By making text-to-image models accessible to everyone, Stability AI added fuel to what was already a hell of creativity and innovation. Millions of people have created tens of millions of images in just a few months. But there are also problems. Artists found themselves at the center of one of the biggest upheavals of the last ten years. And like language models, text-to-image generators can reinforce biased and toxic associations hidden in training data taken from the Internet.
This technology is now being built into commercial software such as Photoshop. Visual effects artists and video game studios are exploring how it can speed up development pipelines. And text-to-image technology has already moved on to text-to-video. The AI-generated videos that Google, Meta and others have been showing off over the past few months are only a few seconds long, but that’s about to change. One day it would be possible to make movies by simply loading a script into a computer.
Nothing else in AI has captured more people’s attention in the past year – for good and bad reasons. Now we wait to see what lasting impact these tools will have on the creative industries—and the entire field of artificial intelligence.
No one knows where the rise of generative AI will take us. More details here.
-Your-Inbox-Gear-GettyImages-1350807277.jpg "How AI is protecting (and attacking) your inbox")
