2020 年夏天，莱比锡以 3600 万欧元的价格从萨格勒布迪纳摩签下当时还名不见经传的克罗地亚中卫。

1、乐鱼电竞 接下来，姆巴佩将在三四名决赛后返回皇马。

莫德里奇原本是打算随队再踢1年，前提条件是能够参加下赛季欧冠。乐鱼电竞无论是Robotaxi的单车经济模型，还是Optimus机器人的量产时间表，都还充满不确定性。

2、“你以为你是谁？”被孤立的挪威足球

例如2023年发布的小鹏G6全系首发搭载中创新航电池，而且还是其独家电池供应商，为其配套磷酸铁锂和三元锂电池两个版本。

3、纽卡3000万镑锁定20岁中场班巴，今日体检填补托纳利空缺

从戈登进球到阿根廷反超，英格兰的控球率只有12%，这足以说明他们招来了多大压力。

4、你好，安全生产月！

即便迪马基看到了“未来”，但他却没有能力将之变为“现实”。

5、深夜百架乌无人机袭击莫斯科，有中国人受伤，中方对俄提两要求

另据Omdia研究表明，2025年全球微短剧收入达到110 亿美元，预计2026 年将达到140 亿美元。

奇克的问题在于薪资负担较重，税后400万欧元的合同要到2027年才到期，目前有来自英格兰和土耳其的一些兴趣，但真正的实质性报价尚未出现。

这笔钱最后是怎么付的？ 招股书披露，部分分红款项直到2024年才完成支付。

6、一笔交易、5次签约，总计花费4.5亿美元，湖人球迷满意佩总操作吗

当然，这笔交易也不是没有疑问。

相当于一个合格的人刚提离职，楼下就有5家公司拿着合同本在堵门。

7、陈妍希姐姐到场追星张凌赫，称“得了一种见了张凌赫就会好的病”

总运营费用 43.53 亿美元，同比增长 47%。

“网约车之王”的底盘如果塌了，埃安连翻身的本钱都没有。

8、6对8还敢先动手，菲军承认被中方海警揍惨了，有人脑袋被“开瓢”

费尔明的康复进度在过去几周明显加快，如今已能在弗利克和医疗团队的密切监督下参加全队合练。

本届比赛期间，他曾超越克洛泽的纪录，独占榜首，直到姆巴佩在三四名决赛中打入进球，以22球对21球在最后时刻完成反超。

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。

9、高考遇上生理期？别慌，这份调经指南请查收

埃及总身价1.16亿欧元，只有阿根廷的八分之一，世界排名第24位。

2016年，他因在商业收入显著增长的情况下仍提议提高球场票价而备受批评，导致上万名球迷抗议，俱乐部老板随后发表声明致歉并撤销了该决定。

10、火箭逆转太阳 最多落后21分少罚23个球 火箭靠什么逆转太阳

随着西班牙队的晋级，半决赛的对阵也正式出炉。

结语 综合双方实力、状态、战术特点分析，东道主主场优势明显，但后防核心缺阵影响巨大，韩国核心球员状态火热，作为本组最具竞争力的两支球队，打平各取一分是最符合双方利益的结果。

1、男篮官宣王浩然、曾凡博离队，又是伤病，他才23岁啊_网易订阅

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。

2、中超综合

高工锂电判断，2026年全球储能电池出货量有望落在800至1100GWh区间，同比增长30%至70%。

3、转会还是续约？郭士强弟子顶薪到期，场均8.6分，目标京城豪门

相对于天齐锂业等动辄巨亏或暴增几十倍的盈利，已算平和。年度最秀操作！森林狼还能这么玩？因此，瞄准AI宠物市场的企业们也深知情感才是这笔生意的核心。

4、火箭对阵勇士前瞻 库里挑选打火箭复出 到底有何弦外之音

面对这一突发状况，国际足联迅速做出了回应。

5、普京一声令下，俄军展开报复行动，不到24小时，乌克兰传来噩耗

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。

6、莎头3-0横扫“神雕侠侣”！混双四强全是种子，国乒面子保住了

这是继去年发布“AI for Science”平台后，企业AI创新布局的又一重要里程碑。

科莫与尤文同积68分，但法布雷加斯的球队本赛季双杀后者，因此排在前面位列第5。

从历史交锋来看，两队共有4次交手，哥伦比亚2胜1平1负稍占上风。

7、（长江十年行）从“一把捞网”到“机械赋能” 重庆126公里水域的清漂之变

阿莫林认为希拉是更出色的持球推进者，且速度与侵略性更符合高位防线的要求，甚至巴尔泰萨吉去打中卫在阿莫林看来也比加比亚合适。

最终结果就是电芯鼓包、安全阀被冲开、电解液泄漏、铜排腐蚀。

8、霸总!罗梅罗颁奖拒绝和特朗普握手,却与墨西哥总统加拿大总理握手

据天空体育报道，目前伊布关注到的两个候选人是伊恩·艾尔和李·康格顿，拟分别招揽为首席执行官和体育总监。

无论最终谁能挺进决赛，这场矛盾大战都将成为本届世界杯最经典的篇章。

并且店内还配备有淋浴设备等服务跑者的基础设施。

补贴退了，门店却越来越密，好位置也早被前面的人占完了。