candidates

We have small and giant black holes, but the intermediate ones do not appear. Now some scientists have designed a method to search for them and they already have two candidates

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Today astrophysicists have a lot of information about black holes. They have even been photographed. However, there are only two types of black holes for which a multitude of evidence has been found: supermassive black holes, which are colossal in size, and stellar black holes, which are formed by the collapse of a star when it runs out of fuel. Supermassive ones usually have masses between 100,000 and 10,000 million solar masses. The stellar ones are much smaller, with approximately a mass equivalent to that of 3 to 100 suns. So what happens in the intermediate range? Don’t black holes of intermediate mass exist, between 100 and 100,000 solar masses? This is a question astronomers have been asking for a long time. Theoretically, they could exist, but no evidence has been detected. Now, a team of scientists from Yangtze University in China, has devised a method which could be useful to find them once and for all. Gravitational microlensing of fast radio bursts. These scientists have used a method that is based on searching for fast radio bursts that have experienced a gravitational microlensing deformation. These deformations are caused by massive objects that stand between the path of the blast and the Earth. By studying the effects of these disturbances, its mass can be calculated. For this reason, these scientists have analyzed a catalog of these bursts, looking for those that may have been distorted by gravitational microlensing and have been left with two candidates whose mass would correspond to an intermediate black hole. The best? They also fit with primordial black holes, so they could even serve to better understand dark matter. Clarifying concepts. Now let it be understood. Fast radio bursts are short bursts of radio waves, which come from far away, beyond the Milky Way. There is no consensus on its origin, but many have been detected, it even seems that there are a large number in a single day. For their part, gravitational microlensing are formed when a very massive object comes between a light source and the Earth. It is so massive that, due to the action of gravity, it doubles space-time and, with it, the path of light that reaches Earth. As a result, multiple and/or magnified images may form. The point is that fast radio bursts themselves can be altered by gravitational microlensing when a very massive object crosses their path. Gravitational microlensing Canadian Hydrogen Intensity Mapping Experiment (CHIME). This is a Canadian radio telescope initially designed to map the presence of hydrogen in large fractions of the observable universe. Thanks to its large collecting area and field of vision and its bandwidth, over time it was seen that It was also very useful to detect fast radio bursts. They are very fast, but when observing so much sky at once they do not go unnoticed. For all this, the authors of the study that has just been published have analyzed the CHIME catalogwith special attention to bursts that at some point have suffered a disturbance by gravitational microlensing. Two candidates. Of all the distorted bursts they found, there were two whose size matched possible black holes of intermediate size. One had between 539 and 609 solar masses and the other between 1,544 and 2,571 solar masses. Curiously, there were no galaxies or galactic clusters around it. When black holes form through physically well-known collapse processes, they are usually in the centers of galaxies. However, when they are isolated, as is this case, what is expected is that they are primordial black holes. That is, black holes that formed in the early stages of the Big Bang, before there were even stars that could collapse. something unexpected. These scientists expected to find intermediate black holes, but they may also have found evidence of the origin of dark matter. One of the hypotheses about this mysterious matter that makes up most of the Universe is that it is partly composed of primordial black holes. The problem is that the existence of primordial black holes has not been proven. With this new study, two birds could have been killed with one stone: demonstrating that intermediate mass black holes and also primordial black holes exist, in turn helping to unravel the dark matter mystery. Without a doubt, it is a cosmic carom that is worth continuing to investigate. Image | THAT | POT In Xataka | Stephen Hawking made a prediction about black holes in 1971. A new signal has proven him overwhelmingly right

We have found a hidden “switch” of Alzheimer’s. And the best thing is that we have promising candidates to put it out

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Alzheimer’s is still one of the biggest medical challenges of our century, since we are facing a disease with a very important incidence and above all that entails a large number of social problems around it. Here research over the decade has focused on the accumulation of protein plaques beta-amyloid in the brain to explain it. However, the scientific community has begun to pay much more attention to an equally devastating factor: neuroinflammation. A new gene. Science continues to advance and one of the latest discoveries that has been made lies in the APOE4 genewhich is a known risk factor for Alzheimer’s disease. And it is no wonder, since people who inherit this variant have a much higher probability of developing the disease, and often do so at younger ages. But now a research team has been investigating exactly why having this genetic variant predisposes one to Alzheimer’s, and the answer appears to lie in chronic inflammation. More specifically, in APOE4 carriersthe brain’s immune system overreacts, creating a toxic environment that damages neurons and accelerates cognitive decline. And at the center of this inflammatory storm, researchers have indicated to the enzyme cPLA2 as the main culprit. It’s a challenge. Knowing that cPLA2 plays a crucial role in the inflammatory cascade associated with Alzheimer’s, the objective is logically set turn it off permanently. However, inhibiting enzymes in the brain is not an easy task, since the brain is very well protected by the blood-brain barrier, which acts as a true customs control that allows only some very selected elements to pass through. That is why creating a drug that passes through it without causing side effects in other parts of the body is a great challenge. The strategies. To reach this goal, science is now doing computer simulations of thousands of molecules to be able to find those with the exact shape and properties to “fit” into the cPLA2 enzyme and deactivate it. Once this ‘key’ that fits the enzyme that looks like a lock is identified, candidate compounds can be refined for testing in animal models. Until now, research already has several selective cPLA2 inhibitors that have proven to be powerful and capable of penetrating the brain, making it possible to reduce neuroinflammation in the models studied. Personalized medicine. The study, supported by multiple leading institutions such as the National Institute on Aging and the Alzheimer’s Drug Discovery Foundation, is not only relevant for the design of the new drugs, but also for its personalized medicine approach. Looking back, clinical trials for Alzheimer’s have treated all patients equally, often resulting in million-dollar failures. But now, by targeting these new cPLA2 inhibitors specifically at neuroinflammation fueled by the APOE4 gene, scientists are creating tailored treatments for the most biologically vulnerable patients. Although we are still in a very early phase of research, it may take years to see a tangible result. Images | Robina Weermeijer In Xataka | Alzheimer’s no longer seems irreversible: science allows brains with advanced damage to recover for the first time in animals

On its way to increasing military production, Spain already has two new candidates: Seat and Ford

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Europe rearms. The war in Ukraine and the constant pressure from the United States Government for European countries to increase their defense spending has driven a rearmament that crosses Europe and has raised blisters among the nations that invest the least in defense. One of them is Spain. But Spain, like many other European countries, is already looking for spaces to increase its weapons production. And he has an idea: car factories. What has happened? Spain is already considering using car factories to promote its military modernization programs. That’s what it says Expansiona medium that points to internal Defense sources as the voices that advance the conversations that the Government would have had with companies such as Ford and Seat. According to this medium, the conversations are part of the implementation of “the budgets and sizing of the new military modernization programs (PEM) that are going to be launched.” The objective is to define the budget to be used and where it could go, with the intention of presenting them around summer and assigning them at the end of the year. Seat and Ford? That Seat and Ford are the first to be mentioned makes a lot of sense. With its conversion towards the electric carMartorell planned to reduce staff and resize its facilities. In 2022 they estimated a surplus of almost 2,000 direct jobs and with a commitment to new technology, the El Prat plant focused on gearboxes is one of the most notable. For its part, Ford seems to be looking for a new future to its Almussafes plant or, at least, part of it. The company has significantly reduced its production and, although it has confirmed the assembly of a new modeleverything indicates that Ford does not fully trust the plant. In fact, the latest rumors suggested that The Chinese company Geely wanted to take over part of the facilities. With a view to Defense. Although there is now open talk of converting part of the plants of these two companies into spaces to produce military material, the truth is that this idea has been floating around Seat for a few weeks. Last March it already emerged that Seat negotiated with Indra to manufacture light military vehicles. The agreement, they assured in Five Dayswould have the approval of the Government, which already stated last year that the reconversion of the automobile industrial sector could involve, at least in part, supporting Defense. It also coincides with the increase in Indra’s investments in the military field. Not only in Spain. Reconditioning automobile facilities to produce war material is not an idea that was born in Spain, far from it. In Germany, there have been negotiations that one of the Volkswagen plants begins to manufacture tanks. Last year there was also talk of Renault’s turnaround, pioneer in tank productionto manufacture drones bound for Ukraine. And not just vehicles. Last March there was already talk of the possibility that Volkswagen will start producing parts for missiles at its Osnabrück plant, according to Financial Times. The intention is that trucks would leave their facilities to transport them but also basic equipment such as shuttles or electrical generators to activate them. A key moment. If governments are looking with eager eyes at European automobile plants, it is because they know that the industry is not going through its best moment. The conversion to electric cars points to massive layoffsespecially because they lack a good part of the mechanical components that are present in any combustion car. Furthermore, its simplification points to shorter assembly times, a greater presence of robots and less human capital. These massive layoffs could be saved, at least in part, with the reconversion of these plants. It must be taken into account that manufacturing in Europe is more expensive than doing so in Asia or countries with preferential trade agreements with Europe such as Morocco either Türkiye. This is moving part of European production to these countries. Especially the smaller ones that are more complicated to make profitable. Spain is of the countries that are suffering the least from the blow because, at the level of salaries and energy costs, we are more competitive than plants from Germany or France. However, both Volkswagen with Seat and Ford, Stellantis either mercedes They have dropped that they are willing to reduce their workforce and production in our country. Photo | Caesar and seat In Xataka | Ford invested 1 billion to produce electric cars in Europe. Now it will invest money in laying off 1,000 employees

It has taken us 30 years to find 6,000 exoplanets. TESS just found 10,000 candidates in one fell swoop

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Since the first exoplanet was detected in 1992, have been discovered 6,273 planets outside the solar system. However, detection methods have become so refined that that number is expected to skyrocket in the coming years. Just look at the list just presented by a team of scientists from Princeton University, which includes more than 10,000 new candidates. Many may not be exoplanets when they are reviewed, but the fact that so many candidates have been found is already a good sign. A very well spent first year. This new list It comes from the analysis of the first year of data from NASA’s Transiting Exoplanet Exploration Satellite (TESS). In total 11,554 possible exoplanets have been found. However, 411 of them were only captured in one transit, so their orbital parameters could not be calculated. Another 1,052 had already been confirmed as exoplanets in the past. The remaining 10,091 do make up a list of possible exoplanets that had not been noted before. Transi what? Transit is one of the most useful methods of exoplanet detection. Typically, it is much easier to detect the star around which a planet orbits than the planet itself. After all, stars are bigger and brighter. However, observing the star itself can give us data on the existence of planets orbiting it. And when these pass between the star and the telescopes that observe it, their light is interrupted. Like when a cloud passes in front of the Sun or a very large moth flies in front of a light bulb. We know that planets revolve around their stars with a fixed period. For example, it takes the Earth 364 days to orbit the Sun. When these light interruptions are seen cyclically, it can be assumed that there is a planet orbiting the star. That’s what TESS detects. The advances of TESS. Until now, exoplanets have been searched around very bright stars. However, TESS has the ability to also study stars with weaker illumination. This allows us to do a much more complete analysis of the sky and find many more candidates for exoplanets. In fact, a lot of data is generated at once, so it has also been necessary to use a machine learning algorithm to analyze it all and find the real candidates. It must be confirmed. There are other reasons why a star’s light could be interrupted. For example, eclipsing binary stars either solar activity itself. That is why the next step, once a list of possible exoplanets is found, is to analyze them carefully to rule out those other possibilities and check which ones really are. It can still improve. These scientists are now ready to also begin analyzing data from the second year of TESS observation. In this case, some changes have been made in the study methodology, such as studying stars that are observed at different times of the year. This way, exoplanets with a long period can also be detected, which sometimes go unnoticed if they are not observed at the right time. When the period is very small, they pass many times between the star and the telescopes, so it is easier detect traffic. If the period is long, it is difficult to detect them if you do not look at the right time. With this in mind, the study’s authors hope to double the list of candidates. If this time there have been more than 10,000, the next time we have news about TESS there could be many more. Image | POT In Xataka | How the solar system was formed: for the Earth to be born, a star had to die first

More and more work interviews are with an AI and more and more candidates refuse to have them

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One of the sectors in which AI is penetrating more quickly is in human resources. We have been talking to you for months that many candidates looking for employment were surprised that His interviewer was an AI. They were not isolated cases, more and more companies are using in their selection processes and there are already those who are refusing to be interviewed by a bot. What’s happening. If you are looking for work, it is possible that the interview is made by a bot fed by AI. It is a growing trend that arises from a problem: the departments of human resources are increasingly limited They often have to interview hundreds of candidates. Using AI to filter the best profiles is presented as a solution. The problem is that candidates are not liking anything. Candidates against. They tell it in Fortunethere are more and more interviews made by AI and the reaction of the interviewees is being quite negative. “I do not want to work for a company in which the RRHH head does not even take the trouble to spend some time to talk to me,” said Debra Borchardt, one of the interviewees. He did not have to wait long to form an opinion, as soon as he connected he caused him rejection: “I don’t like this. It’s horrible,” he recalls. The truth is that the experiences describing some candidates are quite mediocre, with bots that limit themselves to reciting the curriculum and ask questions, but are not able to answer if the candidates have a doubt. Sometimes they even begin to hallucinate and They repeat questions without stopping. This makes many candidates get out of the interviews before they finish and others reject participating in selection processes with AI. Companies in favor. For companies that are using these interviewers, the experience is being more than positive. Adam Jackson, CEO of Braintrustthe company that is dedicated to creating these bots, assures Fortune that there is no generalized rejection by the candidates. If “our clients would not find the tool useful (…) and we are not seeing that, but quite the opposite.” For those responsible for hiring, AI saves them having to interview hundreds of candidates “ago 100 interviews and tells you what have been the best ten, there the human takes control,” says Jackson, although he also recognizes that the interviewers are limited. Increasingly. According to summarize data91% of those responsible for hiring used AI in their work especially to summarize curriculum and schedule interviews. IA interviewers are the next step and more and more companies are adopting them. Although most cases reach us from the United States, there are Spanish companies that They are using the Telefónica Tech And there is also startups creating solutions of this type. It seems that we like it or not, the interviewers AI They have come to stay. Candidates also use AI. It is not just a human resources thing, there are also candidates Using AI to overcome selection processes. In Reddit we can read from cases of people who admit to having used chatgpt in an interview even human interviewers who have encountered candidates who They responded with the help of a chatbotwhich caused him to discard it from the process. Image | Julia M Cameron, Pexels In Xataka | Someone used AI to overcome an interview on Amazon. His success has made Google see his candidates face to face

It is “very open” to acquisitions in AI. These are our candidates

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Tim Cook admitted yesterday, in The call with investors After the presentation of quarterly results, which Apple is “very open” to acquisitions that accelerate its road map in AI. A historical confession for a company that has never spent more than 3,000 million on a purchase. Why is it important. Apple has been delayed for two years with respect to its rivals in AI. With the new postponed Siri and the pressure of competitors and investors, Cook needs movements. His Budget of 500,000 million for investments in the United States He gives margin for a great operation. The context. During the call, Cook explained that Apple has already bought “around seven companies” this year, although he acknowledged that they are “small by nature.” The CEO also confirmed that they are “reallocating a considerable number of people” to focus on AI functions and that they will “significantly increase” investments. The main candidates 📍 Perplexity (Estimated assessment: 18,000 million dollars) In favor: Bloomberg He already reported a few weeks conversations between both parties. His approach – squeezed with AI – would fit perfectly with Apple’s problems The possible end of Google payments By safari. Against: Your model is based on using LLMS of third parties (OpenAi, Anthropic and Company), does not develop its own fundamental technology. And Apple usually prefer to control the entire chain. 📍 Anthropic (Estimated assessment: 170,000 million dollars) In favor: Philosophically is aligned with Apple in the AI approach, prioritizing security and privacy. Claude It is considered the most “safe” model in the market, especially among the big ones. Against: The connections that with Amazon (Invested 8,000 million in it) and regulatory risks make it especially complicated. In addition, it is too expensive (its assessment is this week) even for Apple. Anthropic would cost 56 times more than the biggest purchase made by Apple: Beats. 📍 Mistral (Estimated assessment: 6,000 million dollars) In favor: European company with less regulatory complications. Develop your own modelsit already has products in the market without the need to go to others and has experience in AI Edge (local), key to Apple’s strategy and vision. Against: Less technological maturity than OpenAI or Anthropic. In addition, its ecosystem is mainly European, somewhat distant land geographically and sidererily distant in regulatory ideology for Apple. Between the lines. Tm cook did not want to answer what parts of the AI chain could end Commoditized. He said “that would reveal part of our strategy.” A clear track is that Apple plans to control differentiating elements so as not to have to depend on external APIS. Other possible candidates Although with very remote options. 📍 Hugging Face (Estimated assessment: millions) In favor: The ‘Github of the AI’ with the largest community of developers. Control the distribution of models and tools that Apple needs for its ecosystem. Against: Business model still immature and too focused on open source for Apple’s taste. 📍 COPE (Estimated assessment: 5,500 million) In favor: Specialized in business and models optimized for efficiency, some perfect fit in mobile devices and local computing. It also has fewer links with technological giants. Against: Lower brand recognition than its competitors and a main focus on B2B, unlike an Apple almost completely delivered to the consumer market. 📍 Runway (Estimated assessment: 1.5 billion) In favor: Lead the AI generative video, perfect for Apple’s obsession with visual content. And would revitalize the suite Apple creative, starting for final cut. Against: Very specific niche. It does not solve the fundamental problem of Siri and conversational assistants. The discards Yes, but. Apple’s history invites prudence. Eleven years ago since its greatest purchase, Beatsand “only” was for 3,000 million. Minutiae compared to what almost any investment requires today. That said, the current pressure is unpublished. It is the only company of the “seven magnificent” technological in red numbers this year: -15% in the stock market. The threat. The danger to Apple is not in acquisitions, but in time. Run against him. Openai will present soon GPT-5Meta has thrown the house through the window to capture the best talent, Google continues to integrate an increasingly powerful gemini in its entire ecosystem. Each quarter that happens with a dysfunctional Siri and without a really decisive Apple Intelligence is lost terrain. In Xataka | After almost a decade with the Apple Watch I have spent a Garmin. And I have understood what I was losing me Outstanding image |

Canva demands candidates for their use

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The use of artificial intelligence in Personnel selection processes It is generating an intense debate in the technological sector. On the one hand, companies are shown anxious to implement ia in their processes and encourage their employees to use this type of tools to improve your productivity. On the other hand, some companies consider a trap that candidates resort to tools from AI during work interviews or in the selection processes. Between so much contradiction, in Canva,The Saas de Design Service, have decided to make the use tools of AI into an essential requirement for their future employees and invites them to use them during their technical tests, as he collected The Register. Canva changes the rules. Canva has taken a radical turn in its personnel selection process. Now, candidates to cover development positions must use programming assistants based on artificial intelligence during technical tests, As explained Simon Newton, Canva Platform Chief in a statement. This decision is based on the fact that “almost half of the Canva Border and Backend engineers use a programming tool assisted by AI” daily, which converts the Use of AI tools in something expected and fundamental for the work they will develop in the company. “We believe that AI tools are essential to maintain productivity and competitiveness in the development of modern software.” Change of criteria. The development manager confessed that there has been a change in criteria in this regard. “Until recently, our interview process demanded candidates to solve programming problems without the tools they would use at work,” said Newton. By prohibiting the use of these tools, Canva realized that I was not evaluating correctly The skills of their candidates maintaining technical criteria that had become obsolete, forcing them to use them clandestinely. “Instead of fighting this reality and trying to control the use of AI, we decided to adopt transparency and adapt to this new reality. This approach gives us a clearer idea of ​​its real performance by joining our team,” said Newton. Internal discrepancies. Despite the logic of the reasoning offered by the head of Canva, not all of its employees They have taken good The change of criteria in interviews. Some of their engineers assured that the selection tests had become “sessions of Vibe Coding“ However, Newton has wanted NEW WORK CONTEXT. “We continue to evaluate the foundations of computer science through the new process and we hope that engineers assume the full responsibility of any code they produce, whether they have written them themselves or with the help of AI,” Newton wrote in his statement. Criteria disparity with AI. Many companies continue to consider that the use of artificial intelligence in technical interviews is an unfair advantage or even An unacceptable trap during the selection process. In some sectors, it is feared that candidates can hide their lack of real knowledge by relying on AI to overcome the evidence, which has led some companies to demand face -to -face interviews to avoid its use. In fact, paradoxically, even companies like Anthropic, which Claude develops, has asked its candidates that do not use the To fill in applications for vacancies. On the other hand, technology companies such as Duolingo and Shopify are actively promoting the use of artificial intelligence Among its employees and encouraging them to form In its use. This trend indicates that, in a short time, other companies could follow the steps of Canva and assess the domain of AI as an essential skill to access their work teams. In Xataka | The greatest fear was that AI took our work. The reality is that they are replacing those who are learning to work Image | Unspash (Swello)

You will do your next job interview with a robot. That dehumanization is unraveling candidates

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A young woman named Ken public In its Tiktok account (@its_ken04) a 25 second video that quickly went viral. In him this user showed how he was being interviewed by Alex for work. The problem is that Alex was not a real person, but a virtual avatar with AI. One that also began to hallucinate and demonstrates that the dehumanizing experience of looking for work is going worse. Robots -made interviews. Both recruiters and candidates They use AI to advance increasingly broken selection processes. The consequences for each other, yes, are very different. The candidates who face the job search process already used to meet a dehumanizing experience, with rough processes and lack of response by recruiters. Now things are going worse, because AI is doing those even more terrible processes. @its_ken04 It was genuinely so creepy and weird. PLEASE STOP TRYING TO BE LAZY AND HAV AI TRY TO DO YOU JOB !!! It gave me the creeps so bad #fyp ♬ Original Sound – STIs Ken 🤍 My interviewer alucina. Ken counted in 404 average His recent experience when interviewed by a bot called Alex and developed by the company APRIORA. During the interview Ken, who was looking for work near his home in Columbus, Ohio (USA), saw how the virtual avatar stuck and repeated the phrase “Vertical Bar Pilates” 14 times in a row for no reason. A spooky experience. Before the interview, the company warned it that AI would be used during the selection process. Despite that notice, for Ken the experience was “spooky and I was scared. I did not make any funny until I published it in Tiktok and the comments made me feel better.” The video already has more than 3,600 comments, and in all of them the support to Ken was unanimous. And in many cases the conclusion was the same. I will not interview myself with an AI. Ken already made it clear that “if another company wants to speak with an AI I will simply decline that offer.” Who commented on their video published similar answers. “If you don’t take the trouble to interview myself, I will not take the trouble to try to work there,” said one of the comments. In another, a user who had responded to an offer for a Human Resources department, asked “why would I want to work in human resources in a company that is not even worthy to have a human interaction?” The promise of recruiting robots. Aguriora was founded in 2023 and its managers promise that thanks to their robotic recruiters, companies can hire “87% faster” and conduct “interviews 93% cheaper” because several candidates can be interviewed at the same time. One of the co -founders, Aaron Wang, explained in Forbes for months to “the candidates prior to interviews in many cases, because that reduces their anxiety and allows them to perform in the best possible way during the interview.” @PetobSesed777 Should I Email Them? I was expectating to Real Human. They Didnt tell me ahead of time theyd use ai. #ai ♬ Original Sound – Freddie Generalized rejection of the IAS that do work interviews. That does not seem to be the feeling of those who are interviewed. In Slate They narrated the experience of a videographer named Tyler Jensen, who was also found being interviewed by an AI that began to get stuck. Other users who have gone through the process have ended up publishing memes and false and satirical videos In Tiktok trying to ironize about an increasingly dehumanizing experience. Some even are found by surprise with which those who are interviewing them is an AI. In all cases, the sensation is the same: disappointment for the growing dehumanization of a process that was already hard and usually demoralizing. What do experts say. Mike Peditto, a practical expert consultant for interviewers, explains that technology can certainly help filter candidates. In fact, it made it clear that this will go more: “It is becoming something gigantic. I think we are going to a future in which (the work interviews carried out by an AI) will be generalized.” But he also admitted that “there is a slow will to adopt by job seekers, which I understand perfectly.” An industry contaminated everywhere. The job search processes have long been corrupt. Interviews are only part of the work, because candidates too They try to save work and apply to many offers at the same time with CV that they make with the help of the AI ​​and that customize for each job. As if that were not enough, candidates “train” Chatgpt simulates being the recruiter. The AI ​​is everywhere, and although it can certainly be helpful, it is generating even more problems for either side of the equation. And the algorithms fail. We have already seen how to delegate certain processes so that it is the machines and algorithms that take care of them can be dangerous. It happens of course in the field of job search, where for months some companies They use AI systems to analyze and filter the curriculum vitae with the so -called monitoring algorithms of candidates or ATS (Applicant Tracking Systems). A study by the University of Washington He indicated how AI systems favor 85% of the time to those CVS that belong to names of men traditionally used in Caucasian men. In fact, that same study indicated how black men were the great harmed, and were rejected by these systems almost 100% of the time. Image | APRIORA In Xataka | If your chair holds in a job interview, it is no accident: they are evaluating more than your curriculum

Someone used AI to overcome an interview on Amazon. His success has made Google see his candidates face to face

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There is a thin line Between genius and deception. With the arrival of artificial intelligence, this line is fade even more and the scope of work interviews are a good example of this. A student exceeded a technical interview of Amazon helped with AI and his success has had consequences: someone gave him away to his university, he has created a company so that others use AI in their work interviews and Google will stop doing their work interviews remotely in the face of increased the use of AI by the candidates. The debate on whether the use of AI has been opened in a job interview It is cheating Or it is to use the tools at your fingertips to find a solution to the problem. Entrepreneur or cheater? According to published CNBCChungin “Roy” Lee is a 21 -year -old computer student at Columbia University who got some work interviews in large technological ones such as Amazon, Meta or Tiktok. During the remote technical interview with Amazon, the student used an AI tool that he had created with which he could easily answer the programming questions and tests asked for the Amazon recruiter. “Today, everyone program with the help of AI,” said the young student to CNBC. Technical tests are an essential requirement to access engineering positions in these large companies so the young man had no choice but to prepare conscientiously as can be checked on his profile of the website of the website Leetcode training. Such and As you collect Gizmodothat training was one of the hardest tasks that Lee faced. “It was one of the most unhappy experiences I’ve had programming. I felt that I had to do it. It was something I needed for a job in a large technological company, and there was so much to learn, so much to memorize, and so many random problems that I could wait for me to ask me. He made me hate the programming.” According to the student, the problems that arise in the interviews are very unlikely and more a “theater” approaches in which the interviewee pretends that he has never seen that problem, when in reality he has already studied and memorized his solution. “They are not representative of what you do as a programmer at work,” said the young man. To lighten this “technical procedure” the student used a tool he had developed to successfully overcome his interview with Amazon. The test result was a success and ended up receiving a job offer in the company, although the young man rejected it since the interview was only a way to test his tool. A video with the recorded test that hung on your YouTube account (now not available) and on the tool website are proof of this. Chivatazo and university file Days after his technical interview, Lee received a notification from the University of Columbia informing him of a disciplinary hearing that the teaching entity had opened to the second year student, as you can read in the letter that Roy Lee has published In his X profile. As published by Gizmodo, the University showed its rejection of the use of AI tools as “support” to these technical tests, which it considered as a trap. “Amazon has a long tradition of collaboration with Columbia Engineering … and we are deeply worried that situations like this occur. We trust Columbia will take the appropriate measures regarding this student and we hope to continue with this long collaboration,” says the university in its writing. The young man, far from being concerned about the measures undertaken by the entity, offers the tool so that other students and candidates can use it in their interviews. Face to face in technology Due to the increasingly frequent use of these AI tools during interviews, great technological ones are thinking about again doing these technical interviews in person. Such and As I pointed out Cnbc en One of the latest meetings of L sundar interviews in person. This request contrasts with the fact that, only a few months before, the own Google CEO admit That, thanks to AI, around 25% of the Google code was generated by artificial intelligence. The use of AI is increasingly present in selection processes. From the Use of candidate monitoring algorithms (ATS for the acronym in English of Applicant Tracking Systems), that They automatically select the curriculum of the most appropriate candidates, to methods of training for candidates Based on chatgpt or, like Roy Lee, the Use of AI during interviews remotely The use of AI tools in selection processes, especially by candidates, has opened A debate on social networks On whether this is a lack of ethics, or is as valid as any other tool with which you work daily. In this debate, there are those who see right to use these tools during the interview whenever it is done transparently, since it shows that the candidate has resources To find the solution to a problem. “I remember that once, more than a decade ago, I said in an interview: ‘I do not know that specific command, but there is Google for what we do not know.’ assures a user which raises an equivalence between the use of AI and the search engine. Others, on the other hand, ensure that the objective of these tests is precisely to check the programming skills. If it is altered using AI, loses its reason for being. In Xataka | If your chair holds in a job interview, it is no accident: they are evaluating more than your curriculum Image | Pexels (Anna Shvets)

Universities do not supply candidates

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Artificial intelligence is putting in check to the university systemthat is not being able to form the necessary rhythm to the thousands of candidates who are demanding companies. A study of Indesia, association aimed at promoting the use of AI in companies and SMEs, points out that up to 5,000 job offers related to AI and data science were uncovered in 2023 due to lack of qualified profiles. Much demand, few candidates. According to data from the report ‘The future of talent in artificial intelligence and dates in Spain’ of Indesia, almost half of the job offers in AI run the risk of not being able to cover, placing this sector as the most affected by talent scarcityfollowed by cybersecurity and cloud. The roles that record greater difficulty in covering their vacancies due to the lack of qualified personnel are Data Architect, Data Engineer, AI/ML Engineer, NLP Engineer and Computer Vision Engineer. Núria Ávalos, General Director of Indesia, declared to The country that “many degrees are now emerging, but until these people are in a position to assume positions as a data architect there are a few years.” That will take its toll to the industry. The report estimates that, if the accelerator is not chopped in the formation of new talent in these matters, during 2025 34.5% more professional will be needed than in 2024. That is already a very complicated challenge to reach by the deficit that was already recorded last year in professionals from these areas. According to data collected In a study of the Faculty of Economic and Business Sciences of the Pontifical University Comillas, up to 75% of the digital transformation projects fail due to the lack of training of employees or their qualification. From Indesia they estimate that the education system is able to train about 6,000 new professionals a year, which is a very low pace taking into account the demand for demand of this sector in the next five years. Ávalos pointed out that “the positions that are now not covered are for more experienced profiles, people who can incorporate and make a digital transformation into a company.” That is, people with high qualification in a relatively recent area, but who has had a very fast evolution. What do universities offer? On the other side of the shore, the universities responsible for training these profiles have not reacted with sufficient speed, and only one third of the 90 universities in Spain offer degrees or careers related to data engineering or with the Focus on artificial intelligence. Silvia Terrasa, director of the Computer School of the Polytechnic University of Valencia (UPV), assured El País that the process to establish a new university degree that responds to the needs of companies. “It is quite tedious. And then the first promotion does not come out until four years later,” justifying that a gap between the offer of jobs and candidates with adequate profiles. The problem is not the students. One of the biggest problems that universities are facing is the personal lack of teaching to teach subjects in the field of data science and AI. It is a deficit of teachers that already crawls from the lower training cycles with the shortage of Qualified personnel in Stem subjects. The problem is aggravated when such a recent specialization is necessary in which, in itself, there is already a shortage of profiles. “We have no teachers to open more groups,” laments the head of the UPV computer school, pointing out that, if 120 seats are offered for their degrees, 300 students stay out due to lack of place and cannot expand them due to foul of teaching staff that imparts them. A solution proposed by Indesia is to turn companies into training centers, in which students can do guided practices for their specialized personnel. “They are increasingly open for their employees to give classes. They know that it enriches and that it is a way of seeing profiles that interest you and bring them as fellows during the practices,” Ávalos slipped. Importing talent from other branches. Despite the talent scarcity, three out of ten technology job offers are for positions related to data science and IA. That has made many graduates in computer engineering or telecommunications, end up occupying these positions since they have common areas of knowledge. Mathematics and Physical graduates are also recruited. Núria Ávalos pointed out that, in many cases, it is the companies themselves that, given the urgency to cover vacancies, form the candidates internally. “They are recycled in a year, it is not necessary to make a master’s degree. They are usually within the companies themselves.” In Xataka | A study reveals which technological profile will be the most wanted and best paid in 2025: interface designer Image | Unspash (Wonderlane)

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