They have put the 21 most popular AI chatbots to perform differential diagnosis. They fail more than a fair shotgun

‘House‘It’s a series that I love. I don’t care about the intrastories in the slightest, but the process of differential diagnosis – despite all the movie stuff – drives me crazy. This ability to rule out diseases that could explain the same symptoms to arrive at the most probable diagnosis seems like witchcraft to me. Well: they have put the 21 Most Popular AI Chatbots to make that differential diagnosis and the result is clear. It fails more than a fairground shotgun. In short. He Mass General Brigham It is not an ‘anyone’. It is a non-profit network of American doctors and hospitals, including two of the most prestigious medical teaching institutions in the country. From January to December 2025, a group of researchers from the institution they put 21 AI chatbots such as Claude 4.5 Opus, DeepSeek, Gemini 3.0 Pro, GPT-5 or Grok 4 to evaluate dozens of clinical cases with the aim of establishing their level of success in an early diagnosis. The information is extremely basic, but it is also what professionals have when making this differential diagnosis and the ultimate intention is to evaluate the clinical reasoning capacity of the latest generation language models to see if they can be a clinical ally. The answer is no. While models optimized for reasoning achieved much higher scores than simpler ones like Gemini 1.5 Flash, the bottom line is that LLMs are still limited for this task. The exam. Each of the models was given 29 clinical cases that represent more than 16,200 responses in total. The result is that these newer versions of the most powerful chatbots they couldn’t produce an adequate differential diagnosis in about 80% of cases when they only had basic information about the patient. The problem is that age, sex and symptoms is very vague information, yes, but it is one that human professionals who have to make this differential diagnosis ‘play’ with for the first time. Little by little, as they do other tests and obtain more information, they refine the result, but it is that first ‘discard’ treatment that often makes the difference. “We want to help separate the hype from the reality of these tools as they are applied to healthcare” another movie. And, precisely, as the LLM They were given more data, the performance and results were more robust. When the chatbot has more and more information such as physical analysis data, laboratory results and diagnostic images, things change and AI reaches the final diagnosis in more than 90% of cases. But of course, to reach that stage they must have almost all the clinical data, which further shows the gap with impotence when performing an initial filtering. Don’t trust Google ChatGPT. The researchers are clear that “these models are very good at identifying a final diagnosis when the data is complete, but they have difficulties at the beginning of an open case,” which leads them to emphasize that they should not be trusted at home. The AI ​​industry is pushing your product in the medical circuit, but the study points out that “despite continuous improvements, commercial LLMs are not ready for clinical implementation without supervision.” They state that a human is needed in the operation and “very close supervision” to be able to scale the use of an LLM in the healthcare field. And there they are always talking about professional use, but more and more cases are seen of people who previously treated themselves by trusting Google and who Now they do it trusting what ChatGPT tells them. In the study they emphasize that “hallucinations remain” in these latest generation models, also showing concerns about the safety and integrity of patients. About El Salvador. In any case, it is evident that, in the end, Medical AI is another helper, a tooland here what has been tested is a “common” chatbot that knows everything, but is not specialized in anything. In medicine, as in other industries, the use of AI can help with tasks such as eliminating possibilities or organizing thousands of data, but a chatbot is not yet a good companion in this differential diagnosis because it simply cannot be trusted. Those who are going to have to trust AI for any type of treatment are Salvadorans. El Salvador has been a pioneer country when it comes to adopting new technologies, and the president, Nayib Bukele, has just embarked on another experiment: $500 million to leave healthcare in the hands of Gemini. The population will have access to the app Dr.SV who will work as a family doctor. As detailed in The Countrythis AI will know the symptoms and will assign calls with doctors who will make the diagnosis. The AI ​​will monitor for consultations and chronic diseases and the goal is for it to take care of cancer patients in the future. According to Bukele, they are creating the best health system in the world, something curious considering that they laid off more than 7,700 health system employees during 2025. For the sake of Salvadorans, let’s hope that This new experiment does not end like Bitcoin City. In Xataka | Privacy is dying since ChatGPT arrived. Now our obsession is for AI to know us as best as possible

Psychology knows that we are turning bad education into diagnosis

A decade ago, if someone behaved selfishly in a relationship, we would clearly say that they were “selfish.” Today, you will most likely hear that that person has an “avoidance bond” or that his or her behavior is a “response to past trauma“. That is why today psychology has come to explain absolutely everything, but there is a problem: we are pathologizing everyday life. A new idea. The psychologist Ángela Fernández recently threw a dart at the center of the debate: “not everything is trauma or anxious attachment; sometimes it is simply a lack of education.” And this phrase is not just an unpopular opinion; is the summary of a growing concern in the scientific literature about how the “trauma culture” is blurring the boundary between pathology and character. “Overpathologization.” The concept is not new, but it has never been so relevant. scientific literature I already warned about the tendency that exists to look for an illness in every action we do inappropriately in daily life. In this way, modern psychology runs the risk of turning normal activities or reactions, such as sadness after a breakup or work stress, into a medical problem. This increase in diagnoses It has a pretty dangerous side effect.: trivializes serious disorders. When we call any emotional wound or inconvenience “trauma,” we are eroding the perception of human resilience, and in the process, downplaying those who truly suffer from PTSD. If everything is trauma, nothing is. In the Anglo-Saxon clinical field, the term “Trauma Culture” has been coined. Publications in Psychology Today warn that this fashion of seeking an explanation clinic for every emotional reaction can be counterproductive. Far from helping, it pushes people towards therapeutic interventions that they don’t fit your real problempreventing grieving or learning processes that are simply part of growing up. This is something that is added to by different psychotherapists who emphasize that considering each conflict that exists in a couple as a “response to trauma” mixes everyday stress with pathological conditions that are truly very complex. All this does is create a generation of people who consider themselves “broken” by default, instead of understanding that frustration and conflict are inherent to human interaction. It is selfishness. One of the most controversial points of Fernández’s criticism is the mention of “lack of education” or maturity, and the bibliography seems to agree with him. Published works in ScienceDirect about the “egoism-altruism spectrum” suggest that certain harmful behaviors are not explained by a “deregulated” nervous system, but by personality traits such as lack of empathy or manipulation. Something that is innate to a person, and that can hardly be treated. In this way, we have subclinical psychopathic traits: people who do not have a mental illness, but who show excessive interest in their own well-being. In these cases, the clinical diagnosis acts as a “cloak of invisibility” that exempts the person who causes some type of harm from personal responsibility. An excuse. That is why if I have had bad behavior, I can create an “invisibility cloak” effect that exempts me from personal responsibility. This way, I can blame this behavior on the parents or my own personal past, as if it were an “attachment trauma.” But the reality is that, often, these are unempathetic patterns that should be treated from ethics and education, not from the psychiatry manual. The danger of labels in infancy. Different scientific reports point because we are labeling normal variations in children’s behavior as mental disorders. This means that what was once a restless child or one who had difficulty following rules, today runs the risk of being quickly diagnosed and medicated. By turning behavioral problems into psychopathologies, we are missing the opportunity to teach discipline, limits, and frustration tolerance. As experts point out Birchwood Clinic, extensive use of these labels increases anxiety and medicalizationcreating a dependency on the health system for problems that, historically, were resolved in the social and family environment. The verdict of science. Social media has created a market of “pocket diagnostics” where selfishness is disguised as “self-care” and rudeness as “emotional limit.” However, clinical psychology insists: for something to be a disorder, there must be significant functional impairment. That is why being inconsiderate towards others does not make a person a psychiatric patient, but sometimes you simply have to grow up. Images | Vitaly Gariev In Xataka | Those born between 1950 and 1970 have a psychological advantage over other generations: they are entering their “peak”

Bill Gates has radiographed Intel. And his diagnosis is overwhelmingly accurate

Intel’s health is worrying. We have talked about the problems he faces This company with some depth during the last six months, but to delimit its context it is important that we remember that on August 1 he announced A very aggressive cost reduction plan which seeks to increase the efficiency of your business model and competitiveness. Its purpose is to reduce your expenses in More than 10,000 million dollars during 2025. To achieve this in essence, two fronts are attacking: 15% of its workforce has been undone, and, in addition, it has significantly reduced its investment in research and development, marketing and general administration. Presumably most of these cuts was executed before 2024 ended, so, on paper, for 2025 Intel’s maximum austerity strategy It will consolidate definitively. Bill Gates analyzes why Intel is in such a committed situation For users it is very bad news that Intel is going through such a delicate moment. It would also be to the same extent as AMD, NVIDIA or Apple, among other companies, cross a similar crisis. It is evident that what interests us consumers is that these companies compete with each other, and so that they can do so, they are necessary to be in the best state possible. Bill Gates also believes it. Your statements a The Associated Press They have no waste. “I am stunned because Intel has lost his way. Gordon Moore always kept it at the forefront, and now they are lagging behind in terms of chip design, and also to the manufacture of integrated circuits. And both aspects require a great capital investment. artificial intelligence (AI), and Your manufacturing capabilities They do not even use the standards that companies such as NVIDIA or Qualcomm consider simple. I think Pat Gelsinger was very brave when he said: ‘I will not fix the chips design; I will fix the manufacture ‘. I expected, for its good and for the good of the country, that it was successful “, Bill Gates has confessed. “The chips revolution for AI and their manufacturing capabilities have not even used the standards that NVIDIA or Qualcomm consider simple,” PAT GELSINGER Abandon Intel on December 1. Although it is already completely disconnected from the company that has led for almost four years, the possibility of separating the chips manufacturing subsidiary from the rest of the company remains above the table. However, like We explain to you At the end of November, if you finally decide to do so, you will not have complete freedom. And he will not have it because he has contracted obligations with the US government as a result of the reception of the 7,860 million dollars given by the Department of Commerce as a subsidy, and also of the 3.5 billion dollars which will receive from the Department of Defense to make chips for military applications. Intel’s commitment to the US administration directly involves the splitting of its semiconductor manufacturing division in the form of an independent subsidiary. The US government has asked Intel that Keep the property of at least 50.1% Intel Foundry if this business unit finally got to separate and acquire the form of a new private legal entity. And, despite everything that has happened in the company in recent months, as I mentioned a few lines above, this possibility is still on the table. Intel it is crucial to increase its competitiveness, and the splitting of chips factories could help you get it. Dave Zinsner, the company’s financial director, has declared That a possible formal separation of the manufacturing and development of products is a matter that is completely open and that will have to decide the next leader of Intel. He will decide if he goes ahead with Gelsinger’s plan, or if, on the contrary, he turns around. Right now it is difficult to anticipate what will happen, but whatever happens, as Bill Gates argues, it is desirable to be in good shape. Image | Pexels (Cottonbro Studio) | World Economic Forum More information | The Associated Press In Xataka | The next revolution of the chips is approaching. Intel, Samsung, TSMC and AMD already work on glass substrates

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