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 emphasizes the importance of developing personal taste and skills through deliberate practice before heavily relying on AI tools for creative work. It argues that while AI can assist in the creative process, true expertise and unique perspectives come from extensive hands-on experience and understanding of one's craft [2][34][36]. Group 1: AI and Creative Process - AI can be a powerful tool for generating content, but it should not replace the foundational skills and personal insights that come from manual practice [34][36]. - The author uses AI to assist in writing, with AI contributions varying from 0% to 40% depending on the type of content, highlighting that core ideas and insights must come from the individual [3][4][5]. - The process of selecting and refining AI-generated content is crucial and relies on the individual's judgment and taste, which cannot be replaced by AI [11][12][17]. Group 2: Importance of Deliberate Practice - The article advocates for at least 1000 hours of deliberate practice in one's field to build foundational skills and personal taste, which are essential for effective use of AI [25][35]. - This practice should be largely independent of AI to ensure that the individual develops a deep understanding of their craft [26][30]. - The author draws parallels to the "10,000-hour rule," suggesting that while AI can accelerate learning, the hands-on experience remains irreplaceable [24][35]. Group 3: The Role of Personal Taste - Personal taste is described as a critical component of creative work, which is developed through extensive exposure to quality content and hands-on practice [18][22][29]. - The article warns against the risk of relying too heavily on AI, which may lead to a decline in personal standards and creativity [20][36]. - Ultimately, the ability to leverage AI effectively hinges on having a unique perspective and understanding of what constitutes quality work [36][40].

Core Viewpoint - The article discusses the rise of AI-generated music, highlighting how platforms and tools are democratizing music creation, allowing non-professionals to produce songs easily and quickly, exemplified by the viral song "Skills Gobang" [6][12][21]. Group 1: AI Music Creation Tools - Various AI music creation platforms have emerged, such as Suno, which offers high-quality sound and detailed emotional expression, and Udio, which allows for style transfer in music [13]. - AIVA, an established AI music generator, uses mathematical models based on classical composers to create music, and has gained recognition from major companies [13]. - Domestic platforms like ByteDance's Sponge Music and Kunlun Wanwei's SkyMusic cater to the Chinese market, providing comprehensive music creation services [13]. Group 2: Case Studies of AI Music Success - The song "Seven Days Lover" gained popularity after being created by a programmer using AI tools, demonstrating the potential for non-musicians to succeed in music creation [16]. - The creator of "Seven Days Lover" capitalized on its success by launching a series of similar songs, although subsequent releases did not achieve the same level of popularity [16][20]. - The viral nature of AI-generated songs often stems from their catchy and simple melodies, making them suitable for short video platforms [20]. Group 3: Controversies and Challenges - The rise of AI-generated music has led to debates about copyright and competition, with some traditional musicians questioning the legitimacy of AI-assisted creations [20]. - Despite claims of proper copyright attribution, the creator of "Seven Days Lover" faced scrutiny and legal inquiries from music associations [20]. - The article emphasizes that while AI can help materialize creative ideas, the essence of music lies in the emotional connection it creates with listeners [21].

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].

Core Viewpoint - The rise of AI-generated musicians on platforms like Spotify raises questions about the authenticity of music and the implications for human artists in the industry [1][3][16]. Group 1: AI Musicians and Their Impact - A new wave of AI musicians, such as Aventhis, has gained significant popularity on Spotify, with Aventhis releasing three albums and 57 songs in just three months, reaching a peak of 1.07 million monthly listeners [4][5]. - AI musicians are being marketed as consumable cultural products, often blurring the lines between real and artificial creators, leading to concerns among human artists about competition and market share [3][8][11]. - The AI-generated music is often produced without traditional human involvement, raising questions about copyright and the future of music creation [19][27][29]. Group 2: Industry Response and Legal Implications - The music industry is facing a potential loss of revenue, with estimates suggesting that AI could threaten 24% of music creators' income by 2028, amounting to a cumulative loss of €10 billion [31][33]. - Platforms like Deezer and ROKK are taking steps to address the influx of AI-generated music by implementing systems to identify and limit the distribution of fully AI-generated tracks [43][45]. - Legal challenges are emerging regarding the copyright status of AI-generated works, with the U.S. Copyright Office stating that purely AI-generated works cannot be copyrighted, complicating the ownership and revenue distribution for these creations [27][29]. Group 3: Market Dynamics and Future Considerations - The competitive landscape is shifting, with AI tools being used as low-barrier methods for music production, leading to concerns about the devaluation of human artistry [36][39]. - The ongoing debate centers around the role of AI in music creation, with industry leaders emphasizing the need to protect human artists and ensure that AI serves as a tool rather than a replacement [49]. - As AI continues to evolve, the music industry must navigate the challenges of authenticity, copyright, and the economic impact on human creators [30][34].

Core Insights - The rise of AI musicians is significantly disrupting the traditional music industry, with AI-generated artists like Aventhis and The Devil Inside gaining substantial popularity on streaming platforms [2][3][7] - AI-generated music is characterized by high production efficiency, allowing AI artists to release multiple tracks in a short time, which contrasts sharply with the slower output of human musicians [7][8] Industry Impact - AI musicians are rapidly capturing market share, with Aventhis releasing three albums and 57 tracks in just four months, showcasing a production speed that human artists struggle to match [7] - The emergence of AI-generated content is leading to a chaotic landscape in the music industry, raising questions about copyright and legal implications [11][12] Streaming Platforms - Deezer has taken the initiative to label AI-generated content, while other platforms like Spotify, Apple Music, and Amazon Music have remained silent on the issue [12] - Over 20,000 AI-generated tracks are uploaded daily on Deezer, with AI-produced audio accounting for 18% of total uploads in April [6] Legal and Copyright Issues - The legality of AI-generated music is under scrutiny, with companies like Suno and Udio facing lawsuits for allegedly using copyrighted songs without authorization [11] - The U.S. Copyright Office has stated that AI-generated works do not hold copyright unless there is sufficient human input, leading to uncertainty regarding ownership and rights [12]

Core Insights - The auction held by Christie's featured exclusively AI-generated artworks, marking a significant event in the intersection of art and technology [1] - The total revenue from the auction reached $792,000, exceeding the initial target by 20%, with the highest piece selling for $277,000 [1] - The event sparked considerable debate and controversy within the art community, highlighting the ongoing tensions between traditional artists and AI-generated content [4] Group 1: Auction Details - Christie's organized the first auction dedicated solely to AI-generated artworks, showcasing 20 to 30 pieces [1] - The auction's total revenue was $792,000, which was 20% higher than the expected target [1] - The most expensive artwork sold for $277,000, indicating a strong market interest in AI art [1] Group 2: Community Response - A public letter circulated on social media, signed by 6,500 artists, urged Christie's to cancel the auction, citing concerns over copyright infringement and exploitation of human artists [4] - The letter emphasized the lack of authorization and fair compensation for the use of copyrighted works in training AI models [4] - The controversy reflects broader discussions about the role of AI in creative fields traditionally dominated by human artists [4] Group 3: AI in Art and Music - AI is increasingly being utilized in various artistic domains, including painting and music, with platforms like Douyin's Sponge Music allowing users to create songs easily [5] - The Shanghai Conservatory of Music established a key laboratory focused on AI in music therapy, indicating a growing trend of interdisciplinary collaboration between technology and the arts [6][7] - The application of AI in art is evolving rapidly, prompting a reevaluation of traditional artistic concepts and opening up new possibilities for creativity [7]