I think the idea is interesting but I'm not convinced it really "synthesizes ideas" so much as treats the neural network like a database of images that it mixes.<p>Now, I could be wrong, but because of the way the results are presented it doesn't tell me that it's any good at picking up the meaning of the phrase. The results show a single phrase and a set of images it generates. White flower with yellow center, and a bunch of images of white flowers.<p>But if it can synthesize the idea properly, one should be able to generate a flower of a variety of descriptions. Yellow flower with blue center. Red flower with yellow center. Blue flower with black edges and black center. etc..<p>From the way they describe the functionality it should be able to do these things so in a way I don't doubt it, but I want to see how it performs on phrases that induce combinations of ideas that are well outside of the training set yet refer to individual ideas within the training set.