openai

Now OpenAI lets you share your friends’ phones with ChatGPT. The question is why would anyone want to do that?

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ChatGPT is changing in leaps and bounds: we already know that announcements will arrive sooner rather than later and how will they work and in recent days OpenAI has sent its users an email like the one you see above informing about an update to your privacy policy. The first aspect that changes: the appearance of the mythical “Find friends in OpenAI services” in a step to become a more social platform synchronizing contacts. The message in question: “You can now choose to sync your contacts to see who else is using our services. This is completely optional.” Finding friends in OpenAI apps. The OpenAI privacy policy page allows you to consult the current version and the previous onewhere we see that there is a section that was not there before: in addition to account information, user content, communication information and other information you provide, another one appears: “Contact Data” is new. What it literally says: “If you choose to connect your device contacts, we upload information from your device’s address books and check which of your contacts also use our Services. If any of your contacts are not already using our Services, we will inform you if they sign up for our Services later.” What does it mean. That is, OpenAI wants to access and store the information from your phone’s phonebook to divide your contacts’ phone numbers into two: those who already have an account and those who don’t. The idea is to find contacts that you know who use tools like Sora or the group chats through suggestions. But also take note of those who don’t use their services as they let you know if they sign up later. The option is not yet operational and OpenAI has not yet explained how it will be implemented in the app. What we do know is that it is optional (that is, you can refuse) and that what the company led by Sam Altman will save are the phone numbers in your device’s address book. Neither the names nor the details of the entire notebook. How it will work. OpenAI has detailed that the phones are hashed to later compare them with existing OpenAI accounts, from which the suggestions appear. The next question is: how long do you store them? OpenAI itself has that question in its help sheet, but the answer is not clear at all. After this process of searching for matches between your agenda and its database, contact lists are half deletedbecause it also ensures that “encrypted phones could be kept on OpenAI servers to facilitate connection functions.” Everything indicates that OpenAI will periodically check if anyone of your contacts has noticed. In any case, we still don’t know the answer. Of course, you will have the option to revoke the permissions. Why do you want to know that haha ​​salu2. The company has not offered images of what the experience will be like or what functionalities it will unlock for those who agree to share this information. So why would you want to accept this option? For now, to see suggestions from users in your calendar, like Manolo the plumber or your cousin Pili from Utebo, with whom you may not talk too much about your projects in group chats or your experiments in Sora. If you decide to connect with that person, that person may receive a notification to follow you. He follow back of a lifetime, come on. The small print. With what we know and taking into account the use we make of OpenAI services, perhaps the option of becoming friends with the plumber via Sora is not essential. However, even if you do not agree to participate, anyone who has your number and agrees to synchronize their contacts will be giving your number to OpenAI. Even if you don’t have an account. It’s all advantages (for OpenAI). Finding advantages for users of this optional feature costs, just the opposite of seeing the benefits of OpenAI. To start, weave a network that invites you to use OpenAI tools because your environment uses it (I stay because everyone uses it). Likewise, by seeing who is not on the platform, OpenAI can also incentivize you to invite them to encourage their organic growth at a critical time where competition is fierce. Connecting contacts also has a potentially interesting side: that OpenAI develops more collaborative tools that invite you to use and spend more time in the app. Finally, with this function the company behind ChatGPT can establish a social graph on interests, educational levels and professional environments, cinnamon sticks to improve personalization or simply to help them validate identity and security in the case of minors. In Xataka | We already know how ads will work on ChatGPT. We have bad and not so bad news In Xataka | Anthropic is growing so fast that OpenAI’s problem is growing at the same speed: losing the market that matters Cover | OpenAI communication with Mockuphone and Codioful (Formerly Gradient)

Programming is the new board of AI. OpenAI and Anthropic have made it clear with GPT-5.3-Codex and Claude Opus 4.6

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When ChatGPT broke out in November 2022, OpenAI seemed unrivaled. And, to a large extent, that was the case. That chatbot, despite its errors and limitations, inaugurated a category of its own. However, in the technology sector advantages are rarely permanent and, in 2026, the position of the company led by Sam Altman It’s a far cry from what it had then. Google has managed to attract the general public with Nano Banana Prowhile Gemini steadily gaining ground as an artificial intelligence chatbot. At the same time, ChatGPT’s market share has fallen significantly in some markets. Anthropic, for its part, has established itself as a reference in software engineering and has become one of the preferred tools among programmers. In this race to set the pace of AI, this Thursday we witnessed a curious movement: the almost simultaneous arrival of two models focused on programming, GPT-5.3-Codex and Claude Opus 4.6. The coincidence does not seem coincidental and reflects the extent to which the major players in the sector compete to define the next step, in a scenario where the main beneficiaries are, once again, the users. With these new models already on the table, the question becomes what they really contribute. There are plenty of promises and they are also beginning to appear benchmarks comparable that help to place them. So, therefore, it is time to look in a little more detail at what OpenAI and Anthropic propose for those who use AI as a development tool. GPT-5.3-Codex and Opus 4.6 enter the scene: what each promises to developers GPT-5.3-Codex is presented as a model focused on scheduling agents which seeks to expand the scope of what a developer can delegate to AI. OpenAI claims that it combines improvements in code performance, reasoning and professional knowledge over previous generations and is 25% faster. With this balance, the system is oriented to prolonged tasks that involve research, use of tools and complex execution, while also maintaining the possibility of intervening and guiding the process in real time without losing the work thread. One of the most striking elements that OpenAI highlights in this generation is the role that Codex itself would have had in its development. The team used early versions of the model to debug training, manage deployment, and analyze test and evaluation results, an approach that accelerated research and engineering cycles. Beyond that internal process, GPT-5.3-Codex also shows progress in practical tasks such as the autonomous creation of web applications and games. The company has published two examples that we can try right now by clicking on the links: a racing game with eight maps and a diving game to explore reefs. Anthropic’s turn comes with Claude Opus 4.6, an update that the company presents as a direct improvement in planning, autonomy and reliability within large code bases. The model, they claim, can sustain agentic tasks for longer, reviewing and debugging its own work more accurately. The idea is that we can use these capabilities in tasks such as financial analysis, documentary research or creating presentations. Added to this is a context window of up to one million tokens in beta phase, a leap that seeks to reduce the loss of information in long processes and reinforce the usefulness of the system. Beyond the core of the model, Anthropic accompanies Opus 4.6 with a series of changes aimed at prolonging its usefulness in real workflows. Among them there are mechanisms such as the so-called “adaptive thinking”, which allows the system automatically adjust the depth of your reasoning depending on the context. Configurable effort levels and context compression techniques designed to sustain long conversations and tasks without exhausting the available limits also appear on the scene. Added to this are teams of agents that can be coordinated in parallel within Claude Code and deeper Excel or PowerPoint integration. While OpenAI’s product, GPT-5.3-Codex, is not yet available in the API, Anthropic’s is. Maintains the base price of $5 per million entry tokens and $25 per million exit tokenswith nuances such as a premium cost when the prompts exceed 200,000 tokens. Measure who wins with numbers? When trying to put GPT-5.3-Codex and Claude Opus 4.6 face to face, the main obstacle is not the lack of figures, but rather their difficult correspondence. Each company selects evaluations that best reflect its progress and, although many belong to similar categories, they differ in methodology, versions or metrics, which prevents a direct reading. In this type of models, this fragmentation of results is part of the state of the technology itself, but also requires cautious interpretation that separates technical demonstrations from truly equivalent comparisons. Only from this filter is it possible to identify the few points where both systems can be measured under comparable conditions and draw useful conclusions for developers. If we restrict the analysis to truly comparable metrics, the common ground between GPT-5.3-Codex and Claude Opus 4.6 is limited to two specific evaluations identified through our own research: Terminal-Bench 2.0 and OS World in its verified version. The results show a distribution of strengths rather than a clear supremacy. GPT-5.3-Codex marks a 77.3% in Terminal-Bench 2.0 compared to 65.4% for Opus 4.6, which points to greater efficiency in terminal-centric workflows. On the contrary, Opus 4.6 reaches a 72.7% on OSWorldsurpassing the 64.7% of GPT-5.3-Codex in general interaction tasks with the system, a contrast that reinforces the idea of ​​specialization according to the environment of use. So we could say that the capabilities described by each manufacturer point to tools that are no longer limited to generating code, but rather seek to participate in prolonged processes of analysis, execution and review within real professional environments. This transition introduces new selection criteria that go beyond punctual performance. In Xataka | OpenAI has a problem: Anthropic is succeeding right where the most money is at stake

OpenAI going from 70% share to 46% is the symptom of something more worrying: they have entered panic mode

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Between January 2025 and January 2026, ChatGPT has lost almost 24 points of market share among daily users of its mobile app in the United States, its main market. Gemini has gone from 14.7% to 25.1%. Grok, from 1.6% to 15.2%. In web traffic the pattern repeats itself. ChatGPT rose 50%, from 3.8 billion to 5.7 billion views. Gemini jumped 647%, from 267 million to 2 billion. OpenAI is still the leader, but it already has a real alternative in all aspects. Why is it important. When you lose 24 share points while the market grows 152%, something has broken along the way. And it’s not just technical leadership. It’s the narrative. Sam Altman sold OpenAI as the company that would reach the market first AGI. That promise mobilized a lot of capital, a lot of talent and a lot of faith. The AGI has not arrived yet. Meanwhile, OpenAI has had to become something else: a conglomerate that does quite a bit more, from chatbots to chips to a wearables. In Xataka The AI ​​of 2026 brings an uncomfortable truth: the most useful will be the one that watches us the most The business model problem. OpenAI… It earned $13 billion in 2025. It lost $12 billion in the last quarter alone. It has 40 million paying subscribers at $20 a month. There are 800 million monthly. It is still insufficient. The company needs AI to function as a business service, not just a consumer product. But there he is losing to Anthropic, which leads with 32% of the business market compared to 25% for OpenAI. Claude Code has become the favorite option for developers: 42% share compared to 21%. Google has 20% and counting. Meta controls 9% with Flame. DeepSeek barely 1%, but its model shows that the level of OpenAI can be replicated without the same resources. The great advantage of Google. Google doesn’t need you Gemini earn money tomorrow. It can afford low prices and red numbers for a long time, while perfecting the technology and integrating it into products that already work: the search engine, YouTube, Android, Chrome… OpenAI depends on ChatGPT to survive. The snowball in debt and payment commitments is too big. Sundar Pichai’s strategy is clear: not to place advertising on Gemini to maintain trust, but to try placing ads on the AI-powered search engine, where users see them as something to be expected. Google can learn without risking its brand. Yes, but. Altman has reacted with quite aggressive diversification. OpenAI no longer wants to be just a modeling company, but rather control multiple layers: from hardware to consumer applications. The objective is become too big to fall. That a hypothetical failure represents a systemic risk for the US economy, as happened with the banks in 2008. {“videoId”:”x9u4ml2″,”autoplay”:false,”title”:”Does Gemini 3 surpass ChatGPT? This is Google’s new AI”, “tag”:”Webedia-prod”, “duration”:”156″} behind the scenes. The dispersion is becoming noticeable. Banking is reducing its dependence on OpenAI. 18 months ago, half of AI use cases at large banks used OpenAI models. By the end of 2025, that figure had fallen to a third. While OpenAI loses focus, Anthropic wins them. Projects to be profitable in 2028. OpenAI, having moved the goal along the wayin 2029. Featured image | Xataka In Xataka |Google had a practically unsolvable dilemma with AI and its search engine. So you have chosen to create a subscription (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news OpenAI going from 70% share to 46% is the symptom of something more worrying: they have entered panic mode was originally published in Xataka by Javier Lacort .

That Oracle speaks out on the soap opera between NVIDIA and OpenAI is a bad sign. That it will not have benefits until 2029, too

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Oracle counted in a tweet that the agreement between NVIDIA and OpenAI has “zero impact” on your financial relationships with the company that owns ChatGPT. This is more complicated than it seems, because the AI ​​business could end up collapsing if a large company like NVIDIA or Oracle shows even a hint of doubt towards OpenAI. The latest statements by Jensen Huang, CEO of NVIDIA, have made the market nervous, although Oracle’s path is not very encouraging either. Why is it relevant? Oracle just announced that will raise between 45,000 and 50,000 million of dollars this year through debt and equity issuance to build cloud infrastructure for its large AI clients. Among them, OpenAI stands out with a contract of 300,000 million of dollars for five years that starts in 2028. The problem is that OpenAI is not profitable right now, and Oracle needs OpenAI to raise capital so that it can pay it. It is a circular financing circuit where everyone depends on everyone Keep signing checks. The numbers don’t add up yet. The contract with OpenAI involves about $60 billion annually starting in 2028. To fulfill it, Oracle must buy approximately 400,000 chips NVIDIA’s GB200, with an estimated cost of $40 billion just for its flagship data center in Abilene, Texas. Meanwhile, OpenAI’s total revenue in 2025 was around $13 billion, according to Bloomberg. Oracle is betting its bottom line that a company that currently burns more cash than it generates can pay bills equal to five times its current annual revenue. The alarm signals. In January, investors accused Oracle of hiding the need for more debt to finance its AI infrastructure, according to Reuters. Oracle’s debt-to-equity ratio is at 6x, and credit default swaps reached levels not seen since the 2008 financial crisis in December, according to point Bloomberg. In addition to all this obstacle, Oracle’s action has fallen 50% from its September peak, when it announced precisely the agreement with OpenAIerasing some $460 billion in market capitalization. ANDnegative n until 2029. Developing data centers for AI has pushed Oracle’s free cash flow into negative territory, where it is expected to remain until 2030, according to data compiled by Bloomberg. Jefferies esteem that the company will need to raise more funds in 2027 and subsequent years, since cash flow will not return to positive until 2029. Oracle plans to raise 50 billion: half through equity, with convertible preferred securities and a share sale program of up to 20 billion, and the other half through a single bond issue in early 2026. Between the lines. What really worries the market is the structure of mutual dependence. NVIDIA funds OpenAI. OpenAI pays Oracle. Oracle buys chips from NVIDIA. Everyone’s income growth depends on everyone else continuing to write checks. When Jensen Huang, CEO of NVIDIA, declared to journalists that the 100 billion agreement with OpenAI “was never a commitment” and that they would invest “step by step”, Oracle had to come out with that tweet to calm the waters. And that tweet is precisely the type of communication that worries investors. Cover image | IEEE Awards, Hartmann Studios, Wikimedia Commons In Xataka | The CEO of Airbnb is clear that there are companies with too many meetings: his trick is to follow Jony Ive’s philosophy

Amazon is negotiating to invest 50 billion in OpenAI. The money would go in through the door and out through the window.

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Amazon CEO Andy Jassy is in talks with Sam Altman to close an investment of up to $50 billion in OpenAI. He has revealed it The Wall Street Journal and has confirmed it CNBC referring to his own sources. The deal could close in a matter of weeks as part of a record $100 billion funding round that would skyrocket OpenAI’s valuation to $830 billion. Today there are only fourteen listed companies in the world with a higher valuation. And none among the unlisted ones. Why is it important. Amazon would become the largest investor in the round, surpassing the 30 billion negotiated by another old acquaintance of technological mega-investments, SoftBank. And it does so just two months after OpenAI reached a valuation of half a billion dollars. Between the lines. Amazon has an important alliance with Anthropic from 2023that is, with the direct rival of OpenAI. AWS is its primary cloud provider, and in October inaugurated an 11 billion data center campus exclusively for Anthropic in Indiana. Betting at the same time on two companies that are so competitive with each other sounds like a paradox, but it is not so much if we think of Amazon as one of the sellers of picks and shovels in the AI ​​gold rush. They don’t care who finds the nuggets because they charge for the tools. The money trail. In addition to Amazon’s 50 billion, NVIDIA is negotiating to invest 20 billion and Microsoft “several billion more.” The three companies sell OpenAI just what it needs to exist: chips and computing capacity in data centers. Yes, but. This circular scheme is not going unnoticed and has raised more than one eyebrow: Amazon basically ensures itself many years of guaranteed income (at least as long as OpenAI does not go bankrupt, something no one can afford) while diversifying risks by also betting on Anthropic. Just in case. In detail. Although nothing has been leaked that could take it for granted, this investment could perfectly include clauses for OpenAI to adopt the AWS own chips. Or that Amazon sells ChatGPT Enterprise subscriptions to its enterprise customers. It will be through parallel business channels. OpenAI has insane costs with the dark clouds caused by the arrival of Gemini 3 and its great reception. So they are considering ways to sustain capital-devouring growth, such as the much-rumored IPO. The context. a few days ago, Amazon announced the layoff of 16,000 employees “office”, not warehouse or logistics. It is their second round of layoffs for them after 14,000 in October. In total, 30,000 casualties. Meanwhile, it has projected investments that already total 125 billion by 2026 in data centers alone. There is no other large technology company with such a high spending projection. It is a contradiction that has an overwhelming logic: if with AI you are going to be able to do more with fewer jobs, you choose to cut salaries to allocate them to investment. Go deeper. This movement is another nail in the… pattern: big technology companies no longer compete so much to develop the best AI but to control the infrastructure that supports it. Whoever has control of data centers and chips will have control of the business. Regardless of which chatbot succeeds. Featured image | Dima Solomin In Xataka | There was a time not too long ago when the future of supermarkets seemed like Amazon Go. Now Amazon Go is dead

OpenAI is very clear that ads on ChatGPT are going to work. So much so that they are going to charge more than TV for them, according to The Information

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A few days ago we knew that OpenAI was going to draw up a plan to insert advertising in ChatGPT. Now, according to they point Sources from The Information, the company is already establishing the rates that it is going to start charging advertisers, and the truth is that they are going to give something to talk about. The media shares that OpenAI asks for approximately $60 per 1,000 impressions (CPM), a very high figure when compared to other media, including television. The problem is that OpenAI does not yet offer anywhere near the same measurement tools as Google or Meta. The price thing. The figure of 60 dollars is at NFL levels, according to reflects Gennaro Cuofano, founder of The Business Enquineer. OpenAI has not yet specified what data it will provide to advertisers, only that it will be “high level”, so there is some skepticism if we take into account that companies like Meta and Google allow us to track very specific and detailed metrics when we see an ad through their platforms. Vender access, without results. The company is betting for capitalizing on its audience of more than 400 million users before building the necessary infrastructure to offer this type of service. As Cuofano details, it’s about “selling reach now, building attribution later,” similar to what Facebook did in 2010, when it had a massive, fast-growing audience and opted for ads without yet an advanced metrics infrastructure. Time has ended up proving Zuckerberg’s platform right, but we will have to wait to see if the move is worth the same to OpenAI. Nfinancial need. The strategy can also be seen as an attempt by OpenAI to reverse the economic situation through which it passes. And as we knew through internal documents, the company projects operating losses of $74 billion by 2028, driven largely by AI operational costs. The idea is that the ads appear in the coming weeks only for free and download users. Go plan in the United States, while Plus, Pro, Business and Enterprise subscriptions will be free of advertising. OpenAI affirms that the ads will not influence the chatbot’s responses and that it will never sell conversation data to advertisers, in addition to avoiding sensitive topics such as mental health or politics. And now what. OpenAI will now have to demonstrate that it can scale this model beyond experimental budgets. And to scale a platform towards revenues that exceed tens of billions of dollars in advertising, it will be necessary to build a very solid measurement infrastructure and establish relationships with advertising agencies that it does not have now. It remains to be seen if the same promises that feed your ecosystem of products also allow them to build an advertising ecosystem as large as Google, Meta or Amazon have demonstrated in recent years. Cover image | OpenAI In Xataka | “The assemblies are not going to be done by AI”: we talk to the kids who have become carpenters, truck drivers and tinkerers

Claude has become more than just a rival to OpenAI: he is its new existential threat

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Several software stocks are falling just since Claude Cowork It’s going viral. Those collected by iShares Expanded Tech Software ETFwhich has a cumulative drop of 6.4% in the last five days. It has also been a few days since OpenAI announced that it is going to introduce ads on ChatGPT. Why important. It’s not just that Claude Cowork is cool and works well. The thing is that OpenAI’s business model is beginning to show cracks while Anthropic gains ground where it matters: in companies that really pay. In figures. Claude dominates 54% of the AI ​​programming market. In business environments controls 42%more than double that of OpenAI. This last piece of information is from six months ago, presumably now it has gotten worse. Cowork has only made accelerate the trend. 20% of Anthropic’s revenue comes from Claude Code alone. Meanwhile, ChatGPT quota has gone from 87% to 64% in a year. In Xataka People are holding funerals for retired AI models for a reason: they are not a "tool" but a support The background. According to historical data since 2001 that collect Sherwood Newswhen the software ETF falls at least 5% in a month, the S&P 500 usually also falls between 5% and 6%, but this time it has not been like that: it has risen 1%. The overall market going up while software goes down has only happened 28 times in over twenty years. And three of them have been this week. Between the lines. Doug O’Laughlin of SemiAnalysis explains it this way in Sherwood News: “Claude Code is the ChatGPT moment repeated. You have to try it to understand it.” His argument is devastating for traditional software. Workflows, interfaces, integrations are going to stop mattering. The only valuable thing will be access to the data via API. Everything else is generated instantly. Yes, but. OpenAI urgently needs money to build its data centers. And it does not have an ecosystem of services like Google or Meta to finance itself. Hence the newly announced announcements for ChatGPT, which will arrive “in the coming weeks” as announced on Friday. Clearly it is a way to better monetize the hundreds of millions of free users, and with that cash flow sustain their growth and spending. On the other hand, Claude Code is powerful, but not perfect: as Kelsey Piper said99% of the time using Claude Code is like having a magical, tireless genie, but 1% of the time it’s like yelling at a pet for peeing on the couch. He keeps making mistakes, sometimes gets stuck on complex tasks. {“videoId”:”x9u4ml2″,”autoplay”:false,”title”:”Does Gemini 3 surpass ChatGPT? This is Google’s new AI”, “tag”:”Webedia-prod”, “duration”:”156″} And now what. For software companies, O’Laughlin’s message is devastating: get out of “information work” as soon as possible. If your differentiation is doing things faster or with better design, you’re done. The only thing that will matter is who has the data and who controls access via API. As summarized Axios in his analysis of the weekit’s unclear who wins the AI ​​race. But the pace is accelerating with no signs of slowing down. And what is increasingly clear is who is losing it. In Xataka | The AI ​​of 2026 brings an uncomfortable truth: the most useful will be the one that watches us the most Featured image | Anthropic (function() { window._JS_MODULES = window._JS_MODULES || {}; var headElement = document.getElementsByTagName(‘head’)(0); if (_JS_MODULES.instagram) { var instagramScript = document.createElement(‘script’); instagramScript.src=”https://platform.instagram.com/en_US/embeds.js”; instagramScript.async = true; instagramScript.defer = true; headElement.appendChild(instagramScript); – The news Claude has become more than just a rival to OpenAI: he is its new existential threat was originally published in Xataka by Javier Lacort .

OpenAI will start placing ads on ChatGPT. We already know who this first test will reach

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For years, ChatGPT It has functioned as one of the most accessible gateways to artificial intelligence, an assistant that many people use daily without a subscription. That model, which helped popularize generative AI at a speed that is difficult to match from the end of 2022is now beginning to show its limits. Maintaining that promise of mass access has an increasing cost, and OpenAI has decided to explore an avenue that had been on the table for some time: will start testing ads in the chatbota movement that puts back on the table how the AI ​​we use every day is financed. ChatGPT is about to change. OpenAI says that ads will only be shown on the free and Go plans, while users of ProBusiness and Enterprise will be left out. The decision introduces a clear separation between plans aimed at the general public and those designed for professional or business use. As we can see, in this pilot, advertising is associated with the cheapest access levels, while higher subscriptions maintain an ad-free experience. This is what ChatGPT ads will look like Where the advertising will appear. There are also details on how advertising will be integrated into the user experience. In this first phase, ads will appear at the end of ChatGPT responses when there is a sponsored product or service related to the ongoing conversation, always separated from organic content and, as the company promises, clearly labeled. Therefore, we should be able to know why we are seeing that specific ad and we will have the option to hide it. What about conversations. Along with the announcement of this test, OpenAI wanted to establish in writing the principles that, according to the company, will guide its advertising approach. It insists that ads will not influence ChatGPT responses, which will continue to be optimized based on what is most useful to the user, and emphasizes that conversations will not be shared or sold to advertisers. It also promises control: we can disable personalization and delete data used for ads. For adult users only. Not all users or all conversations are included in this test. The firm points out that the ads will only be shown to adults who are logged in, and that both accounts in which the user indicates, or the system estimates, that he or she is under 18 years of age, as well as content linked to sensitive areas, will be excluded. Health, mental health and politics are among the topics prohibited from appearing in advertisements. Someone has to pay for AI. Generative AI has become an extremely expensive technology to operate, while, as is often the case with services with a massive free plan, converting those users into subscribers is not easy, even with cheaper paid plans. OpenAI earns revenue from subscriptions and its API for developers, and in that context testing ads fits as one of the ways the company puts on the table to expand revenue without closing access. The financial hole. The economic context is best understood by looking at the numbers published at the end of 2025. According to financial documents seen by The Wall Street JournalOpenAI assumes that it will continue to accumulate very high losses for several years before achieving significant profits towards the end of the decade. The projection for 2028 is even more demanding, with operating losses that would reach $74 billion, driven mainly by the cost of computing. The competition is getting fiercerz. Added to this financial pressure is a competitive context much more demanding than that of ChatGPT’s first months. OpenAI’s initial leadership is no longer as undisputed as in 2022 and 2023, with rivals such as Google with Gemini and Anthropic with Claude reinforcing its offer and gaining presence. Staying ahead requires constant investment, not only in research, but also in infrastructure and operational capacity. The announcement does not close the debate, it opens it. OpenAI insists that this is a limited test with no long-term commitments, but the simple fact of introducing advertising sets a precedent. It remains to be seen if this model is limited to the United States or if it ends up spreading to other markets, and how users react to this change. Ultimately, the question is broader and affects the entire industry: who pays the real cost of artificial intelligence that aspires to be in the hands of everyone. Images | OpenAI In Xataka | If we ask Spaniards how they feel about AI, the answer is simple: more productive

OpenAI, Google and Anthropic fight among themselves. Samsung fights everyone else elsewhere

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Samsung has presented at the CES 2026 its “AI philosophy,” a grandiloquent concept that sums up its strategy: using its 430 million SmartThings users as moat (or ‘defensive moat’) against the invasion of AI in homes. Why is it important. OpenAI, Google and company remain focused on announcing the most powerful model. There is little to do against them on that side if you haven’t been doing it for years, so Samsung is playing something else that is not about winning the algorithm war, but about controlling where those algorithms live. SmartThings is not just an app. It is a platform Matter compatible that connects hundreds of millions of devices already in homes around the world. That means Samsung can add AI to products people already use, without asking them to buy anything new or change their habits. Others have to convince you to put a smart speaker in the kitchen. Samsung already has your refrigerator, your television, your washing machine and your vacuum cleaner. And everyone talks to each other. Between the lines. Samsung’s “AI philosophy” seems, above all, a response to Amazon with its Alexa+. Both proposals have things in common: they understand that if AI models tend to commoditize (to be technically equal until they are not easily distinguishable), the value is in who has the speaker in your kitchen, the TV in your living room and the refrigerator that knows what you eat. Samsung has been building that ecosystem for years and now it is activating it for something else. Implementation makes the difference: Family Hubwith AI and Gemini vision, recognizes what you put in and out of the refrigerator, suggests recipes and connects with other appliances. It’s real tracking so that when you ask yourself “what can I make for snack-dinner?”, the system suggests recipes based on what you have, not on an inventory you made by hand three weeks ago. Vision AI Companion It recognizes what you’re watching on TV and suggests recipes if food appears on the screen. Then send that recipe to the Family Hub in your refrigerator, which checks what ingredients you have and tells you what you’re missing. If you decide to cook it, send the instructions to the oven so that it is preheated to the exact temperature. AI Soccer Mode Pro Automatically adjusts image and sound when it detects that you are watching football. You can turn up the audience volume, turn down the commentators, or balance both. It’s AI applied to something as specific as “I want to enhance the field atmosphere” or “I want to prioritize the narrator’s voice.” It is perhaps not as attractive an approach as the war of chatbots that are increasingly capable of more, but maybe (just maybe) it will end up being more profitable. And something else: SmartThings as a Matter-compatible standard. That expands the potential ecosystem far beyond Samsung’s own products. Yes, but. There are two weak points in that strategy: Samsung depends on third-party models. Gemini is your main partner, also for the home, for the smart component. If the models run out commoditizingwe will have to compete on price. And in the price war there always appears a Chinese manufacturer willing to go lower. privacy. An ecosystem that knows what you eat, what you see, when you sleep or how you move is also an ecosystem that can monetize that data. The last threat It’s called Dreame. and there is a red flag On that second point: Samsung has announced an agreement with the insurer HSB to give discounts on home insurance in exchange for connecting home appliances to SmartThings. That is, saving some money in exchange for handing over your behavioral data. As what we already saw with health insurance and wearables. It’s a double-edged sword: if your behavior reduces your premium, it can also increase it. Or directly invalidate coverage. The bet. If it works, Apple will speed up with Home (previously HomeKit), Google will push with its Nest and Amazon will double down with Alexa+ and Ring. The battle is no longer for the best language model. It’s because more devices in more homes capturing more data. Samsung has been losing ground in mobile phones for years fruit of Apple’s clamp in premium and Chinese manufacturers in price. Also against LG in some appliances not to mention Chinese baking for the home. But in the sum of connected devices per home, it does not have so many rivals. That is its trump card: converting the fragmentation of its catalog into the advantage of its ecosystem. The question is whether consumers will give up control of their home in exchange for convenience. The answer determines whether Samsung ends up being the silent winner of the AI ​​era or simply the maker of gadgets that run other people’s intelligence. In Xataka | I would never have imagined answering a call from the washing machine. Until I tried the latest from Samsung Featured image | Screens even in washing machines and appliances that talk to each other: this is how Samsung imagines the future of the connected home

For OpenAI, 2026 will have a clear protagonist: voice

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In the last two months, OpenAI has unified several engineering, product and research teams with a single objective: to revolutionize its audio models. The startup is preparing a more natural voice model for this first quarter of 2026, capable of managing interruptions and speaking while you speak, according to a report from The Information. Why is it important. This movement not only seeks to improve ChatGPT, but also to place audio as the main interaction interface, moving screens to the background at least in certain use cases. This is what first-generation smart speakers tried, unsuccessfully, a decade ago. The bet is to build personal devices that work exclusively by voice, with a launch planned for mid-2027. The context. Silicon Valley has been heading in this direction for months: Meta added five microphones to his Ray-Ban Meta 2 to isolate voices in noisy environments. Google is testing audio search summaries. Tesla is going to integrate Grok in their cars to be able to control certain aspects conversationally. In detail. The initiative is led by Kundan Kumarformer researcher of Character.AI which arrived at OpenAI this summer. The new model seeks to sound indistinguishable from a human voice and maintain fluid conversations without the typical cuts of current assistants. Besides, the May 2025 purchase of io Products Inc.Jony Ive’s $6.5 billion startup, marks a turning point. Ive, former head of design at Apple, now leads creative responsibilities at OpenAI with a team of 55 people. Its philosophy, already publicly announced, seeks to reduce addiction to devices through interfaces that do not require constant visual attention. What is happening. OpenAI contemplates several formats: screenless speakers, smart glasses (a clearly booming segment) and a pen-shaped, voice-operated device. Foxconn will manufacture the first product, rumored to be a context-aware pen, in Vietnam. These devices are positioned as complements to laptops and mobile phones, not as substitutes, at least for now. Yes, but. Not all “screenless AI” bets have worked. The Humane AI Pin burned hundreds of millions and defrauded its buyers by offering a half-hearted product that would stop working after the company was sold to HP. Several pendants have been in a similar line for almost two years, without any to date having managed to go beyond being a curiosity. And now what. The schedule is quite tight: New audio model before spring 2026. First dedicated device for sale a year later. OpenAI will go from being a software provider to competing directly in consumer electronics. The question is whether they will achieve what Humane and others have failed to achieve: make people want to talk to their devices without being able to look at a screen. In Xataka | The new Ray-Bans from Meta will allow you to cross a line: seem present while you are completely absent Featured image | Xataka with Mockuuups Studio

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