Distilled Intelligence or Compressed Catastrophe? The High-Stakes Risks of Shrinking AI

Their is a great deal of hype about distilled AI, an emerging technique that trims down massive machine learning models into leaner, cheaper versions. While these distilled “student” models may look—and sometimes perform—much like their full-fledged AI counterparts, a closer inspection reveals a labyrinth of potential flaws: from amplified bias and reduced accuracy to hidden legal liabilities.