These systems are lining up common phrases that appear in corpora of image captions, with visual patterns that they can be trained to recognize such as color, t

These systems are lining up common phrases that appear in corpora of image captions, with visual patterns that they can be trained to recognize such as color, textures, and shapes. Nothing is "waking up". Your astonishment at what these systems can do tells me that you may have looked at cherry-picked positive results. So here's an article I found that cherry-picks negative results instead: [1] [1] https://gizmodo.com/this-neural-networks-hilariously-bad-image-descriptions-1730844528 https://gizmodo.com/this-neural-networks-hilariously-bad-ima... Now of course this article is exaggerated too. Ideally, if a system is 95% accurate, you'd be looking at representative output from the system, with 95% good results and 5% bad ones, perhaps by running such a system yourself on a different set of images.