坏了坏了，AI音乐生成器初创公司Suno AI的蛋糕，也被OpenAI盯上了。 据悉，OpenAI已经跟艺术学院合作了很长时间，不久会正式进军AI音乐。 网友纷纷为估值20亿美元的Suno叫苦： 这世界上哪儿还有什么AI赛道的初创公司啊……大家做的只不过是个还没被OpenAI公布的，一公布就会被取代的ChatGPT子功能罢了！ 对OpenAI几亿用户中的大多数来说，待发的新功能显然令人兴奋。 AI并不是在让音乐自动化，而是在让人人都具有艺术表达的能力。 不过，鉴于Sora 2的前车之鉴，OpenAI这次的音乐产品还没出炉，就已经有不少人担心起了音乐人版权的问题。 AI或许能让卧室制作人也能有大制作，但问题是代价是什么？Suno与Udio的崛起可侵害了不少音乐人的版权。 OpenAI艺术人格上线 The Information爆料，OpenAI团队最近悄悄在筹备一项AI音乐计划。 目前，OpenAI已经在和茱莉亚学院的一些学生合作标注海量乐谱，用作模型训练数据。 要知道，茱莉亚学院是世界顶级的艺术院校之一，被誉为「艺术家的哈佛」——电影《哈利·波特》的配乐大师John Williams、知名大提琴家马友友，都 ...

Core Viewpoint - OpenAI is preparing to enter the AI music generation market, which poses a significant threat to existing startups like Suno, valued at $2 billion, as they may be overshadowed by OpenAI's capabilities [1][2][11]. Group 1: OpenAI's Entry into AI Music - OpenAI has been collaborating with the Juilliard School to develop a music generation model, aiming to automate and personalize music creation for content creators [7][8]. - The new music model is expected to integrate with existing OpenAI products, potentially allowing users to generate background music for videos easily [7][10]. - The competition in the AI music space is currently limited, with the top ten platforms holding only about 24% of the market share, indicating room for growth and disruption [12]. Group 2: Market Dynamics and Competitors - Suno and Udio are the two most notable players in the AI music generation market, with Suno focusing on accessibility for all users and Udio targeting professional users [12][13][14]. - Suno has reported an annual recurring revenue (ARR) of $150 million, with a nearly fourfold year-on-year growth, and a gross margin exceeding 60%, highlighting the profitability of the AI music sector [29][30][31]. - Other companies, including ByteDance, Alibaba, and Tencent, are also exploring AI music generation, indicating a growing interest in this market [16][18]. Group 3: Historical Context and Future Implications - OpenAI previously attempted to enter the music space with models like MuseNet and Jukebox but faced funding challenges that limited their progress [22][25]. - The renewed focus on music generation aligns with OpenAI's strategy to diversify its product offerings and generate revenue to offset operational costs [26][34]. - The entry of a tech giant like OpenAI into the AI music market is expected to accelerate innovation and provide consumers with more choices [20][34].

Core Insights - The article discusses the rapid evolution and acceptance of AI in music creation, highlighting how AI-generated music has gained popularity and commercial success in recent years [2][3][9]. Group 1: AI Music Creation Trends - In 2023, AI has generated over 100 million songs, with projections estimating that the AI music market will reach $7 billion by 2026 and account for 50% of the music market by 2030 [9]. - The perception of AI among creators has shifted from skepticism to viewing it as a valuable tool for enhancing creativity and efficiency [8]. - AI music is increasingly being used for commercial purposes, such as advertising and background music for short videos, where functionality is prioritized over artistic depth [9]. Group 2: Creator Perspectives - Creators are now focusing on how to effectively utilize AI rather than debating its necessity, indicating a more pragmatic approach to AI integration in the creative process [8]. - The role of human creators is evolving; they are seen as directors who define problems and guide AI in the creative process, rather than being replaced by it [10][11]. - The emotional and subjective nature of music means that while AI can generate content, the unique human experience and interpretation remain irreplaceable [15][16]. Group 3: Technological Developments - AI tools have advanced significantly, allowing for the generation of high-quality music with minimal human intervention, although there are still areas for improvement, particularly in emotional storytelling and real-time interaction [11]. - The integration of various AI tools into a cohesive workflow is essential for maximizing creative output, with future developments likely leading to comprehensive AI creative platforms [12]. - The cost of GPU resources remains a significant factor in the development of AI music tools, with ongoing research and technological advancements expected to drive demand for more powerful GPUs [13]. Group 4: Future of AI in Music - The future of music creation may prioritize taste over technical skill, as AI makes content generation easier, leading to a demand for individuals who can curate and refine AI-generated works [16]. - There is a call for AI to achieve a deeper understanding of music, moving beyond simple generation to creating innovative forms of music that resonate on a human level [17].