users

OpenAI had to choose between being the star app of the US army and its users. And the users have chosen for it

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Last Saturday there were 295% more uninstallations of the ChatGPT mobile app in the United States. Many users felt terrible that OpenAI reached a theoretically unethical agreement with the US Department of Defense to replace Anthropic, and they have punished it with a “Cancel ChatGPT” movement on social networks which has also had an impact on those uninstallations. what has happened. The consulting firm Sensor Tower, which monitors the status of mobile application stores, has indicated that the ChatGPT uninstall rate has increased by 295% on Saturday, February 28 compared to the previous day. Normally, the uninstall rate is around 9% from one day to the next, but that day it was clear that many users decided to get rid of the app at the same time. The reason is obvious. The Pentagon vs. Anthropic. The pentagon it had been months working with Claude, Anthropic’s AI, which was already used on classified documents. Anthropic had made it a condition not to use its AI for mass espionage and the development of autonomous weapons, but the Department of Defense (DoD, which many now call the “War Department”) wanted Anthropic remove those limitations. Anthropic refusedand that’s where OpenAI comes in. and opportunistic. Sam Altman first praised Anthropic’s stance. A few hours later he announced that they had reached an agreement with the DoD to replace Claude with ChatGPT. This has been widely criticized for OpenAI’s lack of ethics and opportunistic attitude, and led to a “ChatGPT cancellation” movement which has had an immediate impact on the downloads and uninstallations of this chatbot. Altman wants to clear things up. He OpenAI announcement It was unclear whether OpenAI actually imposed the same limits that Anthropic had imposed, but Altman soon announced that had added amendments to the agreement to avoid any confusion. Apparently they have been added protections against mass surveillancebut nothing is mentioned about the development of lethal autonomous weapons. Punishment for OpenAI. Not only has it been noticeably uninstalled, but in the opinions of the ChatGPT app many users have given a single star out of five in a very high proportion: those bad opinions grew by 775% on Saturday and then by 100% on Sunday according to Sensor Tower. Five-star reviews fell by 50%. Claude has overtaken ChatGPT in downloads as a result of the latest events with the Pentagon. Source: Appfigures. And Claude already surpasses it in downloads. Another consultancy that monitors the download market, appfiguresindicated that on Saturday Claude’s downloads surpassed those of ChatGPT in the US for the first time. In fact, Claude has become the most downloaded app in at least six countries outside the US: Belgium, Canada, Germany, Luxembourg, Norway and Switzerland. Streisand Effect. We are facing another case of Streisand effect: trying to censor certain information or a certain company ends up being counterproductive. The Pentagon tried to make Anthropic the bad guy, but what has happened is that the company is now seen as the great defender of ethics and “AI alignment.” This has made people perceive it as a more morally respectable option than ChatGPT. But Anthropic has problems. According to Reuters Several US government departments and agencies have made the switch to OpenAI and have begun to stop using Anthropic models for their work. That is already a problem for Anthropicbut even more so is the fact that their recent investment round, in which they raised 60,000 million dollars, could be in danger. If the DoD decides to label Anthropic a “supply chain risk,” its contracts and agreements with dozens of companies would be at risk, and its own future as a company would be at risk. It would be an extraordinary measure and it seems unlikely that the US would go to that point, but nothing is certain today. Image | Village Global In Xataka | The war between Anthropic and the Pentagon points to something terrifying: a new “Oppenheimer Moment”

DeepSeek is gaining users where the US has the most difficulty

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about a year ago DeepSeek appeared on the radar of many people in the loudest way possible, with an impact that was noticed even on Wall Street. If the name sounds familiar to you, it comes from there. The interesting thing is that, twelve months later, its weight in the public conversation no longer seems the same, but that does not mean that it has disappeared from the board. In parallel, and according to the diagnosis that Microsoft now proposes, the Chinese startup continues to gain traction. The success of DeepSeek is worrying in the US. The warning comes from within the American ecosystem itself. Microsoft has warned that US AI groups face growing pressure from Chinese rivals in the battle for users in several markets, precisely because of the combination of “open” models and low prices. The winning strategy. What explains DeepSeek’s expansion has less to do with marketing and more to do with accessibility. The Redmond giant maintains in its report ‘Global AI Adoption in 2025‘that the company has reduced barriers to entry by offering a free chatbot on web and mobile, an especially attractive combination in cost-sensitive markets. DeepSeek also makes money. It is worth clarifying this so as not to be fooled: just because the chatbot is free does not mean that it does not have a business model. The firm founded by Liang Wenfeng distributes its technology with an open approach, with code under the MIT license and a separate licensing scheme for model weights. And, as is the case with most players in this industry, monetization is usually in the professional field: API accessthe interface that allows developers and companies to integrate these models into their own applications and services, is where much of the economic value is concentrated. Microsoft Map with Estimated DeepSeek Market Share The adoption map. The analysis itself places DeepSeek’s growth far from the markets where the technological narrative is traditionally decided, and breaks it down into two types of scenarios: emerging countries and countries where US services are limited or restricted. According to usage data, it is estimated that the Chinese group would have around 18% share in Ethiopia and 17% in Zimbabwe. And where American technological products are limited or restricted, the advance would be even greater, always according to these estimates: 56% in Belarus, 49% in Cuba and 43% in Russia. Target: Africa. Brad Smith, president of Microsoft, stated in an interview with the Financial Times thatif AI is to be deployed in Africa at scale, the problem is not just the software, but the infrastructure that supports it. According to their analysis, many African countries will need investment to build data centers and, in addition, mechanisms to subsidize the cost of electricity, one of the major operational limits. And here he introduces a relevant point: if the race depends solely on private capital, “it will not be enough” to compete with companies backed with a level of subsidy like the one that, he maintains, Chinese companies frequently have. A success that is still being measured. In essence, this case leaves a fairly clear idea: although DeepSeek sounds less popular today than it did a year ago, its approach is having a real impact in markets where it is not so easy for large American technology companies to deploy. It is an expansion that is driven more by accessibility than by narrative, and that is why it is also difficult to follow it from the West, until the data begins to appear. From here, the most interesting thing will be to see what happens in 2026: if DeepSeek manages to sustain that advantage and what other Chinese models, pushed by the same combination of openness, price and internal support, decide to follow in its wake. Images | Xataka with Gemini 3 Pro | Screenshot In Xataka | Anthropic has rewritten his 25,000-word “Constitution” for Claude. It is the manual for how AI should behave

ChatGPT urgently needs its users to start paying money. Solution: put ads on them

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It was inevitable. OpenAI has confirmed that is going to start testing ads on ChatGPT. The test will begin in the United States with users of free plans, those who have ChatGPT Plus, Pro or Enterprise are exempt for the moment. It is a movement that marks the beginning of a reality that was seen coming: The user experience of free AIs is about to get worse. All for the AGI. Through your X profileOpenAI has shared what those ads will look like and is striking in the heading of its “advertising principles.” Here they say their mission is “to ensure that AGI benefits all of humanity; our pursuit of publicity always supports that mission and makes AI more accessible.” how he jokes Pedro Domingos in Xit seems that the AGI was actually “Ad-Generated Income”, that is, “Income generated by advertising.” Where I said I say…. The AGI is becoming the excuse for everything. To find the true reasons behind this decision, it is enough to look at OpenAI numbers. Or also we can go back to 2024when Sam Altman said that ads on ChatGPT are “the last resort for our business model.” Saying that everything is part of a plan for the benefit of humanity is better than admitting that the AI ​​race is very expensive and OpenAI desperately needs to monetize its AI. This sounds familiar to us. The situation is quite reminiscent of the case of Netflix, which In 2020 he flatly refused to advertising, stating that it was a way to “exploit users” to two years later launch your plan with ads. Since then the streaming experience began to deteriorate and everything indicates that we are at the beginning of exactly the same thing happening with AI. Advertising as punishment. Before, ads were a way to generate income. Today they also function as a pressure tool to push users to pay a subscription. This is what we find on YouTube or Spotify, where the bombardment of ads is constant, repetitive and very intrusive. We pay to end the torture. Objective: subscriptions. ChatGPT has 1.8 billion users, but the reality is that only 5% are subscribed to one of their payment plans. How to increase this figure? If we don’t subscribe ourselves, maybe a few ads will convince us. OpenAI has been the first, but there are also rumors that Google will integrate ads into Gemini. The AI ​​party does not pay for itself, it is a matter of time. There is a loophole. If the big chatbots turn their free versions into a minefield of ads, we will always have the option of use local models such as DeepSeek, Mistral, Llama or ChatGPT itself. Here we get rid of token limits, queues and also ads. The bad part is that the performance is usually lower than the cloud and it also has fewer integrations. Time will tell if they end up being a better alternative. Image | OpenAI In Xataka | Generative AI opens its gap between those who focus on it locally and those who focus on the cloud. There is room for both

what it is, what users have to do and how often it has to be passed

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Let’s explain to you What is and how does the “ITV” work for V-16 beacons?a procedure that has been confirmed by the DGT. It is not something that users have to do, but it is still an important procedure to verify that all certified models continue to comply with the DGT requirements. Therefore, although the media has named the review that way, it is not exactly an ITV. We are going to start by explaining what it is about and what is reviewed, then we will mention what remains to be done on our part and how often the reviews are made. What is this ITV for V-16 beacons? This is a review that all beacons on the market must undergo from time to time. Its mission is review all certified devices on an ongoing basis to ensure its proper functioning. Come on, what they do is check that each model continues to meet the requirements necessary to have the ITV certification. Imagine that a manufacturer launches an X beacon and it is certified, but within a few years it eliminates some essential component, because if it no longer meets all the requirements certification is withdrawn. These are the points that will be reviewed to each of the beacon models: That the manufacturer has a Quality System to guarantee that the manufacturing processes are being controlled. That the V16 beacons meet the technical specifications defined by the regulations Ensure that communications are maintained between the device, the operators that provide connectivity, and the DGT’s connected vehicle platform. This verification can be done in person at the applicant’s facilities or at the factories. But there will also be a second route in which the manufacturer will have to send the required evidence, such as samples or similar. Users don’t have to do anything It is important to make clear that Users don’t have to do anything. This MOT is not for the beacons that we have purchased, which when we did so met the requirements. Once you buy your beacon you no longer have to worry. Those who have to be in charge of making these reviews are the manufacturers for the certified models of their beacon that they manufacture in the future. In fact, if a beacon does not pass its “ITV” within three years, for example, that model will no longer be sold with its certification, but that will not affect previous models. How often are reviews done? Manufacturers will have to subject their beacon models to reviews every two years. Remember that as a user you will not have to do anything, these are procedures that manufacturers must do to maintain their certification. Cover image | Pepu Ricca In Xataka Basics | V-16 beacon map: how to use it to see which ones are activated in real time in Spain

Threads has surpassed X in daily users on mobile. The paradox is that this has not changed.

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Threads and X play, in essence, the same game. Short messages, public conversations and the ambition to become the place where the things that matter are discussed. On mobile, Threads is already moving very close to X in daily active users on a global scale, to the point that, on specific days, it was ahead. But when you look beyond the numbers, the feeling is different. The conversation that jumps to the media and public debate continues to be born, almost always, in the same place. The most cited photograph comes from Similarweb data and focuses exclusively on mobile use. That’s where Threads has closed the gap significantly. According to this analysis firm, both platforms converge in very close figures of daily active users on a global scale, around 130 million. In the week with data until September 20, 2025, Threads was ahead of X on three of the days analyzed. Even so, the series as a whole does not allow us to speak of consolidated leadership, but rather of a very tight and localized equality in time. Daily active users on iOS and Android. Threads approaches X on mobile phones globally | Source: Similarweb What does this data measure and what is left out. When talking about daily active mobile users, it is advisable to sharpen the focus. Similarweb accounts daily use on iOS and Android, counting each person only once a day, even if they open the app multiple times. Additionally, any user who performs a minimal action, such as opening the app or logging in, is considered “active.” This metric reflects access habits, but does not distinguish between reading, interacting or publishing, nor does it measure what type of accounts concentrate the activity or what content is amplified outside the platform. Daily web traffic on a global scale. X maintains a very large advantage over Threads in browser visits | Source: Similarweb That balance that appears in mobile use is broken as soon as the focus is expanded. When looking at web trafficthe distance between both platforms is once again very marked. Similarweb data shows that It is not a minor detail, because web access is usually more present in professional contexts, newsrooms and news monitoring. Changing metrics also changes the story the data tells. Information consumption follows another map. When the question is not how many people enter each day, but rather where users get information, the scenario changes. The conclusions of the Digital News Report 2025 of the Reuters Institute point out that The difference is not so much size but function within the media ecosystem. Part of that difference has to do with the type of use. A academic study published in 2024 describes X as a “passive sensor” especially useful for detecting opinion leaders, by combining public visibility, active community and clear temporal traceability of messages. This architecture makes it easier for statements, reactions or controversies to be followed in real time and reused in other contexts. For media and analysts, X not only works as a social network, but also as a tool for observing public conversation. A growth pushed from within the ecosystem. The progress of Threads is largely explained by its integration with Instagram and, in general, with the Meta ecosystem. Direct access from an already massive application reduces barriers to entry and makes it easier for many users to try out the platform without additional effort. That push helps explain why mobile usage numbers have grown rapidly. However, this dynamic does not guarantee that users adopt Threads as a central space for public or informative debate, nor that they transfer there the practices that they currently maintain in X. Not even the recurring controversies surrounding Elon Musk have been sufficient to displace X from its role as an informational reference point. Threads advances in usage and visibility, but the center of gravity of the conversation remains where it was. For that to change, it will not be enough to add users or rely on the Meta ecosystem. It would require a deeper transformation of professional, media and political habits that, for now, is not appreciated. Images | Mohamed Nohassi | Kelly Sikkema In Xataka | Neither board games nor karaoke: ‘Word on Beat’ is the new king of the living room and proof that we prefer rhythmic chaos

Researchers extracted photos and statuses from 3.5 billion WhatsApp users. Meta didn’t react until they told him.

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Between December 2024 and April 2025, a team from the University of Vienna identified 3.5 billion active phone numbers on WhatsApp (practically its entire user base) from a single server and without encountering too much technical resistance. They processed more than a hundred million numbers per hour and extracted not only the existence of accounts, but also public keys, profile photos, status texts, and device metadata. They did it without having to hide, from the same university IP, same server, five accounts. For four months, no one in Meta noticed. Why is it important. This is not the first time that this vulnerability has been demonstrated, as it has already occurred in 2012 and 2021but the first at this scale and speed. The finding exposes a structural contradiction in WhatsApp: Your architecture should show whether a number is registered to enable contact discovery… …but that functional need collides with the privacy of its users. Knowing who uses WhatsApp in countries where it is prohibited, such as China, Burma or North Korea, can have serious consequences. There they detected 2.3 million, 1.6 million and five accounts respectively (not five million, just five). The investigation, published a few weeks ago in NDSS 2026shows that this crack not only persists, but has widened. The context. The researchers developed ‘libphonegen’, a tool that reduces the search space from billions of theoretical combinations of possible mobile phone numbers to “just” 63 billion real candidates for 245 countries. Using unofficial WhatsApp clients that directly access the XMPP API, they queried these numbers at a rate of 7,000 per second. Neither his IP was blocked nor his accounts sanctioned. Meta did not respond until researchers explicitly reported the finding in March of this year, and countermeasures did not arrive until October, just a couple of months ago. The figures. He dataset resulting five times higher the scandal of scraping from Facebook 2021: India leads the document with 749 million users (21% of the total), followed by Indonesia and Brazil. In Spain, 46.5 million accounts. 81% use Android. More than half have a public profile photo. 29% have the status text visible. Between the lines. The researchers were able to infer the operating system by analyzing initialization patterns of the cryptographic keys. Android starts certain identifiers at zero. iOS does this in random values. This detail matters because iPhone users are higher-value targets for attackers. They also detected that public keys are reused. They found 2.3 million different keys used on 2.9 million different devices. In Burma and Nigeria, tens of thousands of numbers shared the same key, pointing either to faulty implementation or outright fraud. They even found twenty American numbers that use a private key composed only of zeros. In detail. The method is not limited to confirming the existence of the accounts. For each one they extracted public keys, timestamps and the list of linked devices. This allows you to build detailed profiles without accessing the content of the messages. The age of the device can be estimated by counting key rotations. The “popularity” of a user is inferred by the frequency of depletion of their prekeys single usewhich are consumed every time you start a new conversation. Researchers downloaded 77 million profile photos of the +1 rank (prefix for the United States and Canada) in a matter of hours. 66% of them contained recognizable faces. They also found disturbing status texts, such as those from traffickers listing prices, accounts business advertising drugs or publicly visible corporate emails from governments and armies. And now what. Meta has deployed probabilistic cardinality counters to limit how many unique accounts a user can query without blocking legitimate contact discovery. It has also restricted bulk access to status photos and texts. The researchers confirmed that the measures work in subsequent tests. But no countermeasures protect those who were already listed during the months in which the system has been wide open. The big question. For four months, from a university server without even hiding their identity, they looted practically the entire user base of the most used application on the planet without anyone at Meta realizing until they were explicitly told. If these researchers were able to do it under these conditions, who else did it before without telling anyone? In Xataka | WhatsApp brings the big update of the season: the most important change is not on the mobile, but on the computer Featured image | Dimitri Karastelev

Crucial was the gateway to the world of the PC for millions of users. AI has just put an end to its story

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Many users remember the moment when they decided to build or improve their first computer: the search for a fast SSDa RAM kit and the feeling that the PC world was within anyone’s reach. That vision, extended for almost thirty years, is now going through a turning point. The explosion of artificial intelligence has altered the balance of the memory business and has pushed suppliers like Micron to make decisions that would have seemed unthinkable a short time ago. Micron just announced that it will stop selling consumer products under the Crucial brand. The company announced that it will continue to ship memory modules and storage units until the end of its second fiscal quarter, in February 2026, and that it will maintain warranty service for devices already in the hands of users. In parallel, it will continue to operate its business catalog with Micron products for commercial customers. The announcement came accompanied by a precise explanation: the company wants to prioritize attention to segments where demand is growing more quickly. The message of Sumit Sadana, executive vice president of Micron Technology. “AI-driven growth in data centers has driven a surge in demand for memory and storage. Micron has made the difficult decision to exit Crucial’s consumer business to improve supply and support to our largest strategic customers in higher growth segments.” The brand that grew with the home PC. Since its launch in 1996, Crucial was presented as Micron’s branch dedicated to memory and storage upgrades for the home user. Over the years, the brand entered more categories, such as memory cards and external drives. Its constant presence in physical stores and online distributors helped establish it as a household name in the components market. That 29-year trajectory is what is now behind us with Micron’s decision. The pressure of AI on memory. The rise of AI computing has generated unprecedented demand for memory, especially from HBM, used in accelerators from NVIDIA, AMD and other companies. This type of components requires complex manufacturing processes and absorbs a large part of the manufacturers’ capacity, that concentrate resources on meeting business contracts. Fewer options for mounting and expanding PCs. After years of presence in the consumer channel, Crucial leaves a gap that mainly affects the variety of the available catalog. Although there are still alternatives, the departure of a supplier with such a constant presence means fewer options when choosing memory modules or storage units. The price of RAM memory, increasing. Crucical’s farewell occurs at a time when the price of RAM has skyrocketed 300% since September. And, at least according to data from the consultancy TrendForce, everything seems to indicate that the increase in the cost of computer modules is far from over. Images | Micron | Nathan Anderson In Xataka | The war to dethrone NVIDIA has just begun: Amazon and Google are already armed

There are 500 million users who could perfectly upgrade to Windows 11. The problem is that they don’t want to

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If you are reading this and still using Windows 10you are at risk. Microsoft a month and a half ago ended the official support period for this operating system that was launched in 2015. The curious thing is that what should be happening is not happening. Dell as an example of what is happening in the world. Dell COO Jeff Clarke recently participated in an interview at The Motley Fool and they asked him for his vision on how the end of Windows 10 would affect the migration of users to Windows 11. That’s when he confessed that all his expectations came crashing down. The end of Windows 10 pointed to the growth of Windows 11. In fact, Clarke explained that before it happened he was very confident that this end of the cycle would lead people to buy a new PC or install Windows 11 on their computers. However, the executive indicated that they have realized that the adoption of Windows 11 is between 10 and 12 points below what happened with previous generations: people are not updating to this operating system as they expected. 500 million users simply skip updating. Clarke’s estimate is that there are about 1.5 billion devices (PCs and laptops) running Windows, and that’s where he made the most disturbing statement: “There are about 500 million PCs capable of running Windows 11 that have not been updated. And we have another 500 million that are four years old and cannot run Windows 11. All of them pose a huge opportunity to upgrade to Windows 11.” And yet, they don’t do it, or what is the same: A third of global Windows users do not have a PC officially compatible with Windows 11 and cannot directly upgrade Another third have a PC compatible with Windows 11 but users simply They have chosen not to do so. If it works, don’t touch it? For many users, including business users, the unwritten rule is often precisely “if it works, don’t touch it.” This is especially delicate in companies, because they may depend on legacy systems and if they update to new versions, conflicts may arise that affect the operations of the business itself. And still… A colossal security hole. Once again, what is really worrying about this is that although these PCs and laptops are working correctly, if they are based on Windows 10 or previous versions of Windows, they are absolutely exposed to all kinds of security flaws. At any time, these PCs could become victims of malware that turns them into members of a botnet, or of ransomware that prevents us from accessing our data unless we pay a ransom. This is already bad for individual users, but for companies the risk is enormous. A ray of hope. Here we just have to wait for users to realize that updating their equipment is important and relatively easy. In fact, on officially compatible devices this is basically a matter of clicking the “Next” button when running the update wizard. If your device is not compatible, there is a trick. On computers that theoretically do not meet the conditions—such as, for example, that do not have native support for TPN 2.0—there are not excessive problems either, because it is possible to “trick” Windows with a command or even with the use of a modified version of Windows 11. Come on, although it seems that you cannot update to Windows 11, the most normal thing is that in reality yes you can. And of course, there is Linux. If for some reason what users don’t want is to upgrade to Windows 11 because they don’t like it, the options are there in the form of Linux distributions. It seems that this path is being chosen by an already notable number of users, and this is demonstrated by the fact that, for example, Zorin OS—a fork of Ubuntu—has seen its distribution Zorin OS 18which arrived just at the time when Windows 10 was no longer officially supported, has been downloaded more than a million times in the last few days. In Xataka | If you have an old PC, there is an effective alternative to Windows 11 requirements and bloatware: this is how Flyoobe works

At Microsoft they are clear that Windows will end up being an agentic operating system. Users have jumped on him

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Microsoft has big plans for Windows and, how could it be otherwise in these times, artificial intelligence is in those plans. The president of Windows has boasted about the next evolution of Windows to an agentic system, but the response from the community has been clear: no. what has happened. They tell it in Windows Central. Pavan Davuluri, current president of the Windows division, has made a post on X in which it states that “Windows is evolving into an agentic operating system, connecting devices, the cloud and AI to drive intelligent productivity and ensure secure work from anywhere.” The news will be announced on November 19, when the Microsoft Ignite event will be held. The answer. “Enough of this nonsense. Nobody wants this. You live in a Twitter bubble where AI will create a ton of wealth and you will die unless you adopt it now,” he says the answer with the most likes. It is not the only one, the majority of users agree that they do not want an agentic system, some ironize that the evolution of Windows is to make users go to Linux and Mac. The positive comments are in the minority, it seems clear that the majority does not want an authentic operating system. Talk to your PC. Recently Microsoft released “Hey Copilot”; Not only is it integrating AI, they also want us to use voice. The problem with this is that experience tells us that We don’t feel like talking to our PC. The figures make clear that we are more accustomed to doing voice searches on mobile phones than on PCs, with 77% compared to 38% of users who speak with PCs. One reason for this is that we use the PC in places where there are more people and we cannot take it to a corner to do the search, but everyone can listen to us. General discontent. The effort to integrate AI into the operating system is not the only reason for rejection by the community. One of the most criticized points recently is that Microsoft forces that you can only use Windows 11 with an online account. The reason is obvious: trying to sell us services like OneDrive and Microsoft 365. Users also reproach Microsoft for first solving the problems. stability issues and constant updates. Decline. Windows continues to dominate the desktop operating system market, but Statcounter data They say there has been a decline. In September Windows had a 70.81% market share and in October the figure fell to 66.25%. We know where those users have gone: the drop coincides with a rebound in MacOS, which went from 8.33% in September to 14.07% in October. There have been other months with similar changes and it is not a very large variation, but perhaps those who talk about migrating to other systems are not so misguided. Image |Windows in Unsplash In Xataka | The unexpected return of Windows 7: it reaches almost 10% of the market when Microsoft prepares to retire Windows 10

OpenAI has released GPT-5.1 with two personalities because 800 million users do not want the same AI

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OpenAI has launched GPT-5.1an update of its flagship model that comes in two variants: Instant (conversational and “warmer”), Thinking (deep reasoning). The real novelty is not in the technical metrics, but in something more prosaic: you can now choose between eight conversation tones, from “professional” to “cynical.” It is recognizing that AI as a mass product needs segmentation. It is no longer enough to have just one assistant for everyone. The new model selector for Plus users. Image: Xataka. Why is it important. OpenAI has 800 million users with radically different expectations. Some want a neutral and efficient assistant. Others seek warmth and empathy. Some have even developed problematic emotional ties to the chatbot. The company tries to solve this with personality adjustments, but the underlying problem remains: ChatGPT keeps pretending to be a person, a consistent entity that knows you. This generates the same risks of emotional dependence that have motivated mental health demands and alerts. The facts: GPT-5.1 Instant improves in math and programming, and for the first time uses “adaptive reasoning”: decide when to think harder before answering. GPT-5.1 Thinking, for its part, dynamically adjusts its processing time according to the complexity of the question, being twice as fast in simple tasks and twice as slow in complex ones. The eight available tones (Default, Professional, Friendly, Sincere, Quirky, Efficient, Geek, Cynical) work by injecting different instructions into each prompt. The capabilities of the model do not change, only the presentation changes. Yes, but. The speed of the launch has come at a cost. OpenAI itself admits in its technical documentation that GPT-5.1 presents “known security regressions” compared to the October version. They prioritized time-to-market over exhaustive testing, something striking in a company under intense regulatory scrutiny due to cases of vulnerable users. Furthermore, personalization has limits that OpenAI has had to explicitly acknowledge: “taken to the extreme, personalization would be useless if it only reinforced your worldview.” It is admitting that you are walking a tightrope between engagement commercial and social responsibility. Between the lines. The launch of GPT-5.1 is a symptom of a deeper strategic shift. OpenAI is fragmenting its product because the “one AI fits all” model has failed. GPT-5 was so disappointing that the company had to enable it again GPT-4o as an option the next day. In Xataka | OpenAI has never been more ambitious. And he’s never been so close to not being able to pay his debts. Featured image | Xataka with Mockuuups Studio

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