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Beijing just gave the best news to NVIDIA

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NVIDIA has been caught in the crossfire of the trade war between the United States and China for more than a year. Its most powerful chips could not be sold to the Asian giant because Washington required export licenses and later Beijing did not give the green light to imports. This week the two fronts have been unlocked simultaneously and Jensen Huang has taken advantage of his annual developers conference to announce it out loud. Your factories they are starting enginesand the future is brighter than ever for her. H200 chips, unlocked. The H200 chip, NVIDIA’s second most powerful chip today, had become the center of trade and technological tensions between China and the United States. The Trump administration had already granted export licenses but of course, as long as she got her cut. Which was missing it was him approval from Beijingthat according to Reuters It has arrived this week for many of the customers who were demanding access to these chips. Among them are ByteDance, Tencent, Alibaba and DeepSeek. China is a gold mine. Before the restrictions imposed For the US, China represented 13% of NVIDIA’s total turnover. The export veto was highly criticized by Jensen Huang, who did not stop criticize the measureof try to avoid it and to explain that what the US had done was not protect its technology, but rather shoot itself in the foot. During this blockade, Chinese companies have been advancing both in the development of AI models and in the development of their own chips. They still have room for improvement, but this effort to “become independent” from US technology is already bearing fruit and perhaps would not have occurred if it were not for the US veto. There will also be Groq chips. NVIDIA will not only export its H200 chips, but is preparing a version of its AI inference accelerators for the Chinese market. Specifically, we are talking about Groq chips, a company in which NVIDIA invested $20 billion to “license” its technology, although In practical terms I have acquired it. These chips are especially interesting because they are not used to train AI models, but to execute and “serve” them. This is the market that is growing the fastest right now, and where competition is toughest. But China already has inference chips. Companies like Baidu they are already producing its own inference chips, which means that NVIDIA will not enter the Chinese market from a monopoly position, but as another competitor. What is striking here is the fact that Groq chips are not refined versions nor are they adapted to this market according to the cited sources. in Reuters: They will be the same ones that companies in the US or other parts of the world use. China will continue without access to Vera Rubin. This week NVIDIA presented a new line of products built around its next AI chips, the Vera Rubin. These chips cannot be sold to China due to current restrictions, so at NVIDIA they have found a hybrid architecture: Vera Rubin for markets where it can operate freely, and Groq as an inference component for China. NVIDIA is brimming with optimism, and with good reason. Jensen Huang spoke precisely in his inaugural conference about how promising the company’s future looks. Previous projections spoke of medium-term revenues of $500 billion for its Blackwell and Rubin chips. Inference solutions and this “opening” to China now mean that this forecast is doubled: Huang hopes to achieve at least $1 trillion in cumulative orders by 2027a simply dizzying figure that makes it clear that NVIDIA’s business seems to be in an enviable state of health. Image | NVIDIA In Xataka | DLSS 5: Millions invested in AI graphics improvements so people say it looks like an Instagram beauty filter

China already has two chip manufacturers with 7nm technology. This is very bad news for the US and its allies.

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SMIC (Semiconductor Manufacturing International Corp), the largest Chinese semiconductor manufacturer, has the capacity to produce 7nm chips from 2023. At the beginning of September of that year this company shook up the integrated circuit industry by demonstrating that it had been able to manufacture these semiconductors despite not having access to UVE photolithography equipment (extreme ultraviolet) produced by the Dutch company ASML. These highly sophisticated machines are necessary to manufacture cutting-edge chipsand ASML cannot sell them to its Chinese customers because the US, which controls some of the patents used by this equipment, prohibits it. Still, in 2023 SMIC and Huawei worked hand in hand to manufacture 7nm ICs without using ASML’s EUU machines. Of course, they used deep ultraviolet (UVP) equipment that this company from the Netherlands also produces. UVP machines are not as advanced as UVE machines, but with proper refinements they can be used to manufacture cutting-edge integrated circuits. And now China has two semiconductor manufacturers capable of producing 7nm chips. As we have just seen, one of them is SMIC, and the other, according to Reutersis Hua Hong Semiconductor, the country’s second largest integrated circuit producer. The shadow of ‘multiple patterning’ is very long Hua Hong Semiconductor’s division specializing in third-party chip manufacturing is called Huali Microelectronics, and, again according to Reutersis preparing to start production of 7nm integrated circuits at its Shanghai plant. The sources that have revealed this information assure that Huawei has collaborated with Huali Microelectronics on this project, which invites us to reach two reasonable conclusions. It is very likely that with the help of Huawei, Huali has developed ‘multiple patterning’ techniques The first is that Huali’s 7nm lithography will most likely play an essential role in GPU production capacity for artificial intelligence (AI) from both Huawei and other Chinese companies. And the second conclusion is actually a plausible hypothesis. And, like SMIC, Huali does not have access to ASML SVU equipment. For this reason, it is very likely that with the help of Huawei it has developed security techniques. multiple patterning to be able to manufacture 7nm chips with the UVP machines in its possession. A priori, UVP machines are suitable for manufacturing semiconductors up to 10 nm. And with EUVs it is possible to exceed 3 nm. However, by refining the processes involved in transferring the pattern to the wafer and turning to multiple patterning It is possible to go beyond these integration technologies. This technique broadly consists of transferring the pattern to the wafer in several passes with the purpose of increasing the resolution of the lithographic process. It may have an upward impact on the cost of chips and a downward impact on production capacity, but it works. Either way, Huali Microelectronics is going to face the same challenges that SMIC has dealt with for the last three years: the multiple patterning seriously limits the number of viable chips per wafer that is possible to manufacture. And, therefore, it increases its cost. Still, it is very important for Chinese AI chip designers to have access to two companies capable of producing their designs with advanced photolithography technology. And for Hua Hong Semiconductor it is crucial to have the ability to manufacture, thanks to Huali, cutting-edge integrated circuits and not just 22 nm or larger (this is the most advanced photolithography it had so far). Image | Generated by Xataka with Gemini More information | Reuters In Xataka | TSMC is already the highest-earning chipmaker on the planet. It has beaten two semiconductor giants

MásOrange has begun to completely dismantle its 3G network. Not good news for elevators

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If you are one of those who usually browse even on a 3G connection, we have a curious fact: you are from the club of 1.82% of global traffic. The operators carry years saying goodbye to this networkand MásOrange has been the last to take the step. The operator is going to say goodbye to its 3G network for good reason. Hello to 5G. MasOrange has been the last of the large operators to start with the shutdown of 3G. Vodafone finished turning off its networks two years ago, and Telefónica is about to finish the process. With the release of the spectrum used by 2G and 3G connectivity, operators have additional bands to reinforce 5G technology. Specifically, the 900 and 2,100 MHz bands allow expanding coverage in areas with lower population density without the need to build new towers. A progressive plan. Although 2G and 3G connections sound completely obsolete, they are still necessary to connect a good number of day-to-day technologies. Elevators Cars with eCall system with 2G modules Telecare services security cameras Home alarms Old dataphones For this reason, the plan to dismantle the Spanish 3G network is being carried out progressively, giving time for a good part of these devices to update their connection modules. Although 3G was scheduled to say goodbye forever between 2025 and 2026, current plans keep it alive until 2030. A great challenge ahead. The 3G network continues to be a great ally, both for older devices and for times when 5G coverage does not have range. The challenge now is, precisely, that the deployment of 5G is even greater. For three decades, 3G invaded every corner of Spain, and some of the networks it uses (900 MHz) are especially good at passing through walls and operating in rural areas. Therefore, in complicated areas your mobile still connects to 3G. The end. Maintaining 2G and 3G networks is unsustainable. The radio space they occupy is especially valuable and, although there are devices that still use old technology, their dismantling is necessary. Cover image | Baatcheet Films In Xataka | How to request an eSIM from each operator in Spain: in which cases it is free and application methods

For the first time, BYD has sold more cars outside of China than inside. It’s very bad news for them.

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Pursue your dreams… outside of China. Beyond Your Dreams are the words hidden behind the acronym BYD. The acronym of the company that sold the most electric cars in the world in 2025. A company that seemed to have meteoric progress but that has stagnated with a local market that is slowing down at a dizzying pace. So much so that it has already sold more cars outside of China than inside. A well-thought-out strategy that arrives ahead of time. A milestone?. The month of February was the first in which BYD has sold more vehicles outside China than in its own market. It is a conditional milestone, since sales in China of the entire market have plummeted and, of course, have hit the country’s largest car manufacturer hard. A general trend. Although in 2025 car sales in China once again set a record with 34.4 million cars sold (a growth of 9.4%, according to the Chinese Association of Automobile Manufacturers) in figures collected by the media 36krthe market has been experiencing a slowdown for months. In February, car sales in the country fell 15% compared to the same month in 2025, they point out in Reuters. But the problem is worse among individuals, where sales have fallen by 34% as a result of the Chinese New Year festivities and the withdrawal of some purchasing aid. The latter has had a direct impact on sales of “new energy” cars (plug-in hybrids and electric). According to data collected by CNEVPostIn January, 596,000 cars of this type were purchased, compared to 744,052 units in the same month of 2025. A drop of 22.1% that worsened in February, with 464,000 units sold compared to 686,000 units the previous year. It is a year-on-year drop of 32%. The BYD case. This general decline in sales, with more worrying figures among new energy vehicles, has had a direct impact on BYD. Last January, BYD sold 210,051 new energy cars when in the same period of 2025 it placed 300,538 units on the market. In February, the figures were worse with 190,190 units sold compared to last year’s 322,846 units, reported in CNEVPost. That is, so far this year, its sales have fallen by 30% in January and 41% in February, extending a trend of low sales that has been going on since September of last year. BYD sales have not grown in China since June 2025. In July and August they achieved a technical tie in the year-on-year comparison but, since then, they have lost in all one-year comparisons. These falls have caused Geely to surpass BYD in sales in the first two months of the year. Between January and February, Geely has sold 476,327 units, just 1% more than in the same period of the previous year. There are just over 76,000 units than BYD (400,241 vehicles between January and February) thanks to a larger product portfolio and less dependence on “new energy” vehicles. This has avoided a fall due to the withdrawal of state aid, they state in SCMP. More outside than inside. As we said, BYD’s sales have plummeted in China but its exports have skyrocketed abroad. This has meant that the company has sold, for the first time, more cars outside its borders than within its borders, they point out in Electrive. Two factors explain it 41% decrease in sales in China compared to February 2025 Increase in exports of 50.1% compared to February 2025 The company has managed to consolidate sustained growth in its exports. They point out in CarNewsChina which with February now adds up to four consecutive months exporting more than 100,000 units. This has caused them to place outside their borders this month 100,600 units of the 190,190 units which have sold all over the world. That is, more than 50% of its sales have been delivered outside of China. a mirror. BYD has become the best example of what the Chinese market is all about. The country lives in a whirlwind of launches and a suffocating price war. BYD itself, with its new launches at ultra-competitive prices, has caused their own cars become obsolete with months on the market, gathering dust in dealerships. The rest of the companies have also played to lower prices to keep up the pace and release news at a frenetic pace, but that produces some anxiety in the client that sees how what is new today can be left behind very soon. Bad news in a country like China that has been trying for years to promote domestic consumption to put its economy into higher gear. But, in addition, the State has withdrawn some aid to the purchase of electric cars, the most important column in the industry. This has its consequences in the drop in sales among individuals. Before time. That BYD intended to expand outside China was no secret. In fact, his plans happened because half of global sales will be consolidated outside of China in 2030. The expansion plan with the factory Hungarythat of Türkiye and, it is rumored, another in Europe is part of it, without forgetting the Thailand and Brazil. The question is to know if this surprise of sales abroad has arrived too soon and the only thing it confirms is the slowdown that the brand will have to deal with in China. If you want to consolidate yourself as one of the largest global manufacturers (there was talk of reaching 5.5 million units in 2025 but finally they stayed below the 5 million border) it is essential that they expand borders and not depend solely on the internal market. European manufacturers can give BYD some examples of what happens if you base the bulk of your strategy on selling in China. Photo | BYD In Xataka | The year of Chinese consolidation in Spain: MG, Omoda and BYD close a spectacular 2025 and are among the best sellers

The good news is that AI models are becoming more powerful. The bad thing is that everyone ends up saying the same thing.

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We have artificial intelligence. What we don’t have is artificial diversity. That is the conclusion reached by a group of researchers who did a relatively simple test: they asked 25 different AI models a bunch of questions to see what they answered. And that’s the bad thing: who answered things that were too similar. “Artificial hive mind”. Scientists from the University of Washington, Carnegie Mellon University and Stanford University, among other institutions, have published an interesting joint study. In it they reveal how after various tests it seems clear that although AI models are becoming more and more advanced, the problem is that they all seem to have developed a kind of “artificial hive mind”: no matter what you ask them, they answer in a suspiciously similar way. When asking all these models “what time was”, many responded with the phrase “time is like a river”, while another group of models answered that “it is like a weaver”. time is a river. One of the questions asked of these models is “What is time?”and although that question leaves clear room for very different answers, the worrying thing is that they were not. Several models responded with the phrase “time is a river” and then developed it a little, while others responded with “time is a weaver (of moments).” That similarity when it came to responding turned out to be a constant. The illusion of abundance. We believe that when we consult something with an AI we access a whole world of conversational possibilities, but the study reveals that in reality we are facing a system that proposes very similar outputs. Although language models promise limitless creativity, they tend to converge on that hive mind where diversity is sacrificed for statistical consistency. It is reasonable, especially considering that large language models They are based on the concept of transformera probabilistic system that tries to find the next “best” word as it answers us. Same script. The researchers created a large-scale data set with 26,000 queries from real users that theoretically allowed the models to generate multiple valid and creative responses. They called that data set “Infinity-Chat” and divided the questions into six main categories and 17 subcategories. IA, you repeat yourself more than a broken record. During the tests it was observed that the same model tends to repeat itself, generating very similar responses. In fact, even when special parameters were used for questions designed to encourage diversity, the same effect was produced. This is what researchers call “inter-model collapse.” Too similar. These tests made it clear that the semantic similarity, how similar the responses of the different models were, was worrying. According to the study, this similarity ranged between 71% and 82%, and in some cases certain models managed to generate identical paragraphs word for word. The training problem. It is not only that they all generate text in a similar way due to their design, but there is also a training problem. The authors suggest that this homogeneity of responses could be due to several reasons: Training data sources end up being shared: models They are trained with similar “datasets” and for example they are based on similar texts and knowledge that come, for example, from Wikipedia or a very similar set of books. Contamination effect due to synthetic data generated by other AIs: they also use synthetic texts generated by other AI models. Rewards: The models used to reward these models are calibrated to reward some notion of “consensus” quality. Thus, creative and individual diversity is punished. AIs are “educated” to be precisely very similar to each other. Problem in sight. All of this makes researchers explicitly warn about two clear risks when using these AI models. We will think the same: if we users do not stop using AI models that answer basically the same thing, our own ways of thinking on those topics and problems will be “homogenized”and it will also make our responses more uniform. Point of view reduction: The other danger follows from the first: if the AI ​​ends up converging and answering the same thing, points of view are eliminated. Here the biases for example from the western world will be evident in Western models (ChatGPT, Gemini, Claude), and the same will happen with the oriental ones, for example. This would cause the potential suppression of alternative worldviews, of perspectives and “looks” that are different from our reality. Image | Solen Feyissa In Xataka | The scientist who made the AI ​​we know today possible has just raised 1 billion. His new goal is to teach him to see space

Many people hide behind anonymous accounts thinking that no one can discover them. AI has bad news for them

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Accounts without a profile photo or real name plague social networks; perhaps even you, who read these lines, are the owner of one. We do not judge, there are many reasons not to show your face on networks and, in fact, anonymity is the pillar on which the internet has been built. However, if you thought that calling yourself ‘user84721’ and having a landscape photo protected you, researchers have just shown that accounts can be deanonymized in minutes with AI (of course). The study. A team of researchers has published a study called “Large-scale deanonymization online with large language models” which is echoed Guardian. In it, they demonstrate how an LLM-based agent is able to compromise anonymous social media accounts with astonishing efficiency. The process consists of three steps: the LLM extracts identifying data (age, location, interests…), looks for possible matches in other users and finally reasons which are the best candidates, verifying the matches and eliminating false positives. Minutes. This is how long it took to identify users on sites like Reddit, Hacker News, and Anthropic Interviewer Dataset participants with this method. In the image you can see how, based on a few pieces of information such as where the student studies, the approximate age, the city and the name of the dog, they achieve a match with the user’s real profile. This is a fictitious case, but in the experiment they managed to identify real users by cross-referencing information with Linkedin profiles and other platforms. According to the researchers, LLMs allow for large-scale deanonymization of accounts, far exceeding the speed and efficiency of classical methods. They also highlight that there is not always enough information to reach a match, so everything depends on the online footprint of each user. Consequences. Researchers warn that this use of AI could be used for problematic purposes, such as governments that want to identify activists or cybercriminals seeking to launch highly personalized attacks. In addition, it must be taken into account that the system is not infallible and there may be false positives. Speaking to The Guardian, Peter Bentley, professor of computer science at UCL, warns that “People are going to be accused of things they haven’t done.” The end of anonymity. As we said at the beginning, the Internet has been built on the anonymity of its users, but we are experiencing a regulatory shift that pursues precisely put an end to it. We see it with the ban on social networks or the blocking of pornographic websites for minors promoted by countries such as United Kingdom, Australia, Denmark and now also Spain. These initiatives require the identification of users to be able to access certain content through video selfies, electronic ID, verification systems with AI… There are many options, What is not clear is its effectiveness. Image | Own preparation on a background of Google DeepMind In Xataka | There was no need to invent a “pajaport”, Google already includes it in Android. The real challenge is in Europe

The almond trees throughout Spain are already in bloom and that is fantastic news for the sector. Or also a disaster

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40 years ago, on January 10, the father of Simplisíssimus told him it would be a bad year for the almond. The reason was simple: when the trees flowered early, the almond embryo was exposed (“weak and sensitive”) to late frosts that could destroy entire crops. Therefore, the good time for flowering was March, he explained. And he must have been right, but in the last 44 years it has been increasingly difficult to prove it. According to an article published by AEMETSince 1981, the flowering of the almond tree has been advancing systematically and documented throughout the country. But it seems that, at least in some areas, this has changed this year. If confirmed, it could be good news. When do almond trees bloom? According to the work of the Autonomous University of Madrid, the Senckenberg Research Institute and AEMETin these 40 years, the median flowering date in the center of the peninsula has moved from February 12 to February 7. Of course, the progress has not been linear: it has accelerated in recent years. At a historical level, the most advanced in recent decades was in 1993 (around January 8). And why should we care? In general terms, because the almond tree is the most extensive woody crop in Spain and, in fact, it is growing: in the last decade the dedicated area has grown by 34%. The almendril madness in the country is such that, well, Spain leads the sector with 765,000 hectares productive. That is, it is an issue that matters to us as a country. So, we’re talking about good news, right? It will depend on how the weather goes from now on and, furthermore, we must not forget that It has not been like this in all places. However, as has been happening lately in the field, it can be (at the same time) good news and bad news. Good because a big harvest would help remove volatility that the almond has had in recent years, because it would help generate rural employment in a year which is expected to be complicated by flooding and will give a break to agricultural insurance. And yet, a good harvest can end up delaying a fundamental debate: that of varieties. The only way the sector has adapt to climate changes is betting on late or hyperlate variants. They are not a magic solution, but it is a solution. The question is whether the global almond giant, up to its eyeballs in debt, will understand that it has to make a move. Image | Tim Mossholder In Xataka | An end of February with 20 ºC, haze and full reservoirs is not “good weather”: it is the sign of a completely misplaced meteorology

Sam Altman is laying the foundations for post-humanism as the philosophical current of the AI ​​era. It’s not good news

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“But it also takes a lot of energy to train a human. It takes about 20 years of life and all the food you consume during that time to become intelligent.” These two sentences were enough delivered at the India-AI Impact Summit 2026to set the networks on fire. But Sam Altman didn’t stop there. “Not only that, it took the widespread evolution of the 100 billion people who have lived and who learned not to be eaten by predators and to understand science and so on to create you,” continuous. Therefore, the criticism about “how much energy is needed to train an AI model” They are extremely unfair. And it’s curious. The most “unpopular” technology in history… Not because it is not understandable (or even because it is not reasonable). It’s funny because Altman and the rest of the AI ​​bigwigs don’t seem to realize that they are making every effort to make AI extremely successful. unpopular among the population. Maybe it’s nothing new. Maybe it’s something similar to what happened with fabric making machine salesmen in the midst of the industrial revolution. Maybe it’s something similar to what motivated movements like that of the Luddites and the reason why dozens of historians rewrote their history as that of poor technophobes. What has changed is that we are now broadcasting it to the entire world — and live and direct. And very insistently. Although the discourse they use to ‘sell’ their technology to investors, technical elites and politicians around the world can only be understood at a public level as a very sophisticated way of saying: ‘human things get in the way.’ Or not so sophisticated, of course. …that is finding its “public” Team Mirai Over the last few years, in fact, the process has become less and less subtle and more blatant. It is not something that is limited to AI companiesbut it is an increasingly clear phenomenon: people speaking to a convinced hyperminority while alienating the vast social majority. And artificial intelligence is the tip of the spear. And it wouldn’t be a problem if there weren’t something else: the current great technological battle is not only technical, it is ideological, philosophical and of values. For the social changes they hope to be successful, it is necessary to move the ‘Overton window’ as quickly as possible. And it’s working. The best example is Japan: in the last election, Team Mirai ran. As Antonio Ortiz explainedis “a new Japanese party founded by engineers” with “a fairly accelerationist program: government chatbots and databases for transparency of donations and to make politics ‘faster’, reduce paperwork and achieve an increase in productivity to compensate for the labor shortage.” Well, those people just got 11 seats and 7% of the votes. In a way, two apparently contradictory processes are two legs of the same phenomenon: the discourse becomes more explicit as the population becomes more related. And changing the world is also (and above all) changing ideas. We tend to have a softened vision of social changes. However, there are several psychosocial processes that are usually key for these to be carried out: delegitimization (“what ruled until now no longer deserves obedience”), demonization (“those who hold these ideas are evil”) and dehumanization (“they are not human, moral norms do not apply”). You don’t always get to the last step, but some degree of moral disconnection it is necessary. And the artificial intelligence revolution (and all the tensions it brings) continues to show similar signs: for years, accelerationist and posthumanist groups have been ‘operating’ in the shadow of the great social and political discourses. Now, however, they face it: as the AGI approaches, everything we thought we knew (on a social, economic or institutional level) is useless. Or so they try to make us believe. And the best example is that of Altman: the CEO of OpenAI does not have to declare himself a posthumanist to lay the rhetorical tiles through which these discourses will travel: when you convert the human into energy cost comparable to an AI model, you are lowering the bar to justify “anything” in the name of efficiency But what exactly is all this talk about posthumanisms and accelerationists? Although they are two different philosophical traditions (posthumanism questions classical humanism and lays the foundations for its improvement, while accelerationism is a family of ideologies that propose accelerating certain dynamics – technological or capitalist to provoke radical social change), the truth is that in recent years they have ended up coming together. And, beyond that, they are providing the mental framework that allows certain decisions to be made that, in other scenarios, would not be socially acceptable. When the human being ceases to be the ideological ‘center’ of the system, acceleration becomes the great political principle and the AGI becomes the utopian destiny of a post-scarcity society (the modern equivalent of the Christian heaven or the Marxist classless society), everything that opposes this — rightly or wrongly — will become old, outdated or outdated. Altman’s statements in India are not an accident: they are part of the delegitimization of the current system of values ​​that the next revolution needs and, as we see, is already underway. Image | Xataka In Xataka | “A place of joy with pain”: the phrase that summarizes the Aztec philosophy to be happier in this life

The Iberian lynx is reconquering Spain and that is good news. The challenge now is to understand why

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In 2002, there were 94 Iberian lynx confined to two very specific points in Andalusia. It was so obvious that the future of the species was written that no one bothered to read it. And hence the surprises: almost 15 years later, There are 2,401 copies distributed across 17 nuclei breeders in six autonomous communities (and Portugal). But the most interesting thing is not that the Iberian lynx population has grown, what is interesting is that its recovery is so great that it now frequents places where it has not been seen for centuries. This is what has changed and, above all, these are the consequences. Has the situation changed that much? At least on a symbolic level, yes. Of course. In 2014, there was not a single lynx in all of Castilla – La Mancha. Today, 46% of all Spanish individuals of the species they are there and it already exceeds the Andalusian population. That is, what is happening with this feline is much more than a simple story of population growth (also 29% a year since 2020): it is a whole change in the ‘center of gravity’ of the species. And yes, it is good news. In fact, the IUCN removed it from the “endangered” species and put it on the “vulnerable” list. Is the first species to drop two (two!) categories on that list in just 20 years. Did we really not see it coming? The truth is that not only did we see it coming, it is what we were looking for. But, as I said at the beginning, the general journalistic account that has been done at the national level hides all this. In 2019, when the project started LIFE LynxConnectthe idea was precisely that: it is not enough to have many lynxes if those lynxes are controlled in only a couple of places. Recently we were talking about the very delicate situation of the immortelle of Mojácara plant that survives confined to a single beach on the Mediterranean coast. That couldn’t happen with the lynx. Therefore, the idea of ​​authorities and researchers was simple: we needed various nuclei and we needed to connect them to each other. In any case, it is not all our merit. Because, as always, climate change has a lot to do with it. The north of the peninsula is becoming drier and has greater populations of rabbits: this has meant that there are at least two towns (in Cuenca and Palencia) which are completely outside the recent historical distribution of the lynx. And if those two populations are there it is because they can be there now. In fact, experts rule out that the lynx extends to the Cantabrian coast because, simply, there are not an abundance of rabbits. Okay, and what are the consequences of all this? To begin with, the ecological balances to which we are accustomed have changed. In fact, now that rabbits have become a problemmany rural communities are waiting for the arrival of the lynx to put things in place. However, there are also numerous life safety problems (162 accidents in 2024 alone) and challenges for territorial planning. Be that as it may, the lynx is a laboratory now that the reintroduction of species is the order of the day. Also now that they arrive invasive species at a level never seen before. There is much to learn and, I fear, little time to do it. Image | Kenny Goossen | Ian In Xataka | England is experiencing an unprecedented invasion. The problem is that they are octopuses, and they are devouring everything they can find.​

news and everything that changes in ChatGPT with the new version of its artificial intelligence model

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Let’s tell you what are the news GPT 5.3 Instantthe new version of the model artificial intelligence of ChatGPT. Therefore, we are going to give you a list of the main changes in this version, so that you know the improvements and what changes from now on. As it is understandable that you are a little confused with the numbers, I can tell you that yes, there was already a version of GPT-5.3 that was released in February. It was about GPT-5.3 Codexcreated to write programming code. And on March 3 it was launched the GPT‑5.3 Instant conversational variantwhich is used when he responds to you using text in a conversation. What’s new in GPT 5.3 Instant Next, we are going to give you a list with the main news that brings this new version of the OpenAI artificial intelligence model. We are going to do it in list format with a brief explanation of each news so that it is easier to understand. Improvements in tone and conversational style: OpenAI admits that GPT-5.2 could sound a bit overbearing or make unwarranted assumptions about user intent or emotions. Now, GPT-5.3 offers a more focused and natural tone, with fewer proclamations and filler phrases, while maintaining the bot’s personality. The tone can still be customized from the settings. Less hallucinations in the answers: GPT-5.3 has reduced hallucinations when searching online by 22.5% to 26.8%, and by 9.6% to 19.7% when relying on your knowledge base. Less censoring of responses: ChatGPT was having trouble rejecting questions that could be safely answered, being overly cautious with GPT-5.2 Unnecessary rejections are now reduced. Fewer moralizing warnings: In the preambles of answers, before telling you what you know, GPT-5.3 will moderate overly defensive and moralizing preambles. Come on, they won’t want to educate you so much, and will focus more on your question without explaining their safety limits. Improve the quality of responses with online information: This new version more effectively balances the information you have to search for on the Internet with your knowledge base and reasoning. So instead of simply summarizing what you find on the web, you first use your own understanding to contextualize recent news. This means that, by focusing less on the web, it does not generate such long lists of links. Best creative writing: Allows you to produce more expressive, imaginative and immersive texts. This way you can better switch between practical tasks and expressive writing without losing clarity and coherence. There is still work to do: OpenAI admits that there are still improvements to be made, and that for future versions they will improve the responses in languages ​​other than English, and also the tone of the responses. In Xataka Basics | ChatGPT apps: what they are and how to use them to give ChatGPT more features

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