连续两次在关键岗位人选上碰壁，暴露了米兰目前在管理层建设上的深层次问题。

1、kaiyun.com 在北京经开区，北方华创的装备子公司跟中芯北方隔着一条马路。

这将是一场胶着的较量，预测2-1分出胜负，两支球队都有获胜的可能。kaiyun.comThe 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。

2、喜讯！徐昕收到马刺试训邀请函 想给文班亚马寻找替补内线

这一幕，像极了2007年iPhone发布前夕的手机江湖，人人都知道变局将至，但没人知道最终谁会胜出。

3、“秒睡”罕见病有望得到有效治疗

据《国家报》最新消息，巴萨高层内部对于今夏签下阿尔瓦雷斯颇有信心。

4、5个品牌、5款车型集中亮相，APEC嘉宾看见“成都造”汽车的新图景

公告显示，公司预计实现归母净利润28.5亿元至42.5亿元，同比增长3276%至4935%；扣非净利润28.1亿元至42亿元，同比暴增212778.79%至318081.82%。

5、外交部：中方呼吁相关各方保持克制推动海湾地区尽快恢复和平稳定

亚马尔造点+全场牵制，姆巴佩0射正、3次越位、心态崩盘。

这种路线的优势在于，数据和模型能力具有更大的复用潜力，部分基础能力和工程平台可以同时服务自动驾驶、工业机器人、家庭机器人多个场景。

但如陶冶自己所说：硬件容易模仿，软件更难，生态最难。

6、【演出官宣】7月25日 山海风华 国风音乐盛典相约青岛

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。

福法纳是上赛季的主力中场之一，覆盖面积和对抗输出在队内名列前茅，还有一脚直塞的绝活。

7、东契奇长期跟队专家直言：湖人阵容天赋“不在同一水平”，新援凯斯勒是豪赌

乌奈西蒙在本届赛事中七次零封对手，仅失一球，毫无悬念地将最佳门将的金手套奖杯带回家。

所以这也意味着AI宠物有着更深层的吸引力，它不只是宠物的平替，更是一种情感模式的适配器，并由此催生了更细分的需求。

8、当Dior进行一场多元的材质维度实验

比赛的下半场成为了阿根廷人展现勇气的舞台。

综合来看，比利时无疑占据明显的优势。

彼时月之暗面刚完成5亿美元C轮融资、账上现金超100亿元。

9、洞洞鞋整容成芭蕾鞋，就想卖我499？

拥有10.1亿欧元总身价、高居本届世界杯身价第四的葡萄牙，以及身价9.28亿欧元位列第五的巴西，双双在淘汰赛阶段黯然出局。

摆在面前的，是又一个全新的赛季。

10、德媒：拜仁二队签下了捷克青年国脚马托斯-斯尔布

真正的分界线，或许不在“代理”与“运营”之间，而在“运营”与“拥有”之间。

枪手是否会重新追逐威廉姆斯，目前尚无定论，但经纪人这番话显然没有把门关死。

1、杜锋真没辙了？曝徐昕即使租期满也不回广东 3理由证这是双输结果

中兴通讯承担网络和系统集成能力，千卡集群向万卡规模扩展时，芯片之间的连接会迅速成为瓶颈。

2、跑马拉松住帐篷，撕了谁的遮羞布

从2024年欧洲杯的惊艳亮相，到如今世界杯决赛登顶，亚马尔用两年时间走完了无数巨星整个职业生涯都难以企及的巅峰之路。

3、广厦男篮外援布朗遭争抢，山东男篮对其报价，和北京男篮争抢！

正如《战国策》所言：“见兔而顾犬，未为晚也；亡羊而补牢，未为迟也。亚运会后防线上，鲁本·迪亚斯领衔的防线稳健可靠，坎塞洛和努诺·门德斯两翼齐飞，助攻能力极强。

4、线上报名即将截止！“北京首钢篮球俱乐部国际青训计划-2026年塞尔维亚” 等你来！_网易订阅

从基本面来看，天齐锂业业绩已进入集中兑现期。

5、「承包」了决赛的伊利，压中的不只是冠军

" 16年前，伊涅斯塔在南非世界杯加时赛绝杀荷兰，为西班牙首夺大力神杯。

6、没有新闻发布会，没有告别仪式，几页黑底白字，传奇就这么落幕了

如果他被套现，说明新管理层对中场类型将有截然不同的要求。

这位18岁的希腊国脚目前效力于比甲的亨克，16岁就在一线队完成首秀，25/26赛季比甲34场10助攻、欧联杯11场4助攻，数据层面具备说服力。

” 阿浩听完，心里只剩两个字：“惨了。

7、香港航空成都航班7月30日起转场至成都双流国际机场

9月1日起，锂电池按2%征收消费税，2027年9月升至4%；钠电池、固态电池则免税至2028年底。

这也是光互连在这个时代成为风口的底层逻辑。

8、网易

贝莱德表示，强劲的经济增长和持续的盈利扩张使其继续维持“超配”美股的立场，并建议投资者重点关注电力、芯片和数据中心等AI瓶颈领域。

包括续约在内的每项决定最终都会经由卡迪纳莱亲自过目。

梅西没有攻破英格兰的球门，但他依然用只有他能做到的方式改写了结局。

HAMR最大的价值在于能够继续突破传统磁记录技术的物理限制，实现更高的单盘面存储密度。