{"id":1515,"date":"2024-06-25T22:23:47","date_gmt":"2024-06-25T22:23:47","guid":{"rendered":"https:\/\/usatrustedlawyers.com\/blog\/suno-and-udio-respond-to-major-labels\/"},"modified":"2024-06-25T22:23:47","modified_gmt":"2024-06-25T22:23:47","slug":"suno-and-udio-respond-to-major-labels","status":"publish","type":"post","link":"https:\/\/usatrustedlawyers.com\/blog\/suno-and-udio-respond-to-major-labels\/","title":{"rendered":"Suno and Udio Respond to Major Labels"},"content":{"rendered":"\n
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\n\tOn Monday (June 24), the three major music companies filed lawsuits against artificial intelligence (AI) music startups Suno and Udio, alleging the widespread infringement of copyrighted sound recordings \u201cat an almost unimaginable scale.\u201d Spearheaded by the RIAA, the two similar lawsuits arrived four days after\u00a0Billboard<\/em>\u00a0first reported\u00a0that the labels were seriously considering legal action against the two startups.<\/p>\n

\n\tFiled by plaintiffs Sony Music, Warner Music Group and Universal Music Group, the lawsuits allege that Suno and Udio have unlawfully copied the labels\u2019 sound recordings to train their AI models to generate music that could \u201csaturate the market with machine-generated content that will directly compete with, cheapen and ultimately drown out the genuine sound recordings on which [the services were] built.\u201d<\/p>\n

\n\tHours later, Suno CEO Mikey Shulman<\/strong> responded to the lawsuit with a statement sent to Billboard<\/em>. \u201cSuno\u2019s mission is to make it possible for everyone to make music,\u201d he said. \u201cOur technology is transformative; it is designed to generate completely new outputs, not to memorize and regurgitate pre-existing content. That is why we don\u2019t allow user prompts that reference specific artists. We would have been happy to explain this to the corporate record labels that filed this lawsuit (and in fact, we tried to do so), but instead of entertaining a good faith discussion, they\u2019ve reverted to their old lawyer-led playbook. Suno is built for new music, new uses, and new musicians. We prize originality.\u201d<\/p>\n

\n\tAn RIAA spokesperson fired back at Shulman\u2019s comment, saying: \u201cSuno\u00a0continues to dodge\u00a0the basic question: what sound recordings have they illegally copied? In an\u00a0apparent\u00a0attempt to deceive working artists, rightsholders, and the media about its technology, Suno refuses to address the fact that its service has literally been caught on tape\u00a0\u2014 as part of the evidence in this case \u2014 doing what Mr. Shulman says\u00a0his\u00a0company doesn\u2019t do: memorizing and regurgitating the art made by humans. Winners of the streaming era worked cooperatively with artists and rightsholders to properly license music. The losers did exactly what Suno and Udio are doing now.\u201d<\/p>\n

\n\tUdio responded on Tuesday (June 25) with a lengthy statement posted to the company\u2019s website<\/a>. You can read it in full below.<\/p>\n

\n\tIn the past two years, AI has become a powerful tool for creative expression across many media \u2013 from text to images to film, and now music. At Udio, our mission is to empower artists of all kinds to create extraordinary music. In our young life as a company, we have sat in the studios of some of the world\u2019s greatest musicians, workshopped lyrics with up-and-coming songwriters, and watched as millions of users created extraordinary new music, ranging from the funny to the profound.<\/em><\/p>\n

\n\tWe have heard from a talented musician who, after losing the ability to use his hands, is now making music again. Producers have sampled AI-generated tracks to create hit songs, like \u2018BBL Drizzy\u2019, and everyday music-lovers have used the technology to express the gamut of human emotions from love to sorrow to joy. Groundbreaking technologies entail change and uncertainty. Let us offer some insight into how our technology works.<\/em><\/p>\n

\n\tGenerative AI models, including our music model, learn from examples. Just as students listen to music and study scores, our model has \u201clistened\u201d to and learned from a large collection of recorded music.<\/em><\/p>\n

\n\tThe goal of model training is to develop an understanding of musical ideas \u2014 the basic building blocks of musical expression that are owned by no one. Our system is explicitly designed to create music reflecting new musical ideas. We are completely uninterested in reproducing content in our training set, and in fact, have implemented and continue to refine state-of-the-art filters to ensure our model does not reproduce copyrighted works or artists\u2019 voices.<\/em><\/p>\n

\n\tWe stand behind our technology and believe that generative AI will become a mainstay of modern society.<\/em><\/p>\n

\n\tVirtually every new technological development in music has initially been greeted with apprehension, but has ultimately proven to be a boon for artists, record companies, music publishers, technologists, and the public at large. Synthesizers, drum machines, digital recording technology, and the sound recording itself are all examples of once-controversial music creation tools that were feared in their early days. Yet each of these innovations ultimately expanded music as an art and as a business, leading to entirely new genres of music and billions of dollars in the pockets of artists, songwriters and the record labels and music publishers who profit from their creations.<\/em><\/p>\n

\n\tWe know that many musicians \u2014 especially the next generation \u2014 are eager to use AI in their creative workflows. In the near future, artists will compose music alongside their fans, amateur musicians will create entirely new musical genres, and talented creators \u2014 regardless of means \u2014 will be able to scale the heights of the music industry.<\/em><\/p>\n

\n\tThe future of music will see more creative expression than ever before. Let us use this watershed moment in technology to expand the circle of creators, empower artists, and celebrate human creativity.<\/em><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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