Songs used by ChatGPT included Herbert Grönemeyer's 1984 synth-pop sendup of masculinity, ' (Men). Songs used by ChatGPT included Herbert Grönemeyer's 1984 synth-pop sendup of masculinity, ' (Men). OpenAI ordered to pay undisclosed damages for training its language models on artists' work without permission The Munich regional court sided in favour of Germany's music rights society GEMA, which said ChatGPT had harvested protected lyrics by popular artists to "learn" from them. The collecting society GEMA, which manages the rights of composers, lyricists and music publishers and has approximately 100,000 members, filed the case against OpenAI in November 2024. The lawsuit was seen as a key European test case in a campaign to stop AI scraping of creative output.

The latest development tips the scales in favor of use: A judge has rejected Universal Music Group, ABKCO and other music publishers' preliminary bid to block Anthropic from using their lyrics to train its AI assistant Claude, Reuters reports. US District Judge Eumi Lee ruled that UMG and co had submitted too broad a request and failed to demonstrate that Anthropic's use of the lyrics caused the companies "irreparable harm." Lee stated, "Publishers are essentially asking the Court to define the contours of a licensing market for AI training where the threshold question of fair use remains unsettled." The two sides came to a partial agreement in January of this year.

Anthropic has partly resolved a legal disagreement that saw the AI startup draw the ire of the music industry. The group alleged that the company had trained its Claude AI model on at least 500 songs to which they held rights and that, when promoted, Claude could reproduce the lyrics of those tracks either partially or in full. Among the song lyrics the publishers said Anthropic had infringed on included Beyoncé's "Halo" and "Moves Like Jagger" by Maroon 5. In cases where the company intends not to address an issue, it must clearly state its intent to do so. "Our decision to enter into this stipulation is consistent with those priorities.

A fellow writer recently told me that when he began his career, he was always hunting for a scoop, a story no one else had. Now, with a couple decades experience, he does the opposite. "I look for a story that's already been done 10 times," he said, "with the aim of making the 11th the one everyone would rather read." Lurking behind that notion is an important fact about popular art: It relies on the familiar. Successful pop artists aren't necessarily the most daring or sophisticated, but the best have the skill to take what they've heard and make it fresh.