Not Just Bigger Models: Why AI Should See Better Instead of Just Scaling
In recent years, AI progress has been largely defined by size: bigger models, bigger datasets, bigger compute budgets. GPT-4, Claude, Gemini – each new model pushes the limits further. But is bigger always better? A group of researchers (Baek, Park, Ko, Oh, Gong, Kim) argue in their recent paper "AI Should Sense Better, Not Just Scale Bigger" (arXiv:2507.07820) that we’ve hit diminishing returns. Instead of growing endlessly, they propose a new focus: adaptive sensing. ...