Scroll, Snack, Repeat We live in a time of information abundance. It has become as plentiful—and as carefully engineered to exploit our every weakness—as modern processed food. The more content is optimized to manipulate our attention, the more our cognitive patterns are hijacked. Digital platforms are not only distracting; they reshape what we pay attention to and how we think. …

AI communication channels may represent the next major technological leap, driving more efficient interaction between agents—artificial or not. While recent projects like Gibberlink demonstrate AI optimizing exchanges beyond the constraints of human language, fears of hidden AI languages must be correctly debunked. The real challenge is balancing efficiency with transparency, ensuring AI serves as a bridge—not a barrier—in both machine and human-AI communication.

As AI continues to evolve, conversations have started questioning the future of traditional programming and computer science education. The rise of prompt engineering—the art of crafting inputs to lead AI models to generating specific outputs—has led many to believe that mastering this new skill could replace the need for deep computational expertise. While this perspective does capture a real ongoing shift in how humans interact with technology, it overlooks the essential role of human intelligence in guiding and collaborating with AI.