program

Spain has started its most ambitious defense program. It is not a tank or a drone, it is the brain to control Europe’s troops

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Spain built its land defense looking outward, integrating into foreign programs and adapting doctrines from when the tank symbolized power, deterrence and industrial sovereignty. From joining NATO in 1982 to the missions in the Balkans, Iraq and Afghanistan, the Army was accumulating operational experience, but always with one constant: the key technology came from outside. Today, the debate no longer revolves around how many vehicles you have, but rather What role do you want to play? now that the war changes again. From cannon to code. The Ukrainian experience has finished burying the idea of ​​the battle tank as an isolated and self-sufficient platform, pushing Spain to rethink its land doctrine from the roots. Instead of investing in more armor and weight, the Ministry of Defense has opted for a conceptual leap: prioritizing information, connectivity and speed of decision as key factors of survival in a “transparent” battlefield, saturated with sensors, drones and smart munitions. In that context PAMOV is bornnot as a new tank or a combat drone, but as the nervous system that must govern all those that come after. PAMOV, the brain. The Superior Ground Combat System program, awarded to Indraseeks to define the digital architecture of the future Spanish armored combat beyond 2040. We are talking about an initial investment around the 45 million euros and a strong R&D component, one whose objective is not yet to manufacture platforms, but design and mature subsystems that will allow the integration of manned and unmanned vehicles, sensors, weapons and command and control into a single cooperative tactical network. The tank, therefore, stops being the physical center of combat and becomes just another node within a distributed “system of systems.” INDRA The tactical cloud. One of the pillars of PAMOV is the creation of a combat tactical cloud capable of fusing in real time information from on-board sensors, aerial and ground drones and external sources. As? Through artificial intelligencethe system detects, classifies and prioritizes threats, reducing crew cognitive overload and accelerating decision-making in high-pressure environments. The 360 degree visionsupported by AI and augmented reality, allows you to “see through” the armor and regain freedom of maneuver against the proliferation of drones and loitering munitions. Less tons, more platforms. Plus: the lessons of Ukraine have highlighted the limits of the continued growth in weight of battle tanks, some already close to 80 tons, with enormous logistics costs and restrictions of mobility. In this sense, Indra’s approach is committed to distribute capabilities between multiple lighter platforms, many of them unmanned, that operate in tandem with the main tank. Here are names that are common today in the Ukrainian war, such as UGVs and UASwho would advance ahead “taking on the most exposed missions and acting as extenders of ISTAR capability“, in addition to (obviously) reducing human risks. Modularity and weapons of tomorrow. The PAMOV is conceived as an open architecturemodular and scalable, one capable of being integrated into different present and future vehicles. This allows on paper to progressively incorporate new technologies, from advanced active protection systems to directed energy weapons and, in more distant phases, even future hypersonic systems without having to redesign the entire platform. Hence, it is emphasized that the key is not in the specific weapon, but in the system being able to govern, coordinate and exploit it within the tactical network at the right time. Technological sovereignty. The concept is going to be repeated more and more in the old continent. In the case of Spain, with a 95% of national developments and the participation of SMEs, startups, universities and technology centers spread across several autonomous communities, PAMOV is presented as a strategic commitment for the country. As we remembered yesterday, the nation seeks to stop being just a simple buyer or late integrator to become technology provider criticism in European programs like MARS and, in the long term, the MGCSseeking to be on par with France and Germany. The final objective is that the Spanish contribution to the European car of the future is not only steel, but intelligence that governs it. Another way to fight. Finally, and if you will, beyond technology, the impact of PAMOV points above all to doctrinal. For the Army it means moving from individual platforms to cooperative networkschange the way we command, train and operate, and prepare for high-intensity scenarios with fewer personnel and greater dependence on software. From that perspective, the future Spanish battle tank will not be defined by its caliber or its weight, but by its capacity. to connect systemsdominate the information and decide faster than the opponent. Image | Rheinmetall Defense, Oscar in the middleIndra In Xataka | Spain has been a weapons exporting power for decades. Now he has made a decision: keep them In Xataka | Ukraine has found what it needed in an unexpected ally. Spain had the missing piece against the shahed drones

What is Claude Code and what this tool can do to program with artificial intelligence from your computer terminal

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Let’s explain to you what is Claude Code or Claude CodeAnthropic’s tool to create code with the artificial intelligence directly into your computer terminal. This will mean that you will not need to install anything or be asking questions without stopping. Claude. We are going to start by explaining to you in a simple way what this tool is and the basics of how it works. Then, we will explain to you what things can you do and what this program for developers is for. What is Claude Code Claude Code or Claude Code is a command line application developed by Anthropic, the same creators of Claude’s AI. This is a program that allows you perform programming tasks from the terminal from your computer without having to use another program. The computer’s terminal is that command screen that you have in Windows called PowerShell, and in macOS and GNU/Linux it is simply the terminal. Instead of installing a common program that you have to open, the program is installed directly in the terminal, and you can use it to do so. With this program, you can use Claude to generate code within the terminal. And it not only generates code snippets, but can also act and reason directly on your projects by linking it to Github. Claude Code can read, analyze and edit content in your codebase. But in addition to this, you can also run tests and correct any errors generatedalso managing workflows. The classic way to generate code with Claude is to enter his app or website, explain what you want, and have the AI ​​create the code for you. Then you have to copy the code, paste it into the code editor you have installed and do the tests, so that if something fails you can go back to Claude, explain the problem, have him generate the corrected code again and repeat the process. Meanwhile, with Claud Code the process changes and is radically simplified. You simply open your terminal, run Claud Code in it, write a prompt or command saying what you want and that’s it. Then this AI will access your files, write code, run it, detect errors, fix them, and try again. It does all this autonomously, although you can supervise the process and intervene whenever you want. What Claude Code can do Claude Code has direct access to your file systemand can execute real commands on the computer. With all this, what this tool can do is the following: Read your files to see the code that you already have created in a folder, and thus understand the context of your project. Create new files complete with code, but also with configurations and documentation. Modify existing files editing the code you have in them to make any type of modifications. Work on an interim basisbeing able to read the error messages that appear if something fails in the code, and starting to correct these errors automatically. All this will save you a lot of time in your programming work, since you will not need to manually create folder structures, configure development tools, configure databases, create interfaces, write code, or anything. Claude will do all this automatically with just You explain the type of application you want to create in a prompt. You can also ask you to add features to existing projects with a command in which you mention the project, debug errors, review code, whatever you need. Therefore, we are faced with a tool for developers which will help you save a lot of time. Although as always happens in artificial intelligence, can make mistakes and have hallucinationsalthough within the world of AI programming Claude is one of the best. In Xataka Basics | Claude: 23 functions and some tricks to get the most out of this artificial intelligence

He is the most important programmer in all of history. And he has also ended up using AI to program

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Linus Torvalds, Linux kernel creatorhe found himself with some free time this Christmas, so he wanted to dedicate it to a personal project that he had on the shelf: an application capable of generating digital audio effects that he called AudioNoise. The curious thing is not that he started programming on his own, but rather what he ended up doing with part of that application. Linus tries Vibe coding. This project has a description on GitHub that holds a surprise. In the last paragraph of it he indicates that “Also keep in mind that the Python visualization tool was basically written using vibe-coding. I know more about analog filters (which isn’t saying much) than I do Python. I started with my typical “Google it and copy what I see” way of programming, but then I cut out the middleman (myself) and used Google Antigravity to create the audio sample viewer.” The best programmer programs like any other. The statement is surprisingly sincere and honest from the one who He is probably the most important programmer in all of history.. Admitting that your typical way of programming is “search on Google and copy what I see” is already curious, but part of programming precisely consists of looking for solutions from others and copying or adapting them into your own projects. AI can help. The other (big surprise) comes of course when he indicates that the visualization tool for his project was not programmed by him, but rather by the Google tool, Antigravity. This integrated development environment (IDE) allows you to work directly with Gemini 3 in different versions and even with Claude Sonnet and Opus 4.5, and despite having been released a few months ago, it is becoming one of the favorite tools of veteran developers but also of those who are beginning to make their ideas a reality without having too much knowledge. Let them tell it to me. This viewer has been programmed by Linus Torvalds. Or rather, Antigravity controlled by Linus Torvalds. testing. At Xataka we were curious to test what that viewer did, so we cloned the GitHub repositorywe asked Claude Code to explain how the project works and after a couple of quick changes we were able to test it with a small audio file. What the project does is implement digital audio effects (there are ‘phaser’, ‘echo’, ‘flanger’, ‘fm’ and ‘discont’) and then, if one wants, apply visualization. That visualization compares the original audio with the processed audio to see how the effect modifies the waveform. Subsurface Capture Linus’ other projects. Although Linus Torvalds is the person most responsible for the Linux kernel evolutionit is already common to see him develop some parallel and totally independent projects. Last Christmas he already created his own guitar pedal softwareand in 2011 began the development of Subsurfacean application to record and plan scuba dives, an activity to which he is very fond. The current GitHub repository is maintained by various developers among which stands out Dirk Hohndel, who was one of the first developers of the Linux kernel along with Linus Torvalds. AI is a tool. In a recent participation on the Linus Tech Tips YouTube channelLinus Torvalds talked about how he saw the world of AI. In your opinion: “AI will be a tool, and it will make people more productive. I think vibe coding is great for getting people to start programming. I think (the code it generates) is going to be horrible to maintain… so I don’t think programmers will go away. You’ll still want to have people who know how to maintain the output.” And it works for personal projects. That speech precisely aligns with this small “experiment” that he has used in that personal project: at the moment for projects of this type using tools like Antigravity can be a great idea, although it certainly does not seem so for larger projects in production. Thus, it does not seem likely that AI could be used to modify Linux code… at the moment. That, of course, may change in the future, but as Torvalds says, these types of developments will require notable (and probably human) oversight to validate that everything has been done correctly. Image | TED Conference In Xataka | Bill Gates and Linus Torvalds had been rivals for 30 years. The funny thing is that they just met and took a selfie

AI has allowed developers to program faster than ever. That’s turning out to be a problem.

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Whoever has tried it knows it. Programming with AI can be wonderful. Especially if you have (almost) no idea about programming. This is where generative AI models have seen their first and probably only revolution. The developers were the first to be able to embrace this new technology. The appearance of GitHub Copilot in 2021 It showed us that it was no longer necessary to chop so much code, because the machine was already doing it for you, and since then the advance of generative AI in the field of programming has been overwhelming. The question is: has it been positive? The answer is not at all clear. It is evident that AI has allowed: That millions of people who were not programmers could turn their ideas for applications and games into a reality. That millions of professionals can save time by not having to write repetitive code (boilerplate) to focus on other more important and productive parts of your work The industry, of course, has been especially insistent with this vision of the transformation of this segment. Satya Nadella (CEO of Microsoft) and Sundar Pichai (CEO of Alphabet/Google) already boasted months ago that about 25% of the code generated by their companies is generated by AI. Meanwhile, Jensen Huang went further and made it clear that At this point no one should learn to program anymore because the AI ​​would do it for us. These are very forceful statements, but behind them lies another reality: that All that glitters is not gold in the world of AI for programmers. At MIT Technology Review they have spoken with more than 30 developers and experts in this field and have reached interesting conclusions. AI is a better programmer than ever. At least, according to the benchmarks In August 2024 OpenAI made a unique launch: presented SWE-bench Verifieda benchmark intended to measure the ability of generative AI models to program. At that time, the best of the models was only capable of solving 33% of the tests proposed by that benchmark. A year later the best models already exceed 70%. Current ranking of the best models according to the SWE-bench Verified benchmark. Several already pass 70% of the tests. Source: SWE-bench. The evolution in this area has been dizzying and we have witnessed the birth of that new modality programming called “vibe coding” and all the big ones have developed powerful programming tools to take advantage of the pull. We have OpenAI Codex, Gemini CLI, or Claude Code, for example, but they have been added startups like Cursor either Windsurfing who have also known how to take advantage of this fever for programming with AI. All of these tools promise basically the same thing: that you will program more and better. Productivity theoretically skyrockets, and while more code is certainly being written than ever thanks to AI, programmers They have gone from writing their own code to reviewing what machines generate. Recent studies reveal that veteran developers who believed they had been more productive actually they weren’t. Their estimate was that they had been 20% faster by being able to move forward without blockages, but in reality they had taken 19% longer than they would have taken without AI, according to the tests carried out. There is another problem too: code quality is not necessarily goodand as we say, developers must review that code before being able to use it in production. In the latest survey from Stack Overflow, one of the largest developer communities in the world, there was a notable fact: The positive perception of AI tools had decreased: it was 70% in 2024, and 60% in 2025. There are limitations, but even so everything has already changed Those interviewed by MIT Technology Review generally agreed with its conclusions. Generative AI programming tools are great for producing repetitive code, writing tests, fixing bugs, or explaining code to new developers. However, they still have important limitations, and the most notable is his short memory. These models are only capable of handling a fraction of the workload in professional environments: if your code is large, the AI ​​model may not be able to “consume” it and understand it all at once. For small projects, great. For large developments, probably not so much. The problem of hallucinations also affects the code, and in repositories with a multitude of components, AI models can end up getting lost and not understanding the structure and its interconnections. The problems are there, and they can end up accumulating and causing exactly the opposite of what they wanted to avoid. Several experts, however, explained in that text how it is actually difficult to go back. Kyle Daigle, COO of GitHub, explained that “the days of coding every line of code by hand are likely behind us.” Erin Yepis, an analyst at Stack Overflow, indicated that although this unbridled optimism towards AI has fallen somewhat, that is actually a sign of something else: that programmers embrace this technology, but they do so assuming its risks. And then there is another reality. One that is repeated day after day and that seems undeniable. The AI ​​we have today is the worst of all those we will have in the future. It may not be tomorrow or next week, but it is clear that the AI ​​you program will end up getting better and better. And there may come a point when those limitations disappear. Whether they do it or not, what is clear is that AI has changed programming forever. Image | Mohammad Rahmani In Xataka | OpenAI has turned ChatGPT into mainstream AI. In the business world the game is being won by its great rival

In 1995 a program came out that promised to double your PC’s RAM. In the best of cases what I did was not spend more

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The 90s were wonderful in the world of software and hardware. Epic trolling like that of the 299 dollars of the first PlayStationthe legendary key of Windows 95 or the PlayStation emulator presented by Steve Jobs himself. In the middle of the decade a program came out that promised the impossible: double the amount of RAM on your PC. Its name was SoftRAM 95 and, although it makes us raise an eyebrow today, in its day it sold hundreds of thousands of copies for $80 each. And spoiler: it was of absolutely no use. SoftRAM 95, the miracle solution for your PC’s RAM The launch of a program like this is a product of its time, one in which users they could have been less ‘smart’ Now for more than logical reasons and in an industry in which everything was learned and developed as we went. There were times when the smartest were the ones who got results, but a company called Suncronys Softcorp learned its lesson the hard way. The year was 1995 and Windows 95 was beginning to revolutionize homes. Although the Microsoft system made control a PC was more accessible than ever (unfortunately for Steve Jobs), the hardware still had a brutal barrier to entry: the price. They were still expensive devices, very expensive, so saving on components saved a few dollars. RAM It was one of those components for which you paid gold per KB, but… what if there was a program that, for a few dollars, doubled the amount of memory on our PC? What if he did all this without having to touch any piece of our equipment? That is where the Californian Syncronys Softcorp saw a vein and – now we can say that in bad faith – launched its program: SoftRAM 95. It went on sale in August 1995 and it is estimated that they sold a whopping 600,000 copies until December of that same year. In those days, it was truly outrageous. And the logical question is how he achieved what he promised. The long answer is that it compressed the memory, so when the operating system needed to save data from RAM to the hard drive, SoftRAM 95 compressed it before writing it, reducing the amount of space needed on the disk and allowing the RAM to have more space available. The concept, roughly speaking, is correct, and the program interface told us that yes, congratulations, you had double the amount of RAM. The long answer is that it didn’t do what it promised. Although technically they were on the right track, this process at the time was tremendously ambitious for one reason: the speed of both the RAM and the primitive hard drives It was so absurdly slow that, effectively, the objective could not be met. They knew this from the top of Syncronys, but they didn’t care: the money was pouring in because each license cost about 30 dollars. Under the magnifying glass of the press… and Microsoft However, things quickly went wrong. A magazine of the time called PC Magazine submitted the software to a analysis How these analyzes should be done: testing whether the program really did what it promised. Using blocks of data to evaluate whether compression was effective, they found that processing times were exactly the same with compressible data and with random data that could not be compressed. They came to the conclusion that the only thing SoftRAM did was show an animated screen which gave the user the perception that they were working when, in reality, they were doing absolutely nothing. But beyond the press, those who got their hands on the software were Bryce Cogswell and Mark Russinovich, two Microsoft engineers who dissected the program at the code level. Basically, confirmed the well-founded suspicion of PC Magazine and pointed out that the program never actually worked. That is, the paging controller device – that compression of the RAM to transfer it to the hard drive – it closed just when loadingso it never did anything at all other than display false numbers while the operating system worked exactly as it should, whether the program was installed or not. When I said before that the management of Syncronys knew it, it was not because we saw history with the eyes of the present. When everything was revealed, they reported that RAM compression was not being carried out and, in addition, it was learned that they sold the software even though its developers had warned that the product was not ready. And it wasn’t aI’ll launch it and I’ll fix itlike many current games”, because in 1995 Internet updates were not the norm. Just when the company thought it was over, the US Federal Trade Commission arrived. Following its investigation, Syncronys finally acknowledged that it had misrepresented the performance of its product and banned it from selling any more copies of both SoftRAM and Windows 3.1 as SoftRAM 95. In total, both versions placed 700,000 copies on the market and Syncronys declared bankruptcy in July 98, owing 4.5 million dollars. The idea did not die with SoftRAM In the end, what SoftRAM did The best case scenario was not to eat up your PC’s resources.and it was one of those attempts to sell whatever in a still somewhat naive market. For PC Worldnext to AOL and RealPlayerSoftRAM is the worst technology product of all time. But of course, with the eyes of 2025, you may be wondering… what happens with solutions like Windows Vista ReadyBoost and the mobile memory expansion? It’s a different matter and, although both promise to improve performance by using “extra memory”, it is something very different from what SoftRAM did. ReadyBoost, for example, allowed you to use the memory of a pen drive as a cache to speed up access to frequent data. It acted as an extension of the system’s virtual memory and the theory is correct, but again we ran into the speed limitation of USBs … Read more

South Korea launched an AI textbook program for schools. It has lasted four months

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The South Korean government bet heavily on artificial intelligence in classrooms with a million-dollar investment in digital textbooks. They promised more personalized learning, a reduction in teaching load and, generally speaking, fewer school dropouts. The reality It has been very different: after a single semester they stopped being mandatory and became complementary material, allowing each school to decide whether to use them or not. Few have continued using them. A experiment that does not has worked. In March of this year a special program started educational promoted by then-president Yoon Suk Yeol: textbooks with artificial intelligence for mathematics, English and computer science. The government invested more than 1.2 trillion won (726 million euros at the exchange rate) in equipment and teacher training, while the publishers allocated another 800,000 million won (484 million euros) to the development of the material. Barely four months later, in August, parliament stopped considering them official texts after an avalanche of criticism. They are now optional supplementary material. Problems that came from day one. Ko Ho-dam, a high school student on Jeju Island, explains it to Rest of World: “All of our classes were delayed due to technical problems. I didn’t know how to use them well either. Working only with my laptop, I had a hard time staying focused. The books didn’t offer lessons adapted to my level.” Complaints spread throughout the country. Students, teachers and families reported errors in the content, risks to data privacy, increased screen time and, paradoxically, a greater workload for both teachers and students, especially if at the beginning it was necessary to add time to adapt to the new system. In a hurry. Representative Kang Kyung-sook, an opponent of the program, he questioned deadlines in parliament: “Traditional textbooks take 18 months to develop, nine to revise and six to prepare. But AI books took only 12, three and three months respectively. Why the rush?” Lee Bohm, researcher at the University of Cambridge, points out “AI should be tested first in homework or practice before being carefully introduced in class. The focus should be on how to integrate it into the school curriculum.” Digitized classrooms and addiction. South Korea has been dealing with another technological problem for years: digital addiction among young people. According to psychiatrist Lee Hae-kook, professor at the Catholic University of Korea, “almost one in two young people is at risk of smartphone addiction,” a figure that, according to Le Monde, increased between 30% and 40% after the pandemic. The country has had digital detox centers since 2002 and will ban mobile phones in schools starting March 2026. In this context, introducing more screens in classrooms has generated greater rejection. Jang Ha-na of the Political Mamas organization, which advocates for the well-being of women and children, expressed to the medium that “textbooks (with AI) worsen the effectiveness of learning. Once digital devices become central in classrooms, exposure to screens increases, weakening literacy and communication skills.” Legal and political battle. According to the medium, even before the launch, teachers unions and civil groups They sued the then minister of education for abuse of authority, arguing that the program was “problematic” by making the use of AI mandatory, ignored risks to minors, and lacked data protection measures. The government moved from mandatory adoption to a voluntary test one year in January. Yoon was ousted in April following his attempt to impose martial law, and new President Lee Jae Myung, who promised to reverse the policy, kept his word. According to explains Rest of World, the publishers that developed the texts announced lawsuits for financial damages. Hwang Geun-sik, president of the committee that represents them, explains that “companies that trusted the government saw the market suddenly disappear. Our business is reduced and staff cuts are inevitable.” The figures say it all. The adoption rate collapsed from 37% in the first semester to 19% in the current one. Only 2,095 schools use them now, half of the number at the beginning of the school year. Among teachers, opinions are divided. Lee Hyun-joon, a mathematics teacher in Pyeongtaek, admits that “monitoring students’ progress was a challenge. The overall quality was poor.” In contrast, Kim Cha-myung, a primary school teacher near Seoul, recognize to the means that “they were convenient, helped save time and supported students with difficulties. But he also added that “the program failed because everything was rushed. It should have been implemented gradually after proving its effectiveness.” llearned action. Kim Jong-hee, digital director of Dong-A Publishing, one of the developer publishers, defend that books “did not cause addiction to screens” and that they can reduce educational inequalities. But he acknowledges that “a key reason for the setbacks is that the issue became overly politicized.” “We no longer trust the government, and that is the biggest problem,” he added. Cover image | Korea Times (Yonhap) In Xataka | There is a national symbol that Japan has kept unchanged for generations: a very expensive school backpack

All the details of the new program to renew your iPhone

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We knew that Movistar was preparing with Apple A program to automatically renew the iPhone of his clients and his launch was scheduled for the coming weeks. But the operator has stepped on the accelerator and finally made it coincide with the beginning of the presale of the iPhone 17. From today, September 12, you can reserve your new iPhone. And from today, September 12, Mimovistar customers can already enjoy ‘swap’the final commercial name of a program that, internally, knew as ‘always new’. Flexible and optional. The new Movistar renewal program is offered to everyone to convergent customers for the main device and allows to renew their iPhone every 24 months paying a fixed monthly fee. The first models that enter the program are the iPhone 17he iPhone 17 Pro / Pro Max and the iPhone Air. One of the Swap advantages is flexibility, since the user can decide whether or not to renew their iPhone. In case of opting for renewal, it is also possible to choose when you want to change your device for Apple’s most recent model, from month 24 to month 48. Image: Apple Standard on the main device. The Swap website It is operational from today, coinciding, as we said, with the opening of the reserves of the new Apple iPhone, which will go on sale on September 19. This terminal change model is included as standard in the main line of mimovistar packages With 48 months financing And renewal from month 24. For additional devices, the renewal program is available as standard in 36 months financing, although the customer can choose when to change it from month 24. The monthly fee can vary. The program guarantees access to a device of the same value as the one previously enjoyed. That is, if you have an iPhone 17, you can choose the hypothetical iPhone 19 in case the price remains the same. When there is a value modification, up to the loss, an adjustment of the fee will be adjusted. For example, if you have an iPhone 17 and you want the future iPhone 19 Pro, your fee will upload; But if your mobile is an iPhone 17 pro max and you prefer an iPhone 19, most likely you get the quota. Something unique, but not unpublished. Movistar is the only operator that currently has a service of these characteristics. However, an Xataka reader (thank you!) He reminded us yesterday that it is not something unprecedented in Spain, because Movistar herself He threw something similar Ten years ago with the iPhone 6s. That program was called ‘always new’, hence they have known Swap internally with that denomination. But it wasn’t exactly the same. In 2015, the client could finance his iPhone to 18 OA 24 months saving 30%in the installments; Once the financing period was finished, you could change your iPhone for the new model or keep the current one. With swap, savings can vary and the possibility of renewing your iPhone extends from 24 to 48 months. Cover image | Movistar In Xataka | Apple succumbs to the iPhone 17 Pro before what was resisted for years: megapixels do matter

How to use it to ask the time today and how to program that forecasts appear

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Let’s tell you How to use Gemini as a time applicationso you don’t need to use any more. Because opening your mobile application is easy, but it is even easier to invoke the artificial intelligence of Google to directly ask the question with your voice. Let’s start by telling you how to ask the time information to Gemini And what information shows you. But then we will go to the most interesting, schedule a routine so that show you the information of a certain time every day Without having to do anything. Gemini tells you the time easily For Gemini to tell you the information of time, you must Ask him How is the weather today?. You can do this by voice and directly written in a chat with AI. In Android you can Change the assistant to Gemini To invoke it keeping a side button, and you can simply ask the question. When you ask Gemini, you will be shown a module where you can see the temperature in real time in the location where Google detects that you are. It will also tell you the evolution of temperature during the next few hours, the minimum and maximum, and the probability of rain. If you invoke Gemini by voice, this information will be shown on a card that overlaps the screen. You can also ask for other detailshow to ask for time including wind and humidity speed, time in other locations or on specific days. Configure regular time warnings But not to have to ask you manually, you can configure Gemini so that Every day I send you a notification With the time report at the time you want. The process to configure this is very simple. First, you have to enter the AI ​​app and click on the microphone. So, you have to say the following prompt: “Give me, every morning at 10, a full report of the weather forecast of my town.” Here, this prompt can modify it to choose the time you want, the periodicity, or even specify the information you want to appear. You can also add concrete data that you want to be mentioned. When you do this, you can verify when you want if the routine is configured correctly. For that, click on your profile image up to the right, and in the menu that opens, choose the option of Scheduled actions That will appear. This will show a screen where you can see the routines or automatisms configured in Gemini. On this screen you can check them, but also pause or erase them To leave everything to your liking. In Xataka Basics | The best prompts to save work hours and do your homework with chatgpt, gemini, co -pilot or other artifici intelligence

More and more programmers depend on AI to program. And every time they trust her

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Programmers love AI, but they don’t trust her too much. This is confirmed by a recent survey that Stack Overflow has done and in which 49,000 professional developers in their community have participated. That conclusion is as contradictory as logic, and points to a potential transformation of this sector. Each time they use it more. According to him Complete study84% of developers already use AI as part of their workflow, when last year that proportion was 76%. The proportion is in the line of a survey conducted in 2023 in the github community, although in that case of the 500 programmers surveyed, 92% confessed Use AI tools to program. But every time they trust less. The other prominent data of the survey is the one that indicates that programmers trust somewhat less in the Code generated by these AI tools. If last year the confidence in precise solutions was 40%, this year that confidence is only 29%. I spend the day correcting mistakes. The most important frustration of developers is that they are working with AI solutions that gives a rather correct, not completely correct answer. That implies that in the end developers must devote much more time to detect and correct those errorsand in fact 66% of them confess to investing longer to fix that “almost correct” code of AI. I trust more than human experts. When correcting errors there is another unique conclusion: in complicated code fragments, 75% of respondents claim that They would ask another human programmer (and not to another model of AI) when they do not trust the answer or the code generated by the machines. AI agents do not set so much. Although tools “Vibe Coding“As a cursor or Windsurf, they have positioned themselves as a very interesting option even for new programmers, that theoretical revolution is far from being a reality. Of course: they gain productivity, and 69% say they have seen said metric increased thanks to agents. Will I replace an AI? Programmers continue to see these tools more as a help and assistance than as a possible substitution. The majority (64%) do not see this technology as a threat to their work, but it is also true that this percentage was somewhat higher, of 68%: there is a small increase in that threat than For Jensen Huang, CEO of Nvidia, it is inevitable. Learning to program. This community also made it clear that it does not stagnate: 69% of them have invested time in learning new programming techniques or a new language. Here is another relevant fact: 44% have learned new things thanks to AI tools, when 37% did it last year. Work correcting the code of a machine. The survey seems to point to a future in which programmers end up programming less and less to become something like project chiefs or software engineers. His work will no longer be the one to chop code, but probably that of Check the code generated by these systems of artificial intelligence. Image | Sigmund In Xataka | The AI is opening the doors of a radical revolution on the Internet: that we can all create apps without knowing

A Chinese program has tested the safety levels of Chinese cars. He has evidenced Chinese cars

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China has received a blow of reality. This is Kyle Chan’s opinionexpert in Chinese industry, who summarizes the position of Tesla on the rest of the Chinese companies in terms of safety of their ADAS systems. The Tweet is motivated by a Chinese program that has faced 36 cars to the same exam to check how 15 obstacles were solved. The result: 216 accidents and a much higher position of Tesla. So superior that Elon Musk’s cars have not only obtained the highest score, they are also the only ones who have successfully solved five of the six major scenarios under which the tests were encompassed. But, in addition to all this, there are many other interesting diatribes. All tests were published on television since they were carried out by the media DonGchedi. It is not just a sample of the lack of Chinese cars is also a touch of attention to their own manufacturers. Frightful results China is living a revolution in the car market. There is no doubt about that. They have electric cars with the highest technological load in the world and live in a competitive bubble so strong that it threatensLeave multiple brands aheadwith the most settled by launching a Aggressive Price War. But in addition to having the car equipped with the fastest electric charge or the best incorporated drone, Chinese manufacturers They have been presuming exceptional autonomous driving capabilities. In fact, ourselves in Xataka We have been able to check firsthand how a car of less than 10,000 euros to direct change, such as Byd Seagullcan move with total ease with the famous Eye of God less advanced. Despite this, the Chinese government has been launching messages to manufacturers warning them that they cannot sell promises that they cannot meet later. That is why he has imposed fines to those who offer their products showing videos or presuming an advanced autonomous driving that then has many asterisks. It is one of the reasons why Autonomous driving was the great absent In the last presentation of Xiaomi Yu7. And the ears pull has finished exemplifying the tests performed by the Chinese media DonGchediwhose video and a half video It can also be seen on YouTube. It shows the examination that 36 cars have passed, the vast majority of them Chinese cars, who have faced 15 risk situations encompassed in six large groups. The result has been fateful. The Chinese car with the best score has been the GWM Wey Lanshan, obtaining the third best score and saving furniture in three of the six large groups. Specifically, he acted correctly avoiding an accident when he found an unexpected obstacle on the road, with the appearance of trucks in works areas or when a second vehicle appeared completely detained by surprise. He suspended with the appearance of other obstacles in works areas, when a second vehicle cut his trajectory aggressively or with the appearance of a wild animal. Similar results (exceeding three of the six scenarios) have also been obtained by the XPEng G6, Aito M9, Luxeed R7 and De denza Z9 GT EV, from better to worse score. Below, all the remaining cars (29 of 36) have not solved more than two risk situations. And of those 29 suspended cars, another 15 have failed to overcome even one of the proposed scenarios. Some, in fact, have only faced four risk situations because they lacked the necessary equipment to face these tests. The Mercedes Class C and the Volkswagen Passat are among these 15 cars that have failed to overcome a single test. But there are surprises among the suspended. The eighth classified is the Aion RT, a Chinese car that has not managed to overcome more than two tests. Just ahead of TOYOTA BZ3Xthe next non -Chinese car (With its nuances) that is in the test and that next to Tesla is the only one that sneaks among the 10 best. If we can talk about “the best” for cars that have not exceeded four of the six proposed tests. They are cars that, despite everything, have been better classified than the Xiaomi Su7 (and also that its ultra version, which has obtained worse results yet), six byd cars (both under the firm byd and some of its luxury brands) or those expected in Europe, the leapmotor C10 and the XPEng P7 (which are sold in Europe) or the expected Zeekr 001O EV. You can see all the list in Carnewschina. A good ear pull The publication of the evidence is not accidental and is especially relevant. In the post with which we opened this article, Kyle Chan highlighted that Tesla is living her own “Chatgpt moment”. The company It has been criticized by Do not include lidar radars in their cars that should improve their performance. However, it has proven to be ahead of all its competitors. The Tesla Model 3 and Model and They are the only ones who have achieved Save successfully almost all tests. The electric Berlina only suspended when faced with the appearance of a wild animal while model and did overcome this problem but acted in an inconvenient way in the scenarios in works. In spite of everything, Chan defends on his tweet that the results highlight the true situation of Chinese technology, although manufacturers try to demonstrate that they are much more advanced. For Chan, that the tests were broadcast on television are a clear government call to the manufacturers, something that begins to be common after an accident of an Xiaomi SU7 that had activated the ADAS systems for semi -automatic driving was recorded. Hu Xijin, former newspaper editor Global Timeswhich is dependent on the Chinese Communist Party and, therefore, it is understood that it is an extension of the government’s communications, pointed out That the results of the tests were good for local manufacturers because they position them where they really are. Understand that it is a good time for Chinese brands to learn what Elon … Read more

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