这笔交易的迅速达成，不仅宣告了红魔中场重建的关键一步，也让维拉面临核心流失的无奈局面。

1、乐鱼电子 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。

" 然后，广场上响起了整齐的呼喊。乐鱼电子加拿大纸面实力更强，但伤病影响不小，攻坚能力一般；南非防守韧性十足，战术务实高效，反击有威胁。

2、券业“年度大考”放榜！2026年券商分类评价出炉：半数为A类、C类公司11家

另外，随着国补政策对需求的拉动效应逐步减弱，今年“618”大促期间，中国智能手机整体销量较去年同期降幅更是接近15%，显示出短期需求端的明显疲态。

3、小红书变局：卖老股、边裁员边扩招，为上市“加速”

半决赛刚打完，国际足联就宣布，2023-2026赛季总收入将超过150亿美元，远超此前设立的130亿美元的目标。

4、格劳啥水平？大号卢永涛！海港帮津门虎清理库存，再引葡萄牙中卫打亚冠

第一份实习进不了大厂，没关系，把它当跳板。

5、正逢35岁生日，张水华率小伙伴与康养中心老人们包饺子庆小年

都灵那边有卡马尔达的青年队前教练阿巴特，对他的风格特点十分了解；蒙扎则刚刚冲甲成功，下赛季可以征战意大利顶级联赛。

第二：罗德里状态上佳，斗牛士军团无惧欧洲红魔！西班牙相比2026年欧洲杯两个边路是差点意思的，但罗德里近期找回了巅峰状态，大有渐入佳境的感觉。

那么总投入1.5万，回款为3.6万，净收益2.1万。

6、首尔 ICML 四天：模型吃掉一切的速度，快过所有人找身位的速度丨五源孟醒

有梅西在，德保罗、恩佐等中场甘愿包揽脏活累活，全队踢得从容且安心。

这支球队的进攻体系堪称完美，姆巴佩、登贝莱与奥利塞组成的“三叉戟”令所有对手闻风丧胆。

7、王毅外长横眉冷对，唯独不见日本外相，中方这次不给任何台阶

关键对位一：中场控制权争夺。

如果不是恩博洛那次极其愚蠢的假摔行为，这场对决的悬念或许会保持到最后。

8、凌晨5点！CCTV5直播英格兰生死战，13亿对阵5亿哈兰德欲超越梅西

这一系列结果让比利时国内舆论出现明显分歧。

两粒都出自巴萨球员。

这不仅是一场战术的博弈，更是恩怨、青春与足球哲学的极致碰撞。

9、新赛季，新大巴：曼恩向拜仁慕尼黑交付创新球队大巴

这是极佳视界相比很多机器人创业公司的优势。

巴塞罗那依然是阿尔瓦雷斯心目中的首选，也是目前最热门的下家。

10、Chanel是真收割不了穷人一点！

作为半决赛的失意者，高卢雄鸡与三狮军团都没能站上决赛舞台，但三四名决赛的含金量丝毫不减，姆巴佩与凯恩两大顶级射手正面对决，让这场铜牌争夺战看点十足。

摩根·罗杰斯和埃利奥特·安德森都在今夏完成了重磅转会，罗杰斯身价上调2000万欧，安德森更是大涨3500万欧，两人均达到1.1亿欧。

1、Hermes水银版夯爆了！速度提高80%，11个重磅功能必看

它让一台打印机更像一个小机器人：能感知、能校准、能纠错，也能通过软件把很多原本需要人工经验的步骤前置处理。

2、选了10个首轮秀都没选到基石，火箭在斯通时代的选秀情况不算理想

高额的资本开支最直接的代价体现在谷歌的自由现金流上，本季度谷歌的自由现金流转为-58.55亿美元。

3、本届世界杯将球传入进攻三区次数榜：扎卡居首，基米希第二

基于HAMR的Mozaic+平台目前已经实现超过4TB单盘面密度，并支撑44TB级硬盘产品。5年无“掌舵人”，万联证券公开招聘研究所所长后两层溢价全是零。

4、360首任董秘被周鸿祎拉黑，发文讨要2649万元股票激励

这批电芯的故障画像高度统一：车型集中于AION S Plus、魅580、S MAX；行驶里程几乎全部落在15万到25万公里之间；故障表现先是续航莫名缩水，继而仪表盘报绝缘故障，BMS限制动力输出，最终行驶中直接断电趴窝。

5、不期而遇！男篮球员现身中国石油加油站

” “对阵西班牙，你不能让他们掌控球权长达90分钟，因为他们终究会找到空当，而且会把你拖垮。

6、彻底撕破脸！弗里克放弃巴萨中场核心！昔日王牌铁心出走诺坎普

但在新能源时代，三电终身质保是整车厂喊出来的口号，电池供应商却躲在后面。

这场反差并非第一次出现。

据月之暗面B端业务负责人黄震昕披露，API调用收入已占整体收入的七成以上，公司彻底告别早期依赖C端个人订阅的单一模式，进入高黏性、高复购的B端规模化变现周期。

7、七年前的今天，那场令人难忘的网坛名局

现年54岁的齐达内，终于在本月与法国足协正式签约，正式顶替德尚，接过“高卢雄鸡”的教鞭。

无论是英伟达GPU持续供不应求，还是云厂商不断扩建AI数据中心，行业普遍认为，只要拥有更多GPU，就意味着拥有更强的算力能力。

8、纽约发生恐怖袭击！现场传出爆炸声！联邦大楼被纵火焚烧

卢库米刚刚代表哥伦比亚征战了2026年世界杯，合同仅剩1年且明确不会续约，博洛尼亚必须在今夏将其变现，否则明年将面临免费流失。

对涉事企业而言，拖得越久，信任消耗越大，最终付出的代价越高。

征程系列硬件已经成为地平线机器人业绩增长的重要引擎。

可以看到，原本的存储上行周期已经脱离涨价基本面，彻底演变成三巨头的价格狂欢。