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Seven years ago, back in 2015, one major development in AI research was automated image captioning. Machine learning algorithms could already label objects in images, and now they learned to put those labels into natural language descriptions. And it made one group of researchers curious. What if you flipped that process around? We could do image to text. Why not try doing text to images and see how it works? It was a more difficult task.They didnt want to retrieve existing images the way google search does. They wanted to generate entirely novel scenes that didnt happen in the real world. So they asked their computer model for something it would have never seen before. Like all the school buses youve seen are yellow. But if you write the red or green school bus would it actually try to generate something green? And it did that. It was a 32 by 32 tiny image. And then all you could see is like a blob of something on top of something. They tried some other prompts lik
