Arts

Tired of rap battles composed by ChatGPT? Get ready for the next wave of AI-generated fun and profit. Cloned voices are taking center stage in productions by upstart creators and monied corporations alike.

AI hobbyists created an homage to their favorite TV show . . . until it got knocked off the server. The creators of Nothing, Forever launched a fully automated, never-ending emulation of the popular TV show Seinfeld.

Models that generate text and images are raising thorny questions about the ownership of both their training data and their output. The companies that provide popular tools for generating text and images are fighting a barrage of lawsuits. TechCrunch surveyed the docket.

A top supplier of stock images will compensate artists who contribute training data to its image-generation service.

Pictures produced by AI went viral, stirred controversies, and drove investments. A new generation of text-to-image generators inspired a flood of experimentation, transforming text descriptions into mesmerizing artworks and photorealistic fantasies.

A blockbuster app produces sexualized avatar images, even when the original portraits were safe for work.

Artists are rebelling against AI-driven imitation. DeviantArt, an online community where artists display and sell their work and marketplace for digital art, launched DreamUp, a text-to-image generator that aims to help artists thwart attempts to imitate their styles or works.

Text-to-image generators like DALL·E 2, Midjourney, and Stable Diffusion are winning art contests and worrying artists. A new approach brings the magic of text-to-image generation to video.

An online marketplace enables people to buy text prompts designed to produce consistent output from the new generation of text-to-image generators.

The transformer architecture extended its reach to a variety of new domains.What happened: Originally developed for natural language processing, transformers are becoming the Swiss Army Knife of deep learning.

Musicians and filmmakers adopted AI as a standard part of the audio-production toolbox. What happened: Professional media makers embraced neural networks that generate new sounds and modify old ones. Voice actors bristled.

In 2021, transformers were harnessed to discover drugs, recognize speech, and paint pictures — and much more.

While models like GPT-3 and EfficientNet, which work on text and images respectively, are responsible for some of deep learning’s highest-profile successes, approaches that find relationships between text and images made impressive

Microsoft is making GPT-3 available to selected customers through its Azure cloud service.

Accusations of fraud hang over some of the world’s most highly valued artworks. Machine learning engineers are evaluating the authenticity of these famous pieces.