Some researchers claim to have created an AI as good as those of Openai and Deepseek for $ 50. And the data is real

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The cost of training of models of artificial intelligence (IA) More advanced is in the spotlight. And it is understandable that it is so. The irruption of the Chinese company model Deepseekwhich presumably has A moderate training costhas questioned the strategy and investments deployed so far by OpenAi, Google or Microsoft, among other companies. A brief review before moving forward: those responsible for Deepseek argue that the infrastructure they have used to train their agglutin model 2,048 chips H800 of Nvidia. And also that this process with 671,000 million parameters has cost 5.6 million dollars. However, some analysts defend that these figures do not reflect reality. The report prepared by SEMIANALYSIS He maintains that, in reality, the infrastructure used by Deepseek to train his AI model approximately 50,000 NVIDIA GPU with Hopper MicroAritecture. According to Dylan Patel, AJ Kourabi, Doug O’Laughlin and Reyk Knuhttsen, at least 10,000 of these chips are GPU H100 of Nvidia, and at least another 10,000 are GPU H800. The remaining chips, according to these analysts, are the cuts cut H20. The ‘S1’ model takes more firewood On January 31, a group of researchers from Stanford University and the University of Washington, both in the US, published in the repository of open access scientific articles Arxiv A text in which it claims to have managed to train an AI model with reasoning capacity and benefits comparable to those of OPENAI or DEPEEEK O1 models facing an investment of just under $ 50. A boat soon seems impossible. With that money a priori it is absolutely unfeasible to train an artificial intelligence model. And less an advanced and capable of competing from you to you with those of OpenAi or Deepseek. However, it is true. To understand how they have achieved it We need to investigate the strategy they have devised. On the one hand, those 50 dollars represent the cost of renting the cloud computing infrastructure to which they have resorted to carry out the training. It makes sense if the time invested is very moderate. ‘S1’ has been elaborated from the free qwen2.5-32b model developed by the Chinese laboratory Qwen But there is something else. Something very important. His reasoning model, which they have called S1, has been elaborated from the free artificial intelligence model QWEN2.5-32B developed by the Chinese Laboratory Qwen, alibaba. And its reasoning process is inspired by the GEMINI 2.0 Flash Thinking Google model. They have not left zero at all. An interesting note: the S1 model is available in GITHUB together with the data and code used by these scientists to train it. On the other hand, the training process lasted less than 30 minutes using only 16 NVIDIA H100 chips belonging to the cloud computing network used by these researchers. From here comes the cost of Somewhat less than 50 dollars. However, there is another data that is worth not overlooked: the S1 Reasoning Model has been generated by distillation of the Gemini 2.0 Flash Thinking experimental model. Distillation is, in broad strokes, an automatic learning technique that allows the knowledge base to be transferred from a large and advanced model to a much smaller and efficient. This strategy saves many resources, although it does not serve to create models from scratch. Beyond the caraded 50 dollars of cost, the really important thing is that, as we have just verified, it is possible to put to tuning models of very competitive facing a much more restrained investment than those made by the large technology companies so far. Image | Luis Gomes More information | Arxiv | GITHUB In Xataka | Samsung is preparing to give TSMC a bars where it hurts most: the manufacture of the chips for ia

How US ships repelled the red sea drones without shooting a single shot

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In recent months, several news in those points of the planet where there are tensions or directly some kind of armed conflict, they gave us the first clues. The war that was fought until very recently has given way to a very different one where the human loses importance in the first line of the contest. That’s why United Kingdom has sent the P8 Poseidon to protect your submarine cables, or In Ukraine an optical fiber is worth more than some ammunition. Now, a document has revealed to what extent the war is different. Non -kinetic weapons. I told Business Insider a few hours ago through secret documents that have obtained from the intelligence of the United States. Apparently, during the American mission to counteract the attacks of the Hutis rebels in the Red Sea, The destroyers of the United States Navy such as the USS Mason and the USS Serly, managed to repel all drone attacks without firing Missiles or conventional ammunition. We talk about A period that covers between November 2023 and March 2024space in which these ships used non -kinetic capabilities, technology that includes advanced electronic warfare systems to deactivate enemy drones through electromagnetic interference and cyber attacks, instead of traditional defense methods. The electronic war revolution. The documents obtained by the medium reveal that these ships used advanced technologies such as the AN/SLQ-32 (“slick-32”) and the so -called Ship’s Signal Exploitation Equipment (SSEE)both designed to detect, interfere and neutralize the signs of enemy drones and missiles. These systems allow interrupt communications and guidance mechanisms of drones, leaving them inoperative without the need to physically destroy them. This technique, although it is part of the naval doctrine for years, had never been used with the intensity that is currently made against drone swarms in a real conflict. In fact, something similar in Ukraine is happening, The “mother of all battles between drones”. Strategic benefits in non -kinetic weapons. The use of electronic war for naval defense represents a crucial advance, in this specific case for the United States Navy, in front of attacks such as those perpetrated by the hutis, who They have launched about 500 drones against ships in the Red Sea and the Gulf of Adén since October 2023. Here The key advantages of these systems are several. From the savings of ammunition, since, instead of spending expensive missiles in each enemy drone, non -kinetic weapons offer a cheaper and more efficient alternative, until sustainability in combat, since by avoiding the exhaustion of the arsenal, ships can stay in the theater of operations without the need for frequent refueling. Plus: greater tactical adaptabilitysince the electronic war allows to counteract threats in real time, without revealing the location of the ship with shots or generating traces of heat. A change in the naval strategy. If you want also, the success of these systems in the Red Sea conflict marks a turning point in the Maritime War doctrine. In this regard, experts such as Bryan Clark, ex -official of the Navy and defense analyst at the Hudson Institute, highlight that this is The first time that the United States faces a massive use of aerial drones in anti -ribous attackswhich has forced the Navy to develop more sophisticated tactics. The experience obtained in these clashes not only strengthens the defensive capacity of US ships, but also provides key lessons for future conflicts, in which electronic war and non -kinetic weapons could play a predominant role. Exactly the same that happens in Ukraine where The battle has moved to another completely different level to other conflicts. A fact before finishing to understand the importance of this new paradigm shift: last year and in just two days, 1,600 aircraft in Europe had problems with GPS. He guilty: Electronic War. Image | US Navy In Xataka | United Kingdom will display the “Frankenstein” of the electronic war to protect its submarine cables: the P8 Poseidon In Xataka | The war in Ukraine has become totally deranged: there are drones throwing drones to attack other drones

almost exceed Netflix in the US

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If we are witnessing something in recent months, it is how the stampede of launch, audience peaks, capital premieres and other blows of effect of the platforms of streaming They calm down. The dust sits, frantic ads and blockbusters are increasingly scarce. But the low intensity combat continues. Netflix Queen, but … and then? We have declared how more or less informal winner of the war of streaming to Netflix: its number of spectators and the rhythm and scope of its premieres goes far beyond those of its competitors, to the point that the company itself is going to Stop communicating your number of subscribers. It is no longer in that war. But those who leave the rear have much to fight. For example, Prime Video has experienced a growth in the last quarter of 2024 that has put him very close to the queen. Prime video takes the front. This growth in the US market, According to data from the Parrot Analytics consultancyit has made it the second platform in the country, adding 16.7% of the total content requests of consumers. Before that quarter it was at 13.3% and in fourth place, behind Hulu (which in the United States is more powerful than Disney+, although in Europe Hulu and Disney+ are grouped) and Max. Netflix is ​​still in the lead, but by little, With 18.1% (Image of Parrot Analytics). What is this change? The power of cinema. The Catalog of Prime Video films is very extensive: with more than 25,000 films and more than 2,700 series in the United States, it is the most content platform. The figures in other countries have not been made public, but in many cases (such as the Metro catalog, Amazon property) Rights are shared, and it is true that you just have to wander for a while for prime video to check that the platform fund such as Disney+ or Max exceeds in no problems. In addition, it is the only platform, Next to Filminthat pays systematic attention to both classic and cult and series B cinema, what you taste apart, allows you to multiply your number of titles. This consistent commitment to cinema was strengthened in 2024, when the platform increased its catalog by spectacular 71.7%. For limited time. This explosive increase in catalog will not always be there (in the United States hundreds of universal films have arrived to Prime Video that will spend next year to Netflix; in Spain, a good part of that catalog background are distributed between Filmin, Prime video and skyshowtime). But for now, it has served to give this push: Parrot estimates that, in the first three quarters of 2024, 36.3% of Prime Video’s revenues were driven by the films. The movies also matter. In a panorama absolutely dominated by the series, it is comforting to verify that films can also boost the finance of the platforms. It is the reason why, without a doubt, Prime Video is one of the most budget they invest in the production of new feature films, such as’Road House‘,’ Jackpot! ‘ Or, in Spain, ‘Apocalypse z‘: They know that it is a good way to step on the heels of the gigantic Netflix. Header | Prime video In Xataka | Mrbeast showed that he was the biggest youtuber of all time. Now he devastates Prime Video audiences with his contest

What is artificial superintelligence (like), the type of AI that aspires to overcome the intelligence of all human beings

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Artificial intelligence raises a true revolution in our world, but for now its impact is relatively reduced. The appearance of Chatgpt In November 2022, things began to change, and although the rhythm of advances is remarkable, the scope of AI is limited. In fact, we have been talking about three large types of systems of systems for a long time artificial intelligence. Let’s see them with some more detail. So or artificial superintelligence Beyond the general artificial intelligence (AGI) is the call Artificial superintelligence (like)that would be that capable of creating systems that exceed human intelligence in all metrics. Thus, one would be among other things capable of improving itself autonomously, refining and optimizing its algorithms exponentially. That capacity, together with its cognitive superiority, would allow such a global challenges such as climate change, the shortage of resources or potential pandemics, and do it with an unparalleled effectiveness. But the development of a also raises a threat important potential. If these systems end up solving problems that go beyond human understanding, thus could redefine all kinds of industries, revolutionize the industry and change our society of unpredictable ways. In addition to how such could become aware of itself, thus being able to develop their own desires, motivations and moral framework, what would make it unpredictable. It is precisely that possibility that is reflected in many dystopic science fiction films such as’2001: an odyssey of space‘ either ‘Terminator‘in which the human race ends up practically extinguished by the machines. And it is precisely one of the risks Of those who speak Some experts In ia. Others like Yann Lecun, head of the goal, see that potential threat as “Absurdly ridiculous”. Agi or general artificial intelligence Much more ambitious than weak artificial intelligence is General Artificial Intelligence (AGI)which would allow solving any intellectual task to resolve by a human being. This artificial intelligence would be multitasking and could do hundreds, thousands of different things well. A general artificial intelligence would be able to perform all the tasks performed by human beings and even others that are not capable. Over time it is estimated that this type of agi systems could replace the human being in virtually any field And they could make human labor obsolete, something that would have gigantic social and economic implications. These systems could replicate the human ability to reason, learn and adapt to new problems. Thus, theoretically an AGI would be able to generalize their knowledge and apply them to a wide number of scenarios, something that the weak or narrow systems cannot do, although modern models of reasoning with Openai O1/O3 or Deepseek R1 go in that direction . Ani or artificial intelligence “narrow” These types of systems are able to solve very well defined and limited problems. The Narrow artificial intelligence (ANI) It is the one that has caused the true explosion of this discipline in recent times: different techniques have been applied such as Deep machine or learning To solve specific problems, and the results have been exceptional. The artificial vision systems that apply for example in urban traffic management are a good example of ANI. This artificial intelligence, also called “weak” or “narrow” (ANI, by artificial Narrow Intelligence) is what we have long seen applied to many scenarios with greater or lesser success. The achievements achieved with Deep Blue or with Alphago They are a perfect example of weak artificial intelligence: they solve a specific and delimited problem and that allow them to be solved so that these systems end up performing those tasks much better than a human being. But also now they are much more present in the hands of All generative AI models They are available in services such as Chatgpt, Claude or Gemini, but also in others such as Midjourney or Dall-E 3. These models are not able to adapt to their environment, although they can maintain a coherent dialogue, as the aforementioned chatbots do. In Xataka | The best books to enter artificial intelligence: five experts reveal their basic readings

It is the first time that happens in Spain

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The strike they propose through the CGT union The workers of Ubisoft Barcelona, ​​the only headquarters in Spain of the French multinational plans to begin next week, as of February 13. It is not the first labor achievement that these workers achieve, which They syndicated last summer through the video game union coordinator And, in November, they sued Ubisoft for changing what was agreed with respect to Teleworking policy. The date is not accidental: it is the same in which different companies in the sector will stop In France, organized by the Syndescat des Travailleurs et Travailleuses du Jeu Vidéo (STJV), French Industry Union. And although the conflict of workers with the company’s decision to reduce teleworking is the basis of the strike (a 33% reduction, after five years with 60% of the days of the month remotely), as a background is The tremendous crisis that the sector is going through. This crisis has caused layoffs for months, and in Ubisoft, according to CGT, About 500 jobs have been taken ahead. In Spain, the crisis He has hit hard to studies such as Novarama, Smilegate or Tequila Works. That is why the decision of the Ubisoft Barcelona team is especially relevant, which thus becomes The first study that carries out a strike within the industry of the country. The delicate situation that the industry is going through in Spain has led to the Minister of Labor, Yolanda Díaz, support workers’ decision from social networks. Ubisoft Barcelona has about one hundred and ninety employees and has collaborated in the company’s games such as ‘Tom Clancy’s Rainbow Six Siege’, ‘Watch Dogs’ and some deliveries of ‘Assassin’s Creed’. They could currently be working on ‘Beyond Good and Evil 2’. Header | Ubisoft In Xataka | The new delay of ‘Assassin’s Creed: Shadows’ points to Ubisoft is for sale. The question is whether you will have who bought it

Write 1,000 words per second

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Mistral competes before giants, but does not give up. Yesterday He released a new version of his chatbot, Le Chatin addition to offering it on iOS and Android and launching a payment version with advanced AI options. Your platform, available in chat.Mistral.AIearn whole and becomes more versatile, but also has an advantage over its competitors: speed. A chatbot at 1,000 words per second. Mistral responsible do not presume to offer more precise or better answers than their competitors, but yes they have a clear thing: “Le chat reasons, reacts and responds faster than any other chat assistant, to approximately 1,000 words per second.” Flash Answers. It is the name of this characteristic of Le Chat, which according to its creators is enhanced by the highest performance and lower latency models, in addition to “the fastest inference engines on the planet.” The characteristic Flash Answers He has just debuted in a preliminary version for all users, and users can deactivate it if they wish. First test. To demonstrate the speed of Le Chat’s responses we wanted to make a comparison with Chatgpt and Claude, two of the most reputed chatbots at the moment. First we wanted to ask “what is Xataka” to see what these engines responded. Claude’s response is the most extensive, but also full of errors. Le Chat answers, of course very fast and is more concise but also makes an error (Weblogs SL was acquired by Webedia years ago). Chatgpt is the most accurate in the description. Second test. But if what we want is to see how quickly these chatbots generate, it is best to explicitly ask you to write a lot. Here we ask the three to write to us 10 paragraphs about the situation of tariffs in the US. Le Chat proved to be the fastest when generating the text, and also his response was very well structured, it was current and included appointments. Claude’s response although relevant was more focused on previous measures of the government of Joe Biden and did not include appointments. Chatgpt, although it took longer, also offered a very correct and references. Third test. Finally we wanted to test the quality of the translation of Spanish to English to see if that affected speed. We pass a link to one of our Latest articles about Google And we ask the three chatbots to translate it. Here Claude apologized first indicating that he could not access the Internet but we could copy the text. Le Chat was the fastest again, although it was noted that in the translation that speed was somewhat lower. Both this model and Chatgpt made a fairly decent translation, although too faithful to the text. It is true that these models can always be asked to make a freer translation, but its quality in any case is remarkable. Le chat earns from afar in speed (and it’s nothing bad in precision). The Mistral model has demonstrated in these tests to be competitive in the precision and quality of the answers, something that is certainly promising for the aspirations of the French startup. The best of all is that it effectively proves to be much faster in the inference and generation of text (it does not apply in other sections such as the generation of images), something that without a doubt its rivals will strive to match in the future. Image: brains. Why is it so fast chat? The answer is simple: to generate those very quick mystral responses It has allied with the brain companywhich autocalifies as “the fastest inference provider in the world.” They are applying their chips and technology to the Mistral Large 2 123b model which is based on le chat, and thanks to that they achieve up to 1,100 tokens per second in text requests. Also search on the web. Le Chat’s responses are also backed by consultations to media or information agencies as AFP – with whom Mistral has a collaboration agreement – but also for the ability to Web on the web With speed to collect information with which to build your answers. In these answers, the sources from which the information is removed is cited (although always). And even generates images. In the new le chat, options arrive as an advanced document loading option to process them with OCR, a Canvas To use the chat in a conversational/collaborative way and even a code interpreter that allows you to execute code in a sandbox. But it is also possible to use it to generate images thanks to the Flux Ultra generative model of Black Forest Labs, one of the most fashionable lately. These types of options can be enjoyed in the free version, but if we want to use them with more daily consultations, we can pay the subscription of 14.99 euros per month of the Pro version of le chat (the students They only pay 4.99 euros per month). In Xataka | Amazon lost the AI ​​train, but wants to recover it. The new Alexa with ia will arrive this month to try

Meta emails reveal that he downloaded 81.7 TB of books with copyright via Bittorrent to train their AI models

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In the legal process Kadrey against goal Mark Zuckerberg’s company is accused of having used works protected by copyright to train their artificial intelligence models. A few weeks ago it was revealed that Zuckerberg had approved to use pirate booksbut now new and powerful evidence of this looting arrive. Revealed emails. He “Appendix a“The case includes several mail email messages from the finish Do that data collection in October 2022. “Download with torrents from a company’s laptop does not seem a good idea”. In April 2023 Nikolay Bashlykov, one of those responsible for carrying out this data collection, joking including emojis and indicated that the company would have to be careful with the IP from which they downloaded the data. Goal knew the risks. In September of that year Bashlykov already stopped using emoticons and warned that using torrents would imply acting as “seeds” so that others also download them, and “that might not be legally legally.” These debates are proof that Meta knew that this type of activity was illegal, according to the authors who have sued the company. Erasing the footprints. In a Internal message Meta Frank Zhang researcher indicated how the company avoided using its servers by downloading this data set to “avoid” “the risk that anyone can draw the seed” and who downloaded that data. 81.7 TB of data. As they point out In Ars TechnicaThe evidence shows that Meta downloaded at least 81.7 the terabytes of data from various libraries offered by those books protected by copyright. In a New document The legal process indicated that at least 35.7 TB had been downloaded from sites such as Z-Library or Libgen (which It ended up closing last summer). Goal wants to dismiss those charges. Goal has presented a motion to dismiss those accusations indicating that there was no evidence that any book was downloaded by finishing employees through Torrent or that they were later distributed by goal. In Xataka we have contacted the company, and we will update this news if we receive comments on the case. Loot on the Internet fire. These data affect the debatable practices that AI companies are using to train their models. We saw it With Googleand of course also with Openai, who used millions of texts to train Chatgpt, and Many of them had copyright. Perplexity was in the spotlight after discovering that He skipped the bullfighter Internet rules to avoid payment walls and feed your AI model. Internet robberies are being normalized. The amazing thing about all this is that the fact that all companies are skipping the norms and violating copyright seems to be normalizing the looting of the Internet. It almost does not give time to scandal and we give it almost as a policy of consummate facts to be able to follow ours. Is this really a “fair use”? All companies are shielded in the concept of “fair use” (“Fair Use”). This concept developed in Anglo -Saxon law allows the limited use of protected material without being necessary to ask for permission to do so. Copyright rapes have not stopped arriving in the world of generative AI, but they seem to be in the background while these giants thrive. In Xataka | 5,000 “tokens” of my blog are being used to train an AI. I have not given my permission

In 2026 the AI ​​will be as powerful as “10 million Nobel Awards” (and that raises a terrible dilemma)

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The CEO of Anthropic, Dario Amodei, has marked in red in 2026 in its calendar, as explained in a long interview with the Podcast China Talk. For then, The technological gap between the United States and China in artificial intelligence It could close, and that would lead to having to make a critical decision: to advance with prudence or accelerate without regard. Why it is important. The arrival of AI models equivalent to “10 million Nobel awards working tirelessly,” says Amodei, will propose an existential dilemma: if China reaches the US in capacity, no country can afford to stop the development to make it safer . “If things are matched, we will have to worry about what they build and at the same time because they dominate us with technology. That puts us in a terrible dilemma where there are no options,” says Amodei. Between the lines. True fear is not competition with China in itself, but it derives in an uncontrolled career that forces us to deploy potentially dangerous technology before being prepared to handle it safely. Some examples that Amodei points out: The development of biological weapons: Deepseek It has already demonstrated the ability to generate information about Bioarmas “that is not easily found in Google or in textbooks.” Although today the models are not “literally dangerous”, this could change “later this year or next.” The lack of restrictions: Amodei points out that The Deepseek model “He had the worst performance of any model that we have tested, without absolutely any blockage” against the generation of dangerous information. The argument against regulation: “If we stop, China will simply ahead us.” This mentality, warns amodei, makes it impossible to implement effective safety regulations. Military capacity: Advanced models will have implications “to control dwarfs or analyze intelligence information,” says the CEO of Anthropic as an example of technologies that could be deployed prematurely by competitive pressure. By the way, Google has just eliminated mention not to develop weapons with AI. In detail. Amodei proposes a strategy with two legs: Maintain a two -year advantage over China through export controls. Use part of that temporary margin to implement security safeguards. “My concern is that if the United States and China are matched in this technology, elbow with an elbow at each stage, there will be nothing that prevents both sides from continuing the technology forward,” explains the CEO of Anthropic. Deepen. The technological career raises a paradoxical scenario: American success in containing China could be the only guarantee to develop a safer AI. But that same success could accelerate an escalation that makes more dangerous technology. The main loser? International cooperation. Although Amodei does not rule out agreements with China, he acknowledges that “there has not been much interest on China” in the security initiatives proposed by the USA. Only a “really convincing danger for human civilization” could change this dynamic. The big question. Is this dilemma inevitable? Amodei suggests that no, but warns that avoiding it would require irrefutable evidence that AI is an existential risk. For now, he says, “the arguments are suggestive enough to worry and take it seriously, but not enough for two competitive superpowers to say ‘okay, let’s stop’”. Indeed, it seems unlikely. In Xataka | I have tried Deepseek on the web and in my Mac. Chatgpt, Claude and Gemini have a problem Outstanding image | Techcrunch, Wikipedia

7,000 earthquakes in recent days, 11,000 evacuated and the possibility that the worst is to come

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After evacuating more than 11,000 people, half of the island’s population, Greece has had to declare the state of emergency on the island of Santorini. For two weeks, the island has suffered thousands of earthquakes. Only on January 4, there were 1,300 with magnitudes greater than 1. Only yesterday, smoke more than 200 and 28 of magnitude equal to or greater than 4. What is happening exactly in Santorini? A swarm. That is, a succession of thousands of earthquakes in a very concrete space and in a short space of time. As explained the geologist Nahúm Méndezis the direct consequence of the complex geology in the area. It is plaque tectonics, live and live. Nevertheless, As you recognize The volcanologist of the National Geographic Institute, Stavros Meletlidis, what is happening is not normal: “It is the first time that such an activity is recorded.” Are the prelude to something greater? It can be, but it doesn’t have to. In general terms, what we are seeing in Santorini is the accumulated product of the tensions that arise from the collision of the European plaque with the African. In the Santorini area, those pressures accumulate until the rocks “can no longer and break”, releasing large amounts of energy. As we have a good record of the seismic history of the island, we know that it is possible that a great earthquake is being prepared. Not so much of the last one: the Amorgos in 1956 reached 7.7caused more than 50 dead and waves up to 30 meters high. A great earthquake is not the only possibility. In This interferogram created from the Sentinel 1 datayou can see “a slight deformation in the northwest sector of the island after the seismic swarm that is happening on the island.” That, As experts point outit could be indicative of a deformation “due to the rise and location of the magma.” However, that does not mean that we are going to see an eruption. Volcanoes are extremely complex systems and “They can return to a state of ‘quiescence’ without erupting“We have seen it many times. And that is the big problem. When we talk about geology, our prelective capacity is very limited. After the eruption of La Palma, there were many information that indicated that seismic swarms ‘They warned’ for years What was going to happen. Unfortunately, the reality is that this can only be concluded to Toro Last. What can we do? As Méndez sayswe can only prepare for the different options that are forth from the table. One of the most exasperating things in geologies is that we still know too little and it is precisely in ignorance and uncertainty where monsters grow. Image | Tânia Mousinho | INSN In Xataka |

The government wants to end unwanted commercial calls. The question is whether they will stop calling me “of Indeed”

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One of the measures announced by the Government in October 2024 had to do with The end of the annoying commercial calls and telephone scams. The Ministry of Digital and Public Transformation presented A comprehensive plan To combat fraud from SMS and calls, a package that will be approved before the end of February. The norm will strictly prohibit commercial calls with numbers outside the prefixes 800 and 900. The problem? The Spaniards are dealing with another type of spam. One that has to do with the “human resources” departments. A plan against commercial calls. The Ministry for Digital Transformation and Public Function announced, yesterday, Thursday, that the Ministerial Order to combat cybetheafas through false commercial calls will be approved before the end of February. “That is, you will not be able to receive a commercial call from a mobile, that is happening today. We receive from a mobile, we think he is an acquaintance, a relative, we do not know who he is, and then it turns out that it is a commercial call. This will be prohibited by the ministerial order. ” Óscar López, Minister for Digital Transformation and Public Function. Those companies that use numbers outside the prefixes 800 and 900 will face sanctions (still to be determined), and it will be possible to denounce before the Telecommunications User Attention Office to any number that breaches the new standard. Beyond Spanish companies. Similarly, work to try Block calls International that are identified as nationals, as well as those from numbers not assigned to any service, operator or customer. A database will also be launched in order to block text messages with alphanumeric characters (such as, when they send you fake Movistar SMS, mails, DHL, etc.). All messages that do not come from entities registered in the database will be blocked. This last measure is key, and on its success it will depend that the Spaniards are calmer in We call him of Indeed Human Resources. The problem of commercial calls is largely solved, pointing to The Robinson list. It is not infallible, but Organic Law 3/2018 on the protection of personal data prohibits companies from calling you for commercial purposes. Case apart, of course, they decide to skip the law. What, at least in recent months, has not had a solution, is the issue of the so -called “human resources”. It is more than likely that in recent months you have received a call in which a robot invites you to add its number to WhatsApp to know “work conditions.” The problem is so widespread that the own Incibe He published a statement warning about this fraud, recommended to users to block contact and report it as spam. Something that makes us frown at these calls is that they are not made with suspicious numbers, not even Google’s antispam filter can with them. The reason? They use completely real national numbers. How is it possible? ID SPOOFING. This technique is to modify or falsify the call identifier to match a “legitimate” number. It can be done from anywhere in the world so, although I call you a 6xx, the robot that is trying to cheat you does not have to be located in Spain. In fact, the scam is so sophisticated that scammers can adapt their calls so that, even being in another country, you receive a call from a national number (the country you are traveling to) talking in Spanish to offer you great employment conditions. Many of these scammers use voice services about IP (VOIP) to make these calls. This allows them to show a Caller ID (call identifier) ​​from any country, regardless of where they are. And regarding why they have your number, you have nothing more to write on Google “Mass filtration Xataka data”. Have dozens of articles published last year. The question is if it will be enough. The government has not yet detailed how it plans to fight against this type of calls. In the event that they are carried out from other countries, according to their promise, they should be able to intercept them. But if the ID Spoofing is done locally, it will not be easy to detect when a 6xx “real” and a 6xx that is made by another. In Xataka | Be careful with the false rental scam: how it works and why you never have to give the DNI happily Image | Unspash (Lindsey Lamont)

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