一进一出，净赚4500万欧元，同时还享用了一个赛季的金靴火力。

1、乐鱼电竞 从清晨起床、早餐、通勤、午后工作、傍晚散步完整流程。

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。乐鱼电竞随着贡卡洛·拉莫斯与马里奥·希拉的加盟，俱乐部今夏引援支出已突破1亿欧元大关。

2、如何将卡约交易价值最大化 到期合同换首轮签 全力追老秀伦德博格

但现阶段的Kimi，尚且不能准确回应这两大挑战。

3、跑者必练6组上肢力量，让你跑得更稳更快！

人生最重要的一夜，他坐在替补席。

4、陕西茶：过千亿！

纵观全场，法国队的强大不仅体现在进球上，更体现在令人窒息的防守压制力。

5、好事多磨!阿根廷未能按计划前往决赛城市纽约,因雷暴滞留亚特兰大

对于那不勒斯来说，阿莱格里的薪资不是问题，他的薪酬低于孔蒂目前的水平。

这场失利可能成为米兰近年来代价最沉重的一场失利，连续第二个赛季无缘欧冠，不只是竞技层面的失败，更是一颗砸向俱乐部财政的炸弹。

这种史诗级的叙事，是任何俱乐部荣誉都无法比拟的。

6、批准沙特核协议，却打击伊朗镐山？美双标嘴脸露出，情报却来自它

不要只问一个人为什么“低能量”，也问问他每天工作多久、收入发生了什么变化；不要只说“原生家庭”，还要还原父母具体做过什么，当时有哪些现实限制；不要笼统要求“情绪价值”，而是说清楚自己希望对方做什么，又愿意为关系承担什么。

战术风格上，两队形成了鲜明的“矛与盾”对决。

7、CBA快讯！广东欲续约黄明依，广州宁波数百万求购状元签，吴前留守浙江

本文资料来自长鑫科技招股书、发行公告、发行结果公告、业绩预告、SemiAnalysis报告、集邦咨询及多家券商研报。

作为卡塔尔世界杯冠军，阿根廷本届赛事的晋级之路并非一帆风顺。

8、比尔·西蒙斯痛批热火烦人球迷与媒体，期待看詹姆斯去那里崩盘

国金证券的判断或许最为中肯：黄金下有配置价值，上需事件催化。

日本队首轮2-2逼平荷兰，两度落后两度扳平，展现出极强的韧性。

埃斯图皮尼安的转会是目前进展最快的一个。

9、罗马诺：巴萨已开始讨论阿尔瓦雷斯替代方案，阿森纳仍在等待机会

不管是中国客户还是海外客户，数据中心运营中面临的核心矛盾并不是”数据不够”，而是数据越来越多，但空间、能源和预算并没有同步增长。

而“引狼入室”的剧情台词，将侵入私人空间的越界行为浪漫化，恰好触碰了女性最真实的安全焦虑，翻车自然在所难免。

10、激烈冲突！湖人大胜快船豪取5连胜 24号秀复出23分5号秀16+6

围绕这一能力开展的进一步评测显示，GPT-5.5和Claude Opus 4.6已经能够生成较为完整的逐步实验操作方案，表明前沿模型正在将风险从序列层面的计算设计延伸至实验流程层面的知识支持。

梅西本届赛事表现惊艳，但在决赛中却如幽灵般游离，赛后泪洒赛场。

1、刚刚，2026湘超常规赛赛程公布！

图：替尔泊肽销售一览 从2022年获批上市到问鼎“药王”，替尔泊肽仅用了不到四年。

2、葡萄牙营销学院高管：C罗品牌价值远超葡萄牙国家队

法国队全场6次射门机会，没有一次与他有关。

3、刘维伟：杨瀚森刚上一队时很单薄，每次训练结束都会留下加练

中际旭创市值从收购前的不到27亿元，攀升至突破1.5万亿元，九年涨了超过500倍。美国关税不断换马甲，真正的风险不只是2.5个百分点一个共识是，在一些传统基准测试上，中国模型过去追赶海外模型「御三家」的时间大约是6到9个月，但随着中国模型厂商发布速度的提升，速度差在被缩小。

4、一届世界杯狂赚15亿，阿迪达斯做对了什么？

葡萄牙的问题在于进攻效率不稳定，面对强队时中场优势不明显。

5、“每天跑步5公里都是过度训练？那每天跑10公里、20公里的算什么？”

“模型故事讲完了，下一个叙事是ToB与Harness。

6、美网资格赛解签：其实，纽约也一直是“福地”来着

赛后，助攻双响的梅西获得全场最高的评分-8.0分，强强对话中唯有球王持续巅峰状态，这就是越老越妖的技术流超巨-梅西。

对于米兰而言，加入回购条款是必要的，他们需要对卡马尔达保留最终控制权。

西班牙女足于2023年问鼎世界杯，这意味着西班牙首次实现男女足世界杯冠军同时在握的壮举。

7、夏联场均17.3分上位，湖人裁掉场均5.3分新秀后卫

综合各方面因素来看，这场比赛双方实力接近，埃及凭借锋线双星的个人能力略占优势，但澳大利亚也有爆冷的可能。

目前尤文是托莫里最可能的下家，新任总监马萨拉正在推动转会，不过前提是布雷默离队。

8、从大湾区到天山脚下：深能燃控以赛育才构筑技能人才发展新版图

利物浦的伊萨克与阿森纳的约克雷斯组成的双子星，身价合计超过1.5亿欧元，个人能力在整个F组都属顶级。

德拉富恩特与斯卡洛尼在执教生涯中亦师亦友，两人的战术博弈将直接决定比赛的走向。

米兰对其估价约2000万欧元，与2024年夏窗2500万欧元引进他的成本价相比略有折扣，这个价格已经相当物美价廉。

虽然克罗地亚硬实力占优，但奎罗斯为加纳打造的这种“煎熬式防守”，恰好踩中了克罗地亚攻坚乏力的痛点。