Accessibility StatementSkip Navigation NEW YORK, Nov. 19, 2025 /PRNewswire/ -- Warner Music Group (NASDAQ: WMG) and Stability AI today announced a collaborative effort to advance the use of responsible AI in music creation, combining WMG's long-standing advocacy for principled innovation with Stability AI's expertise and leadership in commercially-safe generative audio. Continue Reading WMG/Stability AI The initiative will focus on developing professional-grade tools that enable artists, songwriters, and ...

Core Viewpoint - The article discusses the first CEO annual conference organized by Jinqiu Fund, themed "Experience with AI," focusing on the intersection of technology, capital, and creativity in the AI era [1]. Group 1: Event Overview - The conference aims to explore not just AI itself but how technology, capital, and creativity can interact in the AI age [1]. - The event is designed to be a genuine space for understanding, utilizing, and experiencing AI [1]. Group 2: Music Generation with AI - Seven representative AI music generation products were evaluated, including Suno, ElevenLabs, and Udio, with Suno being selected for the conference music due to its high success rate [4][5][6]. - The music requirements included creating entrance music for guests based on their company and personal situations, as well as warm-up music suitable for the conference theme [7][8]. Group 3: Music Production Process - The production process involved using ChatGPT to generate prompts for music creation, which were then used with Suno to produce suitable music [10][12]. - Different styles of warm-up music were created based on the agenda and desired atmosphere, with 10-20 tracks prepared for each segment [20][21]. Group 4: AI Music Generation Insights - AI can generate melodies and mimic styles but lacks deep semantic understanding, making it challenging to create emotionally resonant music [26]. - The effectiveness of AI music generation heavily relies on the precision of prompts, which can be a challenge for those unfamiliar with music [27][28]. Group 5: Future Directions - The company plans to explore a more systematic and intelligent approach to music generation in the future, potentially integrating multiple AI models for different styles [30]. - There is an aspiration to create a conference theme song that meets the satisfaction of all team members and to experiment with real-time emotional feedback for music generation [30].

Core Viewpoint - The article discusses the paradox of Hollywood's response to AI technology, highlighting a significant resistance movement against AI while many industry leaders and stars are secretly investing in AI companies, revealing a complex relationship of fear and fascination with AI [1][52]. Group 1: AI Technology and Hollywood's Response - OpenAI launched its new multimodal AI video generation model, Sora 2, which has raised concerns in Hollywood due to its capabilities in creating hyper-realistic videos and integrating celebrity likenesses [3][5]. - Major talent agencies like WME, UTA, and CAA have initiated a boycott against Sora 2, citing risks to their clients' intellectual property and rights [5][6]. - The resistance against AI in Hollywood echoes the sentiments from the historic 2023 Hollywood strike, where "resisting AI invasion" was a core demand [5][6]. Group 2: Investment in AI by Hollywood Stars - Despite public opposition to AI, many Hollywood stars, including James Cameron and Robert Downey Jr., are investing in AI companies, indicating a duality in their stance towards AI [12][15]. - Cameron joined the board of Stability AI, which is known for its open-source AI models, suggesting a shift in his perspective on AI as a tool for creativity rather than a threat [15][17]. - Other stars like Ashton Kutcher and Jared Leto are actively investing in various AI startups, focusing on content generation and video editing technologies [19][24]. Group 3: The AI Investment Landscape - The article outlines the diverse areas of AI investment in Hollywood, including content generation, data analysis, and platform development, with a focus on reducing production costs and enhancing creative processes [31][36]. - Companies like Largo.ai and Qloo are examples of AI firms that provide data-driven insights to help filmmakers make informed decisions, thereby reducing investment risks [30][35]. - The potential for high returns in the AI sector is a significant motivator for these investments, with projections indicating the global AI market could exceed $1.3 trillion by 2025 [39][41]. Group 4: The Future of AI in Hollywood - The article suggests that Hollywood's elite are not just passive users of AI technology but are positioning themselves as stakeholders in shaping the future of the industry [45][47]. - The mixed feelings towards AI—fear of job displacement versus the desire to leverage AI for creative enhancement—reflect a broader industry dilemma [52]. - The ongoing debate about the ethical implications of AI in creative fields continues to provoke strong reactions, as seen in the backlash against AI-generated content that mimics deceased actors [51][52].

Core Viewpoint - The article emphasizes the rapid evolution of AI music generation products, highlighting the need for a comprehensive evaluation of their capabilities in real-world applications [2][3]. Group 1: Overview of AI Music Generators - Seven representative AI music generation products were selected for evaluation, including Suno, ElevenLabs, Udio, and others, showcasing a mix of international and Chinese companies [5][6]. - The evaluation focused on practical tasks relevant to everyday users, assessing aspects like generation speed, cost, seamless looping, lyric matching, Chinese pronunciation, and export formats [4][9]. Group 2: Evaluation Process - The evaluation involved five representative use cases to simulate the process of generating music from scratch, ensuring a realistic assessment of each product's performance [9][10]. - All products were tested under default settings to reflect the experience of ordinary users without any adjustments [10]. Group 3: Performance Results - For background music suitable for corporate events, Suno and ElevenLabs were noted for their alignment with commercial needs, although neither supported seamless looping [13]. - In the meditation music category, ElevenLabs, Udio, and Suno excelled in creating a natural atmosphere, with Suno particularly noted for its emotional control [17][20]. - For suspenseful horror film openings, Suno and ElevenLabs demonstrated strong atmospheric creation, while Udio was recognized for its intense rhythm suitable for promotional content [18][23]. - In the R&B category, Suno and Udio showed strong structural awareness, effectively completing song structures based on provided lyrics [28]. - For mimicking Jay Chou's style, Suno and Mureka performed best, but overall results indicated significant challenges in accurately replicating specific musical styles [32][34]. Group 4: Product Differentiation - The AI music products displayed clear differentiation in functionality, creative paths, and application scenarios, contrasting with the more integrated approach seen in AI video products [36]. - Suno was highlighted as a versatile platform with excellent stability and completion rates, while ElevenLabs focused on visualizing song structures for precise control [37]. Group 5: Future Predictions - The future of AI music products is expected to follow two parallel paths: one aimed at professional creators for efficiency and inspiration, and the other catering to general users for quick content generation [40]. - Innovations may lead to collaborative AI systems that assist in music creation, moving beyond simple one-click generation to more interactive processes [41]. - The development of clearer copyright regulations and style imitation guidelines is anticipated as the industry matures [42].