这名科索沃国脚预计今夏离开德甲，尽管吸引了欧洲多家俱乐部的目光，他本人已将候选名单缩减至两家。

1、人人体育 2026年世界杯，正在成为库巴西的一届"成人礼"。

面对点球失手的巨大压力，他没有丝毫怯场，而是用最霸气的方式完成自我救赎。人人体育意甲末轮争四失败后，米兰老板卡尔迪纳莱火速行动，一口气炒掉了包括管理层和主帅在内的4人。

2、“水电双计”赋能智慧治水 民乐精准节水护航粮食丰收

旭阳新材做到了大部分制造公司做不到的：顶着原材料涨价压力，净利润暴增并超过营收增速。

3、皇马向尤文推荐马斯坦托诺，尤文有意盖塔诺，科莫利即将下课

从门德斯，到库尔图瓦，到如今的萨利巴，西班牙队在淘汰赛阶段接连遇到了对手核心球员因伤离场的情况。

4、曼晚：在M费加盟热刺后，曼联中场的可选目标有哪些？

从光互连、光交换到光计算，光对AI算力基础设施的影响愈发显著。

5、王毅会见菲律宾外长拉扎罗：对菲方人员粗暴行径表示强烈抗议，当前中菲关系站在十字路口，何去何从需要菲方作出正确理智选择

法国队输在了中场被锁、战术被克、防线失误以及锋线哑火，更输在了失去了格列兹曼、博格巴、坎特这些能在关键时刻稳住阵脚的“阵眼”。

加油，梅西！加油，阿根廷！北京时间7月20日凌晨3时，2026年美加墨世界杯的终极悬念将在美国纽约的大都会人寿体育场揭晓。

但最终的结果是：Anthropic找到了生产力这条线，将愿景、技术、组织文化和商业模式完美串联起来了。

6、世界杯冠军的另类奖励：鲁伊斯获85公斤番茄，加维68.5公斤

吉达国民的直接竞争对手利雅得新月，则正在敲定今夏最重磅的交易之一。

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。

7、狼队前锋回应罢训传闻：报道不实，我一直很职业

冬季转会窗口期间，费内巴切曾在时任主帅泰德斯科（二人曾在莱比锡红牛共事）的推动下尝试引进恩昆库，但米兰方面标价3700万欧元附加浮动条款，最终交易告吹。

乌拉圭首战前，阿劳霍训练中肌肉撕裂，此后贝尔萨的球队小组出局，他一分钟没踢。

8、无错判！天津津门虎申诉被驳回，足协：谢蒂内明显动作越位干扰

从技术特点来看，阿拉伊贝戈维奇盘带能力出色，擅长在边路利用节奏变化和假动作突破对手的防线。

从甘肃的严寒到广西的洪涝，从地震到水灾，这支来自南美的球队用实际行动证明，他们对中国球迷的爱，从来不是停留在口头上的客套，而是记在心里、落实在行动上的牵挂。

而阿森纳对罗杰斯和阿尔瓦雷斯的关注，无疑为这场大戏又增添了一层看点。

9、哈里的亲密朋友打破沉默，揭开王子会见查尔斯国王后的真实态度

十六年后，西班牙再度站上了世界杯决赛的门槛。

而将需求与供给的张力推向顶点的，是全球结构性缺口的确立。

10、中超再现奇景：北京国安进球被吹还被判点球，马宁太勇了！

不过，巴萨方面并不认为这样的有利条件能延续到本赛季之后。

西班牙小组赛2胜1平以H组头名稳健出线。

1、乌克兰命根被炸！泽连斯基五味杂陈：再一次证明，普京的路走对了

尽管在队内射手榜上暂以5球落后于哈里凯恩，但贝林厄姆在攻防两端的全面表现，让他再次跻身世界顶级中场行列。

2、今夏第1签！安德烈·桑托斯加盟曼联&公布球衣号码

厂家把质保期定在缺陷大规模暴露之前，把风险转移给了高频使用的营运车主。

3、VR导览扫码识途、地铁5号线直达北门，南京五台山体育场本周六再迎苏超

随着Kimi K2.6和K3.0的发布，月之暗面又重新成为了一家炙手可热的国产大模型公司。数亿身家老板才是NBA真正操盘手 媒体却集体选择性失明？皮尔斯的建议，正是基于对淘汰赛阶段体能分配与伤病管理的深层考量。

4、真正杀死埃及的，不是国际足联，也不是球王光环，而是2比0魔咒

5.8倍不是全部 三巨头的PE都在4到8倍之间，这不是巧合。

5、最后一舞！39梅西世界杯卫冕失败 3进决赛1冠2亚

沿着这条路，他们先后构建了Fysics物理引擎、MoziSim具身仿真训练平台、OmniFysics全模态物理AI基础模型、Fysiverse物理世界模型、 FysiData物理 AI 数据工厂和FysicsWorld/Eval评测基准等，形成了从引擎到应用层的完整技术栈。

6、1972款CB750翻新后里程仅2100英里，真实里程成谜

为什么？ “以前投资亏了，可以说是市场风险，创业九死一生。

抉择：做深场景还是做广平台？ Agent商业化，到底是做深场景，还是做广平台？哪种模式更可持续？商业抉择背后的逻辑依然需要回归到市场需求。

西班牙前两轮1胜1平积4分领跑小组。

7、选秀探花先回西班牙夺冠再赴美，19岁法姆：适应WNBA其实很容易

这并非足球场上首次因马岛问题引发风波。

只有长期深耕一个领域，积累行业 know-how，理解工作流的每一个细节，才能建立用户愿意付费的价值。

8、“玉门珍好”亮相夏季达沃斯论坛

英格兰方面，赖斯太累了，应该可以轮换休息了，凯恩和贝林厄姆6球并列射手榜第三，也有望出战，搏一搏金靴机会。

接下来的几周，将直接决定阿尔瓦雷斯下赛季是否会身披红蓝战袍。

不过，有市场分析认为，2017年开始实行的DTC（直面消费者）战略，则是导致耐克价格体系失控的根本性原因。

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。