You’re paying a fortune to have a heavy-duty freight truck deliver a single letter. That is the perfect analogy for what is happening in the world of artificial intelligence. While the media and Big Tech wage a war to see who can launch the model with the highest number of parameters—as if size were synonymous with intelligence—a quiet revolution is taking place behind the scenes. Smart companies are ditching AI "monsters" and migrating en masse to Small Language Models (SLMs) . And the reason is brutally simple: giants are expensive, slow, and—most of the time—unnecessary. Lean models are winning the efficiency race, and those who don't realize this now will keep burning money on superpowers they never actually use. 🧐 Why did we fall for the "bigger is better" trap? The industry sold us the idea that a model with hundreds of billions of parameters is always superior. After all, it knows more; it has memorized more books, more code, and more data. But here’s...