companies

The AI ​​already decides who says goodbye to who ascends in many companies

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We are seeing the first indications of how AI is going to Transform the future of employmentalthough that does not imply that I will take it out. Newly graduated to which the possibilities of learningprogrammers converted into operators of a assembly chain of Software generated by AI either Chatbots interviewing you To hire you in your next job. In this new transformative role, AI is also having A leading role In employment, although not as you think. According to A survey carried out by the Employment Services platform summarizes Builder, managers are asking the AI ​​who should say goodbye. The new glass ball. A survey conducted at 1,342 Business Managers in the US has revealed that 60% of them trust AI to make human resources decisions in their companies. 78% of respondents ensure that IA decides which employees receive salary increases in their company, 77% indicate that AI chooses those who are rising, and 66% consult who should say goodbye. Taking into account the AI ​​skills In business managementmaybe it’s adventurous to leave In the hands of generic models Talent management, but 53% of respondents ensure that he asks Chatgpt what employees say goodbye to who ascend. 29% claimed Use co -pilot and 16% left the fate of its employees in the hands of Gemini. Without training or training. As in other areas, two thirds of managers who use AI for a task as delicate as equipment managementhas not received any training For the use of AI. Only 32% say they have received the necessary training on the ethical use of AI in personnel management. To complicate things a little more, around 20% of managers ensure that it lets the AI ​​have the Last word in decisions about who says goodbye or who ascends without mediating human intervention. However, the vast majority of them are willing to intervene if you do not agree with the decision made by AI. Confirmation bias. According to Stacie Haller, Main Professional Advisor of Sumume Builder, it is risky to leave the weight of important decisions in the hands of AI without adequate training. “While AI can support data -based information, it lacks context, empathy and criteria,” the authors of the survey indicate in their report. Such and as he published he New York Magazinethe main problem of the general models as chatgpt, is that They are flatterers by nature. That is, they seek to please the user at all costs, although this implies altering the results. That implies that, for a lot of neutrality and objectivity that managers want to obtain in their decisions by saying goodbye to employees, AI will take into account their personal preferences, reinforcing their confirmation bias, although the choice is not the best for the company. Tantling the land for AI. As they have revealed the survey data, 46% of the managers who use the management of their teams have been commissioned to evaluate whether IA could replace a position that an employee was carrying out. 57% considered that there was the possibility of applying AI to automate those tasks, and 43% carried out That replacement. However, although some profiles may have succumb to the first automation traces, there are still many other managers that see AI as a very useful tool as support in equipment management. 97% of respondents claim performance evaluation of your team or to elaborate strategies with which to improve that performance, but always supervising the results proposed by AI. In Xataka | A company hired a worker, dismissed the boss who selected him and forgot about him: he has been charging without working seven months Image | Unspash (INNN agency, Emiliano Vittoriosi)

It will be normal for companies to win more money with fewer people

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Microsoft is at your best economic moment. At the same time, he is saying goodbye to Much of its template in different departments and key divisions such as Xbox and some of their European studies. The paradox of the company led by Satya Nadella is clear: it is completely normal for companies to win more money with fewer people. The layoffs. The Microsoft case is no exception, it is the new present in the Tech industry. In May fired more than 6,000 employeesabout 3% of its global workforce. In July, I added to the list other 9,000 workers. “Organizational changes necessary to better position the company in a dynamic market,” According to Microsoft spokesmen. The company carries cleaning template since January 2023an added to salary freezing and bonus cuts and incentives for its employees. The figures. Microsoft has closed its last fiscal quarter with income of 64.7 billion dollarsan interannual growth of 15% and a stock capitalization greater than 3.7 billion dollars at the time of writing this article. A you against Nvidia to be the most quoted company in the world. The paradox. Since 2023, the estimated total of dismissals in Microsoft exceeds 30,000. Meanwhile. Historical record in quarterly income. Record in net benefits. Record for action per share. Stock capitalization record. Microsoft is leading the company model towards which the technology industry is directed: more income, more efficiency and less workers. The context. Since 2022, layoffs are becoming usual. They do not arrive in a context of recession, they arrive in the midst of an increase in the valuations of technological actions. They are an integrated routine, in cases like Microsoft’s, in the company’s quarterly planning itself. Far away is the post -financial stage of 2008, with the United States keeping interest rates and investment in Big Tech absolutely triggered. A phenomenon that continued after Pandemia, with the great technology overcome and entering a war for talent. Image | Trueup.io Where are we going. Since 2022, great technology have stopped the Race for hiring and entered a completely different phase. It is forecast that about 200,000 technology employees will be fired in 2025. A figure still distant from The 400,000 that were recorded in 2023but symptom of a trend that will not be reversed. Mainly for three reasons. Because. In the years immediately after pandemic, technological ones launched themselves to an aggressive hiring strategy. Thousands and thousands of job offers in a context after which Andy Jassy himself, CEO of Amazon, admitted that had hired too much people. Superstar. Although the wave of dismissals sounds like a crisis for workers in the Tech sector (because there are), the sector giants are raffling the most specialized profiles. The focus is on attract talent to win in AIturning engineers In the new players. The division is clear: thousands of workers going to the street, and engineers signing with seven -digit salaries. And, along the way, companies earning more money than ever. In Xataka | 50 years later the amazing thing is not that Microsoft continues to exist. The hallucinating thing is that it remains (Tan) relevant

Microsoft is one of the world’s largest companies. He has had to abrive his workers because they didn’t even use Copilot

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In case it was not enough pressure for Microsoft employees, after announcing the dismissal Now he has decided to take a radical turn in his internal strategy and requires his employees to use tools for In your workflow. What was only a recommendation before, now it has become a demand in the toughest line of the “Ai Fluency” that has already been established in companies Like Duolingo, or Canva. According to published Business Insiderthis change responds to the imperative need for Microsoft to accelerate the adoption of AI among its own template, especially considering that only a few They used their github co -ilot. At the blacksmith’s house, stick knife. AI is no longer optional. Microsoft’s address has made it clear that “the use of artificial intelligence is no longer optional.” As published by the American media, Julia LiusonPresident of the Microsoft developer division, sent a forceful email to Microsoft managers: “AI is now a fundamental part of our way of working. Just like collaboration, data -based thinking and effective communication, the use of AI is no longer optional: it is essential for all roles and all levels.” This message implies that all employees, regardless of their position, must carry out literacy in AI and incorporate artificial intelligence into their workflows with the objective of Automate bureaucratic tasks or repetitive processes. Do not use it penalizes. To encourage their use, Microsoft managers received the order to incorporate the knowledge and use of AI among the factors to assess when evaluating their performance. “(AI) It should be part of their holistic reflections on the performance and impact of each individual, “Liuson instructed to those responsible for team. Although there is still no unique metric in all departments, some teams are already assessing establishing concrete ways of measuring this aspect in the next annual performance reviews. The enemy at home. This change seeks to solve what Microsoft considers that Github Copilot’s too slow adoption among its own workers. The pressure to adopt the AI ​​not only comes from within. Satya Nadella’s firm faces hard competition between models of programming assistanceas cursor or Replitwhich are winning growing in number of users, to the point of overcoming it in some segments of use. Citing a Barclays report, the American media says that “cursor would have already overcome Copilot in a key segment of the development market.” Technology currently allows its employees to use external AI tools provided they meet certain security requirements, which shows that not even in its Github Copilot bosom has the monopoly. Business Carambolas. Microsoft’s alliance with Openai is about to give a new fruit, since Sam Altman’s company is tantling the purchase of Windsurfmain cursor rival in the Nic of AI agents for programming assistance. Since Microsoft has an agreement with the Chatgpt creator, this acquisition would give indirect access to the intellectual property of Windsurfwhich would help you improve co -ilot performance. With this New movement Nadella’s masterful, Microsoft would have access to the heart of its main rival, something does not go unnoticed for Windsurf and OpenAi managers. In Xataka | Microsoft fired him after 23 years but continues to go to the office: “I feel responsible for my team and my clients” Image | Unspash (Salah Darwish, Tai Bui)

WhatsApp will allow companies to call you directly. The question is whether it will become another spam nest

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WhatsApp has announced An important update for its business platform that will allow large companies to make direct voice calls to users. The novelty also includes video calls and business voice messages, all enhanced by artificial intelligence in order to automate commercial interactions. What includes the update. Companies that use the WhatsApp Business platform can both receive customer calls and perform them directly in the future. This function adds to video calling capabilities, useful for telesalud consultations, and to send voice messages. Meta is also expanding its business functions, which include personalized recommendations of products and automated customer monitoring through Chat. Why is it relevant. WhatsApp Business already has more than 200 million monthly users and has become an important source of goal income. The company generates money through its click ads to WhatsApp and charges merchants for messaging functions. This expansion towards direct calls seeks to make WhatsApp a more complete business communication channel, especially in markets such as Brazil and India where it is already very popular for customer service. However, it also raises doubts in terms of safety and privacy for the user. We must also bear in mind that, over the last years, WhatsApp has become A very attractive focus on cybercriminals in order to cheat their victims with increasingly sophisticated techniques of Phishing. Of course, it is convenient to be cautious in a context in which the scams proliferate more than ever through the messaging app and in Spain, with traditional calls, where The Robinson list Try to limit unplayed commercial calls, it offers disparate results. Although goal seems to have everything under control over this new function. What does goal say about it. The company ensures that companies can only call users who have previously requested to be contacted and will work with certified partners for the deployment of these functionalities. Meta is also integrating WhatsApp, Facebook and Instagram marketing tools on a single platform, which will allow companies to manage their campaigns centrally and optimize their advertising budgets. And now what. Although the function seeks to facilitate customer service and automate the answers Through the (Something that does not usually like the user), the success of this functionality will depend largely on how target implements the controls to avoid abuse. If the verification of companies is rigorous and the complaint mechanisms work correctly as the company indicates, it could become a useful tool for customer service. However, it does not hurt to stay alert to possible unplayed calls and be cautious with any request for personal or financial data that they receive through this route. Cover image | Goal In Xataka | Finally WhatsApp will use AI in something that will make many happy: to end the chaos of the messages without reading

The two most important chip companies in China have a problem: the 5 Nm have been choked

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In the middle of last May Dr. Kiman expert in the manufacture of integrated circuits who has worked in Samsung and who currently investigates for TSMC in the US SMIC (Semiconductor manufacturing international corp) I was about to Start 5 nm chips production. And also that he planned to launch his first 3 Nm nodes equipped with GAA transistors (Gate-alall-around) in 2026. This company is the largest Chinese manufacturer of semiconductors, and has been working on the development of its own 5 Nm photolithography with Huawei. For these two companies to have the ability to manufacture their own 5 Nm chips is crucial, but they are having serious problems with this integration technology. Dr. Kim pointed in May that the performance by wafer that SMIC had reached in this node was less than 30%, but now there are two antagonistic means, the Canadian platform Techinsights and the Chinese newspaper SCMPthose that support the difficulties faced by Huawei and SMIC. According to Techinsights the new laptop Matebook Fold Ultimate Design Huawei incorporates a soc Kirin X90 manufactured by SMIC. Nothing striking here. What is surprising is that the chip of this ambitious team is not produced in the 5 Nm node. SMIC is manufacturing it in its second -generation 7 NM node (N+2) using an integrated circuit production technique known as Multiple patterning. This strategy in broad strokes consists in transferring the pattern to the wafer in several passes with the purpose of increasing the resolution of the lithographic process. China needs avant -garde lithographs, but endures thanks to mature chips The problem facing SMIC and Huawei, as we have explained in other articles, is that the Multiple patterning It has an upward impact on the cost of chips and the decrease in production capacity. These two Chinese companies have been forced to use this technique in their equipment deep ultraviolet lithography (UVP) because the prohibitions of the United States and the Netherlands prevent the Dutch company Asml from selling their machine their machines in Chinese extreme ultraviolet photolithography (UVE). The latter allow to produce more advanced semiconductors than UVP equipment. In Xataka The cure of some diseases "incurable" is already closer thanks to quantum computers According to Techinsightts, the new Matebook Fold Ultimate Design Matebook of Huawei incorporates a SOC Kirin X90 manufactured by SMIC In current circumstances it is reasonable to conclude that Huawei has not yet incorporated 5 Nm chips manufactured by SMIC in its most advanced equipment because the production of these integrated circuits is still very limited. This is what Techinsight and SCMP supports. And we think about it too. However, there is something important that we should not ignore. As I mentioned a few lines above, China needs avant -garde photolithographies To have the ability to make chips as advanced as those produced by South Korean companies Samsung or SK Hynix, Taiwanese TSMC or Intel or Micron Technology Americans. But, curiously, the Chinese semiconductor industry is surviving Thanks to mature chips. In fact, in 2024 it produced 12.5% ​​more than in 2023. It is not bad at all, especially if we are in mind that US sanctions and their allies prevent Chinese manufacturers of integrated circuits accessing UVE lithography equipment. And since 2024 they cannot buy more UVP lithography machines. For a good part of 2022 the production of China semiconductors suffered an important fall and did not begin to recover until the end of that same year. Of course, in 2023 this industry grew almost constantly, and in 2024, as we have just seen, the rebound was monumental, especially in the final stretch of the year. {“Videid”: “X81Felr”, “Autoplay”: False, “Title”: “A future without mole in China the industry changes the paradigm and we explain why”, “Tag”: “”, “Duration”: “182”} In this situation it is reasonable that we ask ourselves what kind are the integrated circuits that are producing the Chinese manufacturers. And the answer is very revealing: these are chips derived from mature integration technologiesusually of 28 nm or less advanced. After all, the semiconductors that we find mostly on electronic devices, appliances or cars, among other products, have been produced using them. More information | Techinsights | SCMP In Xataka | The US has declared the total war on Huawei: he does not want him to sell his chips for the most advanced outside of China (Function () {Window._js_modules = Window._js_modules || {}; var headelement = document.getelegsbytagname (‘head’) (0); if (_js_modules.instagram) {var instagramscript = Document.Createlement (‘script’); }}) (); – The news The two most important chip companies in China have a problem: the 5 Nm have been choked It was originally posted in Xataka by Juan Carlos López .

An existential threat looms over several US chips companies. And China is just one of its problems

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Several US companies involved directly in the integrated circuit industry are suffering. Some of them, in fact, They are flirting with bankruptcy. In this context it is inevitable not to think of Intel and The difficult stage that crosses Currently, but from the company Led by Lip-Bu Tan We have spoken a lot in recent months. The companies in which we are going to investigate in this article are smaller, but, even so, they play a very important role in the US chips industry. The worst is happening is, without a doubt, Wolfspeed. And this company of Durham (North Carolina) It has officially declared in bankruptcy. Its specialty is the development and manufacture of silicon carbide (sic) and gallium nitride (GAN) semiconductors for high -power electronics applications, which positions them as extraordinarily attractive integrated circuits for the electric car industries, renewable energy, data centers, fast -charged infrastructure and aerospace and military industries. Robert Feurle, the general director of Wolfspeed, has declared That “after evaluating the options available to strengthen our balance and adjust our capital structure we have decided to take this strategic step (declare in bankruptcy and look for new financing routes) because we believe that it will place Wolfspeed in the best possible position for the future.” An interesting note before moving forward: Spain has launched The Godic project with the purpose of contributing to the independence of Europe of silicon carbide semiconductors from China and the US. China is not the only cause of the problems of American companies Wolfspeed is not at all the only company in the US chips industry that is in difficulties from a financial point of view. The American subsidiary of the Israeli company Tower Semiconductor, Globalfoundries, on semiconductor, Skywater Technology or Ayar Labs are some of the companies that are also facing economic difficulties. The competition from China is subjecting them to a pressure that does not cease to increase, but the competitiveness of Chinese companies is not the only factor that is putting in trouble some US chips companies. The competitiveness of Chinese companies is not the only factor that is putting in trouble some US chips companies Tariffs linked to Imports from China which has deployed US administration seeks to protect the business of US companies within your market. However, most of the companies that I have mentioned in the previous paragraph also sells their semiconductors outside the US. And the competitiveness of Chinese companies in other markets is very high due mainly to two crucial factors: their prices are moderate thanks to contained production costs and the quality of their products is comparable to that of their western and Asian competitors. In any case, the economic problems faced by some designers and manufacturers of American chips do not have their origin solely in China’s competition. Wolfspeed is at a very delicate moment because, beyond the pressure exerted on it, its Chinese competitors, The global demand of the high -power semiconductors it produces has fallen. In addition, during the last five years He has borrowed To be able to build new integrated circuit factories, and currently you cannot assume this economic burden. The panorama of other US companies that are dedicated to chips is not very different to the context with which Wolfspeed is dealingso it is possible that in the short or medium term other companies also enter in bankruptcy. Image | Xataka More information | GLOBALDATA In Xataka | The US is willing to do anything for advanced chips not to reach China. And Malaysia is an obstacle

Among generalist or specialist, companies already have their response

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He initial astonishment against chatgpt It was not only because of that magical feeling of seeing how character responded to character, pattern inherent to the LLMs that humanized them to some extent. The astonishment was because they knew everything. They explained quantum theory and wrote poetry, summarized novels and armed a business plan in seconds. They seemed capable of anything, such as the classic first row student who dazzled because he analyzed Blasco Ibáñez with the same precision with which he resolved a differential equation. The question, sooner or later, always comes: What is the use of? In it Deloitte technological trends report for 2025 A track appears: many companies that had opted for these generalist models – large, complex, difficult to refine – are beginning to look at smaller and specific options. Models trained with less data, but much more relevant. Specialists, no todologists. It is no accident: that initial enthusiasm with the Llm It is running with a reality: knowing everything is not always useful. And the world of business does not value wisdom, the margin is valued. As sometimes it happens, this is a more philosophical change. And he looks a lot like an old debate in companies: that of human specialists vs. generalists. The expert who has dedicated his life to a single field that dominates as anyone … … Faced with the broad, curious, adaptable profile, with tangential knowledge. David Epstein explored it well in a book that I loved it‘Amplitude‘. That title made a somewhat uncomfortable thesis fashionable: in a changing world, specialization can become a cage. But the AI, perhaps in a counterfit, is returning luster to the specialist profile. Because? Because in practice, Generalist models are vague. They try everything but refine a little. An AI that advises doctors, lawyers or engineers cannot be improvised. It needs rigor. Context. Know the terrain. And that does not give it, the approach gives. There is a slightly thinner reading here. The turn to specialized models allows greater efficiency, but also more control. The big models are in the hands of a few: OpenAi, Google, Anthropic, goal … are closed, opaque, often expensive. The smallest models can be open, trained at home, adaptable to concrete niches. They look more like tools than oracles. It also has labor implications: If a generalist can do “everything”, it is a diffuse threat. If there are many specific ones, they may not come so to replace people, but to expand them. A doctor with an AI adjusted to his specialty, an architect with an assistant who knows how to read plans, an –ejem– editor with a co -pilot specialized in his sector. It is not the same to compete with a universal AI as collaborating with a refined tool. And this connects with something more important: A new knowledge economy. For years, we were told that “knowing everything.” Be versatile, navigate between disciplines. Now, companies reward the located, technical, deep knowledge. We already know that IA transforms workbut perhaps also our ideas about knowledge. What is worth, what matters. And there comes the question. What kind of intelligence do we want to enhance? One who knows a bit of everything and monopolis attention? Or many humble intelligences, distributed, each focused on solving their own problems? Choosing between generalists or specialists is how we want to live with AI. And what knowledge model we prefer for the coming world. Outstanding image | Elen Sher and Patrick in Unspash In Xataka | Deep Research is not just a new AI function. It is the beginning of the end of intellectual work as we know it

Replacing workers with AI sounded spectacular. There are already companies backward

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That an AI takes away our work is A fear That is being realized. More and more companies that bet on replacing human employees with automated processes with AI. At the same time, the potential that the AI agents It seems almost unlimited. The reality is much more complex and there are already some companies that have had to give reverse in their plans. Yes, but to supervise her humans. There are many companies that have begun to draw a plan to replace their employees with AI, especially in the sector of the customer service. However, according to a survey of Gartner, 50% of companies are abandoning this path due to the challenges that the transition to a service managed only by AI is assuming. 95% of the executives surveyed claimed that they would bet on a hybrid approach combining AI and Human agents. In the words of Kathy Ross, director of the Gartner customer service: “IA offers significant potential to transform customer service, but it is not the panacea. The human touch remains irreplaceable in many interactions.” The Klarna case. Perhaps the most popular case of a company that has regretted betting on the AI ​​is that of Klarna. In February 2024, his CEO presumed that an AI was doing the work of the 700 employees who had just fired and also assured that he was receiving the same score from the clients. A year later, the quality of service offered by AI received many criticisms and had to back to hire human labor Ensure that customers can always talk to a human agent. Not so quickly. Although currently the agents of AI are not so reliable As Altman promisedit does not guarantee that they will not improve in the future. In addition, there are cases of other companies to replace humans for AI has gone well. Like the CEO of this Indian startup that He fired 90% of the template And a year later he states that it has been A success. And it is not the only one. Duolingo, for example, fired 10% of its translators to replace them with an AI. Other large companies such as UPS and Cisco They have followed similar paths. The case of IBM It is particular, since, although it has opted for AI, it has also had to hire more workers precisely to manage that AI. IA agents. With the generative AI in decelerationsince the end of last year there is another concept that has gained relevance, that of the AI agents. While chatbots can only attend one request at the same time, an AI agent is able to perform more complex tasks. For example, you could organize the holidays only to mention the dates and destiny. The promise of autonomy, the ability to handle several tasks at the same time and make decisions make the AI ​​agents A threat to many jobs. Unreliable. We can all make mistakes and in this it seems that AI agents are very human. The problem is that if an AF agent makes an error, he continues to repeat in successive tasks, making the error increasing And the final result is also wrong. We have also seen other uses of AI tools at work that have not fully went well, such as disastrous work interviews conducted with AI. A revealing experiment. A experiment carried out by researchers from the Carnegie Mellon University He suggested that they are still very green. They created a fictitious software company whose employees were AI agents. They used Google, OpenAi, Anthropic and Meta models, to which they assigned roles such as finance, administration or software engineering. The result was disastrous: they only managed to complete 24% of the tasks assigned to them. AI and labor market. The impact of AI on the labor market is undeniable. According to the last World Economic Forum Reportit is expected that by 2030 92 million jobs will be destroyed due to AI automation. But there is another face of the currency. At the same time, they will be created 170 million new positions And the AI ​​will be one of the job creation engines, something we have already seen with Salesforce’s case. Cover image | Pixabay In Xataka | The workers have stopped fear of AI as a machine to destroy jobs: software engineers do not think the same

Every year millions of packages are lost during shipments. So there are companies that are selling them to weight

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Only in the United States They lose or steal 1.7 million packages every day. In Spain the latest data from the TDI logistics group They revealed that more than two shipments were lost per minute. The curious thing is where at least part of them end: they are shown to weight. Millions of lost packages. According to They indicate to EFE From the employer of the logistics sector one, in Spain more than 3.3 million packages are sent per day, and the cases of loss involve a tiny fraction of 0.001% (about 3,300 per day). A simple error on the label or lack of centralized information can cause these problems, and that is where some companies recover them to resell them. Reversing weight. Services such as Crazy Day Factory, My Mystery Package, Merkandi, LotesDevolutions, or King Colis are dedicated exactly to the same thing: acquiring those lost packages to often resell them as part of surprise boxes that are sold to weight. As they point out in the confidentialin Kink Colis for example they establish a price of 1.99 euros per 100 grams in standard packages and 2.79 euros in the premium type. A lot of noise and few chollos? In King Colis FAQ, a French startup, they explain that buying this type of surprise packages can be very profitable, because one “can contradate state -of -the -art technological devices to clothing or accessories of recognized brands.” However, they also warn: “Not all lost packages necessarily contain treasures. There is a part of chance!” You don’t know what you buy. One acquires these packages to weight, but does not really know what he is buying. As they revealed in the nationalin stores such as my mystery package open ephemeral stores throughout the year in different municipalities to give out these packages, but there is a key requirement: the package cannot be opened until after buying it. And that implies risks. These lost packages are not checked and therefore can be damaged, be defective or have a much lower price than the buyer ends up. In Lotes Devolutions they explain that those products that put on sale – which are returns, not lost shipments – do not go through a previous check, which can end up causing a disappointing surprise effect. Packages are sold repaired without visible brands to eliminate commercial references, turning the purchase into a riddle … or a bet. The psychology of surprise. The surprise boxes such as those offered by all these businesses take advantage of known phenomena of human psychology. Several researchers published in June 2024 A study in which they revealed how the stimulus-organism-response (Sor) causes that impulsive purchase out of curiosity without intervening conscious thinking. We think quickly instead of thinking fast, as the Nobel Prize Daniel Kahneman in his famous’ stood out in depth.Think quickly, think slowly‘. Previous experience. In Xataka we were able to meet this type of business last year, when we went to an old warehouse on the outskirts of Madrid to try to locate some cholt between the chaos of Amazon returned products that a company put on sale. There was no surprise effect here and the proposal is something different, but the conclusion was already clear: we had no luck and after hours of search we went out empty. Finding chollos, whether by surprise or not, is not easy. Image | Chuttersnap In Xataka | The end of free online returns: Zara, Pull and Bear and more stores begin to collect them

Whole China is of exams. So AI companies are laying their chatbots so that students do not cheat

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In Spain the students recently passed By the Pau test (Before EBAU, EVAU or Selectivity), and now something similar is happening in China, where Chinese students face Gaokao (高考), the National Access to University Exam. And they do it with an almost obligatory novelty. Nothing to cheat with chatbots from AI. The most popular chatbots in China Like Qwenfrom Alibaba, have temporarily deactivated functions such as image recognition. They have done it precisely to prevent such characteristic from being used as a modern “chop” To help them during these tests. Impartiality in the tests. The same has happened with Yuanbao (Tencent) and Kimi (MoNshot), two other popular chatbots in China, which have also deactivated that image recognition characteristic. When trying to use this function, they indicate In Bloombergthe text “appears” to guarantee the impartiality of the university access tests, this function cannot be used during the test period. “ An exam in which the future is played. The Gaokao was held for the first time in 1952 as part of the reform of the then newly created People’s Republic of China. The access processes to universities changed during Mao Zedong’s mandate, but in 1977 Deng Xiaoping recovered them and have continued to be used until today. There are 16 provinces with personalized exams, but in all cases the conclusion is the same: these tests determine the immediate future of students In the academic aspect. Designed and printed in jail. Gaoako access tests are so important that they are designed under strict security by a small team of teachers. These professionals are sent to isolated site of Beijing as military facilities or prisonswhere they make the questions. They cannot leave those locations until the tests are performed, but it is also that most exams are printed within prisons and each “printing” is protected 24 hours a day by cameras and guards. Even its transport to the centers is done with security measures that one would expect in money transports from banking entities, for example. Everything to prevent the questions from leaking. Scratch note. Chatbots are presented as a spectacular help for these students, and students – and their parents – know it. The note of these exams determines whether the student may or may not access the best careers and university institutions, and that also depends on their future positions, salaries and even their social mobility. Competitiveness is also huge: More than 13 million students They are presented to these tests this year. To achieve better notes, all kinds of solutions are used, from particular teachers to these attempts to cheat. Of photo recognition, nothing. The tests have taken place from 7 to today, June 10. The Alibaba chatbots (Qwen) and bytedance (Doubao) offered the Image recognition for AI until last Monday. However, according to Bloomberg if a user asked for the solutions to a problem in a paper that was taken a photo, Qwen replied that the service was temporarily disabled. In Doubao the message indicated is that this request “did not meet the rules.” AI is fine to learn, but not for exams. In Beijing they launched recently A plan to integrate the teaching of AI at school. Although this type of discipline in classrooms is being tried, one thing is that they learn to use it and another very different that students take it to cheat in these tests. In fact a new set of standards Published by the Ministry of Education of China last month established that students should not use the content generated by the response in their duties or in the aforementioned exams. The objective: that they do not depend too much on artificial intelligence. Image | 绵 绵 In Xataka | The 100 best universities in the world excluding those of the US, exposed this graphic revealing

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