companies

The AI has converted work interviews into a cheat circus. So companies are returning to the face -to -face

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The virtual work interviews They are already normal in job search processes. The problem is that in certain areas, such as software and programmers engineers, candidates usually take advantage of AI tools to cheat. The trend is so worrying that some companies are already returning What always worked: Interviews in person. Google wants to meet you in person. SUCTAR PICHAI, CEO of Google, He explained in June In the Lex Friedman podcast that renewal of the company’s policies at the time of Hire certain profiles. “We are making sure that we introduce at least one round of the candidate for the candidates, just to ensure that the fundamental aspects are fulfilled.” Return to the face -to -face. Pichai’s message is the same as They are adopting other companies such as Apple, goalCisco or the consultant McKinsey, who are among a growing number of companies that are recovering the interviews face to face with the candidates in various stages of the selection process. Mike Kyle, from the Coda Search/Staffing Employment Agency, explained how the quota of companies that have the requirement to make face -to -face interviews has become 30%, when in 2024 it was only 5%. If you want what salary I offer you, I need to meet you. That return to face -to -face interviews usually also focus on the last part of the selection process, but in reality it can occur at any time. If you do not present yourself physically at some point in that process, You won’t know what conditions (Salary included) offers you the company. Cheat programmers. As we said, that is especially true for profiles such as programmers. During some phases of the interviews, real -time sessions usually consider in which candidates must solve a programming problem. In virtual interviews, what has happened is that the interviewees cheat And they use AI to solve the problem, which is not clear whether or not those candidates meet the requirements. AI has become a problem. The resurgence of interviews in person tries to mitigate the problem that AI has raised. Companies that offer jobs have ended up using AI systems for Filter candidateswhich usually flood those offers because they also use AI to generate their CVS adapted to each position and automate the request for various positions quickly. THE ART OF THE TRAPS A few months ago we counted how a student managed to overcome a Amazon technical interview Thanks to the use of AI. That gave him a disturbing idea, because he created a startup called Cluelly to help others do the same or to make exams. One that in fact advertises with an unusual message: “Cheat everything.” The idea seems to have liked, because the investment firm A16z has already injected 15 million dollars In the project. Deepfakes that are interviewed for you. That is a good example of a dangerous trend. It is not that candidates try to deceive companies about their real capacities thanks to AI: there are people who are using these methods much more worrying. The FBI already warned in 2023 of a fraud that involved thousands of North Koreans that simulated being North Americans seeking to work remotely in US companies. His way of doing so was really striking and complex. Be careful with murmuring. Companies that use virtual interviews in their selection processes are also paying special attention to these traps. In fact, some try to detect them by monitoring indications that can aim at fraud: muttering out of the screen or typing and then pauses before answering (waiting to see what the chatgpt tells them on duty to read that answer) It is usually a clue to hunt checkery. Image | RAD MINE In Xataka | Hide the holes in the curriculum of an intermittent work career: the art of not deceiving without telling the whole truth

Huawei’s problem against Nvidia is that China’s own companies prefer to continue using Nvidia

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Chinese companies that are dedicated to the development of large models of artificial intelligence (AI) are trapped. On the one hand they are being forced to deal with the export restrictions of the GPU imposed by the US government. And, in addition, they are subject to His own dependence on American technology. A priori the optimal solution for them would be to stop buying Nvidia and other US companies their chips for AI, and getting “comparable” GPUs proposed by Huawei or Moore Threadsamong other Chinese companies. However, as explained in your article to Foreign Policy The American analyst Kyle Chan, the scenario they face is more complicated than it seems. And it is that abandoning Nvidia in practice is very difficult. According to ChanTencent, Bytedance, Alibaba and other Chinese companies prefer GPUs for NVIDIA because their performance is greater, especially when facing the training processes of their AI models. However, they especially opt for the chips of this American company thanks to CUDA (Compute Unified Device Architecture). CUDA is the most devastating Nvidia weapon to continue leading in AI Hardware Most of the AI projects that are currently being developed are implemented on CUDA. This technology brings together the compiler and development tools used by programmers to develop their software for NVIDIA GPUs, and replace it with another option in the projects that are already underway it is a problem. Huawei, who aspires to an important portion From this market in China, it has Cann (Compute Architecture for Neural Networks), which is its alternative to CUDA, but for the moment CUDA dominates the market. “China must develop an alternative system to achieve self -sufficiency in AI” This declaration of Li Guojie, a computer scientist from the Chinese Academy of Sciences that is considered an authority in China, Express clearly how important are the tools that I just mentioned in the AI models development ecosystem: “China must develop an alternative system for achieve self -sufficiency in AI (…) Deepseek has had an impact on the CUDA ecosystem, but has not completely overcome it because barriers persist. In the long term we need to establish a set of software tool systems for the controllable that exceed CUDA. “ This is undoubtedly one of the great challenges that China faces in this area, and probably its best option is Cann. During the last five months Huawei has launched two GPU for Ia Very competitive and is about to take a very important step: Cann will position as an open source tool kit. Its purpose is, According to Eric Xu ZhijunRotary President of Huawei, “to accelerate the innovation of developers and get the chips of the Asce Family to be easier to use.” Xu Zhijun does not mention it expressly, but what his strategy pursues in the background is to increase the competitiveness of the Huawei ecosystem attacking Nvidia where he is stronger. In addition, it has already begun to discuss with the main actors of the AI industry of China, as well as with its business partners, universities and research institutions How to build your ecosystem Open source ascend. If this initiative thrives, and presumably will, it will represent a very important step forward on the road to China’s technological independence. Image | Nvidia | Huawei More information | Foreign Policy In Xataka | Nvidia has to deal with the absolute distrust of several US legislators. His plan in China is in danger In Xataka | The US wants to end the chips for the Chinese that are sold abroad. And China knows how to defend oneself

We knew that North Korea has been infiltrating workers in companies in the West. Now we know how they do

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North Korea has been infiltrating teleworkors with false identities in United States companies. After that country became more hostile, the actor’s attention turned to Europe. According to the FBI, the Department of Justice and Googlewhat these employees pursue is to get income to finance the North Korea Nuclear Program. He modus operandi It was a great unknown. Until now. A framework without any improvisation. A cybersecurity researcher who responds to the name of Sttyk It was made with a database that has shown the environment Wired. The files include, according to Sttyk, “dozens of data gigabytes” and “thousands of emails.” From this information an organized workers’ structure is extracted in twelve groups, which in turn have approximately other twelve members. They respond to a general “master boss.” Organization in spreadsheets. The group works using the Slack communication tool, Google, Github and spreadsheets accounts. In the latter, an exhaustive follow -up of the works and the progress of the objectives, both economic and strategic, is made. They even collect the needs of specific jobs (required programming languages) of the companies to attack and their locations, with a record of whether there have been contact with the companies or progress of the process. How they get work. A few days ago, the BBC collected Jin-Su’s testimonya false North Korean teleworking that managed to defect. He said that most of the time of his work focused on acquiring fraudulent identities to request work. He went through Chinese, but aware that he needed Western identities, more attractive to the labor market, he got identities of people from Hungary, Türkiye or the United Kingdom. From there, the most involved workers in the process of getting work are the ones who most dominate English, although the fact that communications with technology companies are done by platforms such as Slack helps a lot. Also that many interviews are not made face to face, although that can be reversed with the proliferation of interviews made with artificial intelligence. Researchers have found identical curriculum among the suspects of being false workers. What jobs do they point to. We knew that false teleworkors were looking for employment in technology companies. The filtration is confirmed and limited to the areas: artificial intelligence, blockchain, Bots development, web development and mobile apps and desktop, CMS development, etc. The question of income. Jin-Su said that several works between the United States and Europe, earned about $ 5,000 per month. From what I entered, I had to pay 85% to North Korea, and even so, he said “it is much better than when we were in North Korea.” According to a United Nations report in March 2024, workers manage to generate between 250 and 600 million euros per year for their country of origin. The money they retain has a lot of value when they return to their country (many work from Russia or China, where they have more freedom), so the reasons for dropout lose weight. In parallel to this group of teleworkors operate the hackers that They steal cryptocurrencies To pass at the hands of the regime. Only in a blow in March this year they got 1,500 million, but in December 2024 they accumulated Other 1.3 billion in 47 blows. Working conditions that scare. The filtration presents a scenario that, although better than the one in North Korea, is nothing flattering for the workers involved in the plot. According to a Slack recording, the boss’s account stated in a message that “everyone should work more than at least 14 hours a day.” Although it sounds a lot, it does not perform from the model of some Silicon Valley companies or of the Elon Musk vision and its 120 hours per week. Images | Kremlin and Altumcode in Unspash In Xataka | Now we know everything that the new North Korea resort offers for 2,000 dollars. There is only one rule: be Russian

There are two suspicious companies of the theft of critical data of TSMC and none of them is China: the two are Japanese

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TSMC leadership has a price. This Taiwanese company is The largest semiconductor manufacturer on the planet and has built its success on the tuning of Extremely competitive integration technologies. Your most advanced photolithography is currently The 2 Nm; In fact, it is about to start the large -scale manufacture of chips of this class. All probability of their competitors, they could know their most sophisticated processes, especially those that are linked to their 2 nm node. And, apparently, some of them are trying to get this information. As We explain three days agothe Taiwanese authorities have arrested three TSMC employees because they have allegedly stole commercial secrets of this company. As we can expect, behind this detention is TSMC itself, as He has revealed The Taiwan Superior Prosecutor’s Office in a statement. According to Nikkei Asiathose responsible for this company have realized that two employees and a former employee have been made with critical information about their photolithography of 2 Nm. This information is very valuable. In fact, it could be used by a competitor to optimize its own semiconductor manufacturing processes. Two unexpected suspects: Tokyo electron and rapidus corporation The research has not yet determined if this stolen information has reached another company, but United Daily News ensures that researchers have registered the offices of the Japanese company Tokyo Electron. The latter is specialized in the design and manufacture of wafering processing equipment, and currently its most ambitious project is the tuning of wafering engraving machines by plasma. These equipment are involved in the definition of the pattern that will later be transferred to the wafer. Rapidus is making a chip manufacturing plant in northern Japan in which it plans to produce 2 Nm semiconductors According to SCMPTokyo Electron has confirmed that he has fired an employee of his Taipéi subsidiary (Taiwan) for being involved in the theft of TSMC’s critical information. This Japanese company also ensures that He is collaborating with the Taiwanese authorities They are carrying out the investigation. “That Tokyo Electron is located in the center of attention for this incident is an unfortunate accident,” has declared ASUSHI OSANAIProfessor at the University of Waseda (Japan). However, this company is not the only Japanese company that has been involved in this conflict. And is that Money.udn.com maintains that some of the TSMC employees who have been arrested have delivered to Rapidus corporation Hundreds of photographs and data linked to their most advanced process integration techniques. This company is intended to compete from you to you with TSMC, Intel or Samsung in the chip production market. Interestingly, it is very young: it was founded on August 10, 2022 by the Japanese government with an initial capital of 7,346 million yen (just under 46 million euros) contributed by, and here comes the interesting, Sony, Toyota, Nec, Softbank, Kioxia, Denso, Nippon Telegraph and Mufg Bank. Rapidus is currently putting a circuit manufacturing plant integrated in northern Japan, in the city of Chitose (Hokkaido), in which it plans to produce 2 Nm semiconductor. The first prototypes of these chips are already ready, but large -scale manufacturing It will not arrive at best until 2027. Anyway, as in relation to Tokyo Electron, the possible implication of Rapidus in the theft of data to TSMC has not been officially confirmed. In fact, it is possible that the authors of this crime have acted on their own and have offered the stolen information to Rapidus without this last company having requested or accepted. Those responsible for the investigation will have to settle. More information | Money.udn.com | SCMP In Xataka | South Korea fears US reprisals. To avoid their old lithography equipment, they take dust on a warehouse

In Europe, gas and disused coal plants have unexpected suitors: technology companies

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The climatic commitments that It has acquired Europe They have condemned in the short or medium term the future of gas and coal power plants disseminated by the old continent. Many of them no longer serve, but, surprisingly, the rise of the artificial intelligence (AI) has the ability to save them. This does not mean at all that they will burn gas and coal again; The option on the table is to convert them in data centers. Microsoft and Amazon are, According to Reuterstwo of the large technology companies that are interested in transforming these old power plants into modern data centers equipped to the last one. In fact, its managers are already negotiating with the French energy company Engie, the German RWE and the Italian in the possibility of using their facilities for this purpose. For energy companies this option is very attractive because it allows them to kill two birds. On the one hand, the transformation of their old electric power plants into data centers guarantees them in income with which they did not count so far. And, in addition, the energy companies that I have mentioned in the previous paragraph and some others are negotiating with the technology companies the possibility of give them the supply of electricity that require your data centers. A priori seems like a fissure plan. An agreement in which everyone wins “You have all the necessary pieces, such as water infrastructure and heat recovery.” This Bobby Hollis statementVice President of Energy in Microsoft, repairs something very important: the old gas and coal centrals that are no longer operational have the water supply and the heat management infrastructure that data centers need. Presumably it will not be necessary to undertake a large adaptation to transform these facilities into operational data centers. Agility when putting up these data centers and moderation of costs is what makes them so attractive to large technology On the other hand, Lindsay Mcquade, director of Energy for the EMEA area (Europe, Middle East and Africa) at Amazon, Trust in that the permits that technology companies need to operate these converted data centers are available long before the new facilities. After all, most of Infrastructure are already installed In these buildings from the beginning. In fact, agility when pointing out these data centers and moderation of start -up costs is what makes them so attractive to large technological ones. In Europe and the United Kingdom since 2005 they have closed no less than 190 coal and lignite centralsand another 153 will follow this same path before the year 2038. It is evident that the possibility of reusing all these buildings transforming them into data centers for AI is very attractive. However, there is a challenge that is not yet resolved and that can condition this plan. It is not clear that the electrical infrastructure of some countries is capable of delivering The energy required by these facilities without previously undertaking a large -scale development. In this scenario renewable energies and nuclear will have the last word. Image | Marcin Jozwiak More information | Reuters In Xataka | We have a serious problem with air conditioning: it consumes much more electricity than data centers

The strongest Chinese companies in Chips and IA have created a historical alliance

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The future of Nvidia in China is increasingly uncertain. The suspicions of the administration of the Chibespace of China about The safety of your GPU H20 for artificial intelligence (AI) force this company to convince the Chinese government that their chips are reliable. However, this is not the only challenge that Nvidia faces in the country led by Xi Jinping. And it is that a good part of the most relevant Chinese companies in the semiconductor industries and AI have allied to encourage the adoption of chips for the Chinese. During the last fiscal year, which expired on January 26, 2025, China represented approximately 13% of total income of the company led by Jensen Huang with a figure of about 17,000 million dollars. In practice, this Asian country is the third best client of this company only behind the US and Taiwan. In fact, according to TrainingView At the beginning of 2025 Nvidia had a fee in the Chinese chip market for no less than 95%. However, during the last weeks it has dropped to 50%. This abrupt decrease is largely due to the export restrictions of chips for the The US government has imposedalthough it is also caused by the development of competition within China. And, to curl the curl, Stepfun, which belongs to Tencent Holdings; Infinigence ai; Siliconflow, from Huawei; Metax; Biren Technology; Focus me; Iluvatar Corex; Cambricon Technologies and Moore Threads, which are some of the strongest Chinese companies in the development of chips for AI, They have constituted an alliance who seeks to stop Nvidia. For Nvidia it is increasingly difficult to sustain its position in China The Chinese government is urging Chinese companies that are dedicated to the development of large models of the use in their servers integrated circuits of Chinese origin. The alliance for innovation in the model-chips ecosystem, which is what is called the organization that the Chinese companies that I have mentioned a few lines have constituted, represents an important step in this direction. Nvidia has in its favor the mass implementation of CUDA (Compute Unified Device Architecture) In the AI projects that are underway, but the panorama is already beginning to change. This technology brings together the compiler and development profits used by programmers to develop their software for NVIDIA GPUs, and replace it with another option in The projects that are already underway It is a problem. Huawei, who aspires to an important portion From this market in China, it has Cann (Compute Architecture for Neural Networks), which is its alternative to CUDA. However, this is not the only asset in the country governed by Xi Jinping. Nvidia has in its favor the massive implantation of CUDA, but the panorama is already beginning to change Moore Threads It is one of the Chinese companies that are dedicated to the production of hardware for which companies aligned with the interests of the US and its allies cannot sell software or advanced equipment. Although it is very young (it was founded in 2020) it has something very important in its favor: its founder is Zhang Jianzhong, former general manager of the Nvidia subsidiary in China, so it is evident that he knows well what he has in hand. Moore Threads has developed several GPU for AI applications that, on paper, rival some of the advanced solutions that have placed in the Nvidia, AMD or Huawei market. The cards MTT S4000 and MTT S3000 They are its most interesting proposals right now, although, curiously, in its porpholio the MTT S80 card also appears, a proposal for games and content creation that, according to Moore Threads itself, has a calculation capacity of 14.4 Tflops in single -precision floating coma operations. It doesn’t impress, but it’s not bad at all. However, this company has something else: a software package with which the domain of CUDA seeks to break. Muse calls itis compatible with the range of MTT cards that I have mentioned a few lines above and incorporates a compiler, execution libraries, specialized libraries and code purification tools. However, this is not all. On paper its most attractive capacity for China is that it allows to reuse the code written in CUDA, transferring it so that it can be executed on the cards for Moore Threads. It is difficult to predict what reception the hardware and software of this company will have in your country of origin, but there is no doubt that it is worth following the track. Image | Moore Threads More information | SCMP In Xataka | AI is the best thing that is happening to nuclear fusion. It is already accelerating the construction of Iter

Train liberalization in Spain has been a success for travelers. The problem is that companies are losing a money

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Railway liberalization has reached cruise speed with spectacular results for passengers … but demolving for operators accounts. Why is it important. The train price war is changing the transport map in Spain. Users earn with more low options and prices, but companies are bleeding money in a battle that has also begun to question the sustainability of the current model. In figures: Almost 40 million travelers They used high speed in 2024. That is 77% more than in 2019, before pandemic. Prices They have fallen up to 42% On some routes. Passenger income is 35% below the levels prior to liberalization. The context. Ouigo has become the undisputed EY of low prices. In the first quarter it was the Most economical operator in four of the five liberalized runners: Madrid-Barcelona (18.59 euros). Madrid-Sevilla (29.09 euros). Madrid-Málaga (26.89 euros). Madrid-Aliante (20.80 euros). Only in Madrid-Valencia surpassed him Avlo, and it was for just 25 cents. This aggressive strategy It is giving results. The French subsidiary has managed to capture 36% of the market in Madrid-Aliante, 25% in Madrid-Valencia and 15% in Madrid-Barcelona. Yes, but. Profitability is another issue. The sources do not indicate the concrete losses of each operator in 2024, but The data They indicate that the average income remains far from the levels that Renfe achieved alone. The operators have increased only 6% the average income in Madrid-Barcelona, to the 8 cents per traveler and kilometer, a figure that remains 35% lower than the era of the monopoly. Deepen. Beyond numbers, liberalization is changing mobility habits. The train has won the battle to the plane bluntly: In Madrid-Barcelona, the rail share went from 65%to 81.5%, while other routes exceed 80-90%. And now the financial sustainability of the sector is at stake. If current margins do not allow long -term profitability, something will have to give in: either prices, or some operators will end up withdrawing from the market. In Xataka | Renfe trusted the Avril trains to face the Low Cost of Ouigo and Iro. They do not stop giving problems Outstanding image | Dani guitar

Elon Musk wants Elon Musk’s companies to finance Elon Musk’s AI with Elon Musk’s money

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Elon Musk is clear that his most immediate future passes, yes or yes, due to artificial intelligence. The eccentric magnate launched two years ago Xai After resorting, among others, the resources of Tesla and Spacex to raise funds. Much has rained since then. Elon Musk already has an AI model in the market, Grokand wants to continue growing to stand up to OpenAi, Google and company. For that he needs resources, and something else, but if something has the richest man in the world they are plenty of resources. So he has put the machinery in motion. -He Elon, can you give me money? – Of course, Elon. – Thank you, Elon. The billionaire has us accustomed to mobilizing Spacex resources to finance their movements. For example, Spacex gave him a loan of 20 million dollars to finance Tesla in its first measures. Also He used Spacex resources to finance The Boring Company And even asked $ 1,000 million to face the purchase of Twitter. Why use Spacex resources? Because it is his company, he founded it with 100 million dollars from his own pocket and is not a public company, Ergo is not participated and does not have to ask the investors permission. With Tesla, a company that is also CEO, the situation is different. Tesla is a public company and has a shareholders’ board that must approve the mobilization of resources. It is true that It is a Board of Shareholders faithful to Muskbut it is a process that cannot be skipped. However, in 2016 he used his Tesla actions to Buy Solar City Company of renewables of which Musk was maximum shareholder and Lyndon Rive, his cousin, the CEO. Inverters did not like it too muchby the way. More money. Knowing that, it will surprise us less than Spacex has approved Invest 2 billion dollars in XAI, the artificial intelligence company that Elon Musk is (surprise) founder and CEO. This investment is part of a capital collection of 5,000 million Announced by Morgan Stanley Last month. It is also the largest investment that Spacex has made in another company and the first in XAI (of which you have record, of course). Grok now has an anime avatar. This, specifically | Image: Xataka Android In the background. The reality is that these movements have the objectives to increase the capabilities and assessment of XAI, as well as allow their operations to be maintained. The latter will see that it is still complex. With regard to “artificially” the valuation of XAI, the most striking movement was undoubtedly The purchase of X by XAI. That increased the valuation of X to 33,000 million dollars and that of XAI to 80,000 million dollars, according to Musk. It is no accident that Grok is integrated into X, which recently to the Starlink customer service support and that Musk wants to use it as the basis for optimus robots. Everything revolves around Xai into the spearhead of his empire. But need more. Elon Musk wants to compete against Google, Openai and Anthropic. Your latest model, Grok 4has received excellent scores in the benchmarks, although its impact has not been the same as that of Chatgpt or Gemini. Beyond that, XAI has a small big problem: AI is expensive and spends money in abundance. XAI has spent billions of dollars in data centers (Some with 200,000 gpus nvidia hopper) And he intends to create a superordinate, Colossuswith a million GPUS Blackwell. The problem, of course, is to get between 50,000 and 62.5 billion dollars that would cost this transactionespecially after recent controversies with Grok. Not to mention that maintaining and developing Grok costs Xai about 1,000 million dollars per month. For us to get an idea, it is estimated that XAI will spend $ 13,000 million in 2025, but will only generate 500 million dollars in revenues. Cover image | Gage Skidmore edited by Xataka In Xataka | Elon Musk said the electricity network would begin to fail in 2025. For once, it has given in the nail with its prediction

We are champions in productivity with medium and large companies. The problem is that with SMEs we lose by win

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The OECD data has been putting the red lantern to Spanish productivity decades. However, that perception does not Low productivity in Spain It does not fully adjust to the reality that reflect the Recent OECD reports. Such and as they highlight in The confidentialalthough the global data show a very discreet increase, companies of between 10 and 250 workers exceed productivity to the average of their peers in the OECD. However, the big problem is that 95.1% of Spanish business fabric is made up of SMEs with between 0 and 10 employees. What the OECD says about Spain. The OECD, in Your productivity report Of 2024, it evidences that the average annual growth of the hour per hour worked in Spain has been 0.5% per year, while the OECD as a whole has registered an average of 1.2%. That places the country clearly below the average of the Club of developed economies. Despite this scenario, a BBVA Foundation Analysis On the evolution of the total productivity of the factors (PTF), which combines the productivity of labor and capital to leave a photo closer to the reality of companies, says a growth of 0.9% interannual of this parameter. Which reinforces the conclusions of the OECD on the growth of productivity in Spain, which is like the Second country with greater growth of productivity in the last two decades. However, beyond the global data of Spain, the graphics of the OECD productivity study value the largest companies already medium -sized as a productivity engine in Spain. Thus, the OECD evidence that the mismatch in productivity is not so much between Spain and Europe as a whole, but among the different company sizes within the country itself. Total productivity of the factors (PTF) by country. Source: Productivity Council of Spain Microenterprises: many and unproductive. As recognized From the report From the Productivity Council in Spain, the most relevant feature of the Spanish productive fabric is that 95.1% of Spanish companies have less than ten employees, confirming that microenterprise is the standard in Spain, not the exception. According to the OECD dataSpanish microenterprises generated in 2023 an added value of $ 56,990 per worker, compared to $ 108,356 per employee generated by large companies. That means that large companies are 90% more productive than SMEs. The productivity of microenterprises is 15.3% below the OECD average and represents one of the main ballasts for the national average. He OECD diagnosis On microenterprises it is clear: having many very small companies limits the Productivity improvements and investment capacity. Medium companies approve with note. The highlight of the international comparative analysis is that, according to the OECD, “Spanish medium -sized companies have a productivity higher than the EU average, standing above the other advanced countries in their category.” In percentage terms, Spanish companies of 10 to 49 employees are 8.7% more productive than the OECD average; those of 50 to 250 employees 9.1% and those of more than 250 employees 5.2%. In other words, only 4.9% of companies in Spain would be above the OECD average, occupying avant -garde positions in terms of competitiveness in markets International The challenge: increase size and investment. The recipe that the OECD gives to Improve productivity Of these microenterprises it is clear, but it is not simple to apply: it is necessary to seek improvements in productivity through Investment and innovationimproving the value added by employee so that the business fabric gains size. According to 2023 dataSpain is at the tail in investment in machinery, ICT assets and i+d. Precisely, a Report of the Bank of Spain He pointed to productive investment as the key to business growth. The report emphasizes that private business investment had not managed to recover prepondondemic levels, while public investment in this area had recovered and grew at a good pace. 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 | Unspash (Sherman Yang) We believed that in Spain we were not productive, but medium and large companies exceed the OECD average. That is the problem

The one between Chinese companies

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The artificial intelligence (AI) resides in the heart of the pulse currently supporting the US and China. The government led by Donald Trump is doing everything in his hand to prevent avant -garde chips for ia that design Nvidia, AMD, Intel or brains, among other US companies, They arrive in the country led by Xi Jinping. Meanwhile the latter is dedicating An enormous amount of resources to the development of its own advanced GPUs and AI models. The curious thing is that the most level competition in the AI ​​sector does not support only the rivalry of US and Chinese companies. During the last four years the subsidies of the Chinese government have led to that the companies that are dedicated to the development of great AI models. The Chinese market is very large, and, of course, the World Cup is even much more, but this circumstance has not avoided that conflicts between some Chinese companies emerge. The one who is freeing Huawei and Alibaba is especially bloody. Huawei denies having copied Alibaba Ren Zhengfei, the founder and general director of Huawei, made at the beginning of last June very interesting statements during a conversation with a Chinese journalist from the people’s newspaper. According to this executive “Las Gpu Ascend de Huawei are still a generation behind the chips for the US”. A priori it is surprising that the head of this company publicly publicly recognizes as this. His words They arrive at a very important moment For the company that leads. And it is that just two months ago Huawei released two new chips for AI, the GPUs Ascend 910d and 920with which he aspires to go Learning Nvidia, leading the leadership in performance in AI applications that hold both in China and beyond the borders of this Asian country. In fact, Noah Ark Lab, the Huawei Research Division, already has its first large -scale model implemented entirely on the Ascend chips. Honestagi has published a study in Github in which he maintains that there is a correlation between Pangu Pro Moe and Qwen 2.5 14b For this company, the development of a large language model in whose training and inference has only used its own chips, and not the NVIDIA GPUs, it is a success. However, the arrival of the last review of his Pangu Pro Moe model (Mixture of experts) He has not been exempt from shocks. And is that, According to Reutersa research group known as Honestagi has published a study on the Github platform in which it maintains that there is a very evident correlation between the Pangu Pro Moe de Huawei and Qwen 2.5 14b of Alibaba. This simply means that Noah Ark Lab could have trained its AI model using Qwen 2.5 14b instead of starting from scratch. If this, this division of Huawei would have violated the copyright of Alibaba. However, this is what honestagi defends in your report, but Huawei hasn’t taken it to deny it. And is that This last company holds That PANGU PRO MOE does not strengthen the incremental training from the models of the other manufacturers. There is another important fact that we are not overlooking: Huawei ensures that its development team has strictly adhered to the open source license requirements for any third -party code that it has used, although it has not specified what open source models it has used. On the other hand, Alibaba at the moment has not ruled, but presumably will announce his opinion about this conflict during the next few days. It will be interesting to verify how this Liza is resolved between two of the most important Chinese companies in the AI ​​domain. Image | Huawei More information | Reuters In Xataka | The Chinese company Alibaba has an AI to detect pancreatic cancer. It is so good that the US has accelerated its approval

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