data

create your own data center

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Z.AI has been the protagonist of big headlines in recent weeks, especially after the launch of its very powerful GLM 5.2 language model. Formerly known as Zhipu, the company has now just finished building a massive 1 gigawatt data center that, according to they count from Bloomberg, it will work exclusively with semiconductors made in China. To put it in context, it would be the most ambitious bet yet by a Chinese technology startup to completely dispense with Nvidia. They can’t buy Nvidia chips. Since January 2025, Z.AI has been on the US Department of Commerce’s entity list, which prevents it from legally purchasing Nvidia chips. The most curious thing of all is that this veto, far from stopping it, has pushed it to build all its future infrastructure relying only on national suppliers, according to they explained from Bloomberg. But it is not at all strange, since it is a movement that fits with Beijing’s strategy of reducing its technological dependence on Washington in the midst of the AI ​​race. In detail. As shared by the media, the data center has already begun to operate partially and is designed to train and deploy the company’s family of GLM models. With a power of 1 gigawatt at full capacity, from Bloomberg they assure that the facility could consume as much electricity as about 750,000 homes need, making it one of the largest data centers ever built by a Chinese artificial intelligence startup. For now, the company has installed at least 10,000 chips from China there, although there is no information on what proportion of the total planned capacity that figure represents. Between the lines. Although the media does not detail which company provides the chips, everything points to Huawei. Z.AI already presented its GLM-5.2 model in June, trained entirely with Huawei Ascend accelerators and without resorting to Nvidia hardware. The model also came out ahead of the rest in rankings of open source models such as Design Arena. The problem is that, according to they claim Bloomberg, Chinese chips like the Ascend still perform worse per watt than Nvidia’s current Blackwell, which means that one gigawatt of Chinese power is not equivalent, in practice, to the same computing power as one gigawatt consumed with Nvidia hardware. Added to this is a manufacturing bottleneck. From Tom’s Hardware they point out that SMIC’s most advanced and stable process (equivalent to a 7-nanometer node) is already operating at over 93% of its capacity, and that the shortage of domestically produced HBM memory limits how many accelerators Huawei, which last year shipped around 812,000 AI chips, can assemble. Bloomberg pointed In addition, citing a previous report, Huawei plans to manufacture about 1.6 million Ascend cores in 2026, enough for about 600,000 chips of its flagship model, the 910C, while Cambricon, another of Nvidia’s major Chinese rivals, has set a goal of half a million accelerators this year. In short: China can build data centers faster than it can make the chips needed to fill them. sweet moment. The Z.AI thing comes at the height of the pulse among Chinese AI startups. Its great rival, Moonshot, had to suspend new subscriptions to its platform last Sunday to prioritize the computing capacity of its current users, after the launch of his amazing Kimi K3 modelaccording to explained the company itself on social networks. Z.AI, for its part, is going through a good financial moment. And it is that according to sources consulted by Bloombergthe company is on track to reach $1 billion in annual recurring revenue after meeting its 2026 sales target this month, and has recently bolstered its capital with an IPO in Hong Kong and a subsequent expansion. The company’s shares have closed with an increase of 37% this Tuesdaycoinciding with the news of the new data center. A more ambitious plan. The Z.AI case is part of a much broader plan by the Chinese Government. And Beijing is preparing an investment of about 2 trillion yuan (about $295 billion) within five years to build a national network of AI data centers, with at least 80% of the technology coming from Chinese suppliers, according to they count from Tom’s Hardware. And in that plan, Z.AI, Moonshot, and the rest of the AI ​​startups that are beginning to deploy their weapons are included. Cover image | Z.AI and İsmail Enes Ayhan In Xataka | ASML sells the most important machines in the chip industry. Now everything indicates that they will be more expensive

Europe forces Google to open Android to ChatGPT and Claude, but the blow is that it will have to give up its search engine data to the competition

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The European Commission has ordered Google to open two of its greatest competitive advantages– Android’s access to rival AI assistants and the search data that feeds Gemini. They are two binding measures under the Digital Markets Act (DMA)adopted on July 16. Android must be open by July 2027, search data by January 2027, and no resources are stopping those deadlines. In detail. The first measure affects how a rival assistant can live inside Android. Right now, Gemini has privileges that no competitor shares: Keyword activation at the operating system level, not the application level. Access to the home button or navigation gesture as a gateway. Reading content on screen to respond with context. Executing tasks within other applications, such as sending an email or sharing a photo. Priority access to hardware and AI models built into the device. There are 11 points in total. Starting with the next major version of Android, ChatGPT, Claude or any other attendee will be able to claim the same treatment that only they have today Gemini. The second measure is the one that weighs the most for the business: the data of queries, clicks and results with which Google trains a good part of its LLM. From January 2027, rivals such as OpenAI will be able to access an anonymized version, under conditions that Brussels demands are fair and non-discriminatory. Google’s waterline. Between the lines. Google completed a few months ago the transition from Google Assistant to Gemini as Android’s default assistant, just before Brussels opened the file. The order arrived with Gemini already installed as a part of the system and not as just another application. Apple chose the opposite path: it negotiated before launching, proposed a monitored permit system and Brussels rejected it. Siri AI It still hasn’t reached the iPhone in the European Union. Google launched Gemini without asking permission and has discussed the conditions afterwards, with better results. Yes, but. Google, like Apple, alleges security and privacy reasons. Its head of global affairs, Kent Walker, has explained that opening screen reading and the execution of tasks between applications to any external service bypasses the filter that the manufacturers themselves apply today before granting these permissions. And now what. Google will appeal, but the appeal does not give it extra time: from the criteria established in the Apple case, the obligation is fulfilled while it is discussed whether it was legal to impose it. The United Kingdom and Japan, which are preparing their own digital competency frameworks, are presumably taking note of how “fair access” to a mobile is defined here. What Brussels sets about wake words or search data prices will not remain only in Europe. In Xataka | AI has destroyed traditional captchas. Google’s solution requires scanning a QR… and having its services installed Featured image | Xataka

The sea in Benidorm has warmed three degrees in just five years. The data is scary, but science has an explanation

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The waters of the Mediterranean have been undergoing drastic changes in temperature in recent years and the coast of Alicante has become “ground zero” for this phenomenon. Here a recent report indicates that the sea temperature on the coast of Benidorm has experienced a rise of 3 °C in the last five yearsand although it may end up scary, it has an explanation. The temperature difference. The thermal jump detected in Benidorm is real and, if we look at the records of the Valencian coast, at the beginning of July 2024 the sea surface temperature was around 24 °C. But now in July 2026, the thermometers read between 26 and 28 °C. That is, an anomaly of up to 4 degrees in just a couple of years in specific areas. However, in climatology a background trend is not the same as an extreme event, and we are clear that the rise of 3 °C in five years reflects a marine heat wave, an extreme peak of the situation. As expected. If we look at the full movie, the data from the Copernicus Marine Service confirm that the long-term warming rate of the Mediterranean is 0.4 °C per decade. This means that the “base” temperature should have risen by about 0.12 °C in the last five years, and not 3 °C, so what is happening off the coast of Benidorm is a radical anomalous event fueled by the lack of winds, the anticyclone and high sunshine. We continue to increase. The fact that it is a peak that can end up being recovered and not the base trend does not mean that we should breathe easy, since marine heat waves are like fever: a symptom that the patient is going through a difficult time, and the Mediterranean is the reality that is not going through its best moment. The data of SOCIB in its 2025 report They pointed out that the year was the second warmest year since 1982, with an average sea surface temperature of 21.1 ºC, only surpassed by 2024. But the most revealing data comes from the CLIVAR-Spain program of the AEMET and the IEO-CSIC when they point out that The waters surrounding Spain are warming at a rapid rate between 60% and 200% higher than the global average. The Mediterranean bears the brunt, warming up to three times faster than the average world ocean. The transition. This summer of 2026 is being especially hard, since at the end of June, the AEMET recorded that the Mediterranean reached 26.63 °C on average, being 2.6 °C above normal. And if we go outside the average, in the western basin, the Copernicus satellites have managed to capture astonishing peaks of up to +8 °C above the historical averages (1991-2020) in very localized areas. The importance for Benidorm. A sea at 28°C alters ecosystems, endangers Posidonia meadows, attracts invasive species and, from a meteorological point of view, acts like a can of gasoline. Such a hot sea does not cool the night atmosphere on the coast, aggravating the torrid nights, and accumulates an immense amount of energy that, when colliding with the first gusts of cold air in September, can trigger more violent damage and torrential rains. Images | Emilio Sanchez Hernandez In Xataka | Sea temperature continues to rise and experts are clear: “It is partly favored by the start of a new El Niño phenomenon”

The argument of job creation has been the great asset to build data centers. It would be nice if it were true

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data centers they consume a lot of electricitymaking raise the electricity bill, they pollute the air and sometimes water too. There are more and more arguments against them, while the arguments in favor for those who live near one of these mastodons are basically reduced to one: they generate many jobs. Sure? What is happening. The United States concentrates a third of all data centers in the world. They count in Futurism that there are states competing to attract big technology companies, offering resources and tax exemptions in exchange for them generating jobs and helping to develop their communities. However, it is increasingly clear that the creation of stable and lasting employment is an unfulfilled promise. Billions for a handful of jobs. In Cedar Rapids, Iowa, there are two projects underway for two data centers from QTS and Google respectively. As reflected in the Cedar Rapids Economic Development Centerto encourage the construction of these infrastructures, the city has offered them a 70% exemption from property taxes for 20 years, in addition to returning 75% of electricity rates (a municipal surcharge that is applied to the bill). Google and QTS are going to spend 1.3 billion on their data centers, but it is estimated that they will save more than 580 million on taxes and municipal fees. And you will say how many jobs are they going to create? Under the contract, they are only required to create 61 permanent jobs. Why is it important. Data centers have become the engine of the American economy, but one thing is the wild investment of big tech to build them and the impact on local employment is quite another. They are enormous infrastructures, which cost a lot of money, but once launched they operate practically on autopilot. The tasks that really need human intervention are very few compared to their magnitude. In Aragon too. This situation is not exclusive to the United States, the same thing is also happening in Aragon. We recently learned the employment figures that Amazon will generate in Villanueva del Gállegowhere they are building six data centers. The company had spoken of up to 29,900 full-time positions linked to the project, but they were counting indirect and induced employment, such as suppliers and associated services. The reality is that between six data centers, they are going to hire only 180 permanent people who will work in shifts so that they can operate 24 hours a day, 365 days a year. Once again, the narrative of mass employment is leaking everywhere. Employment yes, but temporary. To build data centers of that magnitude, many companies from different sectors must move, which indirectly does generate a lot of employment. In the case of Cedar Rapids, the city boasts that the projects will create “thousands of construction and trades jobs,” the problem is what will happen to all of them when the data center comes online. According to a recent report by Turner & Townsend echoed in Futurism, the urgency to build new data centers has caused prices to rise in other projects such as housing construction, in addition to monopolizing specialized labor in construction areas. Image | Xataka with Magnific In Xataka | While most oppose AI data centers, there is one group enthusiastic about them: merchandise thieves

Anthropic claims to have found Claude’s “consciousness”, although the data tells another story

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Anthropic has published an article that promises to change the way we understand the inner workings of your business models. artificial intelligence (AI), like we explain to you last week. This company claims to have identified a kind of global workspace within Claudewhich he has named J-Spacewhere the model analyzes and manipulates concepts before these become part of the final answer. What is surprising is that, according to Anthropic, this space has not been deliberately programmed: it has emerged as a byproduct of training the model. To analyze it and understand how it works, a technique known as J-Lens which is capable of mapping the internal activations of the model onto words from its own output vocabulary. When asking Claude to solve a multi-step mathematical calculation the visible answer contained only the final result, but within the J-Space each intermediate step was represented separately. Without this technique no part of that process could have been observed from the outside. However, Anthropic itself recognizes that much of what a language model does does not even go through this internal space. Speaking fluently, remembering simple facts or applying basic grammatical rules almost completely dispenses with J-Spaceand when the company blocked its use Claude continued to function normally, although he lost some of his higher-order cognitive functions. Claude “knows” that he is being watched During one of his most striking experiments, Anthropic subjected Claude to injection attempts. prompts during data acquisition processes. He J-Space then showed words like “false”, “injection”, “erroneous”, “prompt“, “fraud” and “poison”, while the visible response of the model completely ignored the attempted manipulation. Interestingly, when pressed to comment on the matter, terms such as “transparency”, “honesty” and “truth” emerged in the internal space. The language used in the article sometimes borders on the idea of ​​an emerging consciousness The Anthropic researchers also observed that Claude seems to recognize when he is being evaluated, which leads him to behave differently when faced with tests than when faced with prompts everyday. In a particularly revealing test, Anthropic removed J-Space the vocabulary associated with that consciousness of being put to the test (terms such as “fake”, “fictitious” or “scenario”) and found that Claude became much more vulnerable to attempts at blackmail or provocation. Be that as it may, the researchers’ report admits important limits: the J-Space is restricted to a single-token vocabulary, so plans or concepts that cannot be expressed with a single word may not appear in the reading, even though the model is calculating them anyway. Anthropic also does not dare to claim that monitoring this space is sufficient to guarantee the alignment of a model. However, we must not overlook that the language used in the article sometimes borders on the idea of ​​an emerging consciousness. Neel Nanda, head of model interpretability at DeepMind, supports this finding as real evidence of a cognitive space within the modelsalthough he clarifies that the practical usefulness of J-Lens remains limited. This achievement, in any case, opens a promising avenue for auditing the honesty of models, although it is still far from being a complete window into a machine’s thinking. Image | Generated by Xataka with ChatGPT using a prompt created with Claude More information | Anthropic In Xataka | While most oppose AI data centers, there is one group enthusiastic about them: merchandise thieves

It’s not that a Meta data center consumes too much or too little water. It is contaminating it

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AI is quite unpopular among American citizens. According to a recent survey, the majority believe that it will have a negative impact on society. There is something in particular that has earned the rejection of a large part of the population: data centersand the truth is that they have no shortage of reasons. They pollute the airthey make raise the electricity bill and now they also contaminate the water with potentially deadly bacteria. what has happened. They count in Futurism that the authorities of Cheyenne, Wyoming, have prohibited all data centers from discharging any type of waste into the drinking water network. The reason is that Goat Systems LLC, a Meta contractor that is participating in the construction of a new data center, discharged water contaminated with Cupriavidus gilardii to the public sewage, a rare and very dangerous bacteria, especially for immunosuppressed people. The investigation. It’s not that anyone was monitoring the water quality at this particular data center, but rather that the bacteria was detected incidentally during routine testing for fecal contamination. “It’s not something we normally look at,” Frank Strong, head of the Cheyenne water agency’s engineering division, told local Wyoming News. The trail led them to the data center that Meta is building in the city, although Strong admits that they still do not know the exact origin of the pathogen within the facility. Consequences. As soon as the origin was determined, the authorities closed the facilities and stopped the discharge immediately. Additionally, as we said, they are revoking permissions so that other data centers can do the same. This means that they will not be able to do the process known as fill and flushwhereby they fill their cooling systems with water and then purge them before startup. Cupriavidus gilardii. It is an environmental bacteria that is found naturally in the soil. According to a study published in March of this year, is considered a opportunistic pathogen which rarely infects humans, but if it does it can cause death. To date, seven cases of death caused by Cupriavidus gilardii have been known and, at the moment, none have been recorded related to the spill from this data center. Meta’s response. In a public statement, a Meta spokesperson recalled that the bacteria had been found in wastewater, not public drinking water, and stated that it “immediately stopped discharging industrial wastewater and began transporting it outside the facilities.” However, the sewage system where the bacteria was located goes to a plant where wastewater is treated and then reused in public spaces such as parks, hence the authorities’ ban. What is clear is that the popularity of data centers in the US does not seem to be improving anytime soon. Image | Xataka with Magnific In Xataka | We already know how much water Amazon consumes in its data centers. We have good and bad news

The camera that watches you while you drive is already mandatory in new cars. And no one guarantees what happens with that data.

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Since yesterday, July 7, no new car can be registered in the European Union without the ADDW system (Advanced Driver Distraction Warning or Advanced Driver Distraction Warning), the final phase of the General Safety Regulation. We already had recently What does this system technically consist of? and why the car is going to beep at us more now than before. The melon that we had not yet fully opened was about what happens to the images captured by that camera that looks at your face while you drive. About what goes the regulations. He text of the regulation requires ADDW to function as a warning tool, not a recording tool. It analyzes the driver’s image in real time, decides whether or not the driver’s gaze is on the road and generates only a binary signal: attentive or distracted. In theory, the raw video never leaves the vehicle. Article 6(3) of the General Security Regulation itself establishes that the system must not record or retain data beyond what is strictly necessary to fulfill its function. The problem is what the standard does not say. “The regulations do not mandate any independent audit mechanism to verify that installed ADDW systems actually operate in a closed loop,” account the specialized media All About Cookies. It also does not define precisely what is considered “necessary” or how long that information can be retained before being deleted. In practice, the guarantee that your biometric data does not leave the car depends, today, on the manufacturer’s word. It is not the first time that word fails. The recent history of the sector does not help to generate confidence. An investigation by The New York Times revealed in 2024 that “several manufacturers, including General Motors, shared information about their drivers’ behavior with data brokers such as LexisNexis, which in turn they transferred it to insurance companies”, which came to translate into premium increases for drivers who did not even know they were being evaluated. For its part, a special investigation by Reuters documented that, between 2019 and 2022, “Tesla employees privately shared, through an internal messaging system, especially sensitive videos and images recorded by their customers’ car cameras,” including scenes of accidents, traffic fights and intimate moments captured in garages individuals. Neither case is directly related to ADDW nor did it occur in the European Union, but both perfectly show what can happen when an automaker accumulates sensitive data under vague rules. The road safety argument. On June 16, the Swedish data protection authority (IMY) ruled that the company Securitas Sverige had violated the GDPR by installing cameras with artificial intelligence that continuously analyzed the behavior of its drivers. ”The security argument alone is not enough to legally justify this type of behavioral surveillance,” they shared in Tech Times. Although this case is not specifically about ADDW, but rather about corporate fleet cameras, it also sets an uncomfortable precedent just when that same argument, that of road safety, is the legal basis of the entire European regulation. The other system, the black box. The EDR (Event Data Recorder), mandatory since July 2024 and of which we already detailed more in depthis only activated in the event of a collision, saves just a few seconds of technical data (speed, braking, steering wheel angle) and cannot be transmitted wirelessly, since it is necessary to physically connect to the OBD port of the vehicle to extract it. Its own design, designed to investigate accidents, is so limited that the road safety think tank ETSC came to complain that, by not being able to record location or time, the device is almost useless for investigators studying the causes of accidents. In other words, one falls short due to excess caution and the ADDW falls short in guarantees. And now what. The European Commission has already announced that it will continue developing the ADDW until 2027, incorporating the detection of cognitive and not just visual distractions, which implies even more sophisticated sensors pointing inside the cabin. For our part, we can review the manufacturer’s actual privacy policy (not the commercial website) to check how long the eye-tracking data is retained, if it is shared with insurers or third parties, and if the system ever leaves the vehicle itself. The law requires that the data not leave the car. Now, that it is fulfilled, it is a matter of trust. Cover image | Vitaly Gariev In Xataka | Waymo has not confirmed that it will arrive in Spain. But your documentation says things

let data centers pollute without limit

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The summer of 2026 started strong with the first extreme heat wave. We have talked about the heat in Spain and throughout Europebut in the United States they have not been spared either of the consequences. With the air conditioners working at full capacity In homes, the electrical grid is strained and the Secretary of Energy made a decision that directly affects data centers. Activate your generators. The heat wave reached its peak last week and mainly hit the US East Coast. Given this situation, the secretary of energy Chris Wright asked data centers and other large customers to begin using their backup generators, which are normally idle. The objective of this measure is to relieve pressure on the electrical grid, which has experienced an increase in demand caused by high temperatures that have touched 40 degrees in many states. Why is it important. The order demonstrates how data centers are impacting the US power supply, especially in the mid-Atlantic area, where it is concentrated the largest number of data centers in the world. According to Data Center Map dataIn the United States there are more than 4,300 data centers and in Virginia alone there are 637. In other affected states there is also a high concentration: 133 in New York, 133 in Pennsylvania, 93 in North Carolina, 67 in New Jersey, 53 in Maryland and 42 in Massachusetts. Air quality. The biggest loser with this measure is the environment. We are talking about diesel and natural gas generators that emit pollutants such as carbon monoxide, nitrogen oxides and generate suspended particles. The use of these types of generators is limited by their effects on air quality, e.g. In Texas only its use is authorized provided that “the operating time does not exceed 10% of the annual operation of the main power source.” According to a Washington Post analysisin the state of Virginia there are at least 10,500 diesel generators installed. It is estimated that just using them for one hour a week has a health impact equivalent to that of five large gas plants combined and is associated with thousands of asthma episodes each year. Regulatory exception. The Department of Energy already had these limitations and In their directive they authorize connect these generators “without prejudice to air quality limitations.” It is a temporary decision designed to protect the stability of the network and the thermal comfort of millions of homes, but it does not come for free. The order sets an uncomfortable precedent: if environmental regulations are turned off every time there is extreme stress on the grid, the exception may end up becoming the new normal. Without batteries. The manager that offers supply in the area is PJM and last week it surpassed the demand record that occurred two decades ago. As they say in the New York TimesPJM does not have an extensive battery system that allows them to store energy to be used in situations like this. In other states such as California or Texas they do have this type of systems, which allows them to face heat waves or frosts without having to resort to measures of this type. Image | Generac In Xataka | Giant data centers have a space and power problem. A company wants to cut them up and distribute them around the houses

While most oppose AI data centers, there is one group enthusiastic about them: merchandise thieves

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In the United States, at least a third of all data centers of the world. With investment reaching insane levelseach time they are built larger and more powerful infrastructures Unfortunately for the neighbors, who report an increase in pollution, increases in the electricity bill and problems with water supply. While all this is happening, there is a small sector of the population that has seen a business opportunity: thieves. What’s happening. They tell it in Business Insider. Last week in Illinois, police recovered two truckloads of stolen data center equipment. First they found a trailer containing $300,000 in coils of copper cable at a truck yard in Chicago. Later, they discovered that the same person who left the trailer had stored another one a week before and here came the bombshell: the second trailer contained material worth 1 million dollars. It is not the only theft of this type that has happened recently. At the beginning of the month they had The Canadian Press about $5 million worth of data center materials were disappearing while “in transit.” The containers left the port and were listed as having been picked up by the supposedly legitimate carriers, but never reached their destination. Why is it important. The data center boom is creating a supply chain of very valuable materials, especially DRAM chips and memories, but also metals such as copper. Organized crime is no stranger to this and has begun to attack these infrastructures that are so present in the US. Furthermore, they are using the very technology they are stealing from to achieve successful operations. Theft of merchandise. They say in Futurism that the US Department of Homeland Security estimates the theft of merchandise in losses of 35,000 million dollars a year. These gangs often attack retail trade, intercepting goods before they reach stores such as sports equipment from Nike. More sophisticated. Speaking to the Canadian Press, the head of the venture company Verisk CargoNet states that “The bad guys are very good at marketing (…) Now it is much more strategic, much more specific… They know what is in fashion and what sells well.” In the case of the 5 million theft that we mentioned before, the thieves used generative AI and other tools to impersonate a real transportation company and manipulate systems and communications. For days, it seemed like everything was going well and by the time they realized the deception it was too late. Image | Xataka with Magnific In Xataka | The iPhone is one of the most coveted pieces by street thieves. Apple wants to make it more difficult for you

The new star signing of AI is neither an engineer nor a data scientist, but he masters stoicism: the philosophers

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A little less than a decade ago, studying philosophy implied a question: “And what are you going to live on?” Like many other races in the Humanities branchthe philosophy registered a low job insertion rate. According to published data in 2023 by EuropaPress, The unemployment rate for Philosophy graduates was 20 times higher than that of Electronic Engineering graduates. However, in the midst of the rise of AI, the companies that are training and evolving it have realized something: they do not need engineers to program, what they need is to hire philosophers who define how a model should think and how an AI that talks to millions of people every day should behave. Demand has reached a level where their salaries rival those of any senior engineer. From Socrates to defining AI. Studying philosophy was a risky bet due to its few professional opportunities (mainly teaching) and precarious salaries. But something has changed in the sector that was least expected: that of cutting-edge technology that was developing the AGI. According to collected In an article published in AtlanticIn 2013, only 1% of the offers published on PhilJobs, the academic job portal, mentioned artificial intelligence in the description of their offers. In 2025, that figure It was already close to 16%. And a good part of those positions were junior positions. That is, they join technology companies even with profiles with little experience. Why an AI company needs a philosopher. The reason for this change is that companies have made AI capable of processing data emulating the operation of a human neural network, but its interactions are with humansso their responses and decisions must be in tune with the ethical and moral values of humanity. Philosophers have been studying precisely that for centuries. Anthropic is perhaps the clearest case. Your philosopher Amanda Askell He leads the team that shapes the character of the model, and in January 2026 he published what the company itself calls the Claude constitutiona document of more than twenty thousand words that establishes the values ​​that the system must follow. As the company itself explains, this text is used directly in the training of the model. Askell counted to the magazine time that his way of approaching this work is as if he were dealing with a highly gifted child: “you have to be honest, because a smart child immediately detects when someone is lying to him.” Google opened the season to sign thinkers. Anthropic is not the only one that has incorporated philosophers into its staff. Google DeepMind took a similar step in April 2026. As and how I collected the university newspaper Varsitythe company announced the incorporation of Henry Shevlin, a philosopher of mind from the University of Cambridge, for a position that the company itself baptized, literally, as “Philosopher.” His work at DeepMind was to focus on issues of artificial consciousness, human-AI relations, and preparation for AGI. OpenAI has also taken note. OpenAI has followed a similar path, although less transparent in the details. Sam Altman has come to affirm that ChatGPT’s current responses “are the result of a consultation with ‘hundreds of experts’”, specifying that they were philosophers who have reflected on the ethics of technology and systems. In fact, even universities have jumped on the bandwagon and the American Philosophical Association (APA) has been delivering since 2024 two annual awards of 10,000 dollars for philosophical investigations on AI. Profession of the future, but a future that is too fast. Not everything is good news for the union. Daniel Fogal, professor of bioethics at New York University, told The Atlantic that this boom has a real distorting effect on the discipline. According to Fogal, there are philosophers who deep down do not want to dedicate themselves to AI, but feel that they have no choice if they want to enter the job market. The risk, he warns, is that a lot of mediocre work is published just to fit into a passing fad. Good philosophy takes time, Fogal summarizes, and rarely emerges as a direct response to the market. AI companies, on the other hand, launch new models every few months. The philosopher may be the star signing of the sector, but he will continue to be the person least comfortable with the rush. And perhaps for that very reason it is the one that is most needed in this development. In Xataka | We thought that leaving university and starting to work “on your own” was impossible: the key is knowing what to study Image | Unsplash (Sarah Sheedy)

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