最具代表性的例子也是两个，首先是去年夏窗花费3700万欧元从切尔西引进的恩昆库，他曾被寄予厚望能扛起锋线进攻大旗，结果整个赛季下来，只在各项赛事贡献了7个进球和3次助攻，其中3粒还是点球。

1、亚搏手机 后来校招，他拿到的 offer 不比那些大厂实习生差。

adidas户外线启用全新中文名「山川里」 7月21日，adidas宣布旗下户外线正式启用全新中文名称「山川里」，提出「自由流动」的新理念，并同步发布品牌概念片。亚搏手机十年前还在温饱线上挣扎的一家小公司，如今单季净利润就超过57亿元，毛利率从31.6%一路升到了45.5%。

2、今年最流行的5款短发，太适合夏天了！

否则，人会越来越擅长解释自己，却不一定更擅长生活。

3、断粮危机解除！俄军重开南部大动脉，克里米亚有救了

英格兰又一次倒在了大赛的最后关口。

4、3年赚46亿，杨幂喊出一个安徽富豪

但劣势也同样存在，比如：分层架构意味着链路更长、调优更复杂，端到端效果未必比直接训练VLA更好。

5、马丁内斯携比利时、葡萄牙两代豪华阵容，三度折戟世界杯

3年的时间里，伯恩茅斯在伊劳拉的调教下排名接连攀升，从接手前的第15名到第12名、第9名，又到本赛季的第6名，率队取得历史性欧战资格（欧联杯）。

那一刻，英格兰手握需要守护的优势，阿根廷则被逼入了本届赛事最难受的境地。

他们面对的又恰好是一个旧人生进度表逐渐失效的阶段。

6、防蓝光眼镜、护眼灯、叶黄素护眼？真不如把手机、电脑的字调大！

红熊AI 2024年成立，2025年营收已达2.5亿元，今年6月便突破去年全年水平。

法国队身价最高，球星个人能力最强，但不代表球队整体实力最强，因为德尚以及没有顶级中场就是高卢雄鸡的两大致命短板。

7、​马竞夏窗财政吃紧，巴萨静待阿尔瓦雷斯转会迎转机

据《队报》报道，这位25岁的后卫大概率将接受手术治疗，并因此缺席下赛季大部分比赛。

终场哨响，19岁的亚马尔站在球场中央，刚刚过完生日没几天的他，就此成为历史上最年轻的"世界杯+欧洲杯"双料冠军得主。

8、拖延、冲动、总想辞职，可能是ADHD！

如今，法国（15.2亿欧）、英格兰（13.6亿欧）和西班牙（12.2亿欧）均已顺利挺进四强。

资料显示，截至目前滔搏拥有约9290万累计用户，其深度下沉的线下零售网络，已成为其抵御此次冲击、维持行业地位的最大筹码。

能源和服务业务也贡献了创纪录的利润，成了财务报表上为数不多的亮点。

9、20强晋级！第十一届成都市科普讲解大赛火热开赛→

此外，进入7月，科技公司集中披露业绩预告，部分头部公司业绩持续高增，但也有部分公司业绩表现不及市场预期。

至此，德拉富恩特的球队继2010年南非之后，再度站上世界之巅。

10、百日千万云端送岗 信阳市开展省市直播带岗联播活动

显然莱奥也不是中锋，但他是阿莱格里在几番权衡后不得不扶正的一个。

集群规模越大，调度、监控、计量计费、自动化运维和性能优化就越值钱；异构资源越多，越需要专业平台帮用户屏蔽底层差异；行业客户涌进来之后，还需要更懂业务的服务商完成模型部署和应用迁移。

1、裙子+玛丽珍鞋、背心+阔腿裤，今年夏天最流行搭配，谁穿谁好看！

核心是将量化做到极致：从模型参数优化、硬件适配到场景化训练，通过自研非传统Transformer架构、定制化奖励函数与强化学习算法，实现低成本推理。

2、瑞士是否与阿根廷实力相当？扎卡：说实力相当都算是客气了

挪威痛失好局，瑟洛特错失良机成转折点 下半场易边再战，英格兰队连换两人试图加强进攻，但挪威队的防守依然坚韧，并多次制造杀机。

3、“干它，就可翻盘！”当35岁医生遭遇晚期癌症

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。“世界药房”印度，正被中国一家面粉厂死死掐住脖子他很聪明，但毕竟只有19岁。

4、太狗血：许家印的“忆苦思甜”饭！

每一道关税壁垒都在抬高出海成本，倒逼企业从“产品出口”转向“产能出口”。

5、一图看懂丨科技工作者科普创作指南

对于这名即将年满32岁的球员，马竞可能会满足于一份低于1000万欧元的报价，不过对于米兰来说薪资是最大的问题，希门尼斯的税后年薪高达600万欧元，需要接受大幅降薪。

6、点球罚丢只是热身？姆巴佩成功破纪录，法国踏平摩洛哥挺进四强

利桑德罗·马丁内斯是上半场唯一吃到黄牌的球员，并在半场结束前被换下，不过在此之前，他赢得了所有抢断、五次地面对抗、两次夺回球权，外加一次拦截。

这一现象深刻地揭示了一个足球真理：在瞬息万变的绿茵场上，冰冷的数字永远无法完全丈量一支球队的真实战斗力。

在米兰新的管理架构下，阿莫林获得了更大的经理式权力，这意味着他可以指定自己想要的球员，只要财务上可行，俱乐部就会尽力满足。

7、想靠生长激素“拔个子”？医生：滥用风险大，需进行专业评估

此外，除屋顶安装外，诺坎普周边区域在此期间也将同步进行其他改善工程。

在梅西作为人墙一员按照要求后退时，当值葡萄牙主裁判皮涅罗在指挥站位时，展现出了极其强硬且急躁的态度。

8、美国科技公司公开信提人工智能可�...

但27岁的他，已经在三届大赛中展现了从“天才”到“领袖”的蜕变，他学会了包容队友、尊重对手，也懂得了足球世界里除了输赢，还有对体系的敬畏。

刚满19岁的亚马尔也书写足坛全新历史，成为史上最年轻同时斩获欧洲杯、世界杯双料冠军的球员；同出自巴塞罗那拉玛西亚青训体系的年轻中卫库巴西，斩获本届世界杯最佳新人奖项，两名19岁小将一同站上世界之巅，缔造属于青春的传奇纪录。

第一种，每玩一次，有90%概率赚1块钱，但有10%概率亏20块钱。

但早期 VC 的常规退出周期约7年，月之暗面2023年成立，算上前期筹备，不少老股东已到该退出的节点。