A growing concern is being felt in classrooms and faculty rooms. If students can access lectures from the best universities, solve problems using artificial intelligence, and get explanations within seconds, what is left for the teacher to do? Has the role of the teacher reached its limit? The concern is understandable, but it rests on a weak assumption. Information has become abundant. Understanding has not, and thinking, certainly not. For a long time, teachers were the mai

The danger is not technology itself, but the quiet, unquestioned surrender to its conveniences. A few months ago, ChatGPT unveiled a new health feature that allows users to upload medical test reports for analysis, carefully stopping just short of formal clinical advice. On paper, it was a modest extension of an already ubiquitous tool. In practice, it signalled something larger: the quiet expansion of machines into domains once considered deeply human. Around the same time,

Two recent developments in scientific publishing should worry us. In one case, AI-generated inputs were found in peer review, leading to the rejection of papers. In another, an AI-written paper successfully passed peer review. Together, these highlight a deeper shift in how science is now created and assessed. For the first time, AI is not just aiding science on the fringes. It is now involved in the entire scientific process, from writing to evaluation. There is a fundamenta