Explaining the text-to-image revolution – Vox

Starting in January 2021, advances in AI research have led to the creation of many deep learning models capable of generating original images from simple text cues, effectively expanding the human imagination. Researchers in Open AIGoogle, Facebook, and others have developed text-to-image tools that they have yet to release to the general public, and models like these are ubiquitous on the Internet. open source arena and in smaller companies such as middle of the road.

These tools represent a massive cultural shift because they remove the need for technical labor from the imaging process. Instead, they opt for creative thinking, skillful use of language, and curatorial taste. The ultimate consequences are difficult to predict, but – like the invention of the camera and later the digital camera – these algorithms herald a new, democratized form of expression that will usher in another explosion in human imagery. But like other automated systems trained on historical data and internet images, they also come with risks that have not been addressed.

The video above is an example of how we got here, how this technology works, and some of the implications. And for an extended discussion of what this means for human artists, designers, and illustrators, check out this bonus video:

You can find this video and all Vox video on our YouTube channel.

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