Big

Big Tech is turning India into the new darling of its AI expansion

by

Microsoft just announced an investment of $17.5 billion in India over the next four years, the technology giant’s largest in Asia. amazon has followed in his footsteps with 35,000 million dollars until 2030. Google already had announced 15,000 million for the same period. The big tech companies They are turning to the Asian subcontinent like never before, and it makes all the sense in the world. Why India has become irresistible. The Asian country brings together three characteristics that make it a strategic target for technology companies: a population of more than 1.4 billion inhabitants with growing access to the internet and smartphones, infrastructure costs significantly lower than in other Asian markets such as Japan or Singapore, and a government that actively promotes digital transformation. According to Ericsson dataan active smartphone in India consumes an average of 36 GB per month, 44% more than in North America and 71% more than the global average. Additionally, the country’s data center capacity has increased 2.5-fold since 2021, reaching 1.5 gigawatts. The perfect time for investments. The race for artificial intelligence has accelerated this trend. Microsoft plans to open its largest cloud region in India, located in Hyderabad, by mid-2026. The company will also expand its three existing data center regions in Chennai, Hyderabad and Pune. For its part, Google will build an AI hub in Visakhapatnam which will include data centres, power sources and fiber optic networks. These investments seek to stay ahead of the competition in a market where demand for cloud services and AI tools is growing rapidly among companies, startups, and government agencies. Beyond data centers. Investments are not limited to physical infrastructure. Microsoft has committed to train 20 million workers from this country in AI skills by 2030, doubling its initial goal. The company claims to have already trained 5.6 million people since January 2025. Amazon, for its part, claims to have digitized to more than 12 million small businesses and enabled $20 billion in cumulative e-commerce exports. Both companies are integrating their technologies into the Indian government’s digital public platforms, such as the e-Shram and National Career Service systems, which serve more than 310 million uncontracted workers. The battle for digital sovereignty. A key element of this strategy is the proposal of “sovereign” solutions. Microsoft has launched its Sovereign Public Cloud and Sovereign Private Cloud specifically for customers in India, allowing data and workloads to remain within the country’s borders. As the company announced, Microsoft 365 Copilot will process data within India by the end of 2025, making the country one of the first four global markets to receive this capability. “This investment signals India’s rise as a reliable technology partner for the world,” counted Ashwini Vaishnaw, Minister of Electronics and Information Technology. There are challenges. Despite investment enthusiasm, India presents significant obstacles. Irregular power supply, high energy costs and water shortages in several regions complicate the expansion of resource-intensive data centers. These factors could slow the deployment of AI infrastructure and raise operating expenses for cloud providers. However, New Delhi is deploying incentives for AI and semiconductor projects, it has relaxed some regulatory requirements and fosters alliances with telecommunications operators and local technology companies to continue adding value to the global AI race, from local territory. Capacity or mass consumerism. The interesting thing would be to know if India will obtain real technological capacity of its own in the face of so much investment or if it will simply consolidate itself as another consumer market for Big Tech. The government has approved semiconductor projects worth more than $18 billion under its India Semiconductor Mission, seeking to reduce dependence on imported chips. “India is becoming a hot spot for technology investments,” pointed out Dan Ives, analyst at Wedbush Securities. It remains to be seen what all this materializes into. Cover image | İsmail Enes Ayhan and Naveed Ahmed In Xataka | Steve Jobs hated obedient teams: he paid his managers to contradict him, not to obey him

We criticize the EU a lot with its obsession with regulating Big Tech. There are at least two examples that justify this obsession

by

The Digital Markets Act (DMA) and the AI Law They are two of the great exponents of something that the European Union is highly criticized for: his regulatory obsession. It is true that these regulations restrict companies and can slow down European innovation – this has happened with AI – but these worrying side effects are accompanied by others that are much more welcome. Especially because this regulation has made the world a little more interoperable. There are two great examples of this. First example: USB-C. The adoption of the USB-C connector as the mandatory Being able to charge mobile devices and other hardware products is undoubtedly positive for users. Although the standard has its own problemsits use as a universal connector has avoided the use of proprietary connectors that made interoperability difficult and caused greater problems for the environment in the form of electronic waste. Second example: Universal AirDrop. We have also recently seen how Google offered support on the Pixel 10 to be able to transfer data to an iPhone or iPad thanks to AirDrop support in QuickShare. That support will be extended to other Android phones soon, and that improves interoperability between both platforms. From now on it will be much easier to transfer photos directly from mobile to mobile (be it iPhone or Android) wirelessly, and there we have to thank the European Unionwhich forced Apple to modify the way AirDrop works to comply with the DMA. And there is still more. These efforts to improve interoperability will soon be even more rewarded. Google and Apple have announced their collaboration in making portability between different platforms much easier. Thus, changing from an Android mobile to an iPhone or vice versa it’s going to be easier thanks to the efforts that both companies are making. Why have they made that decision? Again, due to the “regulatory obsession” of the EU. The EU sticks out its chest. Euroregulators in fact celebrated this decision by Google and Apple these days, and affirm that the renewed interoperability “is an example of how the Digital Markets Act (DMA) offers benefits to both users and developers.” That same regulation was what allowed iOS 26 to add support to transfer an eSIM to and from an Android mobile, for example. The EU against (almost) everyone. The EU’s regulatory obsession may often be criticized, but the truth is that it is the great reference when it comes to confronting the unlimited ambition of Big Tech. It has done so in the past with the RGPD or with the DSA and the DMAand now with the AI ​​Law. In all of them the ultimate goal is normally reasonable, although it often happens that the regulation ends up being exaggerated or, as with AI, comes too soon. The last chapter of obsession. European regulators suspect that Google is using content from news publishers and other creators to train their generative AI without permission and without offering compensation. These practices may constitute an abuse of Google’s dominant position in the market, which would negatively affect both competition and content publishers themselves. This research also affects “AI Overviews,” which extract and summarize information from other websites, potentially reducing traffic to those original sources. Brussels Effect. The application of these regulations in a market like the European one causes the so-called “Brussels effect”. For large technology companies such as Apple or Google, it is more efficient and profitable to adopt a single standard for all their products worldwide than to design specific versions only for the European market. Thus, this obsession not only benefits us European citizens (when it does), but also ends up becoming the de facto standard worldwide, as has happened with the USB-C connector. This regulation ends up becoming a powerful engine of global change. It is not perfect by any means, and we are seeing it with the AI ​​Law or the cookie nightmare, but even in those cases the EU seems to have realized and is trying to change things. The challenge of the AI ​​Law. If the DMA pursues interoperability, the AI ​​Law seeks transparency and compensation to prevent these monopolies from consolidating in this era of generative AI. The investigation into Google is not only a defense of copyright, but a preventive measure against competition. Meanwhile, the US and China seem turn a blind eye and we have even seen how the leaders of big technology companies They ask that copyright laws not be applied arguing the famous “fair use” of those contents that have little de jusot, at least for content providers. In Xataka | All the big AIs have ignored copyright laws. The amazing thing is that there are still no consequences

While Big Brother sinks, ‘The House of Twins 2’ triumphs with a wild, online and unfiltered reality show

by

This past December 7, a digital reality show achieved what seemed impossible: surpassing the format that for decades had been the undisputed king of Spanish reality shows, ‘Big Brother’. ‘La Casa de los Gemelos 2’, produced by brothers Carlos and Daniel Ramos for YouTube and Kick, attracted more than 200,000 simultaneous viewers during its inaugural gala. The figure is especially significant when compared to the parallel collapse of ‘Big Brother 20’, which Mediaset has been forced to cancel early after registering historic audience lows. But what is broken is not the format, but how it is presented. The first edition. How we count on your daythe first edition of ‘The House of Twins’, released on October 12, 2025, raised questions about the limits of unfiltered entertainment. That experiment, an imitation of ‘Big Brother’ that worked with the fauna cultivated in the Twins’ debates, completely lacked structure: there was no presenter or rules, and the Ramos trusted that the mere coexistence of explosive TikTok personalities would generate content for a full week. The result was both an operational disaster and a viral phenomenon. The program reached peaks of 48,000 viewers connected simultaneously and exceeded one million accumulated views in just nine hours of broadcast. The house became the scene of physical fights between contestants such as La Marrash and La Falete, there was visible consumption of alcohol and substances, destruction of furniture and moments of tension that they bordered on criminal. The program was emergency canceled in the early hours of October 13. A subsequent debate attracted 150,000 spectators and became trending topics number one in Spain. Reality television without filters. The next step was to professionalize the format, but without losing that fundamental idea along the way. And the Ramos bet heavily on this new iteration. As revealed by Kiko Hernández himself in the program ‘We are nobody’, the production has a budget of more than 600,000 euros, a figure well above what is usual in Spanish digital entertainment. The prize for the winner is doubled compared to the first edition: 100,000 euros for those who resist until December 31. Familiar faces. The creators have gone directly to the Mediaset ecosystem and derivatives: José Labrador, from ‘Gandía Shore’; Eros Vidal and Gabriella Barbu, from ‘Temptation Island’; Nissy Lahr, from ‘Secret Story’, make up a core of personalities that the Spanish public already knows. Them they add up Kiko Hernández as master of ceremonies, Víctor Sandoval as “dictator” of the house, and Coto Matamoros as “executioner” in charge of punishments. To bait the audience. From the first moment at the premiere, audiences skyrocketed and the program became trending on social networks. Among the most significant moments, an accidental nude of La Marrash during a moment of lack of control or the reunion between Kiko Hernández and Coto Matamoros, two figures who had not met on screen since ‘Crónicas Marcianas’, and between whom great tension was palpable. Kiko took the opportunity to attack Mediaset and to the fame that ‘Big Brother’ drags: “There has never been a rape here, right?”, he said in reference to the case of Carlota Prado in ‘Big Brother Revolution’. The ‘Big Brother’ disaster. While ‘The House of Twins 2’ celebrated its digital success, ‘Big Brother 20’ was the star of the most resounding failure in the history of the format. The premiere in September 2024 it barely achieved a 17.4% sharesetting the program’s worst inaugural mark. But the decline accelerated week after week until hitting rock bottom in November with a devastating 11.3% share and only 636,000 viewers. The panic in Mediaset was unleashed with the abrupt cancellation of the daily strip and erratic programming decisions. The domino effect reached the entire chain: Telecinco closed November with a 9% monthly quota, its worst historical record for that month, chaining five consecutive months under the 10% threshold. On December 5, Mediaset decided close the program before Christmasproducing a triple expulsion to accelerate the pace of the programs. Two months in broadcast, record down. The problem is not the format. Some analysts talk about a flat casting and without charisma, too sweetened content, and viewers have complained that practices that gave excitement to the galas, such as on-set interviews, have been abandoned. ‘The House of Twins 2’ recovered precisely the elements that made the original ‘Big Brother’ great: 24-hour retransmission without manipulative editing, authentic profiles even if they are uncomfortable, and freedom for conflicts to develop organically. While Telecinco must comply with strict regulations on child protection schedules, advertising limits and content control, the Ramos brothers operate on YouTube and Kick with almost total freedom which allows them to experiment without corsets. The program allows itself the morbidity and transgression that the public demands, but without the restrictions that paralyze conventional television. In Xataka | ‘Temptation Island’ is one of the few things that works on Telecinco. So much so that they are already recording a new season

Google’s TPUs are the first big sign that NVIDIA’s empire is faltering

by

It was 2013 and Jeff Dean, one of the directors of Google, he realized something along with your team: if each Android user used their new voice search option for three minutes a day, the company would have to double the number of data centers to cope with the computational load. At the time, Google was using standard CPUs and GPUs for this task, but they panicked and realized they needed to create their own chips for those tasks. This is how it was born Google’s first Tensor Processing Unit (TPU)an ASIC specifically designed to run the neural networks that powered its voice services. That grew and grew and in 2015, before the world knew it, those first TPUs accelerated Google Maps, Google Photos and Google Translate. A decade later, Google has created TPUs so powerful that they have almost unintentionally become a surprising and unexpected threat to the almighty NVIDIA. There it is nothing. Blessed panic. Google TPUs keep their promise Until now when an AI company wanted to train its models, turned to advanced NVIDIA chips. That has changed in recent times, and in fact we have seen two recent signs that certainly pose a turning point. Missing from that timeline is the last and most striking member of this family, Ironwood, presented in April 2025. Source: Google. The first is the release of Claude Opus 4.5, an exceptional modelespecially in programming tasks. Those responsible for Anthropic already they explained that this new model does not depend only on NVIDIA, but combines the power of three different proposals: that of NVIDIA, but also Amazon’s Trainium and Google’s TPUs. But it is also that Google has given the bell because your brand new AI model Gemini 3 He has been exclusively trained using the new Ironwood TPUs that were presented in April and have become a real sensation. As we said, Google started that project in 2013 and launched its first TPU in 2015, but that internal need became a blessing, because what Google I couldn’t know is that these TPUs would end up arriving at the right time: the launch of ChatGPT turned them into a fantastic opportunity to strengthen your AI infrastructure, but also to be used for training and inference of your AI models. From there we end up reaching the current Ironwood TPUs, which in their seventh generation are exceptional both in inference as in training (as its use has demonstrated for Gemini 3). Google has managed to squeeze even more out of its chips and has doubled the peak FLOPS per watt compared to its previous generation. Source: Google. The efficiency and power of these chips gives a very notable jump compared to their predecessors, and for example they achieve double FLOPS performance per watt which was achieved with Trillium chips. If we compare them with the TPU v5p of 2023, the chips manage to reach 4,614 TFLOPS, 10 times more than the 459 TFLOPS of those models from two years ago. It’s an extraordinary leap in performance (and efficiency). The key to 2025: Google now lets others use its TPUs But in the evolution of TPUs there is another differentiating element in 2025. This has been the year in which Google has stopped “being selfish” with its TPUs. Before only she could use them, but in recent months she has reached agreements with OpenAI —which also seeks make your own chips— and especially with Anthropic. The performance of Ironwood is already comparable to that of the GB200 and even the GB300 from NVIDIA. Source: SemiAnalysis. That second alliance is especially monumental as part of that outsourcing strategy. Google is not only renting capacity in its cloud, but facilitating the physical sale of hardware. The agreement covers one million TPUs: 400,000 units of its TPUv7 Ironwood sold directly through Broadcom, and 600,000 rented through Google Cloud (GCP). In a deep report in SemiAnalysis It is revealed how from a technical perspective, the TPUv7 Ironwood is a formidable competitor. The performance gap with NVIDIA is closing, and Google’s TPU is practically the same as NVIDIA’s Blackwell chip in FLOPS and memory bandwidth. However, the real advantage lies in the cost. The Total Cost of Ownership (TCO) of an Ironwood server is estimated to be 44% lower for Google than for an NVIDIA GB200 server, allowing the search giant to offer very competitive prices to clients like Anthropic. To help even more in that race, they point out in SemiAnalysis, Google has another ace up its sleeve. This is Google’s Inter-Chip Interconnect (ICI), a network architecture that allows up to 9,216 Ironwood chips to be connected using a 3D torus topology. Google also uses optical circuit switches that allow optical data to be routed without electrical conversion, reducing both latency and power consumption. This allows you to reconfigure the topology of that network on the fly to avoid (or mitigate) failures and optimize different types of parallelism. NVIDIA’s “moat” with CUDA is narrowing We have often repeated that although semiconductor manufacturers already have flashy chips —tell AMD– In fact the true strength from NVIDIA is in CUDAthe software platform that has become the de facto standard for AI developers and researchers. Google also wants to change things here. During the last few years the company tried to focus on Python libraries such as JAX either XLAbut in recent times has started prioritizing native PyTorch support —a great competitor of TensorFlow— in its TPUs. That’s crucial to making it easier for engineers and developers to start migrating to their TPUs instead of NVIDIA GPUs. Before it was possible to use PyTorch on TPUs, but it was cumbersome, as if one had to speak a language using a dictionary in real time, while for NVIDIA GPUs that was the “native” language. With XLA Google used an intermediate library as a translator to be able to use PyTorch, but that was a nightmare for developers. Native support allows Google TPUs to behave just like NVIDIA GPUs in the … Read more

Spain already sells more electric cars and plug-in hybrids than gasoline. With a (big) asterisk

by

The plug-in vehicle is expanding in Spain. For the first time, our country has recorded more sales of plug-in vehicles (plug-in hybrids and electric) than gasoline and, of course, diesel cars. Or, in other words, they add up to more than pure combustion vehicles per fuel type and come close to exceeding the sum of both. The data, however, has important nuances. you will have read it. And it makes sense, because the data is striking. For the first time, Spain has added more sales of plug-in vehicles than pure combustion vehicles. The figures for last November are, according to ANFACthe following: Gasoline cars: 21,147 units Diesel cars: 4,979 units Plug-in hybrid cars: 11,999 units Electric cars: 9,316 units Therefore, the duel is as follows: Sum of combustion vehicles: 26,133 units Sum of plug-in vehicles: 21,315 units. The first. The news is that for the first time the sum of cars with plug They have surpassed pure combustion gasoline. Cars that do not have any type of electrification continue to represent 22.47% (28.15% if we extend the photograph to the entire year 2025) but this energy is clearly declining. Cars with a plug have already reached 22.65% market share. But the big change is in the year’s accumulated results. This has shot up to 19.29% when a year ago it stood at 11.06%. Growth between January and November 2025 has skyrocketed by 100.12%. That is, twice as many cars of this type have been purchased. The hybrids. Once again, the non-plug-in hybrid is the best-selling type of car. According to ANFAC data, it was the best-selling type of car last November, with 41,034 units and a market share of 43.60%. This data does not stop growing. In the accumulated of the year, the market share is 41.85% and is almost four percentage points more than in the same period of 2024 (38.09%). In total, they have grown 26.04% in sales so far this year. These hybrids are mostly gasoline. But of the more than 40,000 units last November classified as hybrids, 3,852 of them are hybrids with diesel engines, which begins to give some clues about what we are talking about. Right now, non-plug-in hybrids that run on diesel are 1,000 units away from surpassing pure combustion diesels. Why do we talk about an asterisk? Because in their accounts, the microhybrid cars They count the same as a hybrid. There is no way to know how many of the more than 40,000 hybrids sold in Spain in November 2025 and the more than 437,621 units sold so far this year actually correspond to electric hybrids. What is popularly known as a “Toyota hybrid.” In fact, among the best-selling hybrids so far this year we find cars like the Citroën C4, the Dacia Dusterhe Renault Austral or the Nissan Qashqai. All of them have electric hybrid versions but also light hybrids (also called mild hybrid or microhybrids). In fact, the last two only have versions with the ECO label and although of the four engines, two are mild hybridthey all add up as hybrids in the final count. The controversy of mild hybrid. The controversy with the light hybrid or mild hybrid It comes because it is an effective formula for manufacturers to minimally electrify a car to receive approval from the authorities but with a purely cosmetic impact on the car’s consumption or emissions. With the same engine, a car that uses this type of hybridization barely improves the data approved by its pure combustion brother. In Spain, these cars have some advantages over pure combustion cars despite the fact that their real impact is minimal. In MadridFor example, a car mild hybrid It is exempt from paying 75% of the Tax on Mechanical Traction Vehicles (IVTM) during the first six years. These cars also receive the ECO label from the DGT, which is key when receiving more benefits in Low Emission Zonesspaces where circulation is restricted taking into account the car’s environmental labeling. In some cities they also have advantages such as discounts when parking on the street. A redefinition? It is not expected. Neither when it comes to defining them as hybrids nor when it comes to giving them the ECO label. Recently, in the Congress of Deputies The new Sustainable Mobility Law was approved. It was intended to include the study of a review of environmental labeling, but an amendment by the Popular Party prevented it from being included. this will take place. The creation of a new category or the non-provision of the ECO sticker to these cars is, however, a problem. The main obstacle is what to do with the thousands and thousands of cars mild hybrid that have already been sold and that have received their ECO sticker. Provide different labeling to the new cars, despite the fact that they are in the same situation as the current ones, can create a discriminatory situation, but a retroactive withdrawal of the stickers already delivered is not contemplated either. Photo | juice In Xataka | Catalonia wants to restrict circulation to cars with DGT label B in the ZBE: these are the deadlines and the cities

The big names in AI are fighting over neuroscientists like they were soccer stars

by

AI companies have found their new hiring obsession. After the engineers prompts and multimodal model designers, now they are looking for neuroscientists at the stroke of a checkbook. Why is it important. Language models have become common territory for all technology companies. The competitive advantage is no longer in having a LLMbut in making it more efficient and predictable. And to do that, they need to better understand how the human brain works. The Battista case. Aldo Battista At New York University, he was researching brain decision processes when faced with subjective options. In September he made the leap to Meta, according to what he says Semafor, to apply that knowledge to content recommendation systems on social networks. The most notable change: the speed of impact. Instead of publishing papers that perhaps no one will read, the changes in algorithms show immediate results in the behavior of millions of users. His academic research on how we choose what to have for dinner, for example, now helps predict which video will hook us on Instagram. There are more examples: OpenAI indeed approached Merge Labs a few months agoa brain implant firm competing with Neuralink. Akshay Jagadeesh joined OpenAI as research resident after almost ten years studying the brain and visual perception, focused on using his experience in computational neuroscience to improve AI models. At the ‘EBRAINS Summit 2025 – Neuroscience, AI & Technology’, a European event that brings together neuroscientists, technologists and industry, several biographies highlighted the jump from academic profiles to advice on AI startups. Ruslan Salakhutdinov is part of Apple AI Research. Although he is best known for Machine Learninghas worked for years on models inspired by biological systems and as a university professor, but Apple hired him as Director of AI Research. The logic of the signing. The basics of artificial neural networks are decades old, but taking them further requires looking to biology. Two specific areas are of particular interest to companies: Energy consumption. Interpretability. A human brain performs almost unlimited operations with just 20 wattsbut AI systems require much more energy for equivalent tasks. That gap is the Holy Grail: whoever reduces it will immediately gain an advantage. The money trail. In the offers You can see the logic of the level they are reaching economically: A researcher position at OpenAI, in the area of ​​mathematical sciences and applied to AI, announces base salaries ranging from approximately $178,000 to $342,000 annually, not counting bonuses or stock packages. In other private AI labs, the ranges for researchers with a mix of AI and neuroscience move in a similar range, from about $150,000 to $350,000 a year. OpenAI has come to offer total packages that reach the range of millions of dollarsincluding salary, bonus and stocks. It’s not the norm for everyone, but it helps explain why some leading neuroscience researchers are negotiating contracts that look more like those of sports stars than those of a university professor. Between the lines. Understanding why a model decides something matters more and more. For decades, neuroscience has developed methods to interpret complex decision processes. Those same tools can be applied to algorithmic black boxes. Yes, but. The phenomenon is not new, it has only intensified. Apple, Google or Neuralink have been hiring these profiles for years. The difference is in the scale and current urgency. Matthew Law works at OpenAI after studying at Stanford. Your diagnosis: AI companies have expanded their recruiting focus beyond traditional computer science graduates. They search the entire available scientific base. And the pool of pure developers is beginning to dry up. The background. This race says something without having to say it: there is a certain desperation in the AI ​​industry to find differential advantages. If the next breakthrough innovation is in university neuroscience labs, Silicon Valley will not hesitate to empty them. Exorbitant salaries and practically unlimited funding are weapons that universities will hardly be able to counter. In Xataka | Technology companies no longer even pretend to seek general artificial intelligence. And the “godfather” of AI has gotten tired Featured image | Josh Riemer

It is surely the best model for programming, but it still has a big problem

by

Anthropic has announced Claude Opus 4.5, its most advanced AI model to date. The company claims it is the best in the world for programming, intelligent agents and computing usage, beating OpenAI’s GPT-5.1 Codex-Max and Google’s Gemini 3 Pro. It has also arrived a few days after both as well as Grok 4.1. The general overview. The new model has achieved 80.9% accuracy in SWE-Bench Verified, the benchmark reference to evaluate software engineering capabilities. Anthropic has also put it through its own hiring test for engineers – notably difficult, with a two-hour limit – and the model has outperformed every human candidate who took it. Why is it important. This release solidifies Anthropic as a leader in AI tools for programming. Even Meta uses Claude for its internal Devmate code assistantdespite competing directly with the company in other areas. The improvements are not limited to the code. Opus 4.5 stands out in: Creation of documents, spreadsheets and professional presentations. Deep research tasks with multiple sources. Advanced visual and mathematical reasoning. Management of subagent teams for complex multi-agent systems. In figures. Additionally, Anthropic has drastically reduced the price of its API: from $15/75 per million tokens entrance/exit at 5/25 dollars. And the model is more efficient than its predecessors: In medium effort mode, it equals the performance of Sonnet 4.5 but consumes 76% less tokens. In high mode, it beats Sonnet 4.5 by 4.3 percentage points using 48% less tokens. The context. The company has introduced that “effort” parameter (low, medium, high) that allows developers to control how long and tokens invests the model in solving a problem. It is a trend that OpenAI has also adopted in its latest modelsseeking efficiency without sacrificing quality. In detail. Along with the model, Anthropic has updated its development platform and consumer applications: Claude Code Improves your planning mode: Asks clarifying questions before creating an editable execution plan file. As seen with the Deep Research on duty. Claude for Chrome is now available to all Max users (around $100-$200 per month depending on limits), allowing AI to manage tasks across multiple browser tabs. Claude for Excel opens to Max, Team, and Enterprise users, with support for charts, pivot tables, and file uploads. Endless conversations– Long conversations no longer run into context window limits thanks to automatic summaries. Yes, but. The big problem with Opus 4.5 and Claude in general is its usage limit. Even for Pro and Max subscribers of the first levelthe tokens They sell out quickly. They take five hours to restart from the first message sent. The Opus model, being the most powerful, is also the one that consumes the quotas the fastest. This is the main source of frustration for users who pay $20 or even $100 a month. Anthropic has slightly increased the limits for Max and Team Premium, but the experience is still far from what is expected in a service of this category. Between the lines. The release of Opus 4.5 restores balance to the Anthropic model family. For the past two months, Sonnet 4.5 was outperforming the older Opus 4.1, leaving little reason to use the more expensive model. Now, with three clearly differentiated models (Haiku, Sonnet and Opus), each one has a specific purpose in terms of cost, speed and capacity. And now what. Anthropic follows a clear strategy: position itself as the premium provider for knowledge professionals and developers, competing directly with OpenAI and Google in the field where accuracy and reliability matter most. But if you don’t solve the problem of usage limits, you risk frustrating the very users who could get the most value from the model. In Xataka | AI is transforming the relationship we have with our own ideas: we no longer create, we just “edit” ourselves Featured image | Anthropic

Europe had been asking for a big hit on the table for some time. Revolut just gave it a huge valuation

by

Revolut was born in London as a fintech focused on digital payments and today it has become one of the most watched companies on the European financial landscape. It has already exceeded 65 million customers worldwide and its ambition is to reach 100 million, with its sights set on becoming the first global bank born from technology. Not only does it add users, it also builds physical structures: Spain was the country chosen to install its first ATMs with own brand. Now, he has added one more element to his story: a valuation of $75 billion. The operation validated by some of the largest funds in the world. The sale of Revolut shares was not carried out by traditional banks, but by some of the most influential investment funds in the technology sector, such as Coatue, Greenoaks, Dragoneer and Fidelity Management & Research Company. They were joined by names linked to large companies such as NVentures, NVIDIA’s investment fund, as well as Andreessen Horowitz, Franklin Templeton and T. Rowe Price. According to Bloombergthis operation has placed Revolut as the most valuable startup in Europe. It also allowed employees to sell shares, something Revolut has already offered on five occasions. A valuation that does not leave the stock market. Revolut remains a private company, so its shares are not available on public markets and its valuation is not set on the stock market. It is estimated from the price that investors accept when they buy a package of shares in operations like this: that price is taken as a reference to calculate how much 100% of the company would be worth. On this occasion, Revolut has made it easier for employees and existing shareholders to sell part of their stakes, while incorporating new investors into the capital. The result is a valuation that, as we say, sets the bar at 75 billion dollars. Revolut remains a private company, so its shares are not available on public markets and its valuation is not set on the stock market. Although it is still private, Revolut does publish figures that explain part of the investment enthusiasm. In 2024 it recorded $4 billion in revenue, with a growth of 72%, and $1.4 billion in profit before taxes, an increase of 149%. In 2025, the pace continues thanks to the performance of its business division, which already moves 1 billion annually. In addition, the company has made relevant regulatory progress: it has the final banking authorization for its next launch in Mexico, it has a banking incorporation license in Colombia and is preparing its arrival in India. Spain as a pilot bank. The Spanish market has become one of Revolut’s strategic laboratories. Here it inaugurated its first ATM network in Europe, with 50 machines installed and plans to expand to 200 next year. At the same time, it is exploring its entry into private banking by hiring specialized profiles. According to Expansionthe project is in the initial phase, but marks a symbolic step: it no longer competes only in mobile, but also in segments reserved for traditional banking. Europe gains visibility, but the United States sets the pace. That Revolut is the most valuable startup in Europe, as Bloomberg points out, demonstrates the moment that the technology sector is experiencing on the continent. Even so, the comparison with the United States remains significant: Reuters puts OpenAI at $500 billionabout 6.67 times above Revolut. There, the most notable startups come not only from fintech, but also from aerospace, autonomous vehicles, blockchain, design or productivity. Europe, on the other hand, has concentrated its progress mainly on fintech, quantum computing and corporate software. The $75 billion valuation does not automatically make Revolut a global bank, but it does send a clear message: large international funds are willing to back a model that mixes technology, financial services and international ambition. The next step will be to sustain that growth while obtaining key licenses, such as the one it is seeking in the United Kingdom. What is happening with Revolut shows that Europe can generate relevant players, although it remains to be seen how far they can go in a field historically dominated by American banking and technology. Images | Revolut In Xataka | A few weeks ago Amancio Ortega collected 1,552 million from Inditex: he just invested them in the second largest purchase in its history

the last one caused a big change in their way of living

by

For ten years, in Kibali National Park (Uganda), a silent and brutal war was fought. Its protagonists were not humans, but the community of Ngogo chimpanzees largest known, which maintained a constant conflict with its neighbors until they ended up exterminating them to keep their territory. Now science has wanted to find biological meaning in this, and it has succeeded. Something natural. From the outside, this conflict can be seen as something very bloody, like the one we see between humans themselves to dominate a specific territory. But science believed that there was something more behind it, and in the end it has been seen that these wars They are more natural than we think within nature itself. And it gives us a concrete idea of ​​how the minds of these animals work. The PNAS scientific journal just found the biological logic behind this massacre, and has not hesitated to confirm that we are facing an evolutionary strategy very profitable. After the victory, the females in the winning group not only doubled their fertility, but infant mortality plummeted. A spoil of war. The investigation, led by Brian Wood and veteran anthropologist John Mitani, puts numbers to this brutality. And in this lapse of time the Ngogo expanded their domains by 22% at the cost of eliminating the neighbors who were occupying it in that case. But just like humans, we often create wars. to get more resourcesanimals seem to do something similar. This territorial expansion brought with it a great abundance of food resources that completely transformed the demographics of the group. To get an idea, the researchers in this case compared data from the three years before the conquest with those from the three years after. In this case it was seen that before the victory there were only 15 births in the group, while after the victory there were 37 new offspring. And it is not something random, since it is the first time that cooperative killing between groups has been linked to “territorial gain and greater reproductive success.” The biological sense. But beyond the fact that more chimpanzees are born in this environment, it has also been seen that much more survive. And in the chimpanzee population, infant mortality is really high because they suffer from serious malnutrition at the beginning of their lives, as well as diseases or infanticide. The data is quite clear. Before winning the war, 41% of the offspring died before they were three years old. After annexing neighboring territory and eliminating border threats, that figure radically dropped to 8%. Because? The equation is quite simple: more food in the environment, less competition and greater security as there are not so many enemy incursions that kill their young. Josep Call, a primatologist at the University of St Andrews, defines it as “biological rationality”. It is not a moral decision, it is pure natural selection: the genes of those who successfully apply this violence are much more likely to perpetuate themselves. Death patrols. A question that we can ask ourselves in this case is how an animal with these characteristics can be organized to go to war. And although we may think that they do it without thinking about it first, the reality is that they organize very well calculated border patrols in their territory. Upon reaching the border, these animals completely change their behavior, as they become much quieter to maintain stealth, with a strategy that is quite similar to what we can see in a human military exercise. The moment they encounter a rival group, if they are outnumbered they know that they will not be able to win and the smartest thing to do is to retreat. But if the situation is contrary, it will be attacked without mercy. Attacks include hitting, biting and dismembering. It is a coordinated violence that, in the case of the Ngogo, was favored by an unusual demographic factor: they had a disproportionate number of males, which allowed them to form patrol “squads” that were more lethal than those of their neighbors who did not have this advantage. War? Although the parallel with human conflicts is inevitable, scientists prefer the term “intergroup violence.” The reasons that exist to defend this difference are that among chimpanzees there is no ideology, but rather they do it exclusively out of biological necessity, such as having food or providing for the smallest members of the community. And the truth is that annihilating the neighbors is one of the smartest ways to achieve this. Images | Satya deep In Xataka | These researchers are not only convinced that chimpanzees can talk, but that we have proof since 1962

The emir of Qatar travels in a private jet so big it helped Sardinia airport upgrade

by

In 2021, the airport Olbia Costa Smeralda In Sardinia, it undertook work to expand its runway to be able to receive long-distance flights, thus opening the door for international airlines to bring a greater volume of tourists to the island. However, the inauguration of this work was somewhat special. As and how did he count Luxury Launchesthe ceremony inauguration of the new track It starred the Emir of Qatar, Tamim bin Hamad Al Thani, but he did not do so by unveiling any commemorative plaque or cutting any ribbon. He did it bravely: landing his huge private jeteither. Who said fear? A private jet so big that it changes the category of the airport In the summer of 2021, the works on the Sardinian airport had just been completed. In an attempt to escape the scorching heat of Doha, the emir wanted to spend a few days of relax in the Mediterranean. Neither quick nor lazy, the president gave the order to embark to his crowded entourage who usually accompanies him on his private plane, and they headed to Sardinia. The Boeing 747-8, in addition to being one of the largest airplanes in the worldis the plane that Qatar Amiri Flight, the airline owned by the Qatari emirate, has assigned as a private plane for the top leader of the country. The emir’s plane, valued at around 370 million euros, has impressive dimensions, being 76 meters long, more than 68 meters wide and weighing close to 450 tons at takeoff. Qatar Boeing 747-8 Amiri Flight. The “private jet” of the emir of Qatar Olbia airport was already a key point due to its capacity to move almost 1.8 million passengers in 2008, operating mainly with domestic flights and some destinations in Europe. The infrastructure had just been expanded, lengthening the main runway by about 300 meters to a length of 2,740 meters, the safety zones were expanded and the taxiway was improved, which speeds up the approach to and departure from the runway. In principle, there would be no problem for the huge private jet to land. There was only one small detail: the track had not been tested previously and, in fact, It wasn’t even approved so that planes the size of the emir’s 747-8 could land there. Unimportant details. Olbia Costa Smeralda airport in Sardinia after its expansion As the airlines had not yet scheduled any long-haul international routes from that airport, the airport authorities took advantage of the visit of your important tourist to officially certify the ability to operate this type of flights that use aircraft such as the Boeing 747, Boeing 777, the Airbus A330, the Airbus A340. If the emir could land with your private jet loaded with his entourage, international tourists could too. The operation was carried out without incident, confirming that both the length and the paving of the runway were adequate to support the operations of these air giants. According what was published through the local environment The New Sardegnathanks to the inaugural maneuver of the private jet of the Emir of Qatar, in November of that same year the first flights connecting Sardinia with Los Angeles, China and Singapore with direct flights were inaugurated. The emir of Qatar: main interested party Even if all precautions had been taken during the landing operation, being the first aircraft of its kind to use the runway always entails some risks. However, the emir of Qatar was especially interested in international planes being able to land on that runway. full of tourists. The reason is easy to guess. The most prestigious hotels, marinas and resorts on the Emerald Coast belong to Emerald Holdingwholly controlled by the Qatar Investment Authority. Hotel Cala Di Volpe in Sardinia. One of the five-star hotels of the Emir of Qatar We are talking about a series of five-star hotels that offer luxury stays on the shores of the Mediterranean for clients as select as the Emir of Qatar. Therefore, it is not strange that the highest representative of this hospitality empire opens the way for millionaires from all over the world to use the new runway to land with their private jets or arrive accommodated in the seats business of international airlines. In Xataka | A single millionaire spent the equivalent of 10,000 tourists on his luxury vacation in Mallorca: the Emir of Qatar Image | Wikimedia Commons (Khamenei.ir, Mehmet Mustafa Celik, John Murphy), Marriott

Log In

Forgot password?

Forgot password?

Enter your account data and we will send you a link to reset your password.

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

Here you'll find all collections you've created before.