因为优异的品质表现， Mureka V 8 的发布，被认为是音乐行业的" ChatGPT 时刻"。但是，从工具 应用迈向社交平台，这是一个不小的跨越，昆仑天工有什么资源，可以支撑这一野心？ 从"可生成"跨越到"可发布" 音乐行业的" ChatGPT 时刻" 在 Mureka V 8 之前， AI 音乐大模型的生成效果，还有诸多不足之处，比如 AI 感太强、人声唱法 的匹配都不够、无法修改等。用户用 AI 生成音乐就像抽"音乐盲盒"，输入提示词， AI 吐出一段音 乐，仅有部分歌词或旋律达到心理预期，大量普通用户只能用来玩票。 2026 年 1 月 28 日，北京前门 Blue Note ， 昆仑万维 旗下的昆仑天工，发布 Mureka V8 音乐大 模型，在现场播放的 AI 音乐，其灵动的旋律、饱满的音色与精准的情感表达，展示了 Mureka V8 模型在音乐创作上的专业实力。 昆仑天工董事长兼 CEO 周亚辉 认为， Mureka V8 是最接近可用于音乐的大规模工业级生产的应 用，已经具备创作完整艺术表现力音乐作品的能力，让 AI 音乐 实现 从 " 可生成 " 迈向 " 可发布 "，成为一种音乐的新品类 ...

1月28日，昆仑天工正式发布Mureka V8音乐生成模型，盲测主观评分超过Suno V5。 昆仑天工董事长兼CEO周亚辉亲自为新模型发布站台，并把"好的AI音乐"定义为一种新的品类，要锚定海外市场，做Al版的"Spotify"。 在这篇引起广泛讨论的笔记中，他详细分析了字节、阿里等头部科技大厂在AI时代争夺SuperApp的战局，但是完全没有提到任何一家"AI原生"公司，甚 至也没有刚刚上市的明星大模型公司智谱AI和Minimax。 在周亚辉看来，大厂积累的产业厚度，是任何AI原生公司都不具备的。AI SuperApp只会在大厂中产生。但是，他也表示，很佩服这些AI原生创业公司， 他们其实只要坚持自己的节奏、守住目前的阵地，就很好。 在这场生成式AI浪潮刚刚开始的时候，周亚辉立即在硅谷深度调研，谈到大洋彼岸的AI生态，周亚辉认为，美国资本市场对创新有着极高的推崇，这种 环境赋予了创新公司极高的资本溢价，使它们的估值能在短时间内迅速剧升，从而形成巨大的先发优势 。 在这种资本逻辑下，大厂即便后发追赶，也很难在短时间内逾越由高溢价够成的竞争门槛，这使得像 OpenAI 这样的公司在面对科技大厂围剿时依然具备 极 ...

2025，终于快要过去了。 那，每一年的保留节目，怎么能不盘点一下，今年的年度AI呢？ 就像游戏行业每年有TGA、有各大博主自己的年度游戏，影视圈有各种博主自己的纯主观金菊花、金扫帚奖等等。 那我也想来盘点一下，我自己心中的年度AI。 包含大模型和AI应用两个方面。 这里我想叠个甲，这个盘点，纯我个人主观，完全不客观，只会综合我自己看待市场的视角和方式，来去做盘点，有不同意见或者我遗漏的欢迎讨论，但 是别喷，这里面没有任何植入，大家也可放心食用。 话不多说，我们，开始。 一.年度大模型 >/1. 年度写作大模型 得奖模型：GPT-5.2 Thinking 没想到吧，我居然会把年度写作模型，颁给GPT-5.2 Thinking。 GPT-5.2 Thinking这个版本，在我心中，超越了Gemini 2.5 Pro和GPT-4.5，在年尾，一举成为我心中的年度模型。 写作，总是会被很多的评测和媒体所忽略，很多人讲，怎么让AI没有AI味，怎么写出来的东西文笔更好，而在我自己尝试下来， GPT-5.2 Thinking在指令 遵循、风格迁移、世界知识这块，都达到了极佳的效果，比 Gemini 2.5 Pro幻觉更少 ...

Core Viewpoint - The article discusses the resurgence of creativity in the "Kichiku" (鬼畜) genre on Bilibili, driven by advancements in AI music generation, particularly the Suno V5 model, which has enabled creators to produce high-quality content with ease [44][46][48]. Group 1: Resurgence of Kichiku Content - The Kichiku genre on Bilibili, once thriving, has seen a decline in creativity over the years [11][12]. - Recently, there has been a notable revival, with creators producing innovative and engaging Kichiku music, marking a "cultural renaissance" on the platform [24][43]. - The emergence of AI tools like Suno V5 has significantly lowered the barriers for creators, allowing them to focus on artistic expression rather than technical skills [44][48]. Group 2: Impact of AI on Music Creation - The Suno V5 model has been highlighted as a game-changer, enabling creators to produce music that surpasses many mainstream songs in quality [46][47]. - The ease of use of AI tools allows individuals without extensive musical training to create complex compositions quickly [51][90]. - The article emphasizes that the AI tools provide a platform for expressing emotions and creativity, reminiscent of the original spirit of Kichiku [100][101]. Group 3: Community and Cultural Significance - The article reflects on the nostalgia associated with Kichiku content, noting that despite changes in creators' lives, the essence of sharing joy through content remains [104][105]. - The community aspect of Bilibili continues to thrive, with users engaging in shared experiences and laughter, reminiscent of earlier days [102][104]. - The revival of Kichiku content is seen as a bridge connecting past and present, allowing older users to relive their youthful experiences while engaging with new creations [101][105].

Core Insights - The article discusses the rapid rise of AI-generated music, particularly focusing on the capabilities of the Suno V5 model, which allows for advanced customization and control over music generation [5][21]. - The author highlights the potential of AI in transforming the music industry, enabling users to create high-quality remixes and original compositions without extensive musical knowledge [6][21]. Summary by Sections AI Music Generation - The Suno V5 model has evolved significantly, allowing users to control various elements of music creation, including style, lyrics, and audio modifications [5][6]. - AI-generated music has gained immense popularity, with numerous tracks receiving hundreds of thousands of likes on social media platforms [3][21]. Workflow and Features - A simple workflow has been developed for generating music using Suno, which includes two main approaches: remixing existing tracks and creating original compositions based solely on prompts [6][18]. - The model allows for detailed customization, including specifying vocal gender, style influences, and even the "weirdness" factor to create unique sounds [7][8]. Prompt Creation - Users can create structured prompts for the AI by defining global style characteristics and providing detailed instructions for each section of the song [10][11]. - The prompts must include specific elements such as core genre, instrumentation, vocal style, and production characteristics to guide the AI effectively [10][11]. Industry Impact - The article suggests that the advancements in AI music generation could revitalize the stagnant music industry by enabling more creative expressions and reducing reliance on traditional music production methods [21][23]. - The potential for AI to remix classic songs in various styles is seen as a positive development, offering fresh interpretations of well-known tracks [21][23].