The Grounding Problem: How 19-Year-Old Eshaan Gulati Taught AI Where to Click
New research into computer-use capabilities has tackled a persistent technical bottleneck that prevented advanced models from translating visual recognition into precise, executable actions. While modern AI systems have achieved remarkable accuracy in identifying objects and patterns within images, bridging the gap between seeing and doing has remained a significant engineering challenge. The latest work focuses ...