未来人类实验室 . 以下文章来源于未来人类实验室 ，作者马渝囝 即刻上场，与未来交手。36氪旗下账号。 有 技能的五子棋， 有AI的音乐。 文 ｜ 马渝囝 编辑 ｜ 巴芮 来源｜ 未来人类实验室（ID：LabforAI） 封面来源 ｜ 视频截图 起 初，还没有人用传统五子棋来称呼五子棋，直到"力拔山兮、飞沙走石"的它出现了。 "传统的五子棋，就是把五个子连成一条线，好无趣，好无聊。而技能五子棋，就是在传统的五子棋，加入技能，好好玩，要爆了！技能五子棋，飞沙走 石，技能五子棋，力拔山兮，技能五子棋，飞沙走石，技能五子棋，时光倒流！" 这段源自《喜人奇妙夜2》的荒诞喜剧台词，配上魔性旋律突然霸占了全网。 打开抖音是"技能五子棋"的洗脑BGM，刷朋友圈能刷到改编歌词，百度搜索 还能看见同曲改编制作的五子棋游戏，连张艺兴的鸟巢演唱会也跳起了这首五子棋。 张艺兴鸟巢演唱会抖音直播截图 没人能说清这旋律到底好在哪，却没人能逃过它的"精神污染"。 更有意思的是，当网友扒这首爆火音乐的创作背景时，发现背后藏着今年乐坛最热闹的秘 密： 这届刷屏神曲，可能一半都带着AI的基因。 是的，张兴朝说《技能五子棋》"只是一次微醺后的ai ...

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]

AI观察|AI艺术品"攻占"佳士得，背后是艺术与科技的碰撞 【环球网科技报道 记者 秦耳】 三月初，全球知名的伦敦拍卖行佳士得举办了一场别出心裁的拍卖会。不同于以往大牌知名 藏品云集，这次的拍卖会是一场AI生成的艺术品专场拍卖。用主办方的话来说，这可是全球第一次由顶级拍卖行组织的全是 AI作品的拍卖会。拍品一共有20到30件，全都是AI生成的。 最终，这场拍卖的总收入达到了79.2万美元，比原定目标多了20%。其中最贵的一幅作品拍出了27.7万美元的高价。不过相对 于这场拍卖会的营收，它在行业内引发的讨论与争议远超它的实际规模。 实际上，人工智能在艺术领域引发的争议早已有之。从早期AlphaGo在围棋上击败李世石，到AI孙燕姿驰骋音乐平台，每一 次AI引发的争议似乎都是在人类自认为是专属领域，例如，艺术和体育，这些人们认为是人类精神载体的行业。 例如，抖音海绵音乐即便是音乐小白，对乐理和歌词押韵一窍不通，也能轻松创作出令人上头的洗脑曲目。你只需输入内心 的灵感，无论是关于"恋爱""离职"还是"发疯"的主题，或是"民谣""摇滚"等音乐流派，甚至是歌词内容和风格要求，海绵音 乐都能迅速为你量身打造一首约1分钟的音 ...