例如努比亚为iMoochi打造了Hopami、Mimiu、Cynomi、Mogogo、Morin五款性格成员，试图用个性化养成逻辑延长产品的生命周期； 与之类似，Fuzozo芙崽基于中国五行设定了五种不同颜色和不同行为特质的玩偶。

1、星空综合 早在2024年开袋有奖活动，乐事就曾将“看赛”作为重点消费场景。

" "很明显，他们是一支很强的球队，我们对他们非常尊重。星空综合不过萨利巴缺阵让球队防空能力下降，阵地攻坚手段相对单一，中场人员储备有限，持续控球后体能下滑明显，这些都是球队短板。

2、讲真，夏天的裙子配草编包更有CP

今年夏天，对于争四失败的米兰来说注定会是混乱的一个转会窗。

3、正式官宣！热刺买下意大利中场，26岁的他价值1亿英镑之多

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。

4、“上车饺子”背后，藏着容易忽视的危险！

其中丘库埃泽的定位最值得关注，他上赛季外租富勒姆贡献3射4传，回到米兰后本来被认为是清洗对象，但阿莫林明确提到需要能一对一爆破的球员，丘库埃泽的爆点属性不仅能在边路提供变化，甚至可以试着客串右翼卫，给目前只有萨勒马克尔斯和阿泰卡梅的右路位置多一个选项。

5、挖角同城死敌！曼联打包签下2曼城球员，“新博格巴”转投红魔

双方伤停情况：挪威（队内出现多人身体不适的情况，不过目前情况好转）；英格兰有宽萨（停赛2场）、亨德森（赛后摔倒手骨折）、赖斯（疑）、格伊（疑）、詹姆斯（疑）。

赛后，球迷们纷纷调侃西班牙队拥有“冠军气运”。

但现实是，过去两年，原材料涨价时公司连成本都转嫁不出去。

6、意外！曹阳首次透露U17国足为何让潘朝伟踢主力，直言是节拍器

然而，当他们站在半决赛的舞台上，迎接他们的将是世界杯历史上最极致的防守艺术。

2026年半年度实现营业收入6.2亿元至6.4亿元，同比增加65.24%至70.57%。

7、夏天衣服要好好挑，建议大家准备这几款半身裙，优雅高级显瘦

展望未来，齐达内的蓝图已经绘就。

"正是这种心态，让他打进了那个为我们赢得世界杯的进球。

8、东北超 超好看｜冰城打造“体育+”融合发展新样本

那场比赛双方在常规时间内战成0-0，加时赛中C罗的射门造成门将脱手，夸雷斯马补射完成绝杀，葡萄牙最终1-0晋级。

技术竞赛2.0：三大战场 如果说2022至2024年的主旋律是扩产竞赛，那么2025至2026年已经切换到技术竞赛。

算力供给端呢？英伟达最新的高端卡今年很难大批进入国内市场，存量供给几乎没怎么增长。

9、真要买？法国第一边锋“只想去皇马”，拜仁开价2亿穆帅会满足么

四年前卡塔尔世界杯半决赛，法国曾2比0淘汰摩洛哥。

面对如此丰厚的报价，29岁的拉菲尼亚始终态度明确：留在巴萨，留在弗里克麾下，继续踢西甲和欧冠。

10、推广

而客户可能只租用几周甚至几天。

去年夏天米兰以约3800万欧元（含奖金条款）的总价将他从布鲁日带到圣西罗，俱乐部对这笔交易寄予厚望，阿莱格里也从赛季初就明确将他定位为莫德里奇的副手，意图是让这位年轻人跟着大师学习，逐步完成接班。

1、“两优一先”风采录丨深耕党务守初心 融医惠民显担当——卢燕云

阿根廷人的那股永不言败的劲头，一直支撑着他们。

2、没症状也不能掉以轻心，当心这个一类致癌物！

贝林厄姆同样状态回暖，在经历伦敦诊所的康复治疗后，他彻底摆脱伤病困扰，重拾快乐足球，目前已贡献4球。

3、加长版中伏来了！重庆杭州领跑头伏高温榜 中伏哪里还将继续热？

瑞幸咖啡马来西亚门店突破120家 瑞幸咖啡马来西亚市场门店总数突破120家，其第120家门店已于7月18日在柔佛州首府新山开业，标志着瑞幸咖啡正式布局马来西亚南部市场。法媒丨米兰有意他，将尝试截胡流浪者”图赫尔回忆道，“赛后他表示问题不大，能够恢复，并非结构性损伤，只是神经性疼痛。

4、一汽悦意08上市，9.99万起，央企家用轿跑严选

市场为什么低估了成功概率，还是低估了事件的影响幅度和传播速度；另一种可能，市场是不是看见了风险，只是自己没有找到隐藏的风险。

5、女星片场吃小药丸“抗疲劳”？医生警告

优必选2026年的出货目标直接拉到了5000台以上，宇树喊出了1万至2万台的口号，智元则在2026年3月提前实现了第10000台下线。

6、喜迎八一，情暖老兵！沙跃社区“拥军周”系列活动开启

Mozaic 4+正是在解决这一问题。

2026年初，谷歌发布Gemini Embedding 2，将文本、图像、音视频乃至PDF文档融合进统一向量空间，实现跨越五大模态的直接检索。

据悉，米兰已经与波切蒂诺就一份每赛季税后最高可达500万欧元的合同达成了原则性协议。

7、三分种七分管，大理海东终于让95.4%的绿色“活”了起来

可到了用户手里，感知却是另一回事。

于是他求助了。

8、浅论：巴西足球梯位排序

而其他渠道则的价格则低至500多元。

谷歌在5月I/O大会上预告Gemini 3.5 Pro将在一个月左右发布，但此后因模型未达到内部性能目标而推迟上线。

特斯拉正在做的，已经不是“多造几款车”，而是试图把汽车、能源、算力、芯片和劳动力装进同一张资产负债表。

加纳与英格兰、克罗地亚、巴拿马同组，这是一个名副其实的死亡之组。