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].

Group 1: Generative AI Developments - Anthropic launched Claude Opus 4.1, enhancing agent tasks and real-world coding capabilities, with significant model improvements expected soon [1] - Claude Opus 4.1 achieved 74.5% on the SWE-bench Verified benchmark, outperforming OpenAI's GPT-4.1 at 54.6% [1] - OpenAI released two new open-source inference models, gpt-oss-120b and gpt-oss-20b, with 117 billion and 21 billion parameters respectively, supporting 128k context length [2] - Google's DeepMind introduced Genie 3, a universal world model capable of generating interactive worlds in real-time at 720p [3] - Google Gemini's Storybook feature allows users to create 10-page illustrated stories from simple descriptions, supporting various artistic styles [4] Group 2: AI Competitions and Performance - The first Kaggle AI chess competition saw models like OpenAI's o3 and o4-mini, DeepSeek R1, and Grok 4 participating, with Grok 4 showing the best performance [5] - Grok 4 demonstrated "GM-level" tactical strategies and speed, advancing to the semifinals alongside Gemini 2.5 Pro [5] Group 3: AI in Music and Robotics - ElevenLabs launched Eleven Music, an AI music generation model that allows users to control various musical elements through text prompts [6] - Fourier introduced the GR-3 humanoid robot, designed with a friendly appearance and capable of emotional expression through micro-expressions [7] Group 4: Future of Human-Computer Interaction - Meta's non-invasive sEMG technology enables real-time gesture decoding for computer interaction, showing high accuracy and potential for revolutionizing human-computer interaction [8] Group 5: Insights on AI and Entrepreneurship - LangChain's CEO discussed the future of ambient agents, emphasizing the need for multi-agent systems to improve overall performance [9] - Gamma's founder highlighted the importance of organizational innovation in the AI era, with a focus on small teams achieving significant user engagement [10][11]