Suno, Udio, and the Importance of Fairly Trained AI
In recent weeks, we’ve seen a surge in AI music generators, with apps like Suno and Udio making waves in the music industry. These apps allow users to create music simply by typing in a prompt with desired genres or styles, generating everything from instrumental music to complete songs with lyrics. The quality of the output has been incredibly high, leaving many wondering how this is even possible.
Suno, which has been available for a few weeks now, has impressed users with its ability to generate high-quality music. However, the newly launched Udio (udio.com) seems to have taken things to the next level, particularly when it comes to more complex genres like classical music.
While these advancements in AI music generation are indeed impressive, it’s crucial to consider the source of the data used to train these models. The music generated by these AI systems is learned from existing works created by artists and composers. This raises important questions about the legitimacy of the data being used and whether the creators have been properly compensated or if the works are in the public domain.
To address these concerns, initiatives like Fairly Trained have emerged. This nonprofit organization is dedicated to checking AI companies to ensure that the data they work with is legitimate, fully licensed, or that the creators have been paid fairly. It’s essential for us, as consumers and creators, to consider holding these companies accountable and encourage transparency in their practices.
As a music creator, it’s natural to feel some apprehension about the rise of AI music generators. However, it’s important to remember that these tools are likely to coexist with human-created music rather than replace it entirely. While the technology is impressive, there will always be a place for the unique creativity and emotional depth that human artists bring to their work.
To stay informed about the developments in AI music generation and the ethics surrounding it, follow Fairly Trained on X (formerly Twitter), and other social media platforms. As we navigate this new landscape, it’s crucial to remain vigilant, support fair practices, and continue to create and appreciate music in all its forms.
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fairlytrained.org- Mike Patti