glasses all of the images in this slide were generated by the network none of them our training data they all come from decoding different embeddings so this shows that we're able to do algebra and latent space and have that algebra correspond to semantic properties just like with language models but what's even more exciting than language models is that we're actually able to decode this latent variable to a rich high dimensional image where all the different thousands of pixels are actually arranged correctly in relation