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【特集】Riffusion: Exploring the Fusion of AI and Music

The Rise of Riffusion

Riffusion, an application that generates music based on visual cues, has recently received a $4 million investment after transitioning into a commercial venture. Originally created as a hobby project by developers Seth Forsgren and Hayk Martiros, Riffusion quickly gained attention from major tech companies such as Meta, Google, and ByteDance. The app's appeal lies in its simplicity, allowing users to describe lyrics and musical styles, and then generating complete riffs with vocals and artwork in just seconds.

The Funding Round and Advisory Partnership

Greycroft Partner led the recent funding round for Riffusion, with participation from South Park Commons and Sky9. Additionally, popular musical duo "The Chainsmokers" have joined the project as advisors. This funding and partnership highlight the potential of Riffusion in the music industry.

AI and Music: New Possibilities and Controversies

Generative AI tools like Riffusion, Suno, and Meta's Audio Craft offer new avenues for both amateurs and professionals to create and share music. Discord servers and YouTube channels have already emerged where users share their AI-generated music. However, the integration of AI into the arts remains a contentious topic. While some artists, like Grimes, embrace AI to enhance their artistic processes, others, like Drake, express concerns about its impact on music creation.

Controversies and Legal Concerns

The fusion of AI and music has sparked several controversies. The "No Fakes Act" in the U.S. aims to prevent unauthorized AI-generated reproductions of actors' and singers' voices and likenesses. Universal Music Group has also raised concerns about unauthorized AI training with their artists' music, potentially infringing on copyright laws. These issues gained attention when an AI-generated song imitating The Weeknd and Drake's style went viral, even being considered for a Grammy nomination. However, the current legal framework does not allow AI-generated works to be copyrighted.

While Riffusion remains cautious about potential legal implications, it does not generate deepfakes and does not recognize famous artist names. The app's collaboration with established artists suggests potential future directions for the platform. It is worth noting that generative AI has also faced criticism and ethical concerns in visual arts and literature, as artists argue that training AI models with their works without consent is unethical and possibly unlawful.

【特集】Riffusion: Exploring the Fusion of AI and Music
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https://decrypt.co/202018/blending-tech-and-tunes-4-million-riffusion-raise-lights-up-ai-music-scene
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