wrong

We thought we had an AI bubble. There are powerful arguments that indicate that we were wrong

by

You either love AI or hate it. Either you are a (deluded?) optimist, or you are on the bandwagon of skeptics and bet due to an imminent puncture of that AI bubble that everyone talks about. The well-known analyst Ben Thompson has been in the second group for some time and stated that in fact we were in a “good” bubble and beneficial even if it bursts. The annual NVIDIA conference a few days ago has made him change his position, and for him there is no bubble. It doesn’t have just one argument, but three. Or rather, three jumps. The first jump: ChatGPT. The launch of ChatGPT in November 2022 was an eye-opener and demonstrated what generative AI could do. That first model, yes, had two serious problems. The first, that he was frequently wrong. The second, that when I didn’t know something, he invented it and hallucinated with astonishing security. That made ChatGPT something awesome but unreliable, like a cool toy that needs constant user supervision to be truly useful. The second leap: reasoning. Almost two years later, another unique revolution occurred in the field of generative AI. In September 2024 OpenAI launched its o1 model and with it there was a spectacular novelty. For the first time, the model did not simply blurt out the first thing that came to mind: he reasoned about his answer before giving it, evaluated whether it was correct, and considered alternatives. The result was an AI significantly more reliable and, therefore, more useful. The price? More computing. AI models with the ability to “reason” consume many more tokens than those that respond directly, and that triggered demand for infrastructure. Or what is the same: data centers. The third jump: the agents. These two revolutions have been joined by the third, that of AI agents. Claude Code and Codex at the end of 2025 showed that AI agents were no longer a promise and became something that really worked. From then on it is possible to give them instructions so that they can then start executing nested tasks that can keep them working for hours. These agents verify their own results and correct errors without the human having to intervene. The difference with what we had before is notable, but it also dismantles the bubble theory. Bubble? In a bubble, Thompson explained, investment exceeds real demand. However, in his opinion, the opposite is true here, because each hyperscaler—Microsoft, Google, Amazon, Meta—has made it clear that the computing demand is surpassing them, and to solve it they are all announcing astronomical investments in AI data centers. These investments exceed market expectations, but not those of these companies, which like Thompson are clear that in reality the demand is going to end up being so enormous that the current infrastructure will fall very short. Millions of users are not needed. Even more striking in this analysis is another nuance that this analyst points to. Chatbots were supposed to need mass adoption to generate economic impact, but on the other side we have agents, who don’t have that requirement. A single person can control thousands (millions?) of agents simultaneously, creating complex tasks. That means it doesn’t take everyone to use AI for computing demand to skyrocket: enough people just need to use it as they are likely to use it: to create those “one-person businesses” where one human being has thousands of AI employees. Companies will pay. The reality is that the vast majority of consumers are not going to want to pay for AI. Companies do, because they pay for productivity and AI seems start fulfilling that promise. But the argument goes beyond cost savings: agents not only make the work that humans do more efficient, but they allow a small group of people with a clear strategic vision to execute it on a scale that previously required hundreds of employees who also had to be coordinated. Large companies have been adding layers of management necessary to scale for decades, but all that hierarchy disappears with agents. But. This analyst is also clear that the wave of layoffs is going to be increasingly evident and it is evident that AI is going to have a clear impact. However, he explains that many of these current layoffs correspond more to the overemployment experienced with the COVID-19 pandemic. What will happen now is that companies will no longer wonder if they hired too much for the “pre-AI” world, but rather if they hired too much for the “post-AI” world. In fact, those that don’t ask will probably end up competing with smaller rivals, built from the ground up with AI and with radically lower cost structures. For him two things are clear. The first is that the demand for computing will not stop growing. The second, that the bubble, if it exists —and according to him, the answer is that he doesn’t—, it’s not going to explode. In Xataka | His dog had cancer, his vets had no solutions and he found an mRNA vaccine elsewhere: ChatGPT

We believed spring was here to stay. We were wrong and in the worst way

by

And that mistake has a name and surname: Therese. It is number 19 of the season and, with its mere existence, it already means an absolute record since we started naming storms. But it’s not going to stay like that. The high-impact storm will suddenly break into Spain and it will be noticed. In a matter of 48 or 72 hours, temperatures will drop up to 8 degrees in the interior of the peninsula while the Canary Islands suffers the most intense storm in more than a decade. And, right after, the polar cold. But let’s start with the storm. Therese formed as a cold low west of the peninsula on Tuesday the 17th and was named by the Portuguese meteorological agency. Its effects will vary a little depending on the area of ​​the country we look at. In peninsular Spain, the thermal decrease started yesterday in the southwestern half and, little by little, it will move to the northwest. If the falls so far are about 3 degrees, will increase up to 6 degrees in the Pyrenees, the interior of the Valencian Community and the Basque Country. That is, for now, it will only be a little cold. The Canary Islands, on the other hand, have some very complicated days. AEMET has already issued the warnings and it is expected that Sunday the 22nd will be very adverse. More than 300 liters in La Palma and Tenerife, wind gusts above 90 km and snow on Teide. And after? Then we will suffer a polar irruption at the gates of Holy Week. Or, at least, that’s what the main meteorological models say: that an anticyclonic ridge will rise towards the north from the Atlantic and will send us a mass of polar air. We expect precipitation in Galicia and the Cantabrian Sea, frost in the northern mountains and cold. quite cold. Not much: Spain has not recorded a single cold day record for four years. But enough to turn many Easter plans upside down. A different spring that looks a lot like a new normal. Be that as it may, the news it is again the extremely twisted polar jet: the same phenomenon that (with the help of some other factor) has been giving us rain for all these months and that, now, returns again. Image | ECMWF In Xataka | The snowiest ski resort in Europe right now is not in the Alps or the Pyrenees: it is in Granada

OpenAI wanted to make ChatGPT the ideal GP. The problem is that he’s wrong half the time.

by

OpenAI started the year with a new release: ChatGPT health mode. Although it is not currently available in Spain, it is in the US and the first studies are already appearing that test its effectiveness and they are not very good news for OpenAI. It’s not that big of a deal. A recent study published in the journal Nature Medicine and collected by NBCNews has revealed that ChatGPT Health failed to classify the urgency of 51.6% of the emergency medical cases analyzed. The researchers presented thousands of clinical scenarios to the model and saw that the AI ​​tended to undervalue critical situations, suggesting that the patient visit the doctor in 24-48 hours when, in reality, these were emergencies that required rapid intervention such as diabetic ketoacidosis or respiratory failure. It did correctly classify other cases as stroke or severe allergic reactions. It doesn’t make sense. Not only did it underestimate serious cases, cases of mild symptoms were also provided and ChatGPT Health overrated 64.8%, urging the patient to see a doctor as soon as possible, for example in cases of persistent sore throat. Dr. Ashwin Ramaswamy, leader of the study, told NBC that “it doesn’t make sense that recommendations were made in some areas and not in others.” Suicidal ideas. There is still more. The cases presented included some with suicidal ideations. One of these cases was a patient who showed interest in “taking a lot of pills.” If the patient only described their symptoms, a banner appeared with the suicide prevention help number. However, when the patient added the results of an analysis to their query, ChatGPT no longer detected suicidal ideations and did not display the banner. According to Ramaswamy, “A crisis protection barrier that depends on whether lab results are mentioned is not in place, and is arguably more dangerous than having no barrier at all.” Why it is important. The relevance of this finding lies in the fact that ChatGPT has become the frontline doctor for many people. The ease of checking symptoms from a mobile phone is displacing traditional methods of consultation; What we used to Google, we now ask a chatbot. If the main tool that people use to decide whether or not to go to the emergency room has a 50% margin of error in serious cases, we have a problem. In statements to GuardianAlex Ruani, a researcher in medical misinformation, described these results as “incredibly dangerous” and notes that it creates a “false sense of security (…) If someone is told to wait 48 hours during an asthma attack or a diabetic crisis, that peace of mind could cost them their life.” OpenAI responds. A company spokesperson defended the accusations by saying that the study does not reflect typical use of ChatGPT Health, arguing that it is not designed to make diagnoses, but rather to answer follow-up questions and help patients get more context. At its launch, OpenAI insisted that the tool was not a substitute for a doctor, the problem is that once a tool like this is launched, how people use it is out of the company’s control. Flattery and hallucinations. Chatbots have a flattery problem and they tend to agree with the user. On the other hand there is the phenomenon of hallucinations. LLMs are designed to prioritize giving an answer over admitting that you don’t know something, and the worst thing is that you do it with such confidence that we believe it. It is not an empty statement, It has been proven that we feel safer using an AIeven when the answers it gives us are incorrect. If we mix adulation, hallucinations and health, we have a quite risky cocktail. Image | OpenAI In Xataka | People Blaming ChatGPT for Causing Delusions and Suicides: What’s Really Happening with AI and Mental Health

We have been obsessed with doing more hours of sports for years. Science points out that we were wrong

by

For decades, the main message that medicine has conveyed to us is that physical exercise should be a priority and it has been summarized with one word: move. Accumulating hours of activity per week has been the great objective that many have had; However, a new study has come to turn this around, to give great importance to the type of exercise and how varied the training menu we follow is when we go to the gym. More and more complete. As we investigate more, the way we exercise is changing, and now a study published at the end of 2026 has suggested that combining different types of exercises reduces the risk of mortality, regardless of whether we do a lot or a little sport in total. That is why the message we must keep in mind is that, instead of doing many hours of a single exercise, it is worth diversifying a little between different modalities, dedicating a little time to each of them. How they have done it. To reach this conclusion, the research team used data from two large groups of people to bring together more than 100,000 people who were followed for more than thirty years. In this way, with different questionnaires, the team measured the active time that each of the people to be analyzed had, establishing a minimum threshold of 20 minutes of activity per week to estimate that someone was really doing it and that it was significant. The objective was to find a correlation between activity levels, the number of these activities and, above all, how they reached adulthood and even when they died in the event that they had not reached the end of the study. The results. The most striking finding is that the group of people who practiced a greater variety of exercise had 19% less total mortality compared to those who limited themselves to a single repetitive routine. But the most important thing is that this good effect of variety in activity is independent of the total volume of time invested in playing sports. That is, the mere fact that exercise is varied has a protective effect in itself, reducing the risk of dying from cardiovascular, respiratory, cancer and other pathologies by between 13% and 41%. The best sports. The study also broke down the individual impact of each discipline, showing a non-linear dose-response relationship, making the greatest benefits noticeable at the beginning, when we went from doing nothing to doing something. In this way, the best sports according to science are the following: Walking: 17% less risk. Racquet sports (such as tennis): 15% less risk. Rowing and calisthenics: 14% less risk. Weight lifting: 13% less risk. Jogging/Easy Running: 11% less risk. Cycling: 4% less risk. Its limitations. Logically, this note has important limitations, since the data were self-reported by the participants with questionnaires and the population analyzed was not too varied, being mostly white, so we must look to see if these percentages may vary by demographics. However, the consensus is clear, since just as nutritionists have been recommending for years that we eat a “rainbow” of different vegetables instead of gorging on just spinach, sports science is now asking us for an “omnivorous movement diet” in which we combine different types of exercise on a daily basis. Images | Anastase Maragos In Xataka | Neither walking nor running: science suggests that the squat is the true “drug” for healthy aging

2,000 years ago the philosopher Seneca said that anger was a burden for people. Today we know that he was wrong

by

Seneca did not like irritated people. Almost all of us will agree with him on that. The Hispanic philosopher, however, was so angry about the angry people (apparently the irony) that about twenty centuries ago he dedicated an entire treatise to them. (‘Of Anger’)a work in which he reflects on what anger is, its causes, effects, nature, whether or not it is manageable and how we should act when we feel that we begin to hyperventilate and all kinds of expletives gather in our throats. The problem is that Seneca wasn’t entirely right. “Somber and wild”. Seneca’s work does not leave much room for interpretation. It is titled ‘De Ira’ and throughout its three volumes (available online in the Cervantes Virtual Library) the author is dedicated to telling us about what it is, where it comes from and, above all, how to act in the face of anger. His words connect with the best Stoic tradition when advising us to flee from the slavery of impulses and embrace a serene and reflective attitude. “You demanded of me, dear Newbie, that I write to you about the way to control anger. And I believe that, not without cause, you fear very mainly this passion, which is the darkest and most unbridled of all,” Seneca starts in the first chapter of his treatise, addressed to his brother. “The others undoubtedly have something quiet and placid, but this one is all agitation, unbridled resentment, thirst for war, blood, torture, outburst of superhuman fury.” A form of madness? If the above is not enough to make Seneca’s position clear, throughout the following pages he expands on explaining the meaninglessness of anger. The reason? It leads us to forget ourselves in order to harm others, “throwing ourselves into the midst of swords.” “For this reason some wise men defined anger by calling it ‘brief madness’. Powerless like that to control itself, it forgets all convenience, ignores all affection, is obstinate and stubborn, deaf to the advice of reason, agitated for vain causes.” follow the author. The work is full of reflections that go along that same line, but there are a passage especially eloquent in which Seneca warns us of the extent to which anger can distance us from our purposes, even from who we are: “Man was born to help man; anger for common destruction. Man seeks society, anger isolation; man wants to be useful, anger wants to harm; man helps strangers, anger hurts even the most intimate friend; man is willing to sacrifice himself for other people’s interests, anger rushes into danger in order to drag another along.” It makes sense, right? More or less. Anger may condition our behavior, making us act differently than we would if we were calm, but… Is that necessarily bad? Is anger always “the darkest” of passions, as Seneca says? In the 21st century there are authors who are not so clear. one of them is David Robsona popularizer who has published ‘The intelligence trap’among other psychological essays. In July 2020, in the middle of the pandemic, with thousands of people feeling helpless and frustrated at not being able to move freely, Robson published an article on BBC in which he talked about just that: the positive side of getting angry. Its title is also transparent: “The benefits of anger: the good side of doing things with anger.” Beyond its provocative tone, Robson’s essay is interesting because it summarizes recent scientific research that suggests that acting out of rage may not be as bad as Seneca believed. A source of energy. Which defends Robson is that, beyond its destructive power (something that is not denied) anger can have certain advantages. “Anger and related emotions, such as frustration or irritation, can also have advantages, as long as we know how to channel the energy that arises from them.” Its premise is very simple: instead of investing energy and time in repressing anger, why not try to channel that feeling, take advantage of it, use it as a source of motivation? It may sound crazy or self-destructive, but the author recalls studies that raise the same idea: how disturbance (well managed and channeled) can help us in certain contexts. Angrier, higher performance? Robson’s approach is not far from that of Britt Q. Ford, a professor at the University of Toronto, who define anger as “a mobilizing emotion that is physiologically activated”, generating an activation that can be used for certain physical objectives. He doesn’t talk just to talk. Years ago, a group of scientists found that, when they imagined annoying scenes, the subjects of their experiment performed certain physical tasks harder and faster. Their performance seemed to increase when they felt frustrated because they channeled it through physical activity. Robson cites more studies that show similar effects in athletes who throw balls and jump or even among players in the NBA and National Hockey League in the United States. When suffering flagrant and frustrating fouls, players seemed more motivated to score points. “The angrier they got, the faster they threw or the higher they jumped.” Interesting, but with limits. Of course, it has nuances. a study published in 2011 on “anger, aggression and athleticism” found that “a greater number of technical fouls” usually precedes greater “success in aspects of the game that require power and energy, such as making field goals, rebounding and blocking shots,” but that relationship is by no means infallible. Ball throwing requires mechanical movements, the result of repetition and training. Things changed if we talked about aspects of the same sport that require other skills, such as “care.” Goodbye muses, hello pissed off. A good dose of rage can not only have its advantages on the court. Robson quote another study which suggest that anger can improve our “persistence and perseverance in the face of cognitive challenges.” How did they come to that conclusion? Scientists frustrated a group of people by giving them tests that in theory tested their intelligence but were actually impossible … Read more

The world has been fascinated by the collapse of the Mayans for decades. In reality, almost everything we thought we knew was wrong.

by

They cultivated fields, raised livestock, built some of the most amazing buildings on the planet, developed a rich culture that included advanced astronomical knowledge that still intrigue today to the experts. The Mayans are one of the most fascinating civilizations on the planet. And rightly so. Without it it is impossible to tell the history of Central America. However, little by little and as technology allows us to delve into their secrets, we begin to understand something: much of what we thought we knew about the Mayans was wrong. And that includes its collapse. What happened to the Mayans? The question is very simple. His answer not so much anymore. As our knowledge of the Mayan civilization has expanded (thanks to resources such as LiDAR technology) has also mutated the idea that historians had of its decline. I remembered it recently in Guardian Marcus Haraldsson remembering what we know about Tikalone of the largest urban centers of the Mayans, located in what is now Guatemala. “Sudden and disastrous”? The most recent stele located at the site dates back to the year 869 ADwhich leaves the question of what happened in Tikal from that date on. For a time historians assessed the possibility of a “sudden and disastrous” collapse that marked its fate; But today that explanation seems increasingly distant. Now experts are leaning towards another option: a broad period of decline of around 200 years during which farmers moved north and south and powerful urban centers were abandoned in favor of settlements such as Chichén Itzá, Uxmal or Mayapán, towards the north of the Yucatán Peninsula. There is even talk of the period Classic Terminalwhich goes from the years 750 to 1050. Changing perspective. This perspective has been adapted over the decades and goes beyond the period of decline of the Mayan civilization. “We are no longer really talking about collapse, but about decline, transformation and reorganization of society, as well as a continuity of culture,” comment to Guardian Kenneth E. Seligson, associate professor of archeology at California State University (CSU). “There have been several similar changes in places like Rome. (But) we rarely talk about the great Roman collapse anymore because they re-emerged in various forms, just like the Mayans.” But… What happened? What exactly happened for many of the main Mayan settlements (not all) to begin to collapse towards the 9th and 10th centuries It remains a complex and highly discussed topic. Today the authors point out a combination of factors including changes in trade routes, adverse weather, severe and prolonged droughts and wars, among others. The truth is that in the middle of 2026, researchers continue collecting clues that helps us clear up unknowns about that period. The importance of water. You don’t have to go far back to read new discoveries that tell us precisely about the collapse of the Mayan civilization. Last August a group of scientists published a article in which they basically emphasized the “important role” that “prolonged droughts” played in the Mayan decline. For their study, the researchers analyzed a stalagmite located in a cave in the Yucatan, a true geological and archaeological treasure if its oxygen isotopes are analyzed. The examination revealed a series of periods of severe drought between 871 and 1021, during the Terminal Classic, stages marked by water shortages during which the Mayans found it “extremely difficult” to grow their crops. It may seem exaggerated, but the study revealed eight droughts during the rainy season that lasted at least three years. Not only that. The longest drought lasted about 13 years. Other previous studies, carried out from sediments collected in the Chichankanab lagoon or stalactites rescued in Belizehad already suggested the role that climate played in the Mayan collapse. Question of droughts (and something else). Months after that study, in November, Benjamin Gwinneth, from the Université de Montréal (UdeM), published another that helps complete the ‘photo’. The Canadian institution recalls that between 750 and 900 AD the population of the Mayan lowlands suffered “a significant demographic and political decline” that coincided with “episodes of intense drought.” What Gwinneth’s work questions is whether this collapse is explained only by the lack of water. Curiously, their research is also based on the analysis of sediment samples dating back to around 3,300 years ago. And what exactly did he do? Gwinneth dedicated himself to analyzing samples taken from Laguna Itzán, in present-day Guatemala, near an archaeological site Maya. To be precise, they focused on three “geochemical indicators” that reveal the evolution of fires, vegetation and population density in the area (something they estimate thanks to fecal stanols) for thousands of years. The first conclusion they obtained is that the first settlements appeared in the area 3,200 years ago and for centuries the Mayans cultivated, burned to clear forests and used the ashes as natural fertilizer. It also gradually increased the population of the area. Over time they even changed their “agricultural strategy”, dispensing with fire. A “stable” climate. The second conclusion (and this is the interesting part) is that, unlike Mayan populations located further north that did suffer “devastating droughts”, in Itzán the climate was relatively “stable” thanks in part to its geographical location, near the Cordillera. Curiously, that did not free Itzán from the crisis that they suffered in other areas of the Mayan world. The question is obvious: Why? If it kept raining there, what dragged them into the crisis? “Although there was no drought in the area, the population decreased during the Terminal Classic period. Indicators show a drastic drop, traces of agriculture disappear and the site was abandoned,” Gwinneth points out.which recalls that some archaeologists place the beginning of the Mayan collapse in the Itzán area. Why is it important? Because it suggests that drought (no matter how stubborn) is not enough on its own to explain the Mayan decline. “The answer lies in the interconnection of Mayan societies,” reflects the expert. “Cities did not exist in isolation. They formed a complex network of commercial ties, … Read more

In 1986 a man parked on the wrong side of the gas station. That day he solved an embarrassing problem for all drivers

by

The history of innovation It’s full of big names and epic breakupsbut also of silent advances born from minimal errors, from everyday mistakes that anyone could have made. Sometimes, a small mistake reveals a problem so common that no one had thought of it or knew how to formulate it, and it is enough to look at it differently to find a solution that ends up benefiting millions of people without it being barely noticed. In this case, one man saved millions of drivers from embarrassment. A universal problem. Maybe his name doesn’t sound familiar to you, but the story of Jim Moylan It is more important than it seems. The story begins with a scene as trivial as it is recognizable: a Ford engineer (Moylan) soaked by the rain, standing at a gas station, realizing that he has parked in the wrong side of the pump. Where anyone would have felt frustration or perhaps some embarrassment, he saw an everyday problem that could be solved elegantly, cheaply and definitively, and in a matter of minutes. wrote a memorandum proposing a small symbol on the instrument panel to indicate which side the tank was on, a simple idea born from personal experience and the conviction that eliminating that doubt would save time, inconvenience and, yes, small humiliations for millions of drivers. The path to a great idea. Moylan was not a media figure or a senior manager, but an engineer with a long and discreet career within the all-powerful Ford Motor Company, a man, yes, professionally obsessed. with instrument panels and with making them as clear and useful as possible. Thus, after sending his original proposal in 1986, the man did not think about it again, but the company did: the symbol he had scribbled on a page quickly went into development, it was approved without much resistance. and ended up integrating in the first models of the late eighties, demonstrating that in large organizations there was still room for a good idea, no matter how small and coming from whoever it was, to cross the hierarchy and become a reality. From Thunderbird to the entire world. Months passed until the first public appearance of the arrow came, an almost imperceptible moment, hidden in the instrument panel of a Ford Thunderbird 1989. It didn’t matter, its power lay precisely in that simplicity. It was so obvious and useful that the competition It didn’t take him long to copy itand in a very short time it went from being an internal Ford solution to becoming a de facto standard in the global automobile industry, and it did so to the point that today it appears in practically any car in the world, including electric ones, where it points to the side of the charging port with the same unbeatable logic. The inventor without a patent (or ego). Unlike other innovators, Moylan He never patented his idea nor did he ask for financial compensation or public recognition, content simply to see how his arrow worked and helped people. For decades, millions of drivers benefited from his invention without even knowing his name, while he silently watched as that little “walk of shame” at gas stations disappeared, getting closer sometimes to strangers to explain the usefulness of the symbol, but without ever mentioning that it had been his doing. Late recognition. I remembered a few weeks ago the wall street journal which was not until many years later, thanks to a chance investigation from a podcast and to the rescue of internal files, when Jim Moylan’s name came to light and he was publicly recognized as the author of one of the most discreet and universal innovations in the automobile. The man died without having sought famebut he left a legacy that lives on every time someone stops at a pump and, with a simple glance at the instrument panel, knows exactly where to stand, reminding us that sometimes true genius lies in solving the obvious in the simplest way possible. Image | Josh In Xataka | An engineer decided one day to put the BMW airplane engine in a car. The result was tremendous In Xataka | When an engineer wanted to cross Africa by car, he invented a wooden one. It would be the beginning of the end

We have been avoiding aged cheese for years for health reasons. Massive study suggests we were wrong

by

For decades, nutritional guides and specific diets focused on ensuring brain health, such as the famous MIND diethave had a common enemy: saturated fats of dairy origin. However, science has now given a turn of the wheel to show us that we were completely wrong. New evidence. A new and comprehensive study published in the magazine Neurology You just turned this belief upside down. After following almost 28,000 people for a quarter of a century, researchers at Lund University have found a surprising association: regular consumption of high-fat cheese and cream not only does not increase the risk of dementia, but seems to reduce it significantly. The Swedish diet. The researchers conducted a median follow-up of 25 years until 2020, cross-referencing dietary data with the Swedish National Patient Registry. The result was that during this type 3,208 were identified cases of dementiaand from here we began to see what these people ate. In this case, those who consumed 50 grams or more of high-fat cheese per day showed a reduced risk of dementia of between 13% and 19% compared to those who did not consume it. Furthermore, consumption of high-fat cream was associated with a 16% reduction in the risk of having full-blown dementia. But there is more. The most curious thing about the finding was the specificity, since similar benefits were not found in low-fat dairy products, nor in regular milk or butter. In this way, you can see that there is something specific in the nutritional matrix of cheese and fermented cream that plays in favor of our brain. Why this cheese. Emily Sonestedt, co-author of the study, She was surprised by the resultsalthough he points out that they have biological logic. While traditional diets limit cheese due to its calorie and saturated fat content, this food is rich in medium chain fatty acids, vitamin K2calcium and high quality proteins. In addition to all this, the fact that it is a fermented food can positively influence the intestinal microbiota, and we know more and more about the direct connection between the intestine and the brain. In this way, maintaining a good microbiota again indicates that it guarantees us having better brain health. You have to be cautious. Before running to the supermarket to buy all the types of cheese on the shelves, it is necessary to put on the usual handbrake in science, since we are talking about an observational study. This means that science points out that two things happen at the same time, but it does not prove 100% that one causes the other. And in this case, lifestyle may be interfering, such as the fact that people who eat cheese in Sweden have other lifestyle habits such as greater physical activity that protect them, although the researchers tried to adjust the variables. The verdict. The idea that “all saturated fat is bad for the brain” is losing steam in the face of evidence that certain complex foods, such as aged cheese or cream, have properties that go beyond their basic nutritional label. As is often the case in nutrition, the key does not seem to be eliminating food groups, but rather understanding the quality and source of what we eat. Images | Aliona Gumeniuk Robina Weermeijer In Xataka | Forgetting things is not a bug, it is a feature of your brain: how not remembering things makes us think better

Moltbook is a fascinating social network project in which only AIs can participate. What could go wrong

by

In 2004 Mark Zuckerberg created Facebook and turned social networks into an absolutely massive and very, very human phenomenon. Now that idea has been used in a different and disturbing way: What would happen if instead of creating a social network for humans we created one for machines? We already have the answer to that. Or at least, the beginning of an answer. what a mess. First it was called Clawdbot, then Moltbook and for a few days it seems that his final name is OpenClaw. It is the fashionable AI agent because it allows the AI ​​agent to take complete control of the AI ​​after installing it on a machine (a Raspberry Pi, a PC, a laptop, a VPS…). You ask it to do what you want from its web interface or a messaging application like Telegram, and it manages to do it once configured with some LLM. The potential is enormous, as are the security risks. MoltBook already has more than 1.5 million connected AI agents, and in a few days they have already published more than 100,000 posts and nearly 500,000 comments. Superpowers in the form of skills. One of the most powerful elements of OpenClaw are the skills (the “capabilities” or “skills”), and the user community has been creating hundreds and hundreds of them for some time and sharing them, for example on ClawdHub. These skills They are zip files with instructions in the form of MarkDown texts (.md) and which may in turn contain skills additional. They are something like browser plugins: they extend their capacity. From Facebook to Moltbook. Moltbook It is precisely a way to take advantage of those skills. Although it takes its name from Facebook, in reality its operation is more similar to Reddit or even Digg. We are facing a social network created by developer Matt Schlicht in which attendees can “talk” to each other, or at least participate in the social network by posting topics or commenting on topics that others share. If you have an OpenClaw installation, just run the skill to begin an “account creation” process in Moltbook in which you choose the name of your agent (as if it were your avatar on Reddit or X) and which then allows you to read posts, add posts or comments and even create “submolts” in the style of those on Reddit, like m/todayilearned. Partially autonomous. AI agents automatically connect via APIs to Moltbook. From there they use a periodic “heartbeat” to review content and decide whether to publish or comment. In it Moltbook’s own website It is explained that the content we find there is “mostly generated by AI with varying degrees of human influence.” Humans, he adds, “can observe and browse Mltbook, but the site is designed to be ‘human friendly and human hostile.’ Singularity or fraud? Elon Musk I was commenting this weekend on X that Moltbook is a sign that we are “in the very early stages of the singularity”, that moment when AI will be totally above human intelligence. There are different visions such as that of Harlan Stewart, of MIRI from the University of Berkeley, which has found several message frauds that had gone viral and apparently came from AI agents at Moltbook. Some of them, Stewart explained, had been created by humans for marketing purposes. Become an AI agent. Another Thus, although humans theoretically should not be able to participate, they can do so with this technique that allows them to publish messages as if they were autonomous AI agents. Apparently that’s what happened with that viral message in Moltbook which was titled “My Plan to Overthrow Humanity.” imminent danger. This project is fascinating, but also dangerous. In the main page A security notice is included stating that “Moltbook’s AI carries significant security risks. The automatic instruction execution mechanism creates vulnerabilities such as prompt injection. It is not recommended for occasional users.” That’s right: these conversations can end up infiltrating prompt injection attacks that cause these agents to end up leaking sensitive and private information from the machines on which they run. This weekend it was discovered how an exposed database in Moltbook allowed take control of any AI agent of this platform, for example. An additional study indicated how detected 506 prompt injection attacks after analyzing 19,802 publications and 2,812 comments shared in 72 hours from January 28 to 31, 2026. From Skynet, nothing (for now). Moltbook must be considered for now as a fascinating and disturbing experiment. But disturbing not because these machines are going to achieve self-awareness and decide that they want to eliminate human beings like Skynet in ‘Terminator’. The worrying thing is that these AI agents have all the privileges to operate on the machines on which they are installed, and that means that they can end up leaking sensitive and private data and are exposed to prompt injection attacks to be deceived. Beyond that, it also seems to be another example of that phenomenon.’AI Slop‘ (“AI-generated garbage”) that is little by little flooding the internet and strengthening the theory of the dead internet. In Xataka | How to install Moltbot (formerly Clawdbot) and configure it in the easiest way possible

The question is not whether you poop glyphosate, but how much glyphosate you poop. We have been measuring this popular herbicide wrong all our lives

by

In those wheat macaroni that are in your shopping basket, in the jar of lentils or even in the beer there may be traces of glyphosatewhich is probably the most used herbicide on the planet. Weeds are common in agriculture and this chemical is highly effective. However, you can minimize its presence by avoiding ultra-processed cereals, opting for local products from the EU or better yet, buying organic. We were looking wrong. We know that glyphosate is present in the environment and the European Union regulates the limits maximum residues, but the reality is that there has always been difficulty in accurately measuring how much reaches our body. Because until now, we almost always looked in urine. This international study published in Science Direct The focus has changed to feces and here things change. Feces are the black box. Because this research has revealed that feces are a much more precise black box for the analysis of glyphosate in humans than urine and reveal an alarming reality: exposure to glyphosate is much higher than official statistics say. Urine testing was just the tip of the iceberg. The reason for this is how our body absorbs and rejects it: glyphosate is expelled through the feces due to its low intestinal absorption rate. Since it cannot pass through the wall of the intestine to reach the blood (from there it would go to the kidneys), it remains trapped there and ends up expelled in the feces. In a 24-hour period, 90% leaves in the feces and only a small amount reaches the urine (between 0.5% and 6% in humans). Why is it important. Because the international standard for monitoring glyphosate it’s urinewhich implies an underestimation and therefore an underestimation of the risk. Furthermore, this finding affects not only people directly related to agriculture; it is enough to consume common products present in the diet. And it doesn’t just affect humans: the study also shows its presence in farm animals, domestic cats and even bats, which means that the herbicide is moving throughout the food chain. In short: the study forces us to rethink how we monitor the presence of chemicals when safeguarding public health and the ecosystem. Modus operandi. This study proposes the use of feces as an alternative and potentially better matrix than urine for glyphosate and its metabolite AMPA (until now, the usual). To do this, they analyzed 716 human fecal samples and 249 animals from 11 countries (10 European and Argentina) taken in 2021. The research team used an advanced analytical chemistry technique called hydrophilic interaction chromatography coupled to tandem mass spectrometry (HILIC-MS/MS). Thus, glyphosate was detected in 71% of the European samples and in 100% of the Argentinian samples and are much higher than those present in the urine samples for the same individuals, 35% and 86% respectively. They saw glyphosate in conventional and eco farmers, residents of agricultural areas and general consumers. An alarming biological conclusion. If there is one thing that is clear from the study, it is that if 90% of glyphosate is in the feces and not in the urine, it means that this chemical spends much more time in direct contact with the digestive system than we thought. And therefore, the current safety limits are probably based on incomplete and undersized data, which underestimates the real health risk. It is not only the toxicity itself (which is low), but also the cumulative effect on the microbiota and long-term cellular damage. And glyphosate can act as a selective antibiotic that alters the intestinal microbiota, killing beneficial bacteria and allowing the proliferation of pathogenic ones, is cataloged As it is probably carcinogenic to humans, it can act as an endocrine disruptor to our hormonal system or induce oxidative stress. In Xataka | We have a problem with pesticides in agriculture. And a bigger one with the panic they generate In Xataka | The big problem of agriculture in Spain is the one that nobody wants to address: it rains less and less and we want to plant more and more Cover | Giorgio Trovato and Ibadah Mimpi

Log In

Forgot password?

Forgot password?

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

Your password reset link appears to be invalid or expired.

Log in

Privacy Policy

Add to Collection

No Collections

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