We have turned WhatsApp into an “emotional pacifier”. And science warns that it is making us more fragile

A message sent, a double check blue and, suddenly, silence. In that period of time, which can last minutes or days, the stomach shrinks. The immediate reaction for many is instinctive: unlock the screen of the smartphoneimmersing yourself in social media, sending looping messages seeking solace. We have turned our devices into an “emotional pacifier” to calm the anxiety of “not knowing.” In an era where hyperconnection promises us instant answers, science and psychology issue a clear warning: our inability to tolerate uncertainty is making us increasingly fragile. The brain in the face of chaos. To understand what happens to us, we have to look at our biology. As psychologist Regina López Riego explainsour brain is evolutionarily designed to look for patterns and make sense of everything around us. “This was key to our survival as a species: identifying threats and anticipating dangers,” he says. However, in today’s world, that need for certainty translates into constant suffering. The problem is that we live in a universe governed by entropy. From the team of Nalu Psychology remember thatbased on chaos theory and thermodynamics, systems tend toward disorder. “The future is uncertain and, one way or another, we deal with it as best we can,” they explain. When changes threaten, fear takes center stage, alerting us to possible danger. To mitigate that fear, we resort to a patch: control. However, it is a trap. The brain processes the symptoms of anxiety in the same way that it relates to uncertainty, releasing large amounts of norepinephrine that affect our nervous system. The more we try to tie down the future, the more discomfort we generate. The trap of overthinking. When the mind has no data, it invents it. The psychologist Marta Valle In his blog he explains that overthinking not as a lack of intelligence, but as a failed protection mechanism born of fear of error and low tolerance for uncertainty. It manifests itself in two ways: ruminating on the past or worrying in anticipation about the future. “You think that if you think about it enough, you will avoid a problem,” he details, but the end result is paralysis, insomnia and disconnection from the present. Experts from Harvard Mental Health Services (CAMHS) They have a name for this phenomenon: “toxic time travel.” Dr. Rue Wilson, a psychologist at this institution, describes how we try to feel in control by imagining different outcomes. “We get stuck ruminating, overwhelmed by ‘what ifs,’ and disconnected from the present, which is where we really have the most certainty.” Feed a bigger monster. This loop ends in what psychologist Laura Marín defines as generalized anxiety disorder (GAD)where concern is constant and fueled by overestimating the risks. Marín illustrates this with a clear example: two women, Alicia and Brenda, undergo a medical test. While Alicia asks whatever is necessary and continues with her daily life, Brenda compulsively searches for information on the Internet and needs her partner to continually reassure her. It is the so-called “reinsurance search”. Checking emails, postponing decisions or constantly asking for opinions are strategies that give false relief in the short term, but in the long run make us unable to tolerate the slightest doubt. The cell phone as an escape route. The need to escape from uncertainty has found in smartphones your best ally, but at a high cost for mental health. Rigorous research supports this claim. In a couple of published studies in the scientific journal Science Direct (led by Jon D. Elhai and colleagues in 2017), it was demonstrated through systematic reviews that the severity of depression and anxiety are strongly linked to problematic mobile phone use. One of the most revealing findings of Elhai’s research differentiates between “social” use of the phone (messaging, networks) and “process” use (consumption of news, entertainment, scroll passive). The study found that anxiety is much more related to process use than social use. That is, people with anxiety use the non-social functions of their devices as an avoidance mechanism (such as doomscrolling or addictive consumption of news) to avoid facing stress, this “use of process” being the direct bridge to mobile addiction. In fact, Dr. Leigh W. Jerome warns precisely about this habit. In the face of global chaos, doomscrolling It does not prepare us for the future, but “can cause headaches, muscle tension, high blood pressure, and difficulty sleeping.” Leon Garber, mental health counselor, adds a vital reflection on compulsive doubt avoidance: “Avoidance, in and of itself, is not negative (…) but imagine how many missed opportunities for growth or connection, over time, add up to a lost relationship.” Garber points out that even therapy has a limit if the patient is only seeking definitive answers. “We have to learn to live with uncertainty. Fundamentally, we have to learn to live,” he says. The trap of the hyperconnected world. The desire for certainties not only affects the individual, but shapes our society. An analysis published in The Conversation reminds us thatAccording to Maslow’s pyramid, security is a primary need. However, the obsession with eliminating all risks has a dark side. “There are desires that should not be fulfilled and that of radical security is a desire that can never and should never be satisfied,” the article underlines. Trying to control everything, whether through algorithms, surveillance cameras or the transfer of freedoms, strips us of our humanity and leads us to voluntary servitude. Instead of delegating control to technology to avoid panic, experts advocate a “pedagogy of responsibility”, appealing to the values ​​of Kant and Rousseau, where we assume that zero risk does not exist. How to inhabit the void. Since uncertainty is inevitable, the solution is not to find all the answers, but to change our relationship with the questions. According to institutions such as Harvard CAMHS and diverse psychology professionalsthere are four keys to navigate the uncontrollable: Focus on what you control: challenge the illusion of absolute certainty. If you lose your job, you can’t control when you’ll be hired, but you … Read more

The Internet has made data the new digital gold. And that’s why we are more fragile than ever: Crossover 1×27

The Internet is wonderful until it isn’t. We have made it such an integral part of our lives that we are doing something dangerous: telling it too much about who we are and what we do at any given moment. And that has its risks. To talk about all this in this Crossover 1×27 We have invited José, better known as Hackavisswho is an expert in cybersecurity and digital forensics. He explains to us how hackers can end up stealing our data or what dangers exist on the deep web. And there are many, both in the deep web of before (Tor) and now, because Telegram is a digital underworld in itself. That they are not alone, because dangers also lurk in the Internet that we all see and use daily. This is how Hackaviss tells us (or rather scares us) about disturbing cases in which, for example, hackers can request a loan in your name with just a photo of your ID. There are many more, but in all of them there is the same focus: The data. Because as this expert says, data is the new digital gold. Especially for cybercriminals, who obtain that personal information and then use it in all kinds of ways, both to impersonate identities and to exploit them and defraud people or entire organizations. The types of scams, as Hackaviss explains, are almost unlimited, and in fact reminds us of the famous case of Silk Roadthat of snowden or that of Pegasus and then link to modern cryptocurrency scams. There is a little bit of everything and for everyone, and the conclusion is always the same: be careful how you use the internetbecause we are increasingly fragile in the network of networks. On YouTube | Crossover

The Neoclouds promised to democratize the AI. Right now are the most fragile and indebted link in the entire sector

Coreweave, Lambda Labs, Crusoe and Nebius They represent the most booming and also more fragile link in the AI ​​value chain: Neoclouds. These companies have raised tens of billions in capital and debt to build Data centers full of NVIDIA GPUSbut its business model rests on an increasingly questionable premise: that the demand for computing capacity to continue to grow exponentially. Why is it important. The problem is not just that these companies lose money. Is that its financial structure depends on a vicious circle: They raise debt to buy GPUS. They use those GPUS as a guarantee for more debt. And the money they enter comes mostly from the same companies that sell them the chips and lend them the money. The model. The Neoclouds They came promising GPU infrastructure in months, no years, already prices up to 66% cheaper than AWS, Azure or Google Cloud. The proposal sounded well: companies needed GPUS and Hyperscalers (AWS, Azure and Company) did not supply. The market responded with enthusiasm: Coreweave went from billing 16 million dollars in 2022 to 5,350 million in the last year. Nebius (which has exploded in the stock market and whose germ is Yandex) grew from 5 million quarterly to 105 million. The segment Neocloud As a whole, 82% per year has grown in the last four years. The problem of the single client. Coreweave generated 60% of its 2024 revenues by renting capacity to Microsoft for Openai. Only Microsoft. Nvidia represents another 15%. If you eliminate a The magnificent seven already openai of the accounts of the main Neocloudsthere are hardly 1,000 million dollars of combined income, As calculated by analyst Ed Zitron. Lambda Labs has half of his income at Amazon and Microsoft, plus 1.5 billion in a contract with Nvidia. Almost all Nebius’s growth projection comes from A 19,000 million agreement with Microsoft. There is no diversified market of business clients. There are a handful of technological giants using these suppliers as an exhaust valve or as a vehicle to move money without inflating their own capital expenses Aka Capex. The money trail. Coreweave owes 25,000 million with annual revenues of 5,350 million. Its debt-active ratio reaches 85.4%. It is like two times your annual salary. And unlike the property that supports a mortgage, the GPUS depreciate quickly. Nebius He has just closed a 4,200 million round to build the infrastructure that allows you to fulfill your contract with Microsoft. Lambda Labs and Crusoe have raised hundreds of millions in risk and debt capital. The model is always the same: You get a large contract. You use that contract as a guarantee to raise debt. Purchases Gpus to Nvidia. Rrena more data centers. Repeat. The problem arises when the Ancla client decides that he no longer needs so much capacity, or when you cannot build the infrastructure quick enough. Between the lines. Nvidia has invested directly into several Neoclouds And it is also its largest supplier and, in many cases, its largest client. Coreweave signed a 6,300 million agreement with Nvidia a few days ago For the manufacturer to buy any capacity that cannot be sold to other customers until 2032. In the end we see an elaborate mechanism of Circular financing: Nvidia needs to sell GPUS to maintain its growth. The Neoclouds They need to buy GPUS to fulfill their contracts. The Hyperscalers They need additional capacity but do not want to inflate their capex. And the Private Equity You need to place tens of billions in something that seems the future. In figures. Building a Data Center Capacity Gigavatio costs between 32,500 and 50,000 million dollars. Oracle and Crusoe took 2.5 years to complete a gigavatio for Openai. Nebius has promised to build multiple gigawatts in increasingly unrealistic terms. The alarm signal. Coreweave has reported important operating losses in its last quarter despite explosive growth in income. Nebius plans to reach 1,100 million in annual recurring revenues by the end of 2025, almost exclusively driven by the contract with Microsoft. What happens if Microsoft decides that you can build your own cheaper capacity? Or if Openai, the final customer of much of that capacity, collapses under the weight of their own losses? The decisive moment. The consolidation has already begun. Coreweave has just bought Core Scientific for 9,000 million in shares. Only great will survive, and probably not many. It is a matter of time when the adjustment will arrive. The doubt is how much damage will cause when billions in debt collide against the reality that the real demand for GPU capacity is a fraction of what is assumed. In Xataka | The PC is mutating: the future is filled with AI work stations so you can have your chatgpt at home Outstanding image | Nebius

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