The thumb became a prompt, but the responsibility is still human. Michel Serres used Thumbelina as a metaphor for a new kind of human being shaped by the digital revolution: someone who communicated with her thumbs, moved naturally through screens, learned outside traditional institutions, and…
There is a phrase from El Eternauta that has been stuck in my head lately: “Lo viejo funciona.“ The old stuff works. Maybe it is because the past week has been miserable: cold, foggy, and rainy. The kind of weather that makes you want to…
What the panic around AI detection gets wrong about authorship, education, and human judgment I have a problem with AI detectors. Not because I think people should use AI irresponsibly. Not because I think authorship does not matter. Not because I believe students, writers, researchers,…
What the panic around AI gets wrong about talent, creative work, and the future of human judgment I started thinking about this after watching another conversation about AI and the future of Learning and Development. At first, it sounded like a very specific industry discussion.…
What migrating corporate learning from an LMS to SharePoint taught me about context, curation, and learning in the flow of work For a long time, corporate learning has followed a familiar script. A new topic appears. Someone decides that people need to learn it. A…
Many times we are obsessed with the fast track. We want the answer now. The summary now. The draft now. The idea now. Cloud AI models are designed to satisfy that anxiety. They are engineering marvels capable of producing neat paragraphs, structured plans, and complete…
In learning experience design, we often pursue efficiency. If a tool speeds up a process, reduces friction, or removes an obstacle, our first reaction is usually positive. And that makes sense. In L&D, we often work with limited time, limited resources, multiple audiences, and constant…
In the previous article, I argued that the real shift in artificial intelligence is not about capability, but about intentionality. The problem is no longer whether AI can produce outputs. It clearly can. The problem is that most of those outputs are produced without a…