作为泡泡玛特城市乐园推出的全新限定演出，《就在此刻！LABU！》一口气集结出了七只LABUBU，这也是LABUBU家族新朋友海盐LABUBU和Pepper LABUBU在乐园的集中亮相。

1、kk体育 六场比赛英格兰打入13球、失6球，场均控球率57.3%，传球成功率88.8%，高位逼抢体系下的中场控制力出色。

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。kk体育其次是端侧能力的物理天花板。

2、教师悦读成长计划｜孙威：数学课堂里的定理与温度

第55分钟，安东尼·戈登打破僵局，英格兰1比0领先。

3、乳腺结节3级只让观察？半年黄金期3件事必须坚持，2件事千万别乱做

天然GLP-1在血液中的半衰期不到2分钟，要开发成药物，首先要解决延长半衰期的难题。

4、世界杯八强启示录，老的老少的少，你觉得哪两支球队能进决赛？

引援方面，米兰目前处于观望状态，但并非没有目标。

5、笑做“不倒翁”，晚年更从容！老年人防摔指南快收好

通过AI音乐和AI语音的双轮驱动，趣丸科技正在成为文娱产业的“新基建”提供商。

状态对比：三狮稳健VS格子起伏 英格兰近期状态极其稳定，近10场正式比赛取得7胜2平1负的战绩，胜率高达70%。

鲁尼在BBC的评论直截了当："你不能进了一个球就把球权拱手相让，把打进第二球的机会也一起扔掉。

6、体重管理

最初是假设期：投资者看到可能存在错估，但证据还不完整。

进攻端完全以边路驱动，健康的阿芳就是边路自由人，想怎么冲就怎么冲，右路也能提供稳定的传中，中路戴维负责抢点终结。

7、克鲁伊夫缔造了巴萨梦一，而后的梦二与梦三也在此基础上随之而来

米兰近6轮比赛累计打进3球、丢掉9球，只赢过维罗纳，赢球时本就磕绊，一旦落后便很难追回，直接把最后一层容错空间打没了。

球队最大优势在于边路冲击力，维尼修斯小组赛4球1助攻状态火热。

8、实习医生叫板高年资医生被"退科"！10张记录曝光"连环派活、当众训斥"真相！没有工资，到点下班有错？研究：实习医生是最不幸福的群体

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。

想要跨进决赛，英格兰必须拿出最好的状态。

最近又多了一个更漂亮的词：奥德赛时期。

9、哈兰德止步2026世界杯八强，青梅竹马女友深情告白治愈全场

从基本面来看，天齐锂业业绩已进入集中兑现期。

高质量、高效率、低成本三者难以兼得，构成了一个“不可能三角”。

10、世界杯16强定6席！法国3-0晋级，27岁巨星18场进18球，争第2冠

主教练法埃主打4-3-3阵型，尤以锋线储备充足，扬·迪奥曼德是德甲赛季最佳新人之一，阿马德·迪亚洛在曼联证明了自己，后防线同样板凳深厚，恩迪卡等顶级中卫甚至只能打替补。

报道称，巴萨的立场很清晰——费兰的估值是五千万欧元，这个价格没有商量余地。

1、为什么有些人注定只能陪你走一段路？

对于志在带领三狮军团走得更远的他而言，如何在高压环境下保持竞技状态与情绪稳定，仍是成长路上必须面对的课题。

2、从甩锅到争功，摘桃子永远立于不败之地！失败者联盟打赢正名之战

提到新鲜零食，用户首先想到的是专门店、烘焙连锁，便利店天然缺乏专业心智。

3、爸爸打儿子的残酷真相：只需微微出汗，法国的常态是摩洛哥的极限

此时最容易出现大幅盈利，也最容易把已经兑现的收益错认成仍然存在凸性。夏天没必要买太多衣服，准备一两条黑色短裙，轻盈舒适又减龄拓竹重新评估后发现，这个冷门市场同时具备几个条件：规模不算大，但用户体验很差；产品足够复杂，有技术门槛；传感器、算法、运动控制和供应链能力，已经提供了“把产品再做一遍”的机会。

4、沐清风 游龙江 沐清风 游龙江｜以林为底绘盛景 文旅赋能兴林区

北京时间7月5日凌晨1点，2026美加墨世界杯首场1/8决赛将在休斯顿体育场打响，加拿大迎战摩洛哥。

5、阿根廷变了！半决赛前封闭训练，斯卡洛尼或调整3人，梅西将首发

作为全球汽车行业龙头，大众早在2016年就开始大幅转向电动化，2020年，大众又成立了软件子公司CARIAD，主要开发智能驾驶、车载操作系统、车规级软件等产品。

6、辽宁铁人财务告急资金暴雷，青岛海牛或成为大赢家，保级又稳了

美国IRA法案对动力电池和储能系统的本土化要求持续加码。

克罗地亚想要取胜，必须依靠远射打破僵局，或者通过定位球由格瓦迪奥尔这样的强点制造混乱。

那么，在厂商纷纷押注的当下，什么是真正的世界模型？智象未来创始人梅涛对这个问题有一个清晰的界定：一个真正的世界模型必须同时具备三个能力，表达世界、推演世界、构造世界。

7、半决赛法国vs西班牙前瞻，顶级锋线对顶级中场！决赛的提前遇演

按照她的说法，一家人坐在飞机里等了六个小时，前面还排着30架等待起飞的航班。

又帅又能打，关键还有一颗忠诚且强大的大心脏。

8、绿茵魔人哈兰德带领挪威队，走出巴西雨林，安切落蒂未能挽救巴西

而这道知识门槛，正被大模型智能体拆除。

首先是埃斯图皮尼安，米兰的签约成本为1700万欧元，但厄瓜多尔国脚在联赛中乏善可陈，本赛季唯一的高光时刻是在对阵国际米兰的德比中打入制胜球。

一场改变特斯拉基因的豪赌 从战略上看，马斯克的决定是清晰且决绝的：将特斯拉从一个卖车为主的制造商，转向一家引领物理世界AI的公司。

据塞尔电台记者桑蒂·奥瓦耶透露，巴萨方面仍有提升报价的空间，但前提是通过与表现挂钩的浮动条款来实现。