data

China has won the data war without stealing any. We have given them to them

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Despite the bodies that are usually tried to attribute in that sense, at least much more disproportionately than on the other side of the Pacific, China has not needed to steal secrets or technological secrets of the West. We have given them to them in a silver tray. Why is it important. There are several cases that do not mean much but united form a puzzle. For example, Apple and Its accumulated investment of 55,000 million dollars in China to “form” in advanced manufacturing. Or bytedance accumulating billions of hours of video labeling – and western– To train the most sophisticated recommendation algorithm we know. And now Apple can repeat the pattern with AI. The context. The dominant narrative points to Chinese industrial espionage as a cause of its technological boom. It is not so simple: Western companies have been the greatest facilitators of technological transfer in modern history, and did it voluntarily. The promise in return: margins. In the short term. The panoramic. Apple was one of the great responsible for China’s change, which went from manufacturer Low Cost A superpower of manufacturing in just two decades. Bytedance has converted western behavior data – hours and hours deciding what we like and what is not based on Scroll– In algorithmic supremacy for a five years. Tesla accelerated the Chinese ecosystem of electric vehicles and now he has turned against him. DJI dominated civil drones by processing Western Maps. The pattern is repeated: West delivers knowledge, China absorbs it and begins to overcome it. Terry Gou, founder of Foxconn, understood that it was better to sacrifice immediate margins in exchange for tie up a company like Apple to get free training by US engineers. Between the lines. China applied what we could call “reverse Trojan horse.” Instead of infiltrating, it attracted Western companies to come voluntarily. Apple’s is a paradigmatic case: for years he thought it was she who was conquering China, but the reality seen with perspective is that It has been China who has conquered Apple. Examples: The progressive assignments of sovereignty. Apple has accepted content restrictions or Mandatory storage on local serverssomething that led many hands to many heads at the time just for the EU to end up demanding something very similar. Logistics dependence without turning. There is no plan B, leaving China would be a slow, expensive movement that would require many years and many dollars. The massive transfer of knowledge. The aforementioned formations to millions of Chinese workers, the investments of more than 7,000 million in own equipment for foreign factories. China has absorbed that know-how. Yes, but. Apple generated thanks to this a company of 3 billion dollars. In 2000 it was around 4,000 million. Thousands of times less. That growth could not have happened investing elsewhere. Tesla would have taken much longer to master the electric car without Chinese industrial capacity. The problem is the aforementioned: there is no medium -term plan can not have it. Without China, Apple cannot manage its complex logistics, its millions of daily components. Nor access engineers to dominate them. And now… Apple is working with Alibaba to take Apple Intelligence to China for legal imperative. Is being more complicated than it seemed. And bytedance I would prefer to close Tiktok in the United States rather than sell its valuable algorithm. The employer is also repeated here: Western companies seek to access the Chinese market delivering their most valuable technology. The threat. China is increasingly dominating the massive adoption of AI with models mainly open source. Tencent has already integrated Depseek in Wechat For its more than one billion users. In China, AI is not a separate application, but is integrated into what is already widely used. Possibly the next generation of intelligent agents will repeat the pattern of Apple and Foxconn. But in the field of software. China is not winning the data career spying on the West. He is winning for having opened the door for the West to teach him everything he needed to know in exchange for greater quarterly benefits. Today the student has become a teacher and is the one who puts the standards. In Xataka | For Apple, the price of its iPhone was sacred. Until he started falling into a vacuum in China Outstanding image | Collabstr in Unspash

Police investigate whether a filtration has exhibited personal data from Pedro Sánchez and several ministers, according to Cadena Ser

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The National Police has opened an investigation for a possible filtration of personal data that, According to Cadena Sercould affect the president of the Government, Pedro Sánchezand several members of the Executive. The leaked document, about 500 pages, would contain information such as ID numbers, homes and birth dates. What is known until now? In the case of Sánchez, the published registration includes its supposed identification number next to an address and a date of birth. The broadcaster also points to other possible affected: the president of the Junta de Andalucía, Juan Manuel Moreno Bonilla; the president of Extremadura, María Guardiola; the former mayor of Barcelona, ​​Ada Colau; and around 3,000 members of Podemos. Diffusion in a messaging app. Part of that information would have been disseminated through a telegram channel. In the case of data related to Podemos, it would be access data to its private website. This filtration adds to others that They are already being examined by the National Courtand in which names such as Félix Bolaños or Yolanda Díaz appear. Ongoing research. The aforementioned means indicates that given the nature of the committed material, the central court number 1 of the National Court investigates the case as a possible crime of terrorism. For now, it is not clear if the data were obtained through a cyber attack or if they come from open sources that would have been collected and crossed with additional information, and then marketed on the Dark Web. No official statements at the moment. When publishing this article, there have been no official public statements by those involved. All information comes from the coverage published by the station. From Xataka we have contacted official sources to request information about the facts. We will update this article in case of receiving an answer. Images | Finnishgovernment In Xataka | We have clicks on “Cancel Subscription” in emails without thinking. It is just what many cybercriminals expect

Until we saw the data from other countries

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The most students Second of Baccalaureate in Spain have already completed their University access tests (PAU) and have the challenge of their higher studies ahead. Comparatively, Spain has advanced a lot in terms of the number of people With university career or higher studies. However, it is enough to take a look at the countries around us to confirm that there is still a lot of work to do in this area. The “most educated” countries. A study prepared by CBRE Research With the latest available data on higher education in OECD countries and main economic powers, the list of countries has just established with the highest percentage of adults with higher education titles. Those countries with the highest proportion of qualified workforce They tend to offer better productivity and greater capacity for innovation and economic growth thanks to having a better prepared work mass. The portal Visualcapitalist He has collected all this data in a single more enlightening graph so that, in a single glance, we can get to the idea of ​​how the level of higher education is located in Spain with respect to other countries. Spain, a lot of work to do. According to Fedea dataSpain has made Very good job As for education during the last decades, going from illiteracy rates of 15% of the active population over 25 years of age registered in 1960 to only 1.9% registered in 2022. However, according to data from the study of CBRE Research Only 28.8% of the active population between 25 and 64 years has a university degree or accredited higher studies. This, in absolute figures, assumes that 9.2 million Spaniards have completed His university studies. Ireland, the example to follow. The absolute leader in population with university training is Ireland, which with 52.4% is placed as the country as more graduates in their labor market. The Eurostat figures About Ireland confirm the theory that a more formed population improves productivity since it is like the country with the highest productivity of the OECD duplicating the European mean However, if we look at the absolute population values, we find that, by population, only 1.8 million Irish has a university training. Switzerland (with 46%), Singapore (45%), Belgium (44.1%) and the United Kingdom (43.6%) compete with the top 5 of countries with the highest percentage of university graduates with respect to the whole of its population. Our environment is not better. If we look at our northern neighbors, France is not much better than Spain in terms of education with 28.1% of its population with higher studies, while Portugal significantly exceeds the percentage of Spain with 29.4% of its active population with university education. Demographic trap. However, despite using percentage values ​​of its population, it is worth highlighting the population differences of each country when taking into account the percentage of population with a university degree and the economic effort that this supposes for the states. For example, Singapore had a total population of 5.91 million inhabitants in 2023, of which 1.9 million had a higher education title, hence their percentage is 45%. On the other hand, cases such as India, which occupies the penultimate position in terms of training, in 2023 had a population of 1,438 million inhabitants, of which 139.4 million had completed a university career. The relative percentage with respect to its total population is 14.2%, but it is an educational system that has formed 139.4 million people. Brain drain. On the other hand, one of the biggest challenges for these countries is to get their higher studies, these future professionals return Investment that the country has done in its education Avoiding talent escape to provide added value to the economy. The problem is that the lack of job stability and opportunities in countries such as Spain or Portugal is making many graduates have MORE Remedy to migrate To countries such as Australia, Ireland, Germany or the US to develop their professional career. In Xataka | The 100 best universities in the world excluding those of the US, exposed this graphic revealing Image | Visualcapitalist

Reddit has become the best human data source. AI is trying to prey them

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Everyone wants Reddit data. And they want them why they are data humans. That is the Great value of a platform which has become the crown jewel of AI companies. They want to use that data To train their AI modelsand Reddit is tired of trying without asking for permission … and without paying. Reddit demands Anthropic. The social network, fed up with this type of behaviorhas registered a lawsuit against Anthropic, the creators of Claude, so consider a contract violation and for participating in “illicit and unfair commercial acts” when using the platform and data of the social media company without authorization. Or what is the same: for stealing the data for your AI. Blunt criticism. In The demand Reddit’s legal managers begin strong: “Anthropic is an artificial intelligence company of late flourishing that proclaims the white gentleman of the artificial intelligence industry. It’s anything but that.” According to Reddit, Anthropic shows a public face in which he presumes his respect for the law and doing things legitimately, and another private “that ignores any rule that interferes with his attempts to fill his pockets even more.” Human data treasure. Reddit has become In a valuable source of human information. If someone looks for answers, experiences and opinions in raw, this is the platform that has ended up becoming an absolute reference. In Reddit they know it. His legal manager, Ben Lee, explained in The Verge the following: “Reddit’s humanity has a unique value in a world flattened by AI. Now more than ever, people seek authentic conversations between humans. Reddit houses almost 20 years of rich and human debates about practically all imaginable topics. These conversations do not occur anywhere else and are fundamental to train linguistic models such as Claude.” Reddit began to protect himself very soon. Knowing that his “human data” were that great treasure with which to make box, Reddit began to make movements for take advantage of that data very soon. A few months after the launch of ChatgPT, it appeared that He made his APIas shortly before I had done Elon Musk with X/Twitter. He controversial movement It was clearly aimed at protecting the platform from those birds of prey in which IA companies had become. Then the demands would begin. If you want my data, pay. Reddit’s policy has been clear from the beginning, and there have been companies that have assumed the message. Google was one of the first to reach an agreement with Reddit and paid 60 million dollars to the platform To train your AI models with that data. OpenAi ended up doing the samealthough the amount that was paid to Reddit has never been revealed. Anthropic Discrepa. An Email from Anthropic to CNBC reveals that “we disagree with Reddit’s complaints and we will defend ourselves vigorously.” Interestingly, Anthropic herself has blocked the access of her Claude model to Windsurf, the newly acquired programming startup by Openai. One of its co -founders He affirmed that “it would be rare for us to sell (the API of) Claude a OpenAi.” It is a reasonable argument – and debatable – but it does not seem to be equally logic in the case of Reddit. But it already has other pending demands. That statement contrasts with two other demands that Anthropic has received in the last two years. Last August, three authors sued it in a Federal Court in California for having “built a billionaire business stealing hundreds of thousands of copyright“Before, in October 2023, Universal Music also sued her in Tennessee for a” systematic and generalized violation of the copyright of the lyrics of his songs. “The record giant He lost that battleHowever, which meant a disturbing victory for the technological ones. Internet looting continues. It is another case of that Absolute looting that AI companies are carrying out on the Internet. None of them savealthough of course there are flagrant cases such as perplexity or the recent scandal of Goal downloading books from books with copyright to train their models. If there are data that can be used to improve the quality of these models, companies try to get them, and it is just what happens with Reddit. The IAS do not want copyright. This whole process is part of a worrying phenomenon: there is still not punishment for all these companies despite being violating copyright. Openai already asked for a white letter to operate In that field, but other companies They joined that unusual proposal to eradicate copyright lawsat least for their AI models. The argument of “fair use” remains its great shield in front of these demands, but the reality is that the months go by, we insist, there is still no consequences for this flagrant robbery of the internet content. Image | Anthropic | Reddit edited with chatgpt In Xataka | After 19 years, Reddit is finally a profitable company: he has achieved it with a peculiar strategy

IA consumes so much energy that the United States is building data centers directly in natural gas wells

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What makes a startup dedicated to building data centers get 11.6 billion dollars in financing. In the case of Crusoe Energy Systems, it all started with an idea as disturbing as profitable: build data centers with natural gas wells. Crusoe Energy’s idea Journalist Emily Chang de Bloomberg visited a few weeks ago The city of Abilene, in Texas, where Crusoe is building the monstrous Stargate data centers, The 500.00 billion project OpenAi, SoftBank and Oracle to develop general artificial intelligence. Stargate arrived at Crusoe Energy thanks to the demonstrated efficiency of the startup in the construction of specialized data centers in AI. Chase Lochmiller, the CEO of Crusoe, explained to Chang how the company was born: “When an oil company opens an oil well, one of the associated by -products is natural gas. And when they do not have access to an pipeline, all this associated gas simply burns in situ. So we had an idea: instead of trying to take that gas to a market where you can sell, we could create a market for gas. We could build mobile and modular data centers, take them direct data”. Crusoe was born in the best possible place to materialize this idea: the country of fracking. But maybe not at the best time to do it. Initially, they chose to build GPUS farms to undermine Bitcoin. When the cryptocurrency market collapsed, they ended up pivoting artificial intelligence. Like crypto mining, AI data centers are not based on CPUS but depend on the parallel processing capacity of thousands of GPUS, mainly Nvidia specialized chips. These new data centers consume much more energy than traditional data centers, so Crusoe started from a key advantage: their direct access to fossil fuels that obtained at the price of bargain. A booming business Oil giants are not oblivious to this trend. Exxonmobil is developing Off-Grid gas plants specifically for data centers with carbon capture technology to reduce emissions. Chevron, meanwhile, It has been associated With Engine No. 1 and Ge Vernova to mount similar facilities. The first will open in 2026, also in Texas. The figures are eloquent: the demand for natural gas for data centers will be increased by 47 GW from here to 2030. Currently, natural gas already feeds about 40% of the loading of data centers in the United States and is expected to continue being the main source of supply up to at least 2030. It is not the preferred energy source, but There are not enough renewable to feed artificial intelligence and Not all data centers They can be connected to a nuclear power plant, another common occurrence in the United States. As for Crusoe, thanks to the initial push of natural gas that were going to burn oil companies they developed their own technologies, such as a closed cooling system that does not need to renew The water evaporating the serversor own gas turbines, such as 360 MWs that are installing in the Stargate project as a backup energy source. Stargate data centers will feed mainly solar panels and wind turbines, which abound in Abilene for the confluence of wind and sunny hours. It is one of the reasons why data centers are being built in this Texas area, in addition to the tax exemptions that local governments are willing to yield in exchange for employment generation. It remains to be seen how many employees have everything built. Image | W.Carter (CCO) In Xataka | Microsoft will reopen a nuclear power plant that has been closed since 2019. It needs it for its artificial intelligence

We have been concerned about what companies with our data do. Brazil will allow money with them to win

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Brazil has just crossed a line that promises to change forever the relationship between its citizens and their personal digital information: digital wallets to moneture their data. Why is it important. The South American country has announced The first national program in the world which allows its citizens to own, manage and monetize their fingerprint. Brazil has decided to convert this information into economic assets for those who generate them instead of simply seeing how their citizens give data to technological ones. The initiative, administered by Dataprev – state technology company – in alliance with the Californian Drumwave, will create personal data savings accounts. Users may deposit the information generated by their daily activities and receive economic offers from companies interested in buying it. In detail. The system works like cookies of third partiesbut with a turn: instead of simply accept or reject, users can choose to make money. When they request a loan, for example, the contract data will be stored in their digital portfolio, and companies will be able to bid for them. “People don’t get anything from the data they share,” explains Brittany Kaiser, co -founder of Own Your Data Foundation and Drumwave advisor, according to the official statement. “Brazil has decided that its citizens must have property rights over their data.” The pilot starts with a small group of Brazilians who will use loan portfolios. After accepting an offer from a company, the payment is deposited in the portfolio and can be transferred immediately to a bank account. The context. This movement places Brazil ahead of the United States, where a similar initiative of the governor of California, Gavin Newsom, It was raised in 2019 But he never took off. If it is completely implemented, it will be the first public-private association that allows citizens-not to companies-to obtain a personal data market share. Yes, but. Some specialists in Brazilian data protection have expressed serious doubts. In a country where three out of ten people are functional illiteratesaccording to official data, there is a risk that vulnerable populations sell their data without understanding the consequences. “We will be asking for half of the country that you don’t know how Rest of World. “People in vulnerable situations will say yes, and that could be used against them.” The background. The Brazilian Congress works on a bill that would classify data as personal property, exceeding the current legislation that considers them an inalienable right. The new regulations would give people complete rights about their personal information, especially that generated “through the use and access of online platforms, applications, Marketplaceswebsites and connected devices “. And now what. If this is consolidated, Brazil will sit a precedent that other countries can follow. The proposal promises “a correction in the historical imbalance of the digital economy,” according to Rodrigo Assumpção, president of Datapre. The idea: transform personal data into assets for those who provide them. For companies such as Google, Meta or Amazon, accustomed to obtaining valuable data “simply” offering their platforms also for free, this proposal is an earthquake. For users it could be the first step towards a world where each clickeach search and each digital movement has a tangible market value. Outstanding image | Samuel Costa Melo and Campaign Creators in Unspash In Xataka | The AEPD already knows where the data of millions of freelancers who were on sale on the Internet have come from: the Chamber of Commerce

The data suggests that Germany works less hours than Spain. The reality of your labor market tells another story

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The reduction of working hours and how to face it is an issue on the debate table in a good part of the world. In Spain, the reduction of working hours is in Parliamentary Processing Phase and it is expected that at the end of the year a working day of 37.5 hours per week will be carried out. Countries like Germany, United Kingdom or Portugal have performed pilot tests of the four -day work week to evaluate The effect of that reduction. However, why is the reduction of working on if, according to 2023 data of Eurostat, in Spain the Real workday Average is already 36.4 hours a week, while in Germany is 34 hours a week? The key after that figure is in the quality of the employment of each country and reveals that, even if it may seem, a worker in Germany does not work less hours than in Spain. The middle days. In response to Eurostat data, indeed, the days in Germany seem to be shorter than in Spain, with 36.4 hours a week in front of the 34 hours of Germany. However, if we segment that data by type of day, the expected thing would be for working hours to maintain the same proportion. Nothing is further from reality. By differentiating the Eurostat data Between full time and part -time day we find that the average number of usual weekly hours in the main employment in full -time is 40.2 hours a week in both Spain and Germany. Something similar happens when differentiating the part -time Where Spain leaves an average of 20.3 hours a week, while on average part -time workers in Germany do 21.8 hours. So, if the days of Spain and Germany are not so different, why is there such a remarkable difference in the average? The key is in the quality of the labor market. Precariousness. According to him Press report Prepared by an expert council appointed by the Ministry of Labor and Social Economy in 2022, 42% of workers in Spain suffer some kind of precariousness (Submployment, temporary contracts, low wages, etc.). Despite that, after the 2022 labor reform, it changed The contract model expanding the use of the contract full -time indefinite. According to the 2023 INE data13.3% of the workforce in Spain worked part -time. That is, the data indicate That in that year, 15,454,000 employees worked full -time, while 2,580,900 did it part -time in Spain. Instead, the German labor market is much more fragmented in that aspect. In 2023, 31% of this country’s workers worked part -time, According to data of the Federal Statistics Office. This difference in full -time employment and part -time contracts makes a big difference in the calculation of the final average of weekly hours worked, since both variables are taken into account. Active retirement. To this is added the enormous success in Germany of the model of “Minijobs“, in which workers complement studies or retirement with part -time jobs for a few hours a week. official dataaround 13% of retirees between 65 and 74 years in Germany, they continue working, either out of economic necessity or by personal choice. On the other hand, in Spain that percentage drops to 4.08% of the retirees who choose to continue working with some or none modification in your workday. Average working life in Europe. Source: Eurostat That makes, according to Eurostat dataGermany’s working life is 39.6 years, while in Spain it is 36.3 years on average. That is, a good part of German workers work less hours a week in part -time jobs, but they do it for more years than Spanish workers. In Xataka | Some researchers have analyzed the working day in Spain: the same thing that 40 years ago is worked, but in worse jobs Image | Eurostat

I had set up the Amazon of the stolen data

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José Luis Huertas, aka AlcasecIt wasn’t just a hacker. At 21 he had built “UDYAT – The Eye of Horus“, a commercial platform that sold stolen data with sophistication not so far from that of Amazon or Netflix. Why is it important. The Alcasec detention He has brought to light that Spain had a “parallel data market where anyone could buy segmented personal information as if it were a subscription service to use. His business model was indistinguishable from a legitimate startup. The context. Although media is presented as a youth hacker from Your detention in 2023the reality is more complex. Alcasec had created a complete business infrastructure: Cloud storage. Customer service bot on social networks. Data segmentation by profiles. And even a cryptocurrency billing system. The facts. The platform offered “custom consultation services” through an encrypted bot. Customers could buy individualized data packages according to specific individuals or legal entities. Like any modern electronic commerce, but selling your ID, your phone number and your bank data. His “catalog” included: Complete telephone listings. Operator customers. Madrid transport fertilizers. Pet records. Databases of educational centers. Civil Registry Information. In figures. Alcasec invoiced 1,866,175 euros through its platform. In their devices, 32,943 bitcoins were found. Between December 2021 and February 2022 he received cryptocurrency notifications worth 365,000 euros. Between the lines. The participation of former State Secretary Francisco Martínez was not accidental. The network He used his figure to appear to be a legitimate security consultancy, thus bleaching its criminal operation through corporate structures. Police Define the organization as “a structural threat with the capacity for economic and strategic destabilization.” They do not exaggerate. They had made public institutions violated without realizing it, turning their databases into an online supermarket. Deepen. The most worrying is the scalability of the model. Alcasec didn’t need to hack every time I wanted money. He had automated the process: the systems continually stole data, the platform automatically classified them and the BO served 24/7 customers. A business that worked alone. The difference between Alcasec and a normal technological company is that one sells legal services and the other illegal data. Specifically, your private life. Outstanding image | National Police In Xataka | After the mysterious Hackers Careto group was an unexpected agent: the Government of Spain, according to Techcrunch

On May 27, Goal begins to use your personal data to train its AI: So you can avoid it

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The moment has arrived, from tomorrow, May 27, 2025 Goal will start using your personal data to train your AI. You will use almost everything you have on Facebook and Instagram, and we are going to tell you how to prevent it from doing it before it’s too late. This is something that they already knew they would do, but maybe you have been waiting until the end before taking measures to avoid it. Therefore, we will begin by telling you what personal data will use exactly, and then we will tell you the procedure to prevent them from doing so. What data will use a goal to train its AI Goal will use what they consider personal data of users of legitimate interest, an elegant way to say that almost everything is going to use. This will affect those who use their main applications, which are WhatsApp, Facebook and Instagram. It will be your data in these apps that you use to improve your artificial intelligence system. In essence, You will use everything except private messages. All your photos, your comments, your publications, your stories, your interactions with other users, photo feet. Everything except what you write in Messenger, that at least they have the decency to consider it private. To train a conversational artificial intelligence system such as a goal AI, it is necessary to know how humans, expressions, and also use the photos to identify places and reactions. That’s why, practically everything is considered a legitimate interestall that you publish them. The other exception beyond private messages is that Data from children under 18 will not be used. Come on, if you are a minor or have a younger son or daughter, they are safe, but everything else that you have published no. Goal had already tried this movement without success in Europe, but now it will do it again. It will also do it in a cheat, because The absence of opposition constitutes agreeing. This means that if you don’t say you don’t want to share your data, they will understand that it is because you don’t care and want to do it. A formula to take advantage of the most lazy or less informed users. How to avoid using your data Let’s tell you three fast methods to prevent your data from using. We will tell you one for Instagram, one for Facebook, and a third independent opportunity. You can use the method you want. You just have a few hours to do itbecause if you have not refused, starting tomorrow will assume that you have said yes. If you oppose the dateThere will be no retroactive character. All your data will have already been used, and they will simply stop using the new ones. How to oppose Instagram: As we already told you, To oppose in Instagram You have to click on the options button with the three -striped icon that you have up to the right. Enter Configuration and activitygo down to the section More information and helpand click on Information. Here clicks on Privacy Policyand within the text that appears you press in Oppose you. This will lead you to a questionnaire to indicate your data and the reasons why you do not want them to do it, and you must send it. How to oppose Facebook: You have to enter your account and enter This link. Inside there is a picture where you can click on Right to oppose or you can simply enter directly To this link. Once there, you can fill out the questionnaire indicating why you don’t want your data to be used and send it. You can also go to Configuration and privacythen a Privacy Center already GENERATIVE IN METAwhere below you will have a button of Right to oppose. Use the Citizen8 platform: Another method of the Citizen8 group, which has created this website. In it, you have two links to which An email and its text are generated To ask Facebook or Instagram not to collect your data. You just have to make sure to send it with the email account with which you have the record with them and voila. In Xataka Basics | Artificial Intelligence Guide: Main characteristics of the main models of AI, points for and against, and comparative

“We don’t put the AI ​​to put on, we want to make TV easier.” We talked with Lieve Lonoye, Head of Big Data of Philips

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Lieveye is an institution in Philips. The current Head of Big Data of Philips was part of the team that developed an emblem technology of the Dutch brand two decades ago. Since then, televisions have changed barbarity, moving from silly boxes to Smart TV to today, where an a priori appliance as passive as The TV has become a magnificent data source. And in AI times a huge amount of data is needed. Leaving aside the algorithmic content recommendations (which have their particular casuistry depending on the manufacturer and SO), we have seen how artificial intelligence reached televisions for such original tasks How to generate imagesbut also for get the best image quality without having to despair with the adjustments. It is just the beginning: TV is a reef To obtain data that improve the user experience and that is, in a nutshell, the mission of Lieve Lonoye and his team in Philips. Note: Lainye clarifies two types of uses on the television completely different and with work areas that although they collaborate globally, are independent. On the one hand is the one integrated into the SO and its recommendations (Android TV and Titan Os in Philips) and another focused on the technical part, which falls on your Big Data team. The latter is what we will focus. What interests is how TV is used Philips head of Big Data summarizes the objective of collection of data on televisions clearly: “To do things.” And although it seems vague and generic, we will see later that its mission is not so much to suggest but act so that The experience of use is always the best possible. Regarding what information they collect, Lainye explains that “we are not interested in what people are seeing, but in How the TV is being used In general, for example, what resolution or frame rate are using “, as well as other information such as what apps they have been in execution or what codec. If we take into account all the parameters analyzed and that all this is produced on each television, the result is a huge amount of information related to the habits of use, the million dollar question is: Where are these data to stop? Xataka Philips+ 903 Analysis To begin Data analysis is optionL: “The form in the big data is implemented allows the user to accept or not share their data, which seems very important to us.” Clarified this point and assuming the acceptance of the user, Lainye explains that everything is done at home, which has its implications in terms of safety and performance: “We do not upload things to the cloud to execute them there, we have chosen to execute the AI ​​at home, which ensures privacy. But it is also a challenge in that you have to use the available resources of the TV, so you have to make sure that while it is running you can not affect the viewing behavior. It has to make its effect but without consuming too much. It is the great challenge, but a conscious choice to do it.” In addition, this monitoring has a direct application for them as manufacturers, since it serves them “to make better televisions Testing them in the same way that are used in homes“, but also for those who use brand’s TV at home. How helps the user in their experience The most responsible for the Big Data of Philips makes it clear that this technical data is where her team allocates more time and efforts. This information may not say anything at first sight, but it is providential to detect failures: “In spite of all the testing on televisions, sometimes a problem appears and that is where the data can help to detect. At that time the user calls the support and we can see what has been failing, which helps on the one hand to prevent problems, to confirm them and even verify that the solutions work.” How do they do it? Lenoye explains that when people call Call Centerthe agent who receives the call has access to certain parts of our data for the Troubleshooting. After the relevant assistance, the data speak for themselves to confirm that the appropriate solution has been found. This would be a specific case of application before a certain failure of a television of a specific person, but in global it also helps them to know What problems is more people suffering and thus “put engineers to work on it.” After the arrival of Chatgpt And the artificial intelligence boom in the form of models, multimodality and its integration into different devices, the sensation is that The AI ​​will be even in the soupsometimes with more reason of being and being than others. Saving the distances, servant reminds when everyone gave him to baptize his devices as ‘smart’ when in reality all they did was put Bluetooth. If the question is AI on TV, you are right to be, Lonoye’s response is a resounding yes. “We always try to contribute innovation that makes sense and that is what we think with the implementation of artificial intelligence in TV because it helps you enjoy TV properly.” “We do not put the AI ​​to put, we want to make TV easier, we want to relieve viewers of responsibilities. So we have ia executed on TV that, for example, is analyzing the image to establish the adjustments and for customer service.” Thus, he concludes that “the Big Data section does not work for recommendations, we are interested in how people use TV and when something goes wrong on TV, how it happens or how it could happen. We collect information to ensure that everything works well. “ In Xataka | Better televisions in quality Price: which to buy and seven recommended 4K 4K 4K Cover | Philips

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