手机厂商采购成本接近上限，消费市场拒绝为存储溢价买单，正在反向压制存储厂商此前的提价速度，手机行业有望迎来新的价格拐点。

1、开yun体育app官网 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。

500万人的请愿或许无法改变阿根廷继续留在世界杯进行“应阿大战”争夺一个决赛名额的事实，但它给国际足联敲响了警钟。开yun体育app官网看清自己的阶段和目标，比盲目追高薪重要得多。

2、完胜巴尔科拉！利物浦放弃 1.28 亿超巨，锁定 7700 万世界杯冠军

这并非凭空推测，公司合规漏洞、安全事故等问题频发。

3、日本又倒在淘汰赛，由不得你不信，中国足球才是亚洲未来

这背后是评价标准的换轨：建设阶段，行业比的是设备数量、峰值性能与集群规模；进入运营阶段，利用率、任务完成率、故障恢复时间、应用覆盖率和单位计算成本，将成为新的记分牌。

4、F1现场观赛人数达670万；中国25岁网球选手涉假赛被禁12年

正是出于这一判断，巴萨近期争取到了一笔2.1亿欧元的预支资金，以便在接下来两个转会窗口拥有更大的阵容补强空间。

5、法国世界杯头号卧底！无脑操作毁全队，姆巴佩史诗翻盘被他坑没

在中小联赛挖潜、从豪门租借边缘球员、依靠球探体系淘一些尚未成熟的年轻球员将成为主流方式。

预测最可能的比分是1-1，如果克罗地亚能早早进球打破僵局，或许能以1-0的微弱优势艰难过关；反之，如果久攻不下，加纳极有可能通过一次干净利落的反击完成一剑封喉。

这种“只争尊重，不争对错”的处理方式，既没有让裁判下不来台，也没有给自己招致黄牌，反而在交涉结束后，让裁判对阿根廷球员的沟通语气明显收敛。

6、三镇新外援首秀，破重庆铁桶阵试水，刘建业不怕阵地战，卡迪斯PK杜月徵

第二层，国产替代溢价。

但多头情绪仅维持了不到48小时。

7、WNBA：火花战水星止四连败？普拉姆因伤缺阵

希拉的转会费为2700万欧元固定加300万欧元浮动，年薪同样是450万欧元，但得益于意大利的增长法令税收优惠，在五年合同期内年均成本同样控制在1180万欧元上下。

运动战85次传中仅成功11次、12.94%的成功率，这个成绩他自己也不会满意。

8、乌克兰命根被炸！泽连斯基五味杂陈：再一次证明，普京的路走对了

三、球星集体跨界做VC 梅西和C罗的选择并非孤例。

世界杯半决赛，法国0-2不敌西班牙，英格兰1-2遭卫冕冠军阿根廷逆转落败。

双方还讨论了比赛分析师的角色、青训部门的情况，以及未来潜在的体育总监、技术总监人选等等。

9、中超夏季转会窗：垫底球队压哨换外援，上港官宣2名亚冠专用外援

2026年7月初安卡拉北约峰会上，特朗普的措辞达到了顶点："我不想和西班牙有任何关系。

克努森团队花了数年时间，终于在1997年成功研发出半衰期延长至12小时的利拉鲁肽。

10、蒂莱曼斯：当曼联打来电话时，你会毫不犹豫；里奥：曼联今夏转会操作很顺利，没有传闻满天飞

尽管巴萨坚称未收到巴黎圣日耳曼的正式报价，费兰的不确定性意味着夏窗后期离队并非不可能。

这类车辆日均行驶里程超过300公里，动力电池长期处于高频充放电状态，质量缺陷的暴露速度远高于私家车。

1、阿根廷职业联赛Clausura首轮：飓风迎战班菲尔德，近5次

" 周日，鲍尔斯再次出现在看台上，为塞内西和阿根廷加油。

2、男篮倒数开局！世预赛第二阶段3个对手实力分析，好打吗？

”许玮说道。

3、大学橄榄球十大新星四分卫：The Athletic盘点2026赛季潜力股

第三类是世界模型与行动模型融合路线。选秀探花先回西班牙夺冠再赴美，19岁法姆：适应WNBA其实很容易谈及同为巴萨天才的亚马尔，库巴西透露两人虽私交甚笃，性格却截然不同。

4、世界杯最被高估！英格兰卧底葬送世界杯！皇马巨星笑到最后

"他就是下一任英格兰队长。

5、45次三振/33.1局，每9局12.1K！卡瓦利征服库尔斯创国民队史

这一次，欧文造点，贝克汉姆顶住万千压力一蹴而就，帮助英格兰1-0力克阿根廷。

6、历史规律失效还是风险迟到？中期选举临近，美股三季度如何跨越“波动区间”

"我们在中场始终处于二对三的人数劣势，"姆巴佩说，"面对西班牙，这是个实实在在的问题……所有问题加在一起，结果就是输球。

但Cricut也说明，这套飞轮不会因为各个环节搭建完成便自动转动。

本次投资旨在紧抓AI技术发展浪潮，完善公司在AI“云、管、端”全链条的战略布局，扩大经营规模并提升效益。

7、勇士重组詹眉组合争冠，六年前的剑，能斩现在NBA诸路豪强吗？

据滔搏披露，截至2026年2月28日耐克产品线上平台销售的收入贡献约占集团总收入的22%。

24/25赛季，引援方面最重量级的操作是希门尼斯，墨西哥人以3020万欧元从费耶诺德加盟。

8、五届全明星怒怼Skip：先搞清楚事实再说话！53分神迹你装看不见？

不过葡萄牙破密集防守的能力存疑，如果久攻不下也存在被反击偷一个的可能。

属于亚马尔的时代，才刚刚开始，而亚马尔也成为了姆巴佩足球之路的食物链的“天敌”。

此前由AI算力需求引爆的存储涨价潮沿着供应链层层传导，引发手机终端内存报价涨幅一度超过300%，受此影响，存储成本占整机物料成本暴涨至40%的千元机，成为各大手机厂商优先调整的产品线。

主教练频繁更迭，体育总监和主教练之间缺乏默契，引援思路不清晰，这些问题都严重制约了球队的发展。