The latest breaking updates, delivered straight to your email inbox. If you've ever wanted to use artificial intelligence to quickly design a hybrid between a duck and a corgi, now is your time to shine. On Wednesday, OpenAI announced that anyone can now use the most recent version of its AI-powered DALL-E tool to generate a seemingly limitless range of images just by typing in a few words, months after the startup began gradually rolling it out to users. The move will likely expand the reach of a new crop of AI-powered tools that have already attracted a wide audience and challenged our fundamental ideas of art and creativity. But it could also add to concerns about how such systems could be misused when widely available.

If you've ever wanted to use artificial intelligence to quickly design a hybrid between a duck and a corgi, now is your time to shine. On Wednesday, OpenAI announced that anyone can now use the most recent version of its AI-powered DALL-E tool to generate a seemingly limitless range of images just by typing in a few words, months after the startup began gradually rolling it out to users. The move will likely expand the reach of a new crop of AI-powered tools that have already attracted a wide audience and challenged our fundamental ideas of art and creativity. But it could also add to concerns about how such systems could be misused when widely available. "Learning from real-world use has allowed us to improve our safety systems, making wider availability possible today," OpenAI said in a blog post.

Whether you're at the pool, beach, lakefront, camping, or in your backyard, you'll need a reliable cooler to keep your water and other essential beverages nice and cold. However, not just any cooler will do.

Not only did a classifier pre-trained on Task2Sim's fake images perform as well as a model trained on real ImageNet photos, it also outperformed a rival trained on images generated with random simulation parameters. Task2Sim even transferred its know-how to entirely new tasks, creating images to teach a classifier how to identify cactuses and hand-drawn numbers. "The more tasks you use during training, the more generalizable the model will be," Feris said. A related tool, SimVQA,2 also appearing at CVPR, generates synthetic text and images for training robot agents to reason about the visual world. In a typical visual-reasoning task, an agent might be asked to count the number of chairs at a table or identify the color of a bouquet of flowers.

First algorithms figured out how to decipher images. That's why you can unlock an iPhone with your face. More recently, machine learning has become capable of generating and altering images and video. In 2018, researchers and artists took AI-made and enhanced visuals to another level. Scroll through these examples to see how software that can make images, video, and art could power new forms of entertainment--as well as disinformation.