models, something that (in addition to the case of Hayerdahl) we have seen in Indonesian research, France either United Arab Emirates. Images | © 2025 Kaifu et al. CC-BY-AR In Xataka | In 1973 a scientist wanted to find out why we fight. So he crossed the ocean in a mini raft full of strangers

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