How Vision-Language Models Miss What Isn’t There
In the gleaming laboratories of AI research, machines are learning to see the world as we do—almost. Deep within the tangled neural networks of today’s most sophisticated vision-language models lies a peculiar deficiency: they struggle profoundly with the concept of absence. While a radiologist can confidently report “no tumour present,” these AI systems falter at…