Subject: Feature Suggestion Advanced AI Music Generator
Hi OpenAI Team,
I’d like to suggest the development of an AI-powered music generator that allows creators to produce high-quality, multi-vocal music tracks with precise control over style, tone, and arrangement. Some key features that would make this tool exceptional:
1. Multiple Vocalists / Quintets: Ability to have multiple voices (duets, trios, quartets, quintets, etc.) trade lines, harmonize, or share verses naturally.
2. Customizable Energy & Style: Control over genre, mood, and energy for example, “heroic rock vibe” or “cold drill rap tone.”
3. Dynamic Lyrics & Flow: Support for lyric style guidance tone, phrasing, or emotion without necessarily using names or rigid structures.
4. Mixing & Production Quality: AI-assisted mixing/mastering to give polished, studio-level output.
5. Free or Accessible Version: While optional, a free tier would allow wide experimentation and creativity.
This tool would be invaluable for independent musicians, content creators, and storytellers who want to experiment with complex musical arrangements quickly and easily.
Thank you for considering this suggestion I believe it could be a game-changer for AI-driven music creation.
The problem is that they don’t have an API - Music has to be generated on their website.
The other problem is that they are having major issues with the music industry - which is why OpenAI probably won’t touch it with a ten foot pole.
Suno faces major legal and ethical challenges from the music industry over copyright infringement, fair compensation, and the value of human artistry. Lawsuits from major record labels allege that Suno used copyrighted music without permission to train its AI models, which then generate music that directly competes with artists’ work.
Copyright infringement lawsuits
Mass infringement: In June 2024, the Recording Industry Association of America (RIAA), representing Universal Music Group, Warner Music Group, and Sony Music Entertainment, sued Suno for “willful copyright infringement on an almost unimaginable scale”. The labels claimed Suno illegally copied and exploited their copyrighted sound recordings to train its generative AI.
Admitting to training on copyrighted music: After months of being evasive, Suno admitted in an August 2024 court filing that its model was trained on music presumably including copyrighted recordings accessible on the “open internet”. This admission came after the RIAA produced evidence that Suno’s outputs could mimic copyrighted music.
Allegations of illegal scraping: In a September 2025 amended complaint, the record labels claimed Suno illegally “stream-ripped” songs from YouTube to build its training datasets, a violation of the Digital Millennium Copyright Act (DMCA).
Fair use dispute: Suno argues its training on copyrighted material is “fair use” because its outputs are “transformative” and “entirely new.” However, the RIAA and artist groups strongly disagree, stating that the AI’s outputs are intended to be substitutes for the original works. Concerns about human artists and their livelihood
Devaluing creative work: Many artists, songwriters, and producers argue that AI services like Suno diminish the value of human creativity by allowing users to generate music with a simple text prompt. The fear is that AI-generated content could flood the market, making it harder for human artists to earn a living.
Lack of transparency and compensation: A central complaint is that Suno used artists’ work for training without permission or compensation. Rights holders argue they should be paid when their creations are used to develop commercial AI tools.
Negative portrayal of the creative process: Suno’s CEO, Mikey Shulman, drew backlash for suggesting that many people find music creation “unenjoyable” because of the time and effort involved. Critics saw this as an insult to the art and craft of music-making.
The uncertain path forward
Potential licensing deals: Some reports indicate that major labels are now in talks with Suno to negotiate licensing deals. Under a potential agreement, Suno would pay the labels for access to their catalogs for training, and an attribution and payment system would be implemented, similar to YouTube’s Content ID. However, this could still leave artists who are not represented by major labels out of the process.
Evolving legal landscape: The outcome of the lawsuits and licensing talks will set a major precedent for the use of copyrighted material in AI training. Suno has raised its own funding and appears prepared for a prolonged legal battle. The final resolution could take years, leaving the future relationship between AI and the music industry in flux.
New industry standards: A positive outcome could see the establishment of new legal frameworks and industry standards for how AI music generators operate, ensuring proper compensation and protection for human creators.