artificial

Denmark is preparing a colossal artificial island where it wants to connect half of Europe to receive energy

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Europe depends on third parties for strategic resources as valuable as gas or oil, so the energy transition is an absolute priority. Among the essential renewables for this transition is wind energy and there is a place that is a vein: the North Sea. The question is to connect this enormous field of wind turbines with the rest of the continent and you know how: with a new island in Denmark. The Danish artificial island. Denmark wants to build an artificial island in the North Sea that functions as a kind of “giant plug” to connect hundreds of offshore wind turbines from several European countries at the same time. The North Sea Energy Island, as it will be called, will be built about 80 – 100 kilometers off the west coast of Jutland, and will cost about 28 billion euros. according to the International Energy Agency and the company in charge of its management will be the Danish operator Energinet. Although initially will have a capacity of 3 GWthe idea is to expand it to 10 GW by 2040, enough to supply about ten million European homes. The installation will combine electricity, the production of hydrogen is on the table and in the future it may incorporate energy storage. Why it is important. Because according to Energinet, it is the largest infrastructure project in the history of Denmark, but this is a multinational project to accelerate offshore wind deployment and strengthen energy infrastructure between the North Sea countries. Furthermore, grouping the connection of several wind farms at a single point allows us to distribute infrastructure costs and place the turbines further from the coast, where the wind is more constant. On the other hand, this island will produce green hydrogen for ships and airplanes, two industries with complex electrification. Context. This project was born fruit of Denmark’s 2020 climate agreement, when its parliament approved the creation of two energy islands: this one of artificial origin in the North Sea and another minor one of natural origin in Bornholm, in the Baltic Sea. In May 2022, the project was consolidated with the agreement between the energy ministries of Germany, the Netherlands, Belgium and Denmark, which established the initial capacity and its connections. The project is part of the broader European strategy for marine renewable electrification, which the European Commission promotes since 2019 with the goal of achieving climate neutrality by 2050. In detail. Denmark has the majority participation in this critical infrastructure through Energinet, builder and owner of the network to the country. The rest of the international connections will be established with operators in each country, such as Elia (Belgium) or Amprion (Germany). The island will be connected to Denmark by Gammelgab, in the municipality of Varde, and the connection to the electrical grid will be made at a plant in Revsing, in the municipality of Vejen, as confirmed by Energinet. Yes, but. The production of hydrogen on the island is still a pending issue regarding technological advances in the segment over the next decade: everything is a question of economic viability, or in other words, whether it is more profitable to produce it on the island or on the coast. The decarbonization potential is enormous and so is the political support, but It is already experiencing delays and increased costs: It was originally planned for 2033 and we already know that it will not materialize until at least 2036. It also raises environmental concerns: the design contemplates converting protection structures into artificial reefs and monitoring marine biodiversity, but the relevant environmental permits are still pending. In short, this energy island today is more of a project than a reality. In Xataka | Something is happening with wind energy. Its deployment has slowed while solar energy grows unstoppable In Xataka | Offshore wind seemed to be Europe’s great energy hope: now it faces a murky future Cover | Vindo

news and everything that changes in ChatGPT with the new version of its artificial intelligence model

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Let’s tell you what are the news GPT-5.6the new version of the model artificial intelligence of ChatGPT. We are going to do it in a simple way, synthesizing in a list what the improvements are so that you can understand what will change when the model starts to arrive. The first thing you should know is that GPT 5.6 comes with three variants different, each with its own characteristics. But we are going to try to explain all this to you in the simplest way possible. What’s new in GPT-5.6 Next, we are going to give you a list with the main news that brings this new version of the OpenAI artificial intelligence model. We are going to do it in list format with a brief explanation of each news so that it is easier to understand. A family of 3 models: GPT 5.6 has three variants called Sol, Terra and Luna. Sol is the most advanced model, Luna is designed for greater speed and a lower price in tokens, and Terra is the intermediate model that seeks a balance between performance and cost. GPT-5.6 Sun: It is the new OpenAI flagship model, designed to improve especially in programming, scientific research, knowledge-based professional work, computer use and cybersecurity. GPT-5.6 Terra: Terra costs half as much as GPT-5.5, but maintaining competitive performance against that model. It is the most balanced option, the standard for doing general tasks. GPT-5.6 Moon: It becomes the fastest and cheapest OpenAI model. This makes it especially good for use in applications where speed and cost take top priority over more robust and advanced capabilities. Sol has Max and Ultra modes: The Sol model also has different modalities. The Max gives you more time to reason, check and revise your approach. Meanwhile, Ultra coordinates four agents in parallel by default, giving you better results in less time, but spending more tokens. Software Engineering Improvements: OpenAI ensures that GPT-5.6 especially improves in software engineering, where it increases its capabilities to solve more advanced programming tasks, as well as complex development flows. Improvements when using your computer: AI is lately focused on agents, so it is not surprising that its capabilities have also expanded to work with interfaces and execute tasks within computing environments. A big leap in design: With only general indications, this new model can create functional and careful interfaces. Additionally, the aforementioned computer capabilities allow you to inspect and refine the rendered output for visual glitches before submitting the work. Best scientific research: This area has also been improved, with improvements aimed at scientific reasoning and specialized work. Best knowledge-based jobs: OpenAI highlights advances in knowledge-based professional work, with the goal of delivering better results in complex tasks performed by professionals. You can create editable presentations from scratch, and improve results when you follow templates and reference documents to apply to new content. What’s new for developers in the API: In the Responses API, the Programmatic Tool Calling function allows GPT-5.6 to write and execute in-memory programs that coordinate tools and process intermediate results. And the multi-agent feature, initially in beta, allows you to run simultaneous subagents and synthesize their work into a single request. Cybersecurity news: They also improve cybersecurity capabilities, allowing more complex tasks to be solved within this area. More security for AI: OpenAI strengthens protections against high-risk activities, sensitive cybersecurity-related requests, and potential repeat misuse. It also incorporates the most robust security system in the history of GPT, with several layers of protection to reduce risks during the use of the model. Automated network teaming tests: OpenAI claims to have spent several weeks doing automated red teaming, searching for vulnerabilities and stress testing the system. With this, the model has been strengthened against real attacks before its launch. Availability according to your plan: In ChatGPT, Plus, Pro, Business and Enterprise users can access GPT-5.6 Sol, and Pro and Enterprise users can also choose GPT-5.6 Sol Pro. In ChatGPT Work and Codex, Free and Go users use Terra, while paid plans can choose between the three models and adjust the effort level of each. The deployment began on July 9 and will be gradually completed within 24 hours.

China launches the first factory for personalized vaccines with artificial intelligence

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Cancer treatment is on the verge of a historic revolution driven by the hyperpersonalization of medicine. Until now we were working with the idea of ​​manufacturing general medicines to treat cancer, but the idea of ​​manufacturing a unique and exclusive medicine for the genetics of each patient’s tumor has been around for years in laboratories, but the great bottleneck has always been the manufacturing time and, logically, the immense costs. A new step. China just gave the green light to the world’s first production line for cancer vaccines powered entirely by artificial intelligence. Located in Beijing, this facility is owned by Likang Life Sciences, a firm that has invested approximately $16.1 million in setting up a factory designed to operate at unprecedented speed. Its most advanced product is the LK101 neoantigen vaccine and it delegates the complex task of sequencing tumor DNApromising to synthesize customized doses in just one day. The definitive objective of this technological deployment is for patients to receive their personalized injection a few days after undergoing the biopsy. Why an AI? The key here is in the “neoantigens”, small mutated proteins that are exclusively in tumor cells and in each patient we find specific antigens. Here AI intervenes as an ultra-fast analytical engine by scrutinizing the tumor’s genetic information and predicting which parts of the antigen will be most effective in awakening and directing immune system cells to kill the tumor. Because here the only thing we seek is to activate the natural defenses we have, as we already do with immunotherapy, so that it is able to find tumor cells and destroy them, just as it does, for example, when we have an infection. But this is a process that requires great personalization and, above all, great speed to act as soon as possible on patients. And this is something an AI can do. for a long time Science has been paving this path, as we saw with an article published in 2024 which demonstrated that the integration of AI in the design of mRNA and DNA oncological vaccines is essential to know with maximum accuracy the composition of a tumor and its weak points. And to avoid failures, the algorithms are trained with large databases that we already have, where all the possible variants that a tumor may have are found. Another good news is that pioneering publications in Nature had already demonstrated the feasibility of RNA vaccines to induce specific and memory immune responses in patients with melanoma or even in such lethal and complex tumors. like pancreatic cancer. The nuance. It must be made very clear, first of all, that the promising results obtained in animals do not directly guarantee success in all patients, with clinical efficacy in humans still being very limited. And currently the vast majority of studies focused on this new personalized treatment are in very early stages. On the other hand, although China has built the first large algorithmic factory, its clinical research ecosystem remains very closed, and the data indicates that between 2014 and 2024 89 clinical trials of oncological vaccines were registered in this country. Something that greatly clashes with the 757 tests that have been carried out in the United States in this same period. And more limited. Added to this is that Chinese trials have an almost exclusively domestic vocation, with barely 2.2% global reach compared to 47.6% in the United States. But they also address less oncological diversity, focusing on about 5 types of cancer compared to the more than 20 studied by North American competitors. Images | Testalize In Xataka | Cancer in people under 50 years of age has been growing for decades. A macro study finally points to the big culprit: biological aging

How to create a calendar with your teams’ matches from the 2026 World Cup and add them to Google Calendar with artificial intelligence

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Let’s tell you how to create a calendar with matches of your favorite teams from the 2026 World Cup using artificial intelligencesomething quite simple to do. Because here it gets interesting, because later we will tell you how to add them to your Google Calendar so you don’t miss them. This is something that we are going to be able to do both in Gemini as in Claudeand it’s pretty simple. You can do it only with the matches of your country’s team, or directly with those of all the teams you are interested in following. Create a World Cup calendar with AI The first thing you have to do is ask Claude or Gemini to generate a calendar with the games played by the teams you want. You can request it with a prompt that looks like this: I want you to make me a calendar with the 2026 World Cup matches played by the teams of Spain, Argentina and Mexico. Obviously, you can modify the prompt to add the selections you want, or keep just one. This will generate a group stage schedule which is already underway, because it is not yet known which teams are going to qualify. Once you have the calendar created, now you have to tell the AI ​​to add it to your Google Calendar. You can use a prompt like this: Now save the games to my Google Calendar account Now comes the important part. Gemini and Claude have connectors to access your Google account, and will ask you to configure them to be able to do so and add the matches. ChatGPT does not have these connectors, and cannot do so. In Xataka Basics | How to prevent AI from always being right by default and thus make Claude, Gemini and ChatGPT have fewer hallucinations

Jeff Bezos says AI won’t destroy jobs. He then launched a company to create artificial engineers

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Jeff Bezos is one of the representative figures of current technological optimism regarding artificial intelligence. While in the United States we are seeing the university students who boo to those who claim that AI is the new industrial revolution due to pessimism when it comes to finding a job, Bezos point that this pessimism around AI is “the opposite of reality.” Come on, young people are wrong because what AI is going to do is create jobs. At the same time, Bezos has returned to talk of Prometheusa startup that will open the door to fewer workers being needed… while increasing productivity. It’s a bit of a mess, but it makes sense to Bezos. Prometheus. It is not a model or a technology, but a startup. Founded by Bezos in 2024, it has about 150 employees spread across headquarters in San Francisco, London and Zurich and already has a valuation of $41 billion. The central purpose of Prometheus is to develop AI systems capable of assisting in the entire engineering process from start to finish (end to end, as they call it). This means that the system will cover from the initial design of physical products to their manufacturing and launch, passing through all the simulation and testing phases. It is like a kind of artificial general engineer and does not seek to be just something that supports the engineers, who will then create the physical products. His goal is… that, to be a physical engineer. Accelerate inventions. Beszos’ goal is to empower engineers to be able to invent things more quickly and easily. An example is that this AI product is capable of carrying out all the aforementioned steps to build, for example, a jet engine. And here is the twist, since a jet engine is something extremely complex, but what Bezos is looking for is that what the startup develops allows smaller teams to do much bigger things in much shorter cycle times. Landing it: if before 100 people made you a new generation jet engine, now 10 can make it for you. I don’t know, Rick.… We suppose that in his head it is a good way to reassure those young people worried about the future of work, but in case it is not clear, Bezos commented that the fear of AI and the future of work is “the opposite of reality”, pointing out that what Prometheus does will be a catalyst for work. The curious thing is that he has presented it in a slightly strange way. If AI makes work cheaper, faster and easier, employment will increase because, “even though the number of people needed is being reduced by 10, technology will create opportunities to multiply those jobs by 10.” They are a bit strange accounts, but the boss of Amazon gives as an example a two-person household in which only one will have to work because productivity thanks to AI will be much greater. It does not say what that other person will do or if, thanks to AI, that member of the household who continues to work will earn more to replace one who stays at home. What it suggests is that there will be such a massive increase in productivity that not everyone will have to work, a somewhat questionable message because bills are not paid with productivity, but with money. colossal background. But well, beyond Bezos’ curious message, Prometheus is valued at $41 billion and has raised $12 billion from investors such as JPMorgan Chase, Goldman Sachs and BlackRock, apart from Bezos himself. And, currently, it is in deals to raise a fund of 100,000 million. But Bezos isn’t the only one moving to build AI startups. We have the founders of Uber, Coinbase or Robinhood (curious name) building new companies around this technology boom due to something that these profiles are very clear about: It is a new golden era and the best way to start a company. Young Americans are not so clear. In Xataka | Jensen Huang, CEO of Nvidia, on the possibility that we are facing a work apocalypse: “It’s nonsense”

The latest trick for AI companies to appear less artificial is to use classic fonts. It’s the arrival of ‘Tasteslop’

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It has rained a lot since the Will Smith who had a hard time eating spaghetti and the AI videos we have nowwith the potential for us to swallow them if we don’t pay attention. More curious is that, not so long ago, AIs were useless when it came to representing letters in an image, but they have improved so much that they have even converted a specific font into something that denotes that a text has been made with AI: the serif font. And it is a huge problem. Suspicious typography. AI is in everything. In recent days, non-E3 has been held, the week in which different video game companies present their new products for the coming months, and many players were on the lookout. Many video game companies have found in AI a quick way out to speed up development (and fire employees along the way) and it seems that they are in a competition to see if they can sneak it in. Titles like the new ‘Stellar Blade 2’ or ‘1666 Amsterdam’ (with AI assets when they declare themselves as a “team of craftsmen”) are two examples. Others classify it as a “carcinogenic” technology. AI is in everything and, as they point out in this article from Wired, also in typography. The improvement of this technology when it comes to representing texts is so notable that AI companies are training them to use a specific typeface: certain varieties of sarif or sarifa (depending on the program you use to edit texts). In fact, writer and designer Keya Vadgama has noticed so many companies using the typeface that he has coined the term “the serif renaissance” to describe the phenomenon. Why sarif? This font is very interesting because it has “thanks” or “punchlines”. The serif fonts are some like Times, Georgia or Courier, while then there are the sans-serif fonts, which are the ones that would not have those endings. The endings are the decorations that copyists used to use in books and it is a warmer and more human source and, precisely, that is the key. Vagama explains that “it’s not that hard to guess why native AI companies are attracted to serif fonts.” According to his thesis, it is because AI is a cold technology, soulless and incapable of creating, but a font with those endings in the letters brings that soulless creation of AI closer to the warmth of human calligraphy. “It connotes a very human and fluid way of making letter shapes,” notes Vadgama. ‘Tasteslop‘. And since everything on the Internet must have a name, this trend has been framed within a term that already existed and in which it fits perfectly: ‘tasteslop‘. What that means is that it’s something with that aesthetic that wants to look sophisticated and curated, but is actually a collage of superficial design decisions that are simply guided by templates and generative models, not by deeper criteria. Visually it is curated, it is powerful, it is elegant, but the problem is that it is still a machine posing as a human. It is replicable with a prompt. And we are talking about simple text, yes, but also about an intention that shows that, in the world of marketing, there is no stitch without a thread and the objective is to leave the cold sans-serif typography aside to opt for a more human and warm one that, subconsciously, causes us less rejection. The answer. Claude, Manus, Runway or Perplexity, among others, use serif typography and, after asking, Wired received a response from a Perplexity representative who pointed out that why wouldn’t they have a human design… if Perplexity is for people. The curious case of Anthropic. The logo is sans-serif, it has sans-serif fonts, but also serif Implications for the designer. If AI is already taking this space (too) to simulate that it is not a machine, but something created by a human, now is the time for designers (again) to have to move to find a new space. We are already seeing that, if someone creates an image and it is very perfect, there are comments on networks like “that’s AI.” Or the more ‘Bro’ version of “hey Grok, is that AI?” And it is a problem because artists and designers are seeing how a technology that has plundered their work is imitating them perfectly in many aspects. As models absorb that serif font boom and AI learns from AI and its aesthetics, humans will be the ones who have to adapt to find a new visual code that indicates that there is craftsmanship there. It is to carry the battlefield art/prompt to fonts, something that would seem absurd until not long ago, but we are already seeing that it is giving something to talk about. Especially when the AI ​​is already asked to make images with text that appear human in aesthetics and less tech. I wish they used Comic Sans. The identification problem. In the background there is something much more serious: how we separate the wheat from the chaff, the slop from the artisanal. Trying to achieve enough perfection to confuse us is something we are constantly seeing in AIs. In the generation of images, fingers and letters were the clues we had left to know if something was human or not, but they are overcoming the limitations by leaps and bounds. The United States Department of State, for example, went from a sans-serif font to a Times New Roman with those serifs in the letters, and there are already those who have raised an eyebrow. Are communications made in images with AI? Well, it is not known, but this adds another complication: separating what is made with AI and what is not. In this image, if we draw a line from a point in the figure to the same point reflected in the mirror, we see that the lines do not converge at a single point either. We will have to study a degree … Read more

list of new features of the new version of Anthropic’s Artificial Intelligence model

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Let’s tell you What’s new about Claude Fable 5, Anthropic’s new public model for your chat artificial intelligenceThis is the first model of the new Mythos classwhich already when it launched its preview version two months ago did so saying that it was so powerful that they would limit its power. Anthropic has launched two new models, the Claude Mythos 5 which will be available only to “a small group of cyber defenders and infrastructure providers”, and a Claude Fable 5 more adapted for mainstream users. It is a model with all the capabilities of Mythos Preview, but with security measures so that it is not used for bad things. And precisely because it is the model that is reaching users, it will be precisely Claude Fable 5 that we are going to focus on. we will give you a list with everything that changes so you know what it’s like to use compared to the previous version. Claude Fable 5 news Mythos-level capabilities for everyone: Fable 5, along with Mythos 5, is the most powerful AI model in history. Their capabilities are enormous, with performance that makes them lead the test benches. It is the first that allows you to use the capabilities of Mythos 5, and the jump from Claude Opus 4.8 is truly surprising, leaving GPT-5.5 and Gemini 3.1 Pro far behind. Longer freelance work: Fable 5 can work autonomously for longer than their predecessors. This makes it possible to tackle longer and more complex tasks that could not be sustained before. A big leap in programming: Programming is another aspect where this model has improved the most. Anthropic highlights the case of Stripewhich during initial testing performed a complete migration of a 50 million-line Ruby code base in one day, a job that would have taken a human team more than two months. More efficiency: Fable 5 is also more efficient in token consumption than previous Claude models, good news for teams who want to get the most out of it. Improvements in knowledge work: Fable 5 shows solid performance on complex analytical tasks. Anthropic claims to outperform the competition in senior-level reasoning, with notable improvements in reasoning about documents, interpreting graphs and tables, and problem solving. Great improvement in vision tasks: This new model can extract concrete figures from detailed scientific figures and reconstruct the source code of a website based solely on screenshots. For example, he was even able to beat Pokémon FireRed based on vision alone, while previous models had trouble playing even with assistive tools. Better memory and long context: The model is able to not get lost over millions of tokens, maintaining focus on the context, and improving memory. Something perfect for longer and more complex tasks. Maintains its barriers against misuse: Anthropic also says its new model keeps the level of misaligned behavior. This means that deceiving him or trying to get him to cooperate in misuse is still just as difficult. Safeguards with forwarding to Opus 4.8: Fable 5 is based on Mythos 5, which Anthropic said was so powerful it was scary. That is why it comes quite well-equipped and with many security measures. For example, if it detects that we are asking something “dangerous”, it avoids the question and even forces the use of an inferior model, Claude Opus 4.8. New data retention policy: For Mythos-class models, including Fable 5, Anthropic requires 30-day data retention for security monitoring purposes, both on its own and third-party surfaces. Of course, they say that they will not use that data to train new models or for anything that is not related to security. After 30 days, it will delete all data from our conversations in almost all cases. Price and availability: Fable 5 costs $10 per million tokens in and $50 per million tokens out, less than half of what Claude Mythos Preview cost. Developers can use it in the Claude API with the identifier claude-fable-5. Plus, it’s included at no extra cost until June 22 for Pro, Max, Team, and Enterprise subscribers. Of course, starting June 23, it will require usage credits until the capabilities of the company’s servers allow it to be incorporated as standard in payment plans in the future. In Xataka Basics | How to prevent AI from always being right by default and thus make Claude, Gemini and ChatGPT have fewer hallucinations

list of new features of the new version of Anthropic’s Artificial Intelligence model

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Let’s tell you What’s new in Claude 4.8 Opus, the new version of Anthropic’s most advanced and powerful artificial intelligence model. This version has surprised us by arriving just 41 days after Claude Opus 4.7, and it seems that the improvements are minimal, but there is a really important change in its honesty when it comes to telling you if it doesn’t know something. In any case, here you have a complete list with all the new features that come with this new version of Claude 4.8 Opus. We are going to explain each of them briefly so that they are easy to understand. Another thing you should know is that Opus is the most advanced line of Claude models, the one indicated for more complex tasks for programming and the one that uses up your limits the fastest when you use it. There is also the most efficient Sonnet model for day-to-day tasks, which continues in version 4.6 since February 2026, and a Haiku for quick and simple questions that continues in version 4.5 since October 2025. News from Claude 4.8 Opus A more honest AI: The prominence of this new version goes to honesty. He’s significantly more honest about his own work, telling you when he’s unsure about something. It’s also about four times less likely to let bugs in code slip by without flagging them, compared to its predecessor. Performance improvements: The Agentic code score for creating code with agents increases from 64.3% to 69.2%, and multidisciplinary reasoning with tools increases from 54.7% to 57.9%. On other test benchesin the SWE-bench Verified it goes from 87.6% (Opus 4.7) to 88.6%, and in Terminal-Bench 2.1 it rises from 66.1% to 74.6%. GPT-5.5 still falls short in terminal/CLI workflows, although there have been big improvements in Claude, and both models are practically on par in web browsing and graduate-level science topics. Alignment improvements: Alignment assessments show new highs in prosocial traits such as supporting user autonomy and acting in their best interest. Rates of misaligned behavior such as cheating are lower than in Opus 4.7. Fewer hallucinations: As usual, the number of hallucinations is also reduced. Honesty when telling yourself when you don’t know something also helps reduce them. Quick mode: According to AnthropicOpus 4.8’s fast mode is now about 2.5 times faster. The company claims that the improved Quick Mode also costs three times less than before. Effort control– Users can choose between “extra” or “max” levels so that the model spends more tokens and obtains better results. Dynamic Workflows (preview for research): With this new feature, Claude can schedule work and run hundreds of subagents in parallel in a single session, being able to complete codebase-scale migrations of hundreds of thousands of lines. Available for Claude Code on Enterprise, Team and Max plans. No change in base price: The base price of API tokens is unchanged from Opus 4.7. It is 5 dollars per million input tokens, and 25 dollars per million output, with up to 90% savings with prompt caching and 50% with batch processing. In Xataka Basics | How to prevent AI from always being right by default and thus make Claude, Gemini and ChatGPT have fewer hallucinations

There is a booming job in the era of artificial intelligence: cybersecurity expert

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Yeah Mythosfrom Anthropic, and GPT-5.4-Cyber, from OpenAI, have been presented as models capable of detecting and exploiting vulnerabilities, the quick conclusion seems quite evident: cybersecurity profiles could begin to become redundant. After all, we are talking about models aimed at moving in one of the most delicate areas of technology: finding flaws before others take advantage of them. The answer, at least for now, goes in the opposite direction to that first intuition. AI is not making the expert irrelevant. On the contrary: today it is more necessary than ever. That signal is already beginning to be noticed clearly in the United States, where the NYT has put figures and testimonies to a trend that was gaining strength: the hiring of cybersecurity profiles. The American newspaper points out that offers in the sector grew by 11% year-on-year in the first quarter, according to Glassdoorand shows how some executive search firms are receiving more assignments to find managers with experience in security breaches, data protection and code review. The reason is not just to protect data. There is also a need to respond to incidents and understand how AI changes the risk surface of companies. The key is that this new layer of AI not only changes the tools of those who protect the systems. It also modifies the possibilities of those who try to compromise them. Reuters pointed out a few days ago that Attackers are increasingly using AI to detect vulnerabilities, and Check Point has warned in its 2026 Cybersecurity Report that AI attacks have moved from the experimental phase to a routine criminal deployment. More tools do not mean fewer cybersecurity experts The market, furthermore, is not asking for exactly the same thing as it did a few years ago. Cybersecurity continues to be the umbrella, but more specific capabilities are beginning to weigh heavily within it: AI, cloud security, engineering, analysis and risk assessment. The 2025 ISC2 Cybersecurity Workforce Study points out that hiring managers place AI among the most in-demand skills, with 27%, and professionals raised that perception to 44%. The conclusion is important: knowing about security is not enough. It is becoming increasingly important to understand how this security is integrated into complex systems obviously crossed by AI. Fortinet did a survey and found that 49% of respondents fear that AI will increase cyberattackswhile 97% of organizations already use or plan to use a cybersecurity solution that takes advantage of this technology. So it seems that companies are not only concerned about the offensive use of AI, they are also trying to incorporate it into their own defenses. And that opens up another less visible, but equally important, need: having teams capable of evaluating these tools and integrating them judiciously. In Spain, photography also points to a sector in full expansion. INCIBE summarizes it with a very useful phrase to ground the phenomenon: “Cybersecurity is already one of the most dynamic sectors of the Spanish digital economy.” According to the study on the cybersecurity industry in Spain 2025the organization places employment at 164,761 people and points out that cybersecurity already represents 25.55% of employment in the ICT sector. The forecast, furthermore, does not speak of a specific increase: between 2026 and 2029, the sector will grow at an annual rate of 14.25%, until reaching 282,157 jobs at the end of that period. “Cybersecurity is already one of the most dynamic sectors of the Spanish digital economy.” The problem is that this growth comes with an obvious tension: there are not always enough profiles prepared to cover what companies need. Deloitte formulates it from the side of those responsible for security: “Nearly 38% of CISOs identify reliance on scarce profiles as a significant challenge, reflecting a persistent gap between growing demand for capabilities and limited market supply.” The consequence is that many organizations end up relying on external talent to support your defenses. In fact, Deloitte points out that in 2026, 60% of cybersecurity personnel will be external. Seen from Spain, the phenomenon shares the same background, although with its own nuances. The United States remains one of the epicenters of the AI ​​industry and we cannot understand this trend without looking at what is happening there, but it is also not advisable to extrapolate its market dynamics as if they were identical to those of Europe. Other indicators come into play here: employment growth, relevant weight within the ICT sector and dependence on external profiles in many organizations. The conclusion, however, points in the same direction on both sides of the Atlantic: AI is forcing cybersecurity capabilities to be strengthened, not reduced. Images | Xataka with Nano Banana In Xataka | How often should we change ALL our passwords according to three cybersecurity experts

an artificial island with a wood and stone structure older than Stonehenge

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In several rural areas of Scotland there has been an old tradition for centuries: when the level of some lakes drops after periods of drought or storms, strange rows of stones and dark wood sometimes appear briefly, the neighbors call “the traces of the ancients.” For a long time they were thought to be simply natural remains… until archaeologists discovered that many actually belonged to hidden human constructions underwater for thousands of years. The artificial island hidden under the waters of Scotland. At the beginning of May something unusual happened in Scotland: a small artificial island built some time ago reappeared more than five thousand years with wood, branches and stone, even before Stonehenge. What today seems like just a rocky islet lost in a lake on the Isle of Lewis hid under water a complex human structure built during the Neolithica time when British communities were still taking their first steps towards large collective projects. He find It not only forces us to reconsider the antiquity of the so-called Scottish “crannogs”, but also the organizational capacity of societies that were already capable of completely transforming an aquatic landscape thousands of years before the most famous large megalithic constructions in Europe. A wooden platform from before the pyramids. Apparently, archaeologists discovered that the islet of Loch Bhorgastail originally began as a huge circular wooden platform about 23 meters in diameter covered with layers of branches and vegetation. As the centuries passed, different generations expanded and reinforced the structure by adding new layers of stone and brushwood until transforming it into the small island visible today. The dating places the first phase of construction between 3800 and 3300 BCthat is, several centuries before the best known phases of Stonehenge and a lot before the pyramids Egyptians. The investigation It also demonstrates that those Neolithic communities not only built funerary monuments or stone circles, but were also capable of modifying entire lakes to build artificial spaces isolated from the continent. The wooden platform of the crannog, below the waterline Under the water a lost stone path appeared. One of the most striking discoveries was the location of a stone road submerged bridge that connected the island to the shore of the lake. Today it remains hidden underwater, but in the past it provided easy access to the artificial platform before lake levels and the natural environment changed. Researchers believe that this access demonstrates that the island was not a simple symbolic structure lost in the middle of the water, but a regularly used place by entire communities. The fact that the construction was modified and reused for thousands of years (from the Neolithic to the Iron Age) further indicates that the place maintained special importance for entire generations. Fragments of a Neolithic pot found near the crannog Remains of banquets and meetings. Not only that. Hundreds of fragments appeared around the island neolithic ceramic belonging to bowls and vessels, many of them still retaining remains of food adhered to the interior surfaces. Archaeologists believe that this points to activities related communitys with meetings, food preparation and possible ritual banquets. The enormous amount of work required to build an artificial island in the middle of a lake also suggests the existence of societies much more organized than is normally imagined for that time. They were not small improvised groups surviving in isolation, but communities capable of coordinating labor, resources and planning over long periods of time. Aerial view of the Loch Bhorgastail crannog, illustrating the site context and the land-water interface where integrated terrestrial and underwater survey methods are applied Another way to explore the past underwater. Much of the progress has been possible thanks to a new technique developed specifically to study very shallow water areas, an especially problematic environment for archeology because terrestrial and underwater methods often fail precisely in that intermediate zone. The researchers combined drones, waterproof cameras and stereophotogrammetry systems capable of generating continuous three-dimensional models both above and below water. The result has made it possible to digitally reconstruct the entire island and document structures invisible from the surface with centimeter precision. Until now, many of these environments were considered a kind of “blind zone” for archaeology. Scotland could hide hundreds. The Loch Bhorgastail case is especially important because researchers believe that there are hundreds of crannogs spread across the Scottish lochs and many could hide much older origins than previously thought. For decades it was believed that most belonged to the Iron Age or medieval times, but recent discoveries are pushing their origins back thousands of years, until the Neolithic. This opens the possibility that more artificial platforms, submerged paths and remains of human activities at a surprisingly early time in European history remain hidden beneath the calm waters of many Scottish lochs. The island changes the image of British Neolithic societies. The most fascinating of the discovery is that it forces us to abandon the simplified image of Neolithic communities as dispersed and technically limited groups. Building an artificial island of wood and stone in the middle of a lake required planning, knowledge of the aquatic environment, transportation of materials, and large-scale social cooperation. And all this was happening in Scotland ago more than five thousand yearseven before some of the most famous prehistoric monuments on the planet were built. Beneath the dark waters of a seemingly normal lake, a an extraordinary test of the extent to which those ancient societies were much more complex and ambitious than was believed. Image | University of Southampton In Xataka | Some 5,000-year-old tombs went unnoticed for millennia. Until we look from the sky In Xataka | About to close, this remote mine in the Polar Circle has found a 2 billion-year-old yellow diamond that weighs 158 carats

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