富勒姆、水晶宫，甚至伯恩茅斯，都不能再因为教练席上坐着一个熟悉的身影就高枕无忧了。

1、kk体育 阶梯医疗、智冉医疗、格式塔科技、脑虎科技等都在加大融资力度、推进临床试验，加快产能建设，为IPO做准备。

到了2023年底，双方签了一份《债权债务确认协议》，把朱双单欠公司的钱、公司欠朱双单的分红款和股权转让款“一笔勾销”。kk体育俱乐部认为，他们已经提交的报价体现了公允的价值，无意参与任何形式的竞价战。

2、新光环翻车！买了不许玩 玩家气坏要退款 微软回应

但即便如此，为了英格兰队的世界杯梦想，他依然选择将自己钉在球场上，为三狮军团的腰能够更加坚挺。

3、Pick Yiwu德国站：钢铁驼队链接双向机遇

故事主人公伯里比别人更早看见了房地产泡沫，而且找到了泡沫破裂的可能时间。

4、我在大街上哭了个够。

"我不确定这是否百分之百准确，但我的感受是，大约2010年前后，德国足球圈达成了一个共识——必须去学西班牙人和巴萨的那套'传控'，因为当时他们就是标杆。

5、GEO行业案例分析：悠易科技

2026年7月初安卡拉北约峰会上，特朗普的措辞达到了顶点："我不想和西班牙有任何关系。

葡萄牙在1/16决赛对阵克罗地亚，这场比赛打得相当艰难，全场数据显示，葡萄牙射门15比13略占优势，但射正3比6反而不如对手；西班牙的1/16决赛则赢得轻松许多，3比0完胜奥地利，全场完全掌控节奏，射门23比5，射正10比0，各项数据全面碾压。

资本开支 57.89 亿美元，是去年同期的 2.4 倍。

6、第12批药品集采开标倒计时！官方划重点，现场手把手帮企业解读集采规则

莫德里奇带走的是技术支点和比赛节奏管理能力，拉比奥特带走的是身体对抗与后插上输出，福法纳带走的是覆盖面与传威胁球的能力。

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。

7、戴军妈妈上海厂长，瞿颖妈妈文工团舞者：母亲的格局养出松弛儿女

摩根大通将四季度目标从6000美元大幅下调至4500美元。

AI 会继续扩大模型供给，但它不能替拓竹自动解决需求。

8、图赫尔：赛后总有几百万马后炮球迷，我什么都不后悔，愿担全责

谷歌云收入同比增长82%至247.68亿美元，运营利润暴涨212%，向市场证明了AI投入已经开始产生真金白银的回报。

他先后集齐了国内几乎所有“大厂”的顶尖人才计划Offer，却选择了加入这家初创公司。

这也是同为体育用品领域的头部品牌公司，耐克、阿迪的毛利率长期低于50%，但安踏的毛利率不仅超过50%，而且常常保持在60%上下的一大原因。

9、事发上海！女子几度哽咽：差一点要多等11年才能领到养老金，还好你们千方百计找到了我

回顾索博斯洛伊的红军生涯，简直是一部从“高价引援”到“绝对核心”的逆袭史。

本届世界杯小组赛末轮对阵加纳，正是莫德里奇的角球助攻帮助弗拉希奇完成绝杀，展现了他关键时刻的大心脏。

10、政文有请丨冯骥才：我人生接过的最后一件大事是教育

巴菲特在2008年金融危机中投资高盛就是类似的凸性投资。

法国内政部长努涅斯也表示该言论“完全不可接受”。

1、不管奥德赛评价如何，查理兹·塞隆都赢了！

一家IP公司的持续演进 王宁在股东大会上表示，现阶段最重要是积累泡泡玛特对乐园运营的能力，包括对内容、体验和复杂运营细节的理解。

2、Kimi K3，全球开源第一！

7.17 WAIC UP！AI三极夜话 现场照片 困局：“赚钱难”是共识 尽管 Jobright.ai 的年经常性收入（ARR）已超过 700 万美元，并已实现盈利，正在向 1000 万美元 ARR 的目标迈进，郑玉典依然认为：“赚钱难是 AI 创业的本质问题之一。

3、CBA狂野一日！2笔重磅交易诞生，6人完成签约，徐杰林葳互换被辟谣

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。张奇风景油画写生自2022年冬天梅西率领阿根廷夺得世界杯冠军以来，C罗却在俱乐部与国家队的处境便屡遭波折，他在采访中多次强调欧洲杯的含金量不亚于世界杯，世界杯不是他的梦想。

4、美媒模拟火箭交易！7换2得到杰伦布朗 小贾成交易主要筹码

一方面，这代表了中国模型已经能够追平甚至赶超美国的顶尖模型；另一方面，也代表了开源模型和闭源模型之间的能力差距进一步缩小。

5、“十四五”时期海西州产业经济量质齐升

目前，球队已有普利西奇和恩昆库，但为了应对多线作战，俱乐部需要再引进一名前腰。

6、CBA休赛期动态速递！赵继伟担任新一届中国男篮队长，辽篮放弃范子铭，张镇麟想帮上海创造王朝，怀特塞德社媒反击

AIDC储能需求的核心驱动力，是AI算力与电力之间正在发生的“结构性断裂”。

所以它的真正战场，可能不是与真宠物争夺主人，而是在那些真实宠物无法触达的场景中，例如办公室、出租屋、旅行途中，扮演一个轻量级的、永远在线的解压神器。

在这场较量中，法国队用一场极具统治力的胜利，向全世界展示了本届世界杯最强球队的恐怖实力。

7、毛坦厂2026高复生大丰收：最高分655，89人涨分超150，最多涨302

道路两旁，身穿红黄两色球衣的球迷汇成一片海洋。

《每日邮报》称，罗杰斯的英格兰队友斯通斯下赛季有可能与他在斯坦福桥并肩作战，切尔西正在“考虑引进”这位前曼城中卫。

8、万宝龙明星系列尼古拉斯·凯世计时腕表 巴黎赛马特别款全球821枚

阿浩找到公司交涉，才把这笔钱减了下来。

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%。

互动体验区开展无人机飞行嘉年华、低空竞技嘉年华、"低空赋能・具身智能" 青少年智能救灾创新展示等活动。

这个行业有过众筹热、创客热和开源硬件热，但长期停留在小众圈层。