2023年，Mounjaro销售额达51.63亿美元，同比增长970%。

1、天博集团app 切尔西新任主帅哈维·阿隆索明确表态，希望恩佐·费尔南德斯继续留在斯坦福桥，尽管围绕这位阿根廷中场的离队传闻愈演愈烈。

他几乎没有犯下任何错误，是球队一路零封对手闯入决赛的关键一环。天博集团app根据《全市场》消息，目前米兰中场的人员架构可划分为四个层级。

2、踢申花不用动员！烟雾弹？上海德比前海港暗示2名重要球员将复出

米兰与尤文的比赛进行到第74分钟，莫德里奇在中场与洛卡特利争抢五五开的球权时，两人头部发生剧烈碰撞。

3、郭学益，被“双开”

2026财年下半年，东方甄选的净溢利预计达到了2.81-3.11亿元，相较2025财年下半年，同比增长了172.8%至201.9%。

4、程蓓调研新能源专用车产业链建设情况

主帅德拉富恩特与全体队员逐一登台亮相，每人伴着自选曲目与全场高歌，身上穿着印有"我们是冠军"字样的T恤。

5、沃克走了他本可接班RB1，ACL撕裂+首轮新秀却让沙博内特前景艰险

后两层，市场给不给、给几层，决定了一签赚3000还是2.2万。

从数据层面来看，已经晋级四强的法国三叉戟的统治力确实令人惊叹。

东吴证券估算，全年锂矿供给约214万吨，新增44万吨，但大部分产能要到三季度以后才释放，供需的时间错配给了上半年价格回升的燃料。

6、前任死活看不上，新帅首期名单就获征召：他被弃内幕终揭晓

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。

” 而3月末接任耐克大中华区总经理的申凯希（Cathy Sparks）以署名文章形式解读了此次终止合作的背后发展逻辑，称将重构大中华区市场生态，其中重点聚焦打造线上数字市场生态。

7、放弃 1.2 亿水货！阿森纳锁定 7700 万世界杯冠军神锋！实力碾压罗杰斯

周远注意到了这个时间差，画了两只闹钟。

七是稳妥有序深化资本市场双向开放，进一步加强跨境监管合作。

8、2-4，奥斯卡双响！足协杯16强诞生：中超13队，中甲1队，中乙2队

身边的莱奥、菲利克斯、贡萨洛·拉莫斯等年轻球员，为葡萄牙的进攻线提供了充足的活力和轮换空间。

现场展出 570 架新兴航空器（含模型），其中 eVTOL（含模型）51 台，通航飞机（含模型）18 架，无人机 501 架。

产能过剩还是产业“成年” 关于装车率，有一组数据需要仔细辨析。

9、被指控违规招募 3500万教头回怼斯温尼：别装得好像自己多干净

在VAR技术日益普及的今天，如何统一裁判尺度、消除人为操作的灰色地带，比任何公关声明都更为重要。

早在上赛季结束、阿隆索接手球队之前，加纳乔在伦敦西区的未来就已经打上了问号。

10、巴西1-1逼平摩洛哥，达尼洛替补出场，尤文追逐意大利国脚恩多尔

产业升级的大方向，就是淘汰那些安全管理跟不上、内控漏洞百出的企业，让真正规范运营的公司获得发展空间。

当全球企业逐步摆脱单一模型依赖，或自研垂直专用小模型，或基于开源基座通过强化学习搭配大小双模型适配细分业务，AI商业化的底层逻辑已然清晰——能赚钱的AI，从来不是“做出来的”，而是“长出来的”：长在真实的场景里，长在用户的需求中，长在一群愿意坚持的创业人手里。

1、泰山耻辱纪录不断！近三轮被对手狂轰87脚，李国旭专克韩鹏，马莱莱专克山东

人才流失进一步放大了外界的不安。

2、CCTV5+直播蓉城VS国安！蒙帅没赢徐正源，把气儿撒给约翰！领头羊难道四连平？

挪威的特点非常鲜明，进攻主要有两条路径：一是厄德高中路调度后分边，由边后卫或边锋起球传中，利用哈兰德和索尔洛特的身高优势抢点；二是抓对手失误打快速反击，厄德高直塞哈兰德形成单刀。

3、官方：乌迪内斯三人交易至沃特福德，布拉沃帕耶罗已体检签约

纽卡斯尔在出售戈登和托纳利后拥有充足的转会预算，签下托莫里在财务结构上完全可行，俱乐部也需要用有分量的引援向球迷展示雄心。这场文化大赛为何选择泸州？三千年文脉告诉你答案……亚马尔把这句话变成了笑话。

4、迈阿密海豚外接手回应复合传闻：大家都冷静一下

据悉，这是力箭一号第15次飞行，也是力箭系列第16次发射。

5、刚喊封锁霍尔木兹？伊朗就解禁石化出口，特朗普这次要失算了

不过，阿斯顿维拉已经在谈判中抢得先手，曼赞比本人也更倾向于加盟这支伯明翰球队，纽卡斯尔因此接近退出争夺。

6、斯凯恩斯投满7局8K夺第9胜 海盗5连胜继续横扫跨联盟对手

阿德耶米的强硬立场，成了谈判桌上最关键的筹码。

从业者还有一个疑问，如何平衡风险和国资属性？ 54号文在砍断“明股实债”的同时，也提出了建立“尽职免责与容错机制”。

钛媒体：当前存储市场需求火爆，供不应求，希捷现阶段的工作重点是什么？ 俞康：因为很多客户的存储需求都在快速增长，所以我们一直在想办法提升容量、增加产能，更好满足客户需求。

7、罗斯又续命了，屎味巧克力！残阵海牛燃尽了，米兰手中牌打到极致

球员踢球就是工作，去薪水更高的沙特联赛也无可厚非，因为球员的职业生涯是吃青春饭，也就短短十多年。

在世界杯决赛击败阿根廷后，托雷斯曾表示“命运早已注定”。

8、咱们身边事

三点相似性让DeepSeek和Kimi反复被拿来比较，因此此次拿到与DeepSeek相似的剧本也并不意外。

预计摩洛哥常规时间取胜的概率稍大，最可能的比分是1-0或2-1。

目前产品发布只有两个季度左右，客户还处于装机和上线阶段，运行数据还需要一些时间积累。

未来五年，且看这位匈牙利天才，如何带领红军重返欧洲之巅！“家有一老如有一宝”，这是独属于阿根廷的“越老越妖”。