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 ...

Core Insights - The CEO of Kunlun Tian Gong, Zhou Yahui, aims to establish a new category of "good AI music" targeting overseas markets, positioning the company as an AI version of Spotify [1][3] - The Mureka AI music platform will adopt a completely free strategy, leveraging the model's capabilities to attract a large global user base, similar to free short drama platforms [3][4] Group 1: Technology and Market Strategy - Zhou believes that technological leadership is a significant competitive advantage, with the Mureka V8 model providing a six-month window of opportunity for the company [4][10] - The goal is to achieve 100 million Daily Active Users (DAU) and 300 to 500 million Monthly Active Users (MAU) by utilizing the company's extensive overseas industry experience [4][21] - The Mureka V8 model has reached industrialization standards, capable of serving professional musicians and generating appealing music for general audiences [9][10] Group 2: Business Model and User Engagement - The overseas expansion will be executed in four steps: enhancing AI model capabilities, validating content quality through user interaction, establishing user retention mechanisms, and refining commercialization strategies [10][14] - The platform will operate on both B2B and B2C models, providing tools for creators and a free ad-supported app to attract users [14][15] - Zhou emphasizes the importance of community engagement and collaboration with traditional musicians to enhance market development [16][17] Group 3: Competitive Landscape and Industry Insights - Zhou asserts that AI Super Apps will primarily emerge from large tech companies due to their resource advantages, making it challenging for AI-native companies to compete [21][22] - The U.S. capital market's high valuation for innovative companies creates significant advantages for startups, making it difficult for larger firms to catch up [23][24] - Zhou expresses admiration for AI-native companies in China, suggesting they should focus on their unique paths rather than competing directly with larger firms [22][24]

Annual AI Models - The award for the Annual Writing Model goes to GPT-5.2 Thinking, which surpasses Gemini 2.5 Pro and GPT-4.5 in instruction adherence, style transfer, and world knowledge [2] - The Annual Coding Model is awarded to Gemini 3.0 Pro, noted for its strong front-end aesthetics and user experience, enabling users to develop ideas directly [4][7] - The Annual Drawing Model is awarded to Nano Banana, recognized for its significant impact on the AI drawing field and its demonstration of native multimodal advantages [10][15] - The Annual Music Model is awarded to Suno V5, which has elevated the AI music field and sparked a renaissance in creative content on platforms like Bilibili [16][18] - The Annual Voice Model is awarded to MiniMax Speech 2.0, which has achieved near-human emotional expression in voice synthesis, surpassing competitors like 11Labs [19][23] - The Annual Video Model is awarded to Sora2, which has made a significant impression in the AI video space with its engaging and realistic outputs [24][26] - The Annual Overall Model is awarded to DeepSeek R1, recognized for its substantial impact on AI perception in China and its competitive pricing compared to leading models [27][30][31] Annual AI Products and Features - The Annual AI Programming Product is awarded to Claude Code, which allows users to explore local codebases and customize workflows effectively [43][45] - The Annual AI Design Product is awarded to Lovart, a design-focused agent that offers various tools optimized for creative tasks [46][48] - The Annual AI Feature is awarded to ChatGPT DeepResearch, which significantly enhances research efficiency by generating comprehensive reports in a fraction of the time [49][54] Annual AI Applications and Hardware - The Annual AI Application is awarded to Manus, recognized for its role in popularizing the concept of general agents and its recent acquisition by Meta [55][62] - The Annual AI Hardware is awarded to Plaude Note Pro, which has successfully created a new category in AI hardware for meeting management and transcription [65][73]

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].