在经济待遇方面，萨拉赫的年薪约为1000万欧元，外加200万欧元的浮动奖金。

1、英亚电竞 热身赛数据显示，英格兰场均控球率达到69.1%，场均射门17.6次，被射门仅6.2次，攻防两端展现出统治级表现。

在俱乐部层面，尽管他身处美职联，但这座即将到手的世界杯冠军足以抹平一切联赛平台的短板。英亚电竞同样处于待定状态的还有从亚特兰大租借回归的穆萨，阿莫林打算利用这期集训对他进行全面评估，再决定是留用还是再次外租或出售。

2、泳池发现呕吐物，合肥市游泳馆暂停营业，工作人员回应：系个人行为，对市民作了补偿，再游的市民每人再补一张票_网易订阅

无论今年夏天谁会当选米兰主帅，引进靠谱的正印9号都会是优先事项。

3、坐标北京、全职+实习，ECO氪体内容招聘持续进行中

他迅速将资源向GLP-1倾斜，全力推进替尔泊肽的研发。

4、排面!西班牙队凯旋国王携美丽公主皇宫接见,200万民众参加夺冠巡游

每次生成都是孤立的，角色不连续、风格不稳定、镜头之间没有逻辑关系。

5、每天 “摇胯” 100 次，骨盆正了，假胯收进去了，双腿又细又直

加时赛仅仅开始3分钟，英格兰队便打破了僵局。

罗梅罗本人倾向于前往西班牙踢球。

阿德耶米将成为今夏"补强行动"引进的第二名前锋，旨在按照主帅弗里克的要求提升球队进攻火力。

6、1945年，毛主席不让陈光当中央候补委员，陈光：我哪点对不起你？

WAIC 2026现场，新款天谱乐AI吉他重点展示了“AI即兴演奏”，这是今年推出的核心交互玩法。

他说："我认为进球是最不重要的。

7、长鑫科技股价管控“小作文”先于上市登场，谣言为何密集出现？七大拆解

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。

加拿大：东道主的速度风暴 作为东道主之一，加拿大FIFA排名第30位，全队身价约2亿欧元，是近年来进步最快的中北美球队。

8、中国足球永远赶不上日本？董路：他们有协作精神+匠人精神+保障

作为传统足球强国，巴西队从来不缺星光，但在这届世界杯上，他们过于依赖球员的个人能力单打独斗，缺少整体传控和防守协同。

要放走拉比奥特，价码大约在2000万欧元。

更让利物浦球迷欣喜的，是他骨子里的领袖气质。

9、关注｜冠军阵容齐聚现场，YONEX2027新品发布合作伙伴会议举行

他的防守没有戏剧性。

WAIC 2026期间，天谱乐大模型上线了V4.7，让AI生成的音乐变得更容易控制，也更适合继续修改。

10、速度与激情燃动周末 2026 FE上海站圆满收官

本文资料来自长鑫科技招股书、发行公告、发行结果公告、业绩预告、SemiAnalysis报告、集邦咨询及多家券商研报。

一位服务器厂商高管直言：目前公司和互联网公司客户谈的都已是2027年、2028年的供货。

1、意媒：国米中场马索林肌肉疲劳，继续休息等待复查

博睿康选择的科创板第五套上市标准允许尚未盈利、但拥有核心技术与较大市场空间的企业上市，要求预计市值不低于40亿元，主要业务或产品需经国家有关部门批准并取得阶段性成果。

2、中国男篮最强“暑假工”！15投砍23分6板4助，郭士强终于盼来救星

程越把自己描述为被卷进这场竞赛的人，而不是主动参与者，“不抢人，马上死，抢了人如果烧不出量产数据，也不一定能活。

3、京东工业携手上游企业发起首个工业大模型生态“百川计划”

如果诺坎普的大门最终没有打开，莱比锡将是他的另一个选择。超级小年！美媒重排24届新秀：扎克-伊迪冲到第四，卡斯尔登顶最成功的两笔引援是莫德里奇和拉比奥特，此外在出售球员方面也做出了一定成绩，赖因德斯、佳夫、特奥、奥卡福基本上都卖到了彼时的市场价。

4、杜锋合同到期，徐杰征战德鲁联赛，广州要求重新沟通徐昕租借问题

德尚只是一位躺在功勋簿上的保守教练，没有与时俱进的战术修养以及临场调度能力。

5、万亿Token调用量验证，PPIO如何打造新一代智能Token工厂？

Dario在自身的职场经历中意识到，一群极聪明、极自我的人聚在一起，会很快形成「小团体、山头」，因此Anthropic将文化、价值观和组织建设也作为研发体系的一部分进行打造，致力于达成最广泛的共识，消除滋生山头的土壤。

6、卖球衣救子的门将，把德国扑出了世界杯

为什么？ “以前投资亏了，可以说是市场风险，创业九死一生。

退出并不一定意味着一次清仓。

模型不再只是回答问题，而是在“干活”。

7、无问芯穹在WAIC发布“前店后厂一中心”Agentic Infra战略，用AI提效Token生产

执教曼城期间，他率队斩获6座英超冠军、3座足总杯及1座欧冠奖杯，建立了辉煌的蓝色王朝。

对中创新航来说，这是一场商业模式的拷问。

8、杜锋续约谈判不顺利，广东队如果更换主教练，谁最合适？

曼联确实比利物浦好得多。

B费首轮触球96次，传球77次成功率87%，依然是中场绝对核心，但面对密集防守时传威胁球的空间被压缩。

如今并列排在榜首的，是西班牙前锋亚马尔和挪威中锋哈兰德，两人的身价双双上涨2000万欧元，来到2.2亿欧。

责任有归属，分工有生态。