He arrives and hides for as many hours as necessary until his objective appears

In some sectors of the front in Ukraine, units began to detect something strange during the night: in the thermal cameras, small hot spots appeared motionless for hours on rooftops, roads or open fields, without anything happening… until at dawn one of them was suddenly activated and everything changed in a matter of seconds. The birth of the “patient” drone. The war in Ukraine has shaped a new figure on the battlefield, another one: a weapon that does not run or pursue targets, and that does not need to be shown, because it simply wait your moment. These are drones that arrive from the air, land silently and remain hidden for hours or even all night until their target appears, transforming combat into a matter of of patience and calculation where the decisive factor is no longer speed, but the ability to anticipate the enemy. This evolution has blurred the lines between mines, munitions and aircraft, creating a system that turns any logistics route, building or road into a latent trap. How to build an invisible ambush. They counted in Forbes The weekend that the success of these drones does not depend on improvisation, but on meticulous prior work based on signals intelligence, aerial surveillance and analysis of movement patterns to determine where and when to place each device. Once the point is chosen, the drone lands in an area that combines concealment and technical feasibility, often with landing gear modified to adapt to uneven terrain, and is connected via fiber optic (sometimes km) to avoid interference and reduce its detectable signature. From that moment on, a wait begins that can last for hours, with the operator waiting for a single opportunity in which the target enters the field of action. Attack without warning. In the videos that have started to circulate showing this type of ambush drone, whose term comes from the way the Russians have called it, Zhduns (“Waiters”)it can be seen that when the moment arrives, the blow is practically immediate and leaves very little room for reaction, since the device is activated from a minimum distance and without the acoustic warning typical of FPVs in flight. Although these systems usually load less explosive to compensate for the weight of the cable and structure, the factor of surprise compensates for this limitation, allowing precise and effective attacks that turn certain areas into psychologically hostile spaces for the enemy. The result is the creation of authentic “scary zones” where any movement can trigger an invisible attack. The war within the war. The response to these systems has generated an additional layer conflict in which there are drones that search for other drones before they “wake up”, using thermal cameras capable of detecting the residual heat of their components even when they are turned off. Added to this are more advanced sensorssweeping air patrols and the use of decoys to deceive the adversary, creating a constantly evolving game of ambushes, counter-ambushes and counter-ambushes that hardly anyone could have imagined a decade ago. In this surreal environment, superiority does not depend only on technology, but on who learns to adapt the fastest. From the air to the ground: robots that expand the trap. Yes, because this same concept of persistent risk is spreading to the ground with the increasing use of unmanned ground vehicleswhich no longer only transport supplies or evacuate wounded, but also participate in direct attacks and offensive operations. These systems allow reduce exposure of soldiers, taking on critical logistical tasks and, in some cases, holding positions for weeks or launching coordinated attacks against enemy positions. The integration of ground platforms with aerial drones adds a new dimension, allowing ambushes to be deployed from unexpected locations far from the front. Battlefield learning alone. If you also want, it is very possible that the next step points towards increasingly autonomous systems, with artificial intelligence capable of monitoring, detecting movement and alerting the operator, reducing human burden and multiplying the number of devices controlled simultaneously. Although there are technical and ethical limits, especially when it comes to identifying targets, the trend seems clear: battlefields saturated with machines capable of to wait indefinitelylearn from the environment and act at the right moment. In this scenario, war stops being a succession of visible confrontations and becomes a network of hidden threats where the most dangerous enemy is the one that has been waiting for hours (or days) without being seen. And with an unprecedented advantage: impossible to track your breath. Image | x In Xataka | Russia has an unprecedented enemy in the Ukrainian war: Japan has just landed with a weapon to take down its shaheds In Xataka | Ukraine has recalled the weapon used with Stalin to convince the US: literally, turning Donbas into “Donnyland”

With the RAM market in crisis, an unexpected winner appears: China

The saying goes that, in a troubled river, fishermen gain. In the case of the RAM crisisto a troubled market, manufacturers profit. All devices need NAND chips. They are the ones that go into the RAM memory or the storage that is used from the mobile phone to the car, the router and the SD memories and Samsung, SK Hynix and Micron are the ones that control the majority of the production. The data centers need a huge amount of memorywhich has caused everything other than producing for them to be missing out on a large portion of the pie, which is why the three companies have thrown themselves into it. And, since their most important factories cannot do more, they have made the decision to inject a lot of money into China, which is not their favorite scenario, but what gives immediate relief. And all the extra RAM they make… it’s not going to be for us. Exploited. A few weeks ago we said that Jensen Huang, boss of NVIDIA, had met with senior officials from the Asian technology industry, including executives from TSMC and Samsung. He told the first ones to get their act together because NVIDIA was going to need a lot of wafers this year. In the seconds, more of the same, but with HBM4 memory new generation. Shortly after, it was Lisa Su, AMD’s boss, who visited Samsung’s offices in South Korea to reach a deal for HBM4 memory of South Koreans for AMD’s new platform focused on artificial intelligence. Everything moves to the tune of AI training and inference. We are talking about Samsung, but SK Hynix is ​​also developing new generation memory and the objective is the same: to produce everything possible because, although as users we cannot buy RAM or SSD and Valve can’t make the Steam Machinethey are doing great. Wons galore. The problem is that, although the numbers come out, the production lines can’t take it anymore. There are very few companies to create RAM that supplies a brutal demand, and that means that they either expand… or they don’t arrive. And that is precisely what they are doing, but looking at the industrial fabric that can serve as support: what they have been manufacturing in China. In SCMP we can read that Samsung is going to intensify its investment in its Xi’an plant. Specifically, 67.5% compared to the previous year. This will bring the investment to 465.4 billion won -about 264 million euros- in the Chinese plant. This is Samsung’s only plant abroad, and also one of the company’s most important because it is estimated to produce 40% of South Koreans’ NAND memory. The million-dollar investment comes after a few years of hiatus, but they are not the only ones. SK Hynix is ​​also going to inject 581.1 billion won -331 million euros- into its Dalian plant. It is 52% more than in the previous period and the largest disbursement since they acquired the factory in 2022. Immediate relief. The information They point out that it is not so much to produce more, but to satisfy the demand for cutting-edge memories. Recently, Samsung began mass manufacturing the HBM4 memory and SK Hynix the fastest DDR5 memory, and this strategy is focused on the two plants manufacturing that advanced memory instead of the rest of the factories having to adapt to the cutting-edge memory creation processes in order to continue dedicating themselves to other types of NAND chips. It also responds to a more pragmatic vision. Setting up a memory factory is not cheap, but above all, it is not fast. It takes about four or five years to build, polish the clean rooms and optimize the operational lines. It is much faster to adapt existing factories to obtain a much faster response. The reason is that they need wafers, and they need them now. From SK warned that the global shortage of wafers exceeds 20% and, probably, the situation will continue until 2030. Not very favorable weather. The curious thing is that this increase in investments occurs when the situation between China and the United States continues to be very turbulent. Although they have been relaxing, the United States imposed export controls on advanced chip manufacturing equipment destined for China. As much as Samsung is moving money and advanced machines to Samsung, it is in China and that means they must obey Washington’s order. There is licenses and annual permits and, both Samsung and SK Hynix, have a deadline to be able to send tools to their facilities, which are the ones they are taking advantage of because it is estimated that China represents 40% of Samsung’s NAND production and between 40% and 45% of SK Hynix’s. In fact, the company has another plant in Wuxi from which 30% of its NAND chips come out. China, from chill. Whether there is an upsurge in export orders or not remains to be seen. What is on the table at this moment is that China, “without doing anything” (and this with many quotes) is emerging as a very important player in this playing field. It is not only that Samsung and SK Hynix, the two most powerful in the sector, have greatly increased investment in their territory, but that their own RAM companies can see in this scenario the boost they needed to place themselves in the global conversation. One of the largest manufacturers in the country is CXMT and not only have they been polishing their manufacturing process in recent months to create 8,000 MHz DDR5 memories, but they have scaled their production capacity to reach a global market share of between 11% and 13%. Together with the manufacturer YMTC, they are emerging as an opportunity for brands like Lenovo, Dell or Asus, which need RAM to continue selling computers, have available without drastically increasing the price of their equipment. But hey, as we have said more than once in recent weeks, all the extra RAM they manufacture is … Read more

YouTube has begun to fill with AI-generated content. Spain appears in an unexpected position

Something has noticeably changed in the YouTube experience. A recent analysis points to a notable change in the type of videos that make their way into the feed, with a high presence of content generated with artificial intelligence and with Spain standing out within that context. We are not talking about a passing fad or experimental creativity, but rather a pattern that responds to how attention is rewarded today. To understand what we are talking about, it is worth clarifying the terms that are repeated in the studies. “AI slop“is used to describe automatically generated videos, with very low standards and designed to be mass produced, prioritizing quantity over content.”brainrot” expands that idea and encompasses pieces that, with or without artificial intelligence, seek to retain the viewer based on repetitive stimuli and without a clear narrative. They are disputed labels, but useful to describe a type of content designed above all to capture attention. How the phenomenon has been measured. To put figures to this trend, Kapwing reviewed the 100 YouTube channels considered “trend” in each country through Playboard and isolated those he identified as AI slop. From there, he collected public data on views, subscribers, and estimated revenue with Social Blade and added them by country. Additionally, the team created a new YouTube account and reviewed the first 500 Shorts in the feed to see what a user with no previous history finds. What exactly does the data say about Spain. When breaking down the results by country, Spain stands out for a very specific reason. Channels of this type that fall into the “trend” category accumulate more than 20 million subscribers, more than any other country analyzed. However, the number of channels is small. The study itself indicates that this combination reveals a strong concentration of audience in few profiles, a key factor to understand why Spain appears so high in the ranking. The comparative analysis shows that there is no single global pattern. There are countries that stand out for the number of channels identified, others for the total number of views and others for the loyalty of their audiences. South Korea, for example, has a much higher number of views than the rest, while the United States is among the first in terms of aggregate volume of followers. This diversity reinforces a central idea of ​​the report: the impact of this type of content depends both on the local ecosystem and how algorithms respond in each market. Patterns that repeat in the videos. When reviewing this content, very recognizable formulas appear: animals with human features and cartoon aesthetics, with an almost photographic finish, placed in “story” mini-scenes that can be understood in seconds. Examples usually include baby monkeys that star in emotional or exaggerated situations, animals that “save” people in impossible accidents, or everyday scenes turned into fables, such as a cat shopping in a market. The Guardian highlights that many pieces dispense with a clear narrative and work by immediate impact, repetition and familiarity, three ingredients that fit well with the logic of the feed. Why this model is attractive. According to The Guardianmany creators approach this type of content not out of creative affinity, but out of pure profitability. Automated tools reduce costs and allow you to test ideas almost unlimitedly, while monetization programs promise income that is difficult to match in other local jobs. The result is a constant trial logic, where what works is replicated and what doesn’t is discarded, in an environment in which the algorithm decides more than the author. Regardless of who produces these videos, the impact is clearly perceived from the other side of the screen. Kapwing created a new account and counted the first 500 Shorts in the feed: 104 were AI-generated content, 21%, and 165 fit into “brainrot”, 33%. The Guardian summarizes that finding as “more than 20%” of AI slop in a new user experience. The data does not allow us to describe all of YouTube, but it does suggest that this material is part of the initial menu offered by the algorithm. The official response and its limits. YouTube maintained in statements to the aforementioned newspaper that videos generated with AI must meet the same standards as any other content and that it acts when its policies are violated. However, the platform does not offer public figures that allow us to know how many views correspond to this type of materials or how they influence the total. This opacity forces us to rely on external studies and leaves open the question of whether the algorithm prioritizes these videos or simply reflects their proliferation. Images | Ganes AI official 5286 | Lily Video AI | Dipto Fun Tv | Sparks Adventures (YouTube) | Kapwing In Xataka | We believed that Stack Overflow was essential for programming. AI is proving the opposite

appears out of nowhere and turns Russia invisible

At the beginning of November a scene It went viral on networks. The arrival of Russian troops in Pokrovs was more typical of a dystopia, another example that the war in Ukraine seemed to have definitively become a mirror of what the war conflicts of the future will be like. Now we know that that scene was also the prelude to an advantage. The weather in front. Yes, on the eastern lines of Ukraine, the arrival of a winter full of dense fogs has transformed the battlefield in an unpredictable scenario where visibility, which previously determined the pace of drones, has become a strategic resource in itself. The veil of humidity that covers Donetsk, Zaporizhzhia and the approaches to Pokrovsk It makes the job of Ukrainian operators who rely on aerial surveillance to track Russian movements, but also offers an opportunity to sneak up, infiltrate and strike at close range. The chaos. In areas like Pokrovskwhere the lines overlap and the front is porous, the fog has caused a kind of calculated chaos that makes war unpredictable, a board where both armies move almost groping between bursts of fire that appear without warning, while the commanders admit that the weather is completely altering the reading of the terrain and the control of the approaches. Exploiting meteorological disorder. The fog has allowed Russian forces to promote specific advances and risky maneuvers. Taking advantage of the lack of aerial surveillance, mechanized units have managed to cross natural obstacles, build improvised bridges and make their way into areas where they were previously stopped by constant reconnaissance from the air. In southern regions, such as Zaporizhzhia and Dnipropetrovsklow visibility has coincided with an increase in assaults and intensive bombing that has forced Ukraine to retreat from certain positions in search of more sustainable defensive lines. The accumulation of troops under the cover of fog, the concentration of armored vehicles and the constant infiltrations by small teams seeking to advance without being detected reflect a strategy that combines quantity, continuous pressure and meteorological opportunism. At the same time, the movement of columns towards towns such as Huliaipole and Yablukove confirms that Russia tries to convert each weather window into a territorial advance, aware that controlling logistics nodes at this time of year can set the trend for the entire campaign. Solution: ground robots. Faced with the temporary loss of eyes in the sky, Ukraine has begun to integrate ground robotic systems to replace the surveillance that drones previously guaranteed. The appearance of UGVs In the defense of Pokrovsk it has made it possible to detect enemy movements that would have gone unnoticed in the dense fog and has served to guide subsequent attacks with FPV drones when visibility permitted. These small, discreet and fast platforms have provided an additional layer reconnaissance in areas where even the best aerial optics fail. Its deployment shows that the Ukrainian army is maturing hybrid doctrines where ground robots complete the work of drones that they previously dominated alone. If you will, it’s a preview of how technological warfare could evolve in the coming years: closer integration between autonomous ground sensors and aerial vectors, especially in adverse climates that are becoming more frequent and extreme. Units operating in Pokrovsk describe combat scenes where attacks emerge from the fogguided by machines that detect heat, sound or movement in conditions in which the human eye is practically blind. The pressure on Pokrovsk. The worsening of the weather coincides with a deterioration of the tactical situation in Pokrovska critical point due to its value as a transport hub and link for the defense of the east. Russia has intensified assaults relying both on climate coverage and on a notable numerical imbalance that favors its troops. Ukrainian forces acknowledge that they face waves of infantry in very small groups, teams of two or three soldiers seeking to saturate the defenses through multiple approaches, and that the fog has facilitated the temporary return of mechanized assaultseven using civilian vehicles to advance quickly in the direction of the city. A plan B. This dynamic has forced Ukraine to combine tactical withdrawals, civilian evacuations and robotic ground reconnaissance to avoid surprises. The adverse weather has accelerated the feeling of uncertainty on a front where every meter of ground is contested blindly and where the lack of aerial vision multiplies the risk that an enemy leak becomes an operational rupture. Time changes everything. The combination of persistent fog, limited mobility and low visibility has created a combat ecosystem that rewards both creativity and audacity. In this environment, the infiltration tactics Russians find more room to thrive, but so do quick Ukrainian incursions that seek to disorient the adversary in the chaos of the fog. Climate has become a multiplier of uncertainty: it degrades the precision of drones, distorts sensors, creates gaps in surveillance and pushes both sides to improvise technological and tactical solutions. Ukrainian ground robots represent a popup response to those conditions, while Russian advances under adverse weather show the importance Moscow attaches at any opportunity to break the Ukrainian defense. Image | IDF Spokesperson’s Unit In Xataka | The main problem of Europe’s rearmament is a number. If Russia attacks its borders, it has 45 days to roam freely In Xataka | Ukraine’s “Terminator” against Russian drones: an AI that decides when to shoot has hidden where it is least expected

In Oregon there is a forest with a tattoo that appears every fall: a giant emoji

Imagine that you are walking down a road and, out of nowhere, the mountain begins to smile at you. Stop imagining it because that is precisely what happens on Highway 18 in Oregon. Between two towns, those who drive along that road in the autumn season, find a gigantic emoji made up of hundreds of trees. And more than a nod to drivers, it is a demonstration that, when we want, we can reforest sustainably. A tattoo in the forest. The pattern has been repeating itself for a few years. When the temperatures drop and the days get shorter, a huge smiling emoji appears on the side of Mt. This is neither a curiosity nor a coincidence: it is something premeditated and measured to the millimeter by David Hampton and Dennis Creel. David is co-owner of a logging company called Hampton Lumber and Dennis, its forestry manager. In 2011when the company was preparing to reforest an area of ​​the forestthey wondered if they could have a little fun and create something that would bring joy to anyone passing by on the highway. After a meticulous planningthey started planting conifers, but not just any conifers. The science behind reforestation. The process was complex. The team that was going to carry out the plantation drew a circle of about 90 meters in diameter using a rope and, starting from the center, triangulated the positions of the eyes and mouth. They spent a week taking measurements and, when they finished, they began to plant. The chosen trees They are two species of conifers: the Pseudotsuga menziesii and the Larix occidentaliyes. Conifers are evergreen, which means they do not lose their leaves in autumn, but Larix occidentalis It has a peculiarity: they lose all their needles during the fall. When the weather changes, the chlorophyll responsible for giving that green color breaks down, so the leaves retract and golden pigments are revealed. There is a reason behind this pattern: by losing its needles, this species reduces the weight load on its branches, which allows them to withstand winter snowfall better and, in addition, they are also more aerodynamic. In short, they are more resistant to structural damage and, in spring, when it absorbs nutrients, the leaves turn green and the emoji disappears until the following fall. Message. Reforestation is not planting trees without rhyme or reason. Although in some areas fields are being replanted with suitable trees, in many others non-endemic or non-endemic species are being planted. They will not withstand extreme conditions like those caused by climate change. Beyond the positive message to drivers, Hampton Lumber created this as reminder that forest areas that are “harvested” can grow back strong and regenerate in a healthy and sustainable way. During the growth of conifers, the forest is free access for visitors who engage in outdoor activities, and their intention is for the emoji to be an example of sustainable growth and… artistic expression? Emoji for a while. Currently, the company plant a million trees a year, but no area is as iconic as that segment between Willamina and Grand Ronde on Highway 18. The estimate of the company is that the smiling face will be visible for another 30 or 50 years. It will be the point at which the trees in that area reach maturity and are processed. Now, they also comment that, as time goes by, the emoji will lose “definition.” The leaves of conifers can lose some of their vitality over the years and strange things can happen to that friendly smiling face in the bush. Image | Tedder In Xataaka | China is carrying out the most ambitious reforestation project in the world: a “wall” of 4,500 kilometers of trees

How to obtain information from what appears on your iPhone screen with Apple Intelligence

Let’s tell you how to use Apple Intelligence To obtain information from what comes out on the screensomething you can do with the new functions of artificial intelligence of iOS 26. However, you will do the search with Chatgptthat from the previous version of iOS was already integrating into Apple Intelligence. This tries to be able to make a kind of screenshot at the time you want, but only and then ask the questions about anything that appears in it. You can ask you about some text, link or image, and even look for duplicate images. AI to ask for what you have on screen The first thing you have to do is Use the shortcut to get a screenshot When you want to ask a question related to something that appears on your mobile screen. For this, press at the same time the physical buttons to climb volume and ignition of your iPhone. This will take you to the new capture screen. In it, the controls for screen capture are above, to cancel it or save it. Below you have the functions of Apple Intelligencewhich will allow you to interact with the content. If a link appears, you will also have the option to enter the web that you see on the screen. If you click on the action to askyou are going to take Chatgpt within Apple Intelligence. The first time you do it, you will be asked to activate it. When you activate it, you will have a writing field. If you do nothing up an automatic action will appear, such as describing what appears on the screen. Here, You can ask any questions related to what appears to you On the screen. You can ask you from things related to the text to others that are related to some image, and even solve mathematical problems that appear to you. You also have a button Look for With the image iconwhat will do will be to perform an artificial intelligence search to find images similar to the one that appears on the screen at the time you have started the action. In Xataka Basics I want to buy the new iPhone: everything you should consider to choose the one that best suits you

The J -15dt appears armed with electronic pods and points directly to the Fujian

Nails recently published photographs offer A good look of the J-15DT, the electronic war version of the Chinese hunting J-15. It shows at least three external pods, in addition to low visibility badges and a code associated with operational devices. It is an indication that we are not talking about a simple prototype and that this variant aims to operate from attancies with catapult like Fujian. It is convenient to keep the caution before the images, but everything fits with the program address. What do we know of the J-15DT. The J-15D was already shown as a Chinese electronic war platform (EW) with specialized pods and support/sead approach, According to Jane’s in its Zhuhai 2024 coverage. The DT version would go one step further to optimize to Catobar, with visible external changes and structural modifications associated with catapult operations. The most recent images hold that reading. The J-15 did not start from scratch: Beijing acquired in 2001 in Ukraine an unfinished prototype of SU-33 (T-10K-3) And he used it as a reverse engineering that later integrated plane and national systems (derived from the J-11B program). The model flew for the first time in 2009 and began operating from the Liaoning aircraft carrier from 2012, approximately. Since then, variants such as J-15T and DT for catapult environments have emerged. Electronic War in the air: the other battlefield. The J-15DT mission fits that of a “Chinese Growler”: disturb radars and communications, escort other devices and provide EW coverage to the shipped air wing. Army Collection also indicates The possible integration of YJ-91 Anti-Radiation missiles for Misiones SE (suppression of enemy air defenses), although there is no official confirmation. Will it operate from Fujian? Everything points to yes. The Fujian (Type 003)first Chinese aircraft carrier with electromagnetic catapults (EMALS), has shown in official material at the end of July 2025 indications of catapult launches with J-15T devices, and media as naval news they take for granted that the J-15DT is aligned with that platform. The entry into the Fujian service is handled by the end of 2025, a forecast subject to changes. One more piece in China’s military puzzle. The J-15DT is a gear of the modernization of the popular liberation army: “Modern” in 2035 and “world class” in 2049. In Naval, 2025 saw the commissioning of the first Type 054B frigate, while the family of Type 075 carrier has been incorporated since 2021; On the horizon, the future type 004 appears. All this reinforces the ambition of having a more capable embarked aviation. Images | Faysue6 In Xataka | The Achilles heel of the F-35: without Chinese rare earth, the US military supply chain staggers

You have the solution ready before the problem appears

Nvidia is where it is by chance. Just two weeks ago the company led by Jensen Huang reached a capitalization value of 4 billion dollars. It is the first company in history that materializes this milestone. Largely His overwhelming success of recent years It is the result of the privilege position it occupies in the hardware industry for artificial intelligence (AI) with a global market share higher than 80%. However, to find the authentic reason for its success we have to go back to its origins. According to Tae Kim, the author of the trial book ‘The Nvidia Way’this company continues to compete today thanks to two qualities of Huang: its perseverance and its intuition. Thanks to them, he managed to overcome in 1998 a crisis that He was about to end Nvidia. And thanks to them this executive has developed a surprising capacity of anticipation. Nvidia has trouble making the H20 GPU, but the solution is on the way ‘The dilemma of innovators’ It is one of Jensen Huang’s favorite books. The ideas that Clayton M. Christensen exhibited in 1997 have helped him not only to place his company in The privilege position that currently holds in the technology industry; They have also allowed him to keep it at the top of success for more than two decades. And, above all, they have taught him how to anticipate the blows and how he can prepare to fit them. The last one received it in April. And is that in the middle of that month the US Department of Commerce imposed new restrictions to the export to China of the GPU for AI H20what in practice caused this chip to stop arriving at the Chinese clients of this company. This news Nvidia’s shares sank 6% in the bag because I could no longer attend the commitments linked to the H20 GPU that it had acquired. Among the Chinese clients who had bought great amounts of this GPU, and who presumably planned to continue doing it, were Tencent, Alibaba or Bytedance. The most advanced TSMC manufacturing lines have a very high demand and there is an endless waiting list Finally, like We explain to you on July 15Nvidia has made the Department of Commerce review its regulation and allow you to sell the H20 GPU in China again. “The US government has assured us that licenses will be granted. We hope to start deliveries soon,” Pray a statement from Nvidia. But, once again, this company has stumbled upon a problem. When the Trade Department restricted the export of the H20 GPU, Nvidia asked TSMC to stop the manufacture of this chip. It is normal. It was expressly designed for the Chinese market and was not going to be able to continue selling it in China. Now resume large -scale production of the H20 GPU in the TSMC nodes is a problem because the most advanced manufacturing lines They have a very high demand And there is an endless waiting list. A priori this scenario could be a hard blow for Nvidia because it would prevent him from serving his Chinese clients, but the solution has been on his way for many months. And it is that the company’s engineers have been working on A new GPU with Blackwell microarchitecture The latest generation that is intended to occupy in China the place of the H20 chip. In fact, presumably TSMC began in June the production of The B30 GPUwhich is how it seems to be called. What we know at the moment is that this chip for AI will be less capable than the H20 GPU, as is logical, and also that its price will move between $ 6,500 and $ 8,000. For domestic users it is a lot of money, but in the field of professional GPUs for AI it is a moderate price. In fact, the H20 GPU costs between $ 10,000 and $ 12,000. Image | Nvidia More information | Commercial Times | The Information In Xataka | The US gives Huawei a great opportunity: to get its new chip for AI with the Nvidia market in China

Now reinforces your safety while GPT -5 appears on the horizon, according to ft

The irruption of Deepseek In the market it did not go unnoticed. On January 20, 2025 he put his Free chatbotand in a matter of days climbed up to the top of the ranking in the American App Store, surpassing Chatgpt. The impact was such that it even affected directly to the stock market value of NVIDIA. This success soon generated friction. Towards the end of that same month, Openai launched a serious accusation: the Chinese startup would have used its closed models to train its open source alternative. In statements to Financial Timesthe company directed by Sam Altman He claimed to have evidence of a distillation process that pointed to his Chinese rival. OpenAI reinforces your security measures Since then almost six months have passed. And if something has become clear, it was not allowed to pass the episode overlooking. According to the aforementioned British newspaperthe company initiated a thorough review of its internal practices and reinforced their security measures to reduce the risk of leaks or what internally they already refer as “corporate espionage.” “The episode motivated Openai to be much more rigorous,” said someone close to the security team. The American company has intensified its efforts to shield inside: it has not only expanded its cybersecurity workforce, it has also reviewed its protocols and hardened its internal policies. Among the most relevant measures is the isolation of much of its patented technology, which is now managed in out -of -line environments or separated from the rest of its networks. It has also implemented biometric controls of access to your offices, reinforced the physical security of your data centers and applies a policy of “Denegated output by default“To protect the weights of their models. If you wonder what this last measure consists of, the answer is quite simple: it implies that any critical data transfer is blocked by general norm, and it is only allowed if it has been expressly authorized. Thus, any attempt to extract the models – or sensitive parts of them – is automatically denied unless it is manually enabled, minimizing the risk of escape. This armor comes at a key moment for the company. The career for leadership in artificial intelligence has accelerated, and Openai is no longer seen as an unattainable force. The competition narrowstalent is expensive –Goal has begun paying exorbitant figures by their engineers– And all eyes are put on the arrival of GPT –5. Although OpenAi has not confirmed the exact date, Sam Altman has said that The new model is on its way and that will be “a great evolution” with respect to what we know. Everything indicates that GPT -5 will unify the best of the previous versionswith greater reasoning capacity, better customization, and, presumably, a broader context window. The pressure to launch it without errors, in an increasingly competitive environment, is maximum. Images | Solen Feyissa | Xataka with Grok In Xataka | Huawei and Alibaba’s grudge threatens to transform into a real war: that of AI between Chinese companies

Good news, the solar system has a new minor planet. Bad news, it’s so far that appears every 25,000 years

The International Astronomical Union has added a new celestial body to its Minor planet catalog: The Transneptunian object 2017 of201. The solar system has a new member. 2017 of201 has been officially recognized as a minor planet, but has many ballots to end also cataloged as a dwarf planet. This icy world, which orbits much beyond Neptune, in the dark depths of the solar system, was in file data since 2011, but 19 exhibitions were needed over seven years to be able to analyze and classify it as appropriate. What makes this transneptunian object a fascinating world are two things: its incredibly extensive orbit and its considerable size. The new minor planet takes approximately 25,000 years to take a single round to the sun. A distant and not so dwarf planet. At its closest point to our star (the perihelium of its orbit), it approaches about 44.9 astronomical units, a distance similar to that of Pluto. But at its furthest point (its apelium) it ventures to amazing 1,600 UA. To get an idea, Neptune, the planet known more distant to the sun, orbits about 30 UA of our star. The estimates of astronomer Sihao Cheng and his team of Advanced Studies Institute They suggest that 2017 of201 has a diameter of about 700 kilometers. This would place it in the same league as The Dwarf Planet Ceresthe largest object of the asteroid belt (with about 952 km in diameter). In fact, if we judge it for the light that reflects your body, it is the second largest object known In such a wide orbit and eccentric. What if there were others like him? The existence of 2017 of201 suggests that the region of the solar system beyond the Kuiper belt, which was thought relatively empty, I might not be so much. The transneptunian object is currently 90.5, from us. Since it is only detectable for approximately 0.5% of its orbital time, when it is close to its perihelium, there could be hundreds of similar objects, with orbits and similar sizes, waiting to be discovered. This hidden population could add a total mass close to 1% of the dough of the earth, they estimate Cheng and its team. It takes us away from the planet nine. Many extreme transneptunian objects tend to coincide in their perihelium lengths, a phenomenon that some astronomers want to attribute to the gravitational influence of A mass planet not yet discovered: The planet nine. However, the 2017 of201 perihelium length is 306 degrees, which is significantly diverted from the 60 degree group observed in other objects. This orbital peculiarity Challenge the planet models nine. If the planet nine would exist, it would make 2017 of201 expelled from the solar system in relatively short time scales, of hundreds of millions of years, according to the study of IAS. You just lack a name. Already officially member of the Solar System, 2017 of201 is pending to receive a name with more hook. However, its discovery is already providing clues about the origins of the solar system and the dynamics of its most remote confines. What most excites the scientific community is that its discovery was possible thanks to open data, publicly available through the Dark Energy Camera Legacy Survey (Decals) project of the Víctor M. Blanco telescope and the Canada-France-French telescope (CFHT). Image | NASA/JPL-CALTECH, SIHAO CHENG et al. In Xataka | Planet’s definition is wrong, and Pluto is the great victim of that chaos

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