Artificial Intelligence is reshaping how we explore, create, and teach. Tasks once considered inherently human are now increasingly delegated to systems that appear to reason, learn, and even invent. This development challenges long-standing notions of expertise, authorship, and the role of human judgment in science and education.

Through this development, AI already influences how research is conducted, published, and taught - often with remarkable efficiency, yet also with opaque mechanisms and uncertain reliability. The enthusiasm surrounding these tools must be balanced by a critical assessment of their capabilities and limitations. What AI systems produce can be impressive, but their results often lack genuine understanding or intent. The central question is how to preserve creativity, responsibility, and depth of insight in a world where machines can assist with almost everything - except understanding what they do.