没有人类参与的AI音乐才会趋于平庸｜破晓访谈

Core Insights - The core value of GenAI in the music industry is the significant enhancement of creative efficiency, applicable in lyric writing, composition, and singing, with the potential to create new music forms and genres through a "production-consumption-feedback" loop [7][11] - The phenomenon of "super individuals" in the music field is becoming more pronounced, empowering independent musicians and ordinary users to take control of the entire creative process, shifting from consumers to creators [7][12] - GenAI presents both opportunities and challenges, enhancing productivity while complicating content management and copyright protection, necessitating a collective effort to establish clear rules [7][16][18] Group 1: GenAI's Impact on Music Creation - GenAI has drastically improved production efficiency, with independent musicians increasing content supply by 2 to 3 times, while established labels also see significant efficiency gains [10] - AI's role in music creation includes lyric writing, composition, and vocal adaptation, with the potential for AI to innovate beyond mere imitation if a feedback loop is established [10][11] - The current quality of AI-generated music is still developing, with strict management standards in place to protect original content [10] Group 2: The Rise of Super Individuals - The emergence of "super individuals" allows independent musicians to manage the entire creative process, while ordinary users can now create and publish music without professional training [12][13] - Key competencies for these super individuals include advanced aesthetic judgment, effective communication with AI models, and emotional expression in their work [13] Group 3: Structural Changes in the Music Industry - The music industry is likely evolving into an "olive-shaped" structure, where top creators remain irreplaceable, but the middle tier of creators is expanding due to AI's influence [15] - The ability to operate and promote oneself is becoming increasingly important, as the core barrier to success shifts from creation to distribution and audience engagement [15] Group 4: Challenges in Content Management and Copyright - The influx of AI-generated music increases pressure on platforms for effective content management and compliance with regulatory standards [16] - The complexity of AI's involvement in music creation complicates copyright management, necessitating new models for licensing and revenue sharing [17][18] Group 5: The Future of AI in Music - AI-generated music is expected to evolve, with the potential for creating unique styles and enhancing user experiences through personalized and real-time generated music [21][23] - The success of AI singers will depend on the human teams behind them, emphasizing the importance of storytelling and emotional connection in building virtual idols [20]