不过，已经适应了生存压力的民营GP，展现出了惊人的“进化能力”，各种自救怪招层出不穷。

1、九游体育 这是中国企业第一次拿到这个级别的权益。

The crowded, snake-like queue at WAIC led to a single attraction: an AI guitar capable of "improvisational jamming." During the 2026 World Artificial Intelligence Conference (WAIC), the annual updated edition of the Tianpule AI Guitar made its public debut. Over the same period, Quwan Technology, the parent company behind the instrument, released the Tianpule Large Model V4.7, pushing music-focused foundation models toward a new frontier where they can "understand revision feedback." It was unmistakable to anyone on the floor that this year’s WAIC generated unprecedented buzz. Yet the AI industry itself, having weathered countless hype cycles and technical trends, is bidding farewell to the hollow "compute arms race." The commercial value of large models is finally being realized within vertical, domain-specific scenarios. Industry observers are increasingly turning their focus toward a path distinct from general-purpose large language models: vertical integration. Compared with tech giants basking in haloed reputations and star AI startups boasting eye-watering valuations, vertical AI developers have quietly stepped into the center stage of the AI era. Grounded in user scenarios and equipped with self-sustaining revenue capabilities, they have emerged as pragmatic, viable models for the industry. By anchoring its strategy strictly on AI music and AI voice, and extending those capabilities into AI hardware, Quwan Technology offers a compelling case study of this trajectory. Bidding Farewell to the Compute Arms Race: A New Narrative in Vertical AI Commercialization The standard competitive posture in the large-model arena has long been a classic arms race: parameter count, context window length, and multimodal capabilities served as explicit metrics of a company’s worth. By this year, however, this model of horizontal expansion has hit diminishing marginal returns. On one hand, general-purpose models suffer from worsening homogeneity, and products that rely solely on model API outputs struggle to build user stickiness. On the other hand, as AI penetrates deep into everyday life rather than acting merely as a productivity tool, technology must be embedded into concrete scenarios to solve real pain points. Quwan Technology abandoned the illusion of building a jack-of-all-trades general platform, choosing instead to double down on two vertical domains characterized by high emotional value and dense interaction: AI music and AI voice. Though operating in different tracks, their underlying logic is remarkably similar: humanity’s most natural, non-textual modes of expression have long been constrained by professional barriers, and both possess an inherent capacity to stretch from digital content into physical hardware. The foundation of Quwan’s AI music ecosystem is the proprietary Tianpule Large Model. Steering clear of open-source fine-tuning, Quwan built the model from scratch to optimize for real-time interaction, laying the groundwork for a conversational creative experience powered by AI agents. During WAIC 2026, Quwan rolled out Tianpule Large Model V4.7, making AI-generated music far easier to control and iterate upon. Across two evaluation frameworks, Meta Audiobox Aesthetics and SongEval, V4.7 earned high marks in metrics such as content enjoyment, memorability, and vocal clarity, while ranking in the top tier for musicality, coherence, and naturalness. V4.7 powers Tunee, Quwan’s conversational music creation agent. This "conversation as creation" interaction model represents a true breakthrough in its capacity for proactive co-creation. Moving beyond passive "one-click generation" tools, Tunee acts more like a patient, music-savvy collaborator. Since its official launch last September, Tunee’s official website has maintained over a million monthly visits, making it one of the fastest-growing breakout products in China’s AI agent space. What has truly commanded the industry's attention, however, is the Tianpule AI Guitar. As a pioneer in the global generative AI guitar category, it was the first to embed an AI music foundation model into a physical guitar, enabling people without musical training or theory knowledge to experience the joy of playing and composing music. At WAIC 2026, the new Tianpule AI Guitar placed heavy emphasis on its core feature introduced this year: "AI Improvisation." Users can generate personalized music directly on the instrument and jam along, drastically simplifying the complex journey from composition to performance. Coupled with features like AI score transcription and hum-to-song conversion, complete beginners can quickly begin playing and writing music. The industrial significance of the Tianpule AI Guitar extends far beyond consumer electronics. It frees generative AI from behind the glass screen, turning it into a physical object that can be touched, plucked, and felt through resonance. For professional musicians, it serves as a catalyst for inspiration; for novices, it is the first key to unlocking the world of music. As Jasper Jia, Vice President of Quwan Technology, put it: only when ordinary people can use music to express emotions and document their lives as naturally as taking a photo or shooting a video will music truly become an inclusive medium for creation. The physical medium of the guitar allows AI music to step outside smartphones and laptops, truly weaving itself into everyday life. Quwan Technology’s vertical integration has constructed more than just a tech flywheel—where the model grants intelligence to the application, and the application breathes fresh experiences into the hardware. Simultaneously, the hardware feeds real-world user interaction data back into the model, establishing a system-level moat. In truth, AI has already made creation ubiquitous. But how to make good content visible, scalable, and profitable has become the stark reality facing the second half of the AIGC race. Quwan Technology’s answer to that reality is AI voice. In recent years, the overseas expansion of Chinese film and television productions has accelerated rapidly. Dubbing and localization, however, have remained a persistent industry pain point. High quality, high efficiency, and low cost form a classic impossible trinity. Against this backdrop, Quwan Technology collaborated with The Chinese University of Hong Kong, Shenzhen, to develop the MaskGCT voice foundation model. On October 24, 2024, MaskGCT was officially open-sourced to the world via the Amphion framework. Across multiple text-to-speech (TTS) benchmark datasets, MaskGCT achieved state-of-the-art (SOTA) performance, even outperforming human baselines on select metrics. All Voice Lab (Quwan Qianyin) represents the commercial application built atop the MaskGCT model. As a one-stop video translation and AI dubbing platform, All Voice Lab slashes AI translation and dubbing costs by 90% compared with traditional human labor while boosting speed more than 50-fold, handling a monthly translation volume of up to 500,000 minutes (roughly 5,000 drama episodes). Since its launch, All Voice Lab has assisted over 100 film, TV, and animation clients in solving localization hurdles. It processes nearly 10,000 short drama episodes per month across single languages for overseas markets, reaching over 30 countries and regions globally and helping clients boost monthly YouTube channel revenue by 10% to 30%. Driven twin-engine style by AI music and AI voice, Quwan Technology is transitioning into a "new infrastructure" provider for the entertainment industry. It proves that vertical AI companies do not need to serve everyone; by achieving excellence within targeted vertical domains, they can unearth vast commercial value. From Mobile Voice to AI Creation: Quwan’s 12-Year Evolution of "Interest" The first half of Quwan Technology's journey followed a textbook mobile internet success story. Its flagship product, TT Voice, evolved from a simple voice tool designed to help gamers find teammates into an interest-based social platform boasting over 200 million registered users. When the AI wave swept the globe, the company pivoted proactively, laying early groundwork in AI as far back as 2021 to secure its current position as a leader in AI entertainment. The essence of the company’s 12-year evolution represents a strategic leap from "connecting interests" to "creating interests." Yet the underlying logic running through it all has always been a focus on "interest" and a "human-centric" philosophy. For instance, TT Voice’s early positioning was remarkably simple—a "gaming walkie-talkie." But what fundamentally transformed founder Song Ke's understanding of the product’s value was the spontaneous behavior of its users. He noticed that many users did not leave the voice rooms after finishing their games; instead, they stayed to sing, chat, and share their lives. He realized then that while the platform ostensibly solved an efficiency problem ("how to play games better"), it was actually fulfilling an emotional need ("how to connect better with people"). Grounded in this insight, TT Voice quickly evolved from a tool into a community. Beyond gaming matchmaking rooms, it rolled out diverse interest spaces including singing rooms, chat rooms, and audio-visual rooms. In cultivating the social space, Quwan Technology identified an emerging industry trend: the new generation of users was no longer satisfied with merely consuming content; they craved autonomous creation and self-expression. This was no mere hypothesis. On the TT Voice platform, users were already looking beyond finding gaming buddies—they were singing in voice rooms, sharing life moments in chat rooms, and expressing themselves in communities. As AI technology matured, these deeper desires could finally become reality. In the past, completing a song—from lyrics and composition to arrangement, mixing, and recording—demanded specialized skills at every step. Many possessed creative sparks or deep emotions but struggled to translate the melodies in their heads into finished works. In 2024, the team set out from scratch to build "Tianpule," a multimodal music generation model, choosing a self-developed path distinct from open-source fine-tuning. In the AI voice domain, Quwan partnered with CUHK-Shenzhen to open-source the MaskGCT voice model. Quwan develops both AI music and AI voice; it launches AI hardware while maintaining an interest-based social platform with over 200 million registered users. While its business scope appears broad, it is built upon a single, continuously expanding set of core AI interaction capabilities. Across its distinct business lines, Quwan serves diverse sectors—music creation, content globalization, public services, and social networking. From an architectural standpoint, however, they all draw from the same underlying AI interaction capability. Looking back at Quwan Technology's 12-year trajectory, a clear thread emerges: the first half was about "connecting interests"—using interest communities to bring together young people seeking belonging; the second half is about "creating interests"—using AI to lower creative barriers so anyone can convert ideas into digital assets and passion into sustainable expression. Sustaining this arc is not the pursuit of tech trends, but an unwavering understanding of "interest" and "people." Whether with TT Voice or AI music, Quwan’s ethos places user insight ahead of technical R&D. This product philosophy—starting with the human element and designing backward from the ultimate user goal—ensures that technical iterations always revolve around real-world scenarios rather than descending into pure technical rivalry. Moving from "connecting interests" to "creating interests" is not only Quwan Technology’s internal evolution, but also an answer to how technology can truly serve human beings. No matter how technology changes, the essence of business remains constant: to understand people, serve people, and empower people. Conclusion Twelve years ago, Quwan Technology answered one question: How do you help people who love playing games find one another? Twelve years later, it is answering another: How can every ordinary person be given the chance to create their own work and express their unique passions? While the industry remains locked in fierce rivalry over conventional paths—whether single-point tools or general-purpose platforms—Quwan Technology has used vertical integration as an anchor to build a closed-loop "Model-Application-Hardware" ecosystem across AI music and AI voice. This is a direct response to the true nature of AI commercialization: technology can only weave itself into the fabric of everyday life and form a sustainable business model when it penetrates all the way through foundational algorithms, intermediary interactions, and physical hardware devices. (This article was first published on the TMTPost App; author | Li Chengcheng)消费动态 耐克将终止滔搏、宝胜国际在中国内地的线上授权 7月22日，Nike在中国的两家主力经销商：滔搏、宝胜国际发布公告确认，2027年1月1日起，将全面终止 NIKE产品在中国内地线上平台的销售。九游体育此外，球队运动战进球过度集中在梅西脚下，其他锋线球员终结效率不稳定，一旦梅西被重点限制，第二得分点能否及时站出来，将直接影响比赛走向。

2、王珞丹参加上海人工智能大会，脚踩高跟鞋飒爽，从容大气女王范

滔搏将此次调整定性为“重大短期负面影响”。

3、36年首次无缘八强，内马尔宣布退出，一切都结束了…

靠着这套逻辑，这家机构已经投出了足球游戏公司Sorare、智能健康戒指Oura等多家独角兽项目，格列兹曼与英格兰球员埃里克·戴尔等约40位运动员一同成为这家机构的出资人。

4、段刘愚转会云南：泰山队的取舍与新生，球员的适配与机遇

今年上半年，公司碳酸锂产、销量约4.94万吨、3.91万吨，较上年同期的2万吨、2.06万吨均大幅上升，量价齐升助力上半年盈利预增131.38%-142.95%。

5、从0-2到2-2，浙江队的下一个胜场在什么时候？

尤文面临主力中卫布雷默可能离队的局面，土耳其豪门加拉塔萨雷开出高薪邀约，迫使斑马军团提前物色替代者，AC米兰的托莫里进入考察名单。

据《每日体育报》报道，巴塞罗那俱乐部已正式向西甲联盟提出申请，希望在2027-28赛季上半程继续将主场设在蒙特惠奇路易斯匹克体育场。

梅西太难太累了，没有迪马利亚级别的边锋助阵，梅西踢得非常艰难，好比船长没有队副的帮助。

6、封神扑救难救全队！布努用数据证明：足球从来不是一人的孤军奋战

而贯穿其中的底层逻辑，始终是“兴趣”与“以人为本”。

从财务角度分析，托莫里当前的账面价值摊销约为每年730万欧元，加上其450万欧元的税后年薪，每年合计开销约1180万欧元。

7、“别拿廉价母爱感动自己！”妈妈把女儿破袜子补成一朵花，反被嘲

25岁的吉拉正值当打之年，本赛季累计出战32场，是蓝鹰防线不可或缺的一环。

全场比赛，摩洛哥仅仅只有1次射正，其余时间几乎都在疲于奔命地防守。

8、国内商品期货夜盘开盘涨跌不一，沪银涨1.2%

当法国队还在依赖球星的个人能力试图“降维打击”时，亚马尔和西班牙队已经用精密的战术齿轮，将这种个人英雄主义碾得粉碎。

它的政策备案已开闸，七家巨头已入场，三款“全球首款”已亮相，市场渗透率正在飙升。

这不是一个球员从第一场扛到最后一场的故事。

9、科普｜乳腺癌放疗皮肤防护

据《每日邮报》记者Ian Ladyman的最新报道，赖斯在本届世界杯期间，一直在近乎难以忍受的不适下坚持比赛。

在2026 世界人工智能大会(WAIC 2026)期间，钛媒体对话了希捷科技中国区市场与业务战略负责人俞康，从存储厂商的视角，讲述了AI规模化落地过程中被低估的部分，数据的流动、闭环与复用能力，以及硬盘这门传统技术如何在AI时代找到新的增长曲线。

10、“不去北大上复旦，咋想的？”江苏683分考生的志愿选择，原因很现实

在英格兰阵中，阿森纳对阿斯顿维拉球星罗杰斯始终青睐有加。

他认为，眼下这支英格兰队展现出的强度，和英超俱乐部相比有明显差距。

1、小玥儿罕露正脸！汪小菲一家游香港，为女儿唱睡前歌！玥儿好开心

7月24日的上会审议，就看公司能不能拿出足够有说服力的证据，打消这些质疑了。

2、申花VS海牛足协杯！俄罗斯教头透露目前阵容并不厚实 战术轮换难

多点开花 vs 锋线狂飙 荷兰小组赛进攻端多点开花，加克波和布罗比对瑞典双双梅开二度，萨默维尔也连续两场取得进球，邓弗里斯在边路多次送出助攻。

3、天气

对于贝西克塔斯而言，这不仅是竞技层面的豪赌，更是向加拉塔萨雷、费内巴切等争冠对手发出的最强宣言：他们也要争冠。戏里戏外皆父子，不同姓儿英年早逝，九旬老父独存比如海外模型厂商的担忧、开发者的好评以及随之而来的算力不足问题，甚至杨植麟本人登上热搜，这也是他第一次在大众意义上的出圈。

4、澳大利亚，一小撮之一！

红黑军团董事会成员卡尔维利是事实上的首席执行官，富拉尼的授权已转移给他。

5、顶流惊现绍兴！好多人偶遇到了！

换句话说，它不等同于普通家庭市场。

6、马斯克穿皮衣敲钟，成首位万亿富豪！有钱真能改变面相？

国际足联周一公布了最新一期世界排名。

尽管西班牙的拉科鲁尼亚也有意向，但维拉提供的竞技平台与转会预算更符合球员和米兰的预期。

管理层在引援上可能又要重走三条老路，一是通过“魔球算法”引进20岁以下的潜力股；二是在荷甲、比甲等非主流联赛签下数据亮眼的球员；三是赌博性引进恩昆库这种被豪门球队边缘化的球员。

7、重塑AI时代的搜索可见性与内容营销—2026年GEO生成式引擎优化行业研究报告

世界排名第二的西班牙队由罗德里坐镇中场，不仅掌控着极致的传控节奏，更创下了连续649分钟不失球的历史级纪录。

这几笔引援加大了马竞出售球员的迫切性，球队必须先卖后注册，把账做平。

8、黄仁勋现身东京小店吃面条喝威士忌，大佬们的合作都是这么谈的？

这笔转会若能成功，也将为巴萨在转会窗带来一笔重要的财务收入。

也正是那个时期，她与塞内西第一次相遇。

这场未解的现实冲突，让足球场上的对抗被赋予了“民族尊严挽回”的额外重量。

01.云业务撑起增长故事，资本开支计划突破2000亿 从核心财务指标看，谷歌Q2主营业务交出了一份超出市场预期的答卷。