Більшість рейтингів університетів переймаються Гарвардами та Оксфордами, але майже нічого не говорять про стан університетської системи загалом. Нова стаття пропонує оцінювати не окремі університети, а цілі національні системи. Знайдіть Україну? 😉 doi.org/10.1016/j.joi.2026.1…

I’ve officially resigned as Associate Editor for Frontiers in Systems Neuroscience (part of @FrontNeurosci). It used to be a reputable journal, but became a case study in how forced automation destroys academic integrity. 👇

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

Las bibliotecas públicas como agentes de prevención de la soledad no deseada: análisis y propuesta de intervención por @MarcdeBlas en #revistainfonomy ⏩doi.org/10.3145/infonomy.26.… #Bibliotecaspúblicas #Soledadnodeseada #Saludcomunitaria

Who is the greatest scientist of all time (in terms of Google Scholar citations)? Is it Einstein? Or Bengio or Hinton? No. It is a humble servant of knowledge, Mr. Rachmad of Indonesia, who has had a rather productive publishing period after the launch of ChatGPT

Buenos días :) Traigo una crónica que quizá os pueda resultar útil: "S.O.S. Me han hackeado el perfil de Google Scholar. Qué hacer y cómo afrontarlo" thinkepi.scimagoepi.com/inde…

У новому номері #Scientometrics вийшла хороша стаття про відповідальне використання бібліометрії в оцінюванні досліджень doi.org/10.1007/s11192-026-0…, тому написав допис чому нам доводиться знову і знову пояснювати очевидне про наукометрію, особливо в Україні! panbibliotekar.blogspot.com/…

In a study of open access models, gold OA publications “show the highest overall retraction rate with 12.63 retractions per 10,000 items.” link.springer.com/article/10…

La Fundación Gates @gatesfoundation dejó de financiar la publicación de resultados de la investigación que financian mediante el pago a revistas (APC). Frente a esto, desarrollan programas de sustento de la edición siguiendo el modelo Diamante katinamagazine.org/content/a…

Un triunvirato para "refundar" el @CNIO: Óscar Llorca, Luis Paz-Ares y Fátima Al-Shahrour llevarán el mando del organismo al menos hasta enero de 2027 elpais.com/ciencia/2026-06-0…

Cómo algunos criminales se aprovechan de la falta de profesionalidad y una ética light en universidades "prestigiosas" blogs.lse.ac.uk/impactofsoci…

Ostras Pedrín!

Jornada PrimeTime 26 de junio. Escuela Técnica Superior de Informática de la Universitat Politècnica de València. Registro primetime.webs.upv.es/jornad…

Os dejo la presentación que hicimos el pasado viernes en el XXI Workshop de Proyectos Digitales @rebiun celebrado en la @BibliotecaUCLM sobre el crecimiento de los depósitos de datos de investigación a raíz de la reforma de la evaluación académica y #CoARA

"#HSS Communications" (#Nature group) have just published my paper on the unequal inflow of women to science in past 30 yrs in 32 European countries The demolishion of the monolith of STEM science! Different bits of STEM moving 8n different directions! nature.com/articles/s41599-0…