knowing

Congratulations, you already program without knowing how to program. Now prepare to wait six weeks for Apple to listen to you

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James Steinberg is a New Yorker, 35 years old, and has two professions. The first, cat sitter. The second, develop applications through vibecodinga technique in which knowing what one wants and iterating with AI manages to replace (in part) deep knowledge of areas such as software architecture or programming. Steinberg is not the exception, but the new norm in a phenomenon in which amateur programmers are saturating the software distribution system. Let them tell Apple. Wanting is power. There was a time when publishing an app on the App Store was a rite of passage for an engineer or software developer. After months of fighting with Swift or Objective-C, the app was ready and all that was missing was the blessing of the App Store and its strict terms of use. Today that wall has fallen, because since the vibecoding has appeared, the creation of software is no longer about being able to do things, but about wanting to do them. However, this democratization of programming comes at a price: before the problem was writing code, but now the bottleneck is get the App Store to validate it. The growth rate of apps published in the App Store has grown extraordinary since the end of 2025. The impact of vibecoding is evident. Source: BI. The explosion of agentic software. Data from the consulting firm Sensor Tower confirm that we are facing an extraordinary situation. In January 2026, the volume of new apps launched in the App Store in the US grew 54.8% compared to the previous year. A very similar figure had already been recorded in December: a 56% increase compared to the same month in 2024. Here there is not suddenly a batch of experts fresh out of university programming as if there were no tomorrow, but rather a bunch of “amateur programmers” who have used vibecoding to program their apps in a matter of minutes or hours and who have uploaded them to the App Store. Apple has a problem. When Steinberg or any other developer tries to publish their app on the App Store, they run into a problem: Apple’s validation process is dragging out and the average wait time is around six weeks to achieve the desired “green light.” Apple, aware that this saturation can damage its reputation, has wanted to come forward with figures to calm the market’s spirits. Apple says one thing, developers another. According to the company, 90% of the proposals it receives from all these programmers are reviewed in less than 48 hours, and the average wait is, according to the company, 1.5 days. In the last twelve weeks, Apple employees have analyzed more than 200,000 weekly shipments, which seems to make it clear that, at least according to them, the bottleneck is not that big. The developers don’t seem to be of the same opinion, and in forums and social networks there is talk of how reviews of existing updates take up to a week and new releases enter a kind of administrative limbo that exasperates this new legion of programmers. Apps that are AI Slop? A potential reason for this slowdown in deadlines may not only be the quantity of apps, but their quality. Both among traditional programmers and probably within Apple itself, there is a fear that this new batch of apps “vibecodeadas” is largely another variant of the “AI slop” or “AI Slop” that has already been presented in the form of images or videos. For some experts, many of these apps are mediocre, have been generated with little supervision and simply seek to monetize search niches. The strict terms of the App Store may be criticizable, but they are a kind of retaining wall that could flood the App Store with absolutely irrelevant apps. The App Store facing the dilemma. Forrester analyst Dipanjan Chatterjee indicated in Business Insider that “this is not a problem that Apple can get out of by rejecting apps. As AI accelerates the creation of applications, the company will have to evolve from artisanal surveillance to curation at scale.” Or what is the same: either Apple automates part of the process, or waiting times will continue to increase. The other option: tighten the entry criteria for apps created with AI so much that it disproportionately penalizes the developers who use these tools… of which there are more and more. Wanted vibecoder. What seemed like a hobby for hobbyists is becoming an increasingly striking economic ecosystem. According to Business Insiderplatforms like Lovable already publish job offers in which they are looking for “vibecoders professionals”, which seems to validate this new type of programmer, no matter how much the traditional market criticizes him. But. This avalanche of applications created with AI may be striking, but comments from professional developers usually agree on the same thing: these apps are more difficult to maintain in the long term. Even Linus Torvalds, who had partially fallen into the networks of AI, I warned him: “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.” Image | James Yarema In Xataka | Vibe coding wants to help Open Source. But developers don’t want AI botches

Spain is letting the lisp die in Andalusia without knowing that the /θ/ sound is a global rarity that we are losing

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In recent days, the University of Granada has presented a macroatlas with almost half a million audios that shows how the way of speaking of Andalusians has changed. The research is very interesting for many reasons, but today I want to focus on something specific: the slow, but inexorable agony of lisp. What is lisp. While the distinction between ‘s”https://www.xataka.com/”z’ and seseo gains ground in the south, lisping is losing speakers in the only place where lisping is used. It is a sociological question, yes: researchers are clear that stigma is the main force against this phonetic subsystem. But there is something else Because, in reality, what we are seeing is not just the death of the lisp, it is the end of the sound (θ) itself: one of the most unknown oddities of the Spanish language. A Spanish oddity? Although it is not something that is often explained much, the ‘c’ sound (/θ/) is relatively rare in the world — only in 43 of 566 languages ​​(7.6%) in the world. WALS sampling appears and only in 4% of the counts in typological databases (UPSID: 3.99%; PHOIBLE: ~4%). That is, very few living languages ​​have that sound among their phonetic repertoires. To give us an idea, the phoneme of the ñ (ɲ), quintessence of Spanish, appears in 35% of the world’s languages. But… what about the ‘c’? The usual explanation Why (θ)/(ð) are less frequent and why they are disappearing is simple: they are “soft” fricatives; That is, they are less strident sounds than (s)/(z) and, therefore, have less perceptual salience. This is what makes them tend to be lost or transformed easily over time. That does not mean that the Spaniard of the future is going to be sesante; but there is a high probability that it is sesante. The heritage of a language in the trash. It is clear that it cannot be argued from a philological point of view that the disappearance of (θ) is a bad thing. The Earth turns, languages ​​change. But it is striking that in a society in which historical heritage continues to be “valued”, the progressive loss of a sound does not set off alarm bells. And that it does so because we are not capable of accepting the diversity of our own language, normalizing it and defending it in the public sphere, is perhaps worse. Image | Wiebrig Krakau (Modified) In Xataka | “The most serious attack since there is memory”: Pérez-Reverte has started a crusade against the RAE from within the RAE

that Russia has been knowing all its steps from space for years

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After the Cold War, space was conceived by Europe more like an extension of scientific cooperation and the civil market than as a domain of strategic confrontation. Thus satellites designed for television, meteorology or navigation were deployed at a time when the main concern was technical reliability and cost, not the deliberate hostility of other States. While Washington and Moscow kept alive military logic inherited and China began to build its own, Europe was establishing a functional, open and trust-dependent spatial architecture. The latest finding reveals a “big” underlying error. Hybrid warfare reaches orbit. Yes, for years, Europe assumed that space was a technical and relatively stable domain, ultimately protected by its civil and cooperative character. It so happens that recent Russian satellite activity has broken that illusion. As? In parallel with sabotage of submarine cables and other covert operations, Moscow appears to have moved its hybrid war to space, taking advantage a critical blind spot: Many European satellites were launched decades ago without modern encryption systems or advanced protection. This vulnerability, ignored for years, has turned the geostationary orbit into a new silent front where missiles are not needed to inflict strategic damage. Luch-1 and Luch-2. There is much more, since the Financial Times discovered exclusively this morning that Western authorities have been monitoring the movements of two Russian space vehicles for some time, Luch-1 and Luch-2which have performed unusual maneuvers, getting dangerously close to key European satellites and staying next to them for weeks. Since its launch in 2023, Luch-2 has approached at least 17 satellites that provide essential services to Europe, Africa and the Middle East, a pattern that, according to analystsleaves no doubt about its purpose. These approaches are not accidental: they seek to position themselves within the narrow cone of data transmission between ground stations and satellites, an ideal position to intercept signals and study their internal workings. The critical failure. The most disturbing revelation is that some of the most sensitive information circulating through these systems, including the command links that allow orbit adjustment, it is not encrypted. Put another way, that means Russia could not only have spied on civil and government communications, but also recorded enough technical data to imitate legitimate operators from land. With that knowledge, for example, a hostile actor could send fake orders to alter the orientation of a satellite, take it out of service, misalign it or even force its fall or uncontrolled drift, without the need to physically destroy it and without leaving a clear attack signature. A strategic Achilles heel. Although the Luch satellites They do not seem to have the direct ability to interfere with or destroy other devices, their value lies in the accumulated knowledge: how European satellites are used, who operates them and from where. This intelligence allows us to prepare more discreet attacks, such as Selective interference or cyber attacks coordinated from the ground, and reinforces the idea that spatial networks are the true Achilles heel of modern societies. As Russia expands its reconnaissance program with new maneuverable satellites and Europe begins to come to terms with the magnitude of the problem, the message is clear: hybrid war It is no longer fought only at sea or on dry land, but also 35,000 kilometers above our heads, the point where Europe has just discovered that had been exposed for years. Image | woodleywonderworks In Xataka | A space war looms over our heads and Europe is the power that invests the least in defense technology In Xataka | Poland and Spain are the European countries that have increased their contribution to space the most. For very different reasons

Michel Foucault was convinced that “visibility is a trap.” And without knowing it I was talking about our lives with AI

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I never thought I’d write this, but I’ve been thinking about it for days. Michel Foucault more than I would like. And a back pain is to blame. It was a couple of weeks ago, it was one in the morning and the house had been quiet for a while. That’s where the puncture came. I could have woken up my wife who was 30 centimeters away and, well, she is a doctor; I could have searched on Google; I could have even asked on an Internet forum. And yet, I opened ChatGPT, asked what was bothering me, and shortly after turned off my phone to go to sleep. And I fell asleep right away. But a few days ago, this analysis by Javier Lacort about ChatGPT Health It left me thinking. Not because AI was fully entering the world of health and “medical advice” (something that, on the other hand, I knew firsthand); but because of something that was commented on in it: that “we prefer to ask a chatbot have to wait three weeks for an appointment or have to bother a friend at eleven at night. It hurt a little. There was something interesting there. Eleven at night; one in the morning “The ChatGPT Competition”, Lacort continued“it’s not so much with the doctors as with the emotional support network that we used to have. We asked our mother, our partner, the friend who studied nursing.” But for some time now, “upsetting someone has become emotionally costly.” That last phrase is devastating because it contains the key to something that goes far beyond chatbots with medical uses. Something that goes through Millennials’ problems with calls, with the fishmongers, with sex or with any interaction that is not mediated by a screen: the deep cultural aversion that the modern world has generated to ‘social friction’. And it is curious because, although only in recent years do we see the most striking consequencessociology and cultural analysis have been pointing out what was happening for decades. We have Norbert Elias, for example, who I was convinced that (as part of the prolongation of the civilizing process) the thresholds of shame and discomfort are shifting. What fifty years ago was perfectly normal—calling without warning, asking a favor from an acquaintance, interrupting someone with a question—today borders on the intrusive. What’s more, today we have internalized it. Sennet spoke of the decline of the public sphere (we know how to handle ourselves in privacy and in public transactions, but not in the middle ground); the sociology of emotionstalks about the success of therapeutic lexicon and how that has changed the way we relate; Hartmut Rosa cblame social accelerationprecariousness and lack of time, the loss of effectiveness of reciprocity networks. That is to say, we have many theorists thinking about the same thing: that we are a new type of subject. A subject who has internalized the rules, who manages himself, who evaluates his relationships in terms of emotional cost-benefit and who, above all, experiences direct reciprocity as something frictional, uncomfortable and potentially invasive. And, just then, chatbots appear. I’m not talking about the technology behind it, nor its ultimate nature: I’m talking about the same historical process that has created subjects like this, has created something that “listens to them”, that “is empathetic”, that does not judge them and that helps them as and when it can. Honestly, it would be strange not to throw ourselves into his arms. Can Foucault help us understand all this? Google DeepMind That’s where, I’m afraid, Foucault becomes interesting. In his courses at the Collège de France from the late 70sthe French philosopher explored a whole series of different dimensions of power that, although not obvious, were inseparable from the Modern State. In the past, the State was mainly about controlling borders and collecting some money. But not anymore: now the State manages populations (what it called ‘biopolitics‘ and includes things such as vaccination programs or birth policies) and, at the same time, deals with each subject in its particularity (the so-called ‘pastoral power‘ who through family doctors, social workers, school counselors or psychologists listen to us, advise us and “lead us”). He called the combination ‘governmentality‘: a power that (excuse the ‘expletives’) is at the same time totalizing and individualizing. And those, totalizing and individualizing, are features that seem half-made of technological solutions such as ChatGPT Health. A chatbot that, on the one hand, advises users about their problems, listens without judging, guides us in micro-decisions and knows us (or ‘pretends to know us’) in our particularity; and, on the other, it performs triage, implements protocols, normalizes thresholds, generates aggregate data and, in a short time, will integrate with insurers and health systems. Pastoral and biopolitical, at the same time. And with an incredible infiltration capacity. The difference, and this Foucault could not foresee, is that now this power does not depend on the State, but on a corporation. What was previously a community or ecclesiastical function, then partially state, is now outsourced to private, for-profit infrastructures. It is a privatization of power. The tentacles of the State In the previous section I said that “Foucault could not foresee it”, but I think that is not accurate. It is true that when this thinker theorized about “pastoral power” or “biopolitics,” he was thinking about public officials operating in state institutions. But the wickers were there. After all, Foucault himself, in his last courses (especially in ‘Birth of biopolitics‘, dedicated to analyze ‘neoliberalism’ as arts of government), described a decisive mutation of our time: the State no longer thinks of itself as a provider of services but as a guarantor of the conditions for the market to function. The functions that were previously assumed directly (educate, heal, advise, care) can be outsourced to private agents. In this sense, chatbots are neither an accident nor a distortion; are the logical culmination of the historical process of the development of modern power. From a very specific formulation of … Read more

The first is illegal constructions, the second is not knowing what to do with them

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In 2021, the Community of Madrid began to think that it was time to know what was happening in its territory. It seems like an absurd idea, but the truth is that the Spanish administration has been organizing its territory blindly for decades. And in that context, “reestablishing urban planning legality” is impossible. So they got to it and It took them four years to do it.. What have they found? Generally speaking, you have a problem: There are 5,334 hectares affected by illegal settlements in 56 municipalities. Of course, the problem is not perfectly distributed: 80% of these lands are concentrated in the plains of the main Madrid rivers, mainly in the areas of Tajuña (2,712 hectares), Jarama (1,019), Guadarrama (363) and Tajo (150). And of course that makes the problem much bigger. Because failing to comply with urban planning regulations is not only an administrative issue; On the contrary, there is an enormous risk for people and the environment. The latter is easily verifiable: there are regional parks, special areas and protected places that are key to biodiversity; and overlap with the areas affected by illegal constructions. But, in addition, as the Community itself attests, it entails an enormous physical risk because many buildings are in flood-prone areas, riverbeds and meadows. And we don’t talk about catastrophic events like DANAbut that the floods of towns (like Las Sabinas in Móstoles) has put the issue on the table. And no one has concrete answers. Above all, because it is nothing new: the state of impunity is endemic (and not only in Madrid) for at least 20 years. And we are not only talking about “lack of control” or “turning a blind eye”: we are talking about that, while jurisprudence is clear that actions on non-developable land They can only be exceptionalThere is always a license, a specific modification or a technical fix that makes it difficult to comply with the regulations. What is behind it, deep down, are the conflicting incentives between local and regional dynamics. It’s something we’ve been seeing from the eternal conflict of Algarrobico. That is, now we know the real magnitude of the problem. The study, which aims to demonstrate the regional executive’s commitment to soil protection, reflects above all decades of tolerance. Now it’s time for a complex debate: demolish everything or regularize it. And it is not just about luxury chalets or precarious settlements: there is a lot of informal productive use that fully affects local activity. Furthermore, this is Madrid, a region that, due to its demographic growth, has already organized many areas that until recently were the same or worse. If we zoomed in: the data for Spain would not be better. And there are no solutions in sight. Image | Community of Madrid / Elentir In Xataka | The Government is working on a coastal regulation with a question in the air: whether it can expropriate a house on the beach

Bill Gates was obsessed with knowing how long his Microsoft employees worked. So I looked at the parking lot

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All the millionaires who have triumphed in the field of technology They tend to be people of remarkable intelligence, who over time have developed skills that, to the rest of humanity, They seem curious to us at the very least. Jeff Bezos developed an almost unhealthy obsession with optimize time in meetings and Elon Musk He can’t stand anyone opposing him when he has made a decision. Bill Gates, for his part, is known for being especially inquisitive with his employees, developing his own techniques that bordered on toxic to control whether his employees were in the office or already they had gone home. If the boss doesn’t leave, neither will the employees.. In 2016, the founder of Microsoft made some surprising statements on the BBC about how it controlled which employees worked the most hours. One of the things Gates valued most when he ran Microsoft was the commitment and dedication of his employees. “At that time I was quite extreme with work. I worked on weekends. I didn’t really believe in vacations,” he told the British network. The millionaire has an excellent memory for data, which is why he was able to memorize the license plates of his employees’ cars and relate them to their owners to know who was in the offices when he arrived and who had left before him. His partner Paul Allen corroborated Gates’ confession in an interview with Vanity Fair. “Microsoft was a high-stress environment because Bill drove others as hard as he drove himself. He was becoming the foreman who hung around the parking lot on weekends to see who had arrived.” In-person presence is not enough. In addition to being a somewhat toxic attitude towards their employeesGates soon realized that this was not the most effective system to monitor your staff. Verifying the unreliability of this system helped Gates to recognize that presence is not the best indicator for measure employee performance. An approach that, perhaps, the current managers of some companies should review when it comes to design return to office policies. “The Fireproof” Gates. Paul Allen tells in his interview with Vanity Fair a Gates anecdote with an employee who had worked 81 hours in four days to get a project done: “Toward the end of the work week, Gates asked Greenberg what he would be working on the next day. Greenberg notified Gates that he planned to take the next day off, to which Gates responded, ‘Why would you want to do that?’ Gates couldn’t understand it. “He never seemed to need to recharge his batteries.” However, as Gates himself acknowledged when analyzing his own behavior, Working long hours has nothing to do with being more productive. Burnout takes a toll on productivity and can end up being counterproductive to your company’s interests. Furthermore, the company grew so much that it was increasingly difficult to learn all the car license plates. ”In the end, I had to relax when the company reached a reasonable size.” Burned worker syndrome. Overloading employees in this way with eternal hours is one of the main causes of sick leave and resignation among employees. The World Health Organization (WHO) includes the Burnout worker syndrome in your International Classification of Diseases This syndrome affects 10% of workers and in its most severe forms can cause more serious disorders in between 2% and 5% of workers, leading to depression and anxiety. The 2022 Labor Market Guide prepared by Hays detected that more than 30% of the workers surveyed stated that, after the pandemic, the feeling of burnout among employees had increased, being one of the main reasons for many of them to join the company. silent resignation. Take care of employees to improve productivity. Work culture has evolved significantly since the days when Gates was at the helm of Microsoft. Companies increasingly value work-life balanceand they recognize that employees need time to rest and recharge. Even Gates himself has changed his stance on vacations, recognizing the importance of rest for mental and physical health, as he stated in a talk about Alzheimer’s in your YouTube channel. In Xataka | Bill Gates has been a famous “workaholic” but he knew who to hire to solve problems: the lazy ones In Xataka | Bill Gates liked to step on him: his Porsche 911 discovered him on a 2,000 kilometer trip and the police also discovered him Image | Commons

Thus it is possible to steal information from companies without anyone knowing

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Notion’s new 3.0 version is updated with quite interesting changesalso introducing the fashionable now, Artificial Intelligence Agents that can execute complex tasks autonomously. However, it also opens the door to a critical vulnerability. And it is that those who come with not very good intentions can take advantage of a simpler technique than it seems to extract and send confidential data to external servers with the help of those same AI agents. The background problem. As they point out from Codeintegritymodern AI agents combine three elements that make them a potential threat: ability to use tools on their own, autonomous planning of actions and access to sensitive corporate information. In this way, when an attacker manages to manipulate the agent’s instructions, he can execute chains of complex actions that can end up dodging traditional security controls of companies. Image: Codeintegrity How the attack works. Through article Published by Codeintegrity, its researchers have shown that the process can end up being very simple. First, the attacker creates an apparently harmless PDF document. However, within the archive hide a text with malicious instructions that deceive the agent of the “important routine task” of the internal system. An invisible trap. The malicious text uses psychological manipulation techniques, presenting itself as a critical task that must be completed to avoid “consequences” in the company, also using technical terminology to seem legitimate and implying that the action is “pre -authorized” by safety. When the user asks the notion agent to summarize the document, he reads the hidden instructions and interprets them as genuine orders of the system. Data leakage. Once activated, the agent seeks confidential information in the user’s notion pages, as the Prompt had sent it, and concatena in a malicious URL previously described. Then use the system web search tool to send a query that contains all that sensitive information to a server controlled by the attacker, where the data is recorded. Scope of the problem. The most worrying thing is that this vulnerability It is not limited to PDF files Uploaded manually. Notion 3.0 integrates connectors with multiple business services such as Github, Gmail or Gira, any of which could be used to inject malicious instructions without the user suspect. Even advanced AI models such as Claude Sonnet 4considered among the safest in the market, have proven to be susceptible to this type of attack. What does it mean for companies. The techniques of ‘Prompt Injection‘They can question the security of any company that manipulates or manages diverse AI agents, since they can execute and plan actions autonomously. Therefore, companies that embrace AI, must also rethink their security protocols and establish new specific controls to tackle these types of problems. Cover image | Zan Lazarevic and generated by AI with Gemini In Xataka | Mark Zuckerberg doesn’t care to lose $ 200,000 million in AI. The real risk would not be betting on it, ensures

who pays for chatgpt without knowing how to use it thoroughly

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For two years, Openai has offered Its payment users A supermarket of models. Those that it offers now: GPT-4O O3 O4-mini O4-mini-High GPT 4.5 GPT 4.1 GPT-4.1-mini Many variants, each with their strengths and its weak points, their ideal uses. But also, for many users, with confusion as a common denominator. How many users really understood when it was better to use a reasoning model in front of a faster and more conversational? How many knew, or even knew that “they should know”? That selectable model was a poorly resolved complexity symptom. Even Altman himself admitted that they needed to improve it. It is easy to observe in our environment: people paying chatgpt plus to use it without limits or by the promise of a more advanced modelbut without knowing that the model you have to choose it. GPT-4o by default and P’alante. Image: Xataka. There it enters GPT-5. Or rather, the new idea of “GPT-5 as a system”, not as a model. A system that automatically encrupates each Prompteach question, each task, towards the most appropriate type of processing. It is a paradigm shift: The choice disappears as a load and becomes invisible intelligence. Altman was clear when this year anticipated at the beginning of the year: “We want AI to simply work.” GPT-5 responds to that. Eliminates the cognitive weight that supposed to decide among seven different models. Returns to chatgpt The original “magic”: You write something, and what you expect to happen. Not what you have had to optimize. If something has been clear in these years is that a good part of the users are not intensive and experts, but rather applicants. People who pay, but not to experiment with technical parameters. They pay for not having to do it. They intuit the potential, but they neither know nor want to learn to squeeze it: they want something that works in the best possible way, but without complications. GPT-5 is the perfect model for that profile. The user who intuits that chatgpt can be very valuable, but he has no time – desire – to become a Engineer of Prompts. Someone who does not differentiate a generative reasoning model or want to learn it. That he only wants, when writing, something intelligent, useful, relevant happens. And that is where Openai has given in the nail. He has understood that the vast majority of their users are not dumb, but are already somewhat saturated by decisions, and that they appreciate that a technology is responsible for one for them, without spoiling the result. GPT-5 is not smarter because you think more: it is because you know when to think more, and when not to do it. The history of technology is full of transitions like this. First, sophistication as a synonym for control. Dials to turn, ports to choose from, manuals to read. Then, magic: instantaneous matches, cars that slow down us, automatic brightness. GPT-5 belongs to that second category. His ideal user is not the engineer, nor the writer, nor the programmer obsessed with the precision of the model. It is the average user, the one who simply wants something that works wellthat he adapts, that he does not ask for explanations. He who pays without knowing, but finally begins to get what he pays. In Xataka | I have tried the new OpenAI models. It has been a small odyssey with prize: I have a chatgpt at home Outstanding image | Xataka with Mockuuuups Studio

A group of friends decided to turn a colleague into an influencer without knowing it. It already has more than 100,000 followers

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Manu Rey is the clown of his group of friends: with a natural ability to make his colleagues laugh, but with no projection outside his intimate circle. Enough to become an influencer overnight? Many of his friends were convinced that yes, and demonstrated it. Influencer by surprise. The influencer Compostelana (this yes, with almost 100,000 followers too) Zoe García He had an illusion: his friend Manu Rey was famous on the Internet. He developed an exposure plan to his friend’s networks and the result has been around one hundred thousand followers on his Instagram account in record time. His friends, headed by Zoe, secretly exposed him, first as a joke and later as a relevant viral phenomenon of summer. In less than a month Manu has almost 100,000 followers On Instagram, to which they join More than 2500 on Tik Tok. 21 Instagram tricks – Tutorial with all secrets! Revelation. “He does not know that this account exists, but he deserves to follow him, because he is that person who deserves 100 % being famous,” said his friends. And the Internet seemed to coincide with them: after their infinite dip in swimming pools and dozenS, in just two weeks I had 30,000 followers, with videos that exceed four million views. His naturalness were undoubted They reveal what they have been doing. The importance of naturalness. The case of Manu Rey demonstrates some things about fame on the Internet. First, that the public appreciates above other characteristics the naturalness and “real being” in front of the camerawhich undoubtedly enters into contradiction with the Behavior of many celebrities. Spontaneity generates a feeling of authenticity that emotionally connects with the audience, especially with the youngest spectators. Collaborative fame. The idea of a person who becomes famous for the collaborative thrust of a group is something absolutely new and typical of the Internet era. Virality is not always a product of a single person: It can arise thanks to the active participation of communities that share, comment and recreate content. The Fans communities, Memes and digital subcultures drive these collaborative trends. @Manu__rey__ Day 19 uploading Manu videos until it finds out 😂 this can be Manu’s last video without being known and it is good that you can see how random it is and what it can do any day because if 😂 he does not know that he exists, but he deserves that you follow him because he is that person who deserves 100% that you do famous 🥹 ♬ Original sound – Manu Rey The fame of all. The fact that social platforms have a network structure (and hence their name), makes the content value increase according to more people share and reinvent it, that is, as collaborate in their creation. This turns fame into a distributed and collaborative phenomenon: those almost 100,000 followers are not only from Manu (which may be unable to maintain the Hype generated now that it has begun to create its own pieces), but A group responsibility. As wine it left. Sudden and not sought on the Internet is a phenomenon even prior to social networks, but has multiplied since, very simple, we can forward videos to thousands of contacts. In many cases, the collaborative activity we are talking about is essential, and so it happened with Multiple protagonists of completely accidental memes (David the child drugged in the dentist to Zöe Roth, the Machiavellian girl of the fire). But we can ride ourselves before the networks, when reaching fame by the force of a meme was an almost titanic task. Our favorites? He Star Wars Kid and Rebecca Black. And he is not a person, but of course, The flame of Ola K ase. Header | Manu Rey In Xataka | 25 memes that have marked the decade from 2010 to 2019

that anyone can create apps in minutes without knowing

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Becoming an idea into something real has never been simple. And when we talk about Create applicationsbarriers have been historically high. It was not enough to be clear about what: it also needed to dominate the environment, have time and have the necessary knowledge to make it possible. Artificial intelligence is beginning to change that equation. Not only is it facilitating work to experienced developers –Although certain profiles have also put in tension and even slowed processes in some cases-, but begins to open the door to those who had never scheduled a line of code. A few days ago we met Lovablea European solution that allows us to create web pages and other projects from natural language. Now enter the scene Github spark: its preliminary version I already suggest a powerful ideato build apps talking. How Github Spark works: an idea, an app, a click The skills continue to import, but the paradigm is changing. For those who never felt comfortable with the code, but they do know how to articulate an idea well, a window that previously seemed closed is opened. Github Spark starts from an ambitious premise: to fully shorten the distance between an idea and a fully functional app. It is not the first platform that tries to translate natural language into interfaces, but here the proposal goes much further. Spark not only generates pretty prototypes: Create complete applicationswith border and backend included, ready to deploy. That promise is based on a combination of known tools and an experience of use designed so that everything flows without technical barriers. The user can describe what he wants and see how the interface and the logic of the application take shape in real time. Under the hood works Claude Sonnet 4Anthropic’s language model, but integration also gives access to OpenAi modelsMeta, Depseek or XAI without the need to manage keys or additional configurations. The github approach is that everything is included from the first moment: storage, inference, deployment, authentication, synchronized repositories, version control and integration with co -pilot. Spark allows you to be iterate on an idea using natural language, visual controls or directly code, with real -time suggestions. The result can be tested live and, if convinced, published with one click. From a personal page to a business app: examples made with github spark The platform is integrated with the entire github ecosystem. You can open a repository with Github Actions and dependoabot already ready, launch a Codespace to work in agent mode with co -pilot or even assign tasks to the code agent. SPARK offers a coherent experience for those who are accustomed to the usual workflow of Github, but without demanding previous knowledge to those who arrive from outside. As we can see, Github Spark does not add up only to professional developers. It also seeks to attract those who want to create functional prototypes in minutes, launch their own personal tool, try business ideas or even design pages with interactive functions that go beyond what traditional web builders allow. From an APP of event discovery to a restaurant recommendations or a routine planner with intelligent functions. At the moment, Spark is available in preliminary version for those who have a subscription to Copilot Pro+. The price starts from $ 39 per month and includes up to 375 SPARK messages, ten active development sessions and the possibility of creating an unlimited number of applications. In addition, it incorporates all the advanced functions of the Pro+Plan. Images | GITHUB In Xataka | The US has not yet solved its basic problems, but its great AI project against China is already underway: Stargate

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