When Small Models See More: Shift Toward Purpose Built Intelligence
There is a revolution unfolding in artificial intelligence - and it is quiet not because it lacks consequence, but because it lacks spectacle. For years, the prevailing narrative was dominated by ever-larger, general-purpose models that promised to comprehend everything: legal briefs, biochemical structures, ancient poetry, and protein folding alike. These models arrived with fanfare, record-breaking benchmark scores, and the implicit promise that scale alone was the answer to every problem. But in the real world - in boardrooms, factory floors, rural clinics, and trading desks where decisions carry genuine weight - a different truth has been quietly, persistently asserting itself. The future does not belong to the biggest model. It belongs to the right model. I first encountered this idea not in a conference room, but in passing conversation on my way back to Delhi. A senior radiologist described a compact, domain-trained model - built specifically for the interpretation of chest X...