国务院：加快人工智能在全民健身场地设施、赛事活动、健身指导、宣传推广等方面的应用 7月23日，国务院印发《全民健身计划（2026—2030年）》，其中提出，运用人工智能赋能全民健身发展。

1、乐鱼登录 很多客户一年采购的容量不止1EB，节省下来的成本非常可观，这也是他们越来越关注大容量硬盘的重要原因。

如今，当初那个在梅西怀里的小婴儿，已经成长为巴萨一线队的核心，并在2024欧洲杯以及本届世界杯上大放异彩。乐鱼登录从目前的进展来看，这位德国经理人对于接受米兰的邀请、迎接意大利足坛的新挑战表现出了非常积极的态度，体育总监哈东也将一起加盟。

2、成都“一刻钟便民生活圈”再添新成员，盒马超盒算NB首批6店开业

（关于AMIRO觅光，更多内容回顾：精准护肤时代，谁在追问确定性答案？） 丝芙兰上海向阳旗舰店焕新升级 近日，丝芙兰上海向阳旗舰店完成焕新升级，丝芙兰全球总裁兼首席执行官 Guillaume Motte 与大中华区总经理丁霞共同出席。

3、文体开花两不误！这5人不仅打NBA，还拍电影，一人曾与李小龙合作

挪威典型的北欧球队，但他们有着矮个子边锋攻击群，因此进攻也有传控和脚下，甚至是具备的小快灵搭档高人哈兰德。

4、深圳男篮还活着！

辞退阿莱格里后，米兰把工作的重心放在选帅上，此前他们的头号目标是伯恩茅斯主教练伊劳拉，但这位西班牙少帅倾向于加盟水晶宫，因此红黑军团需要重新寻找新的目标，伊布列出一份7人名单，几乎没有重量级的主帅。

5、首马241次马234，刘晶娅用了两个月：跑赢了，也跑吐了

欧冠卫冕冠军、且再次闯入本届欧冠决赛的巴黎圣日耳曼，支出确实比尤文图斯多，但两年3.672亿欧元的投入也与老妇人的差距不大。

听众在通勤、做家务和睡前戴着耳机，很容易产生一种错觉——有人正在单独理解我。

家庭用户更关心机器放在哪里、吵不吵、安全不安全、孩子能不能用、耗材贵不贵，以及一个月到底能打印几次。

6、中乙联赛六月份最佳阵容：王博文、巫林峰、穆芊羽入选

对大厂来说，这笔钱不是工资，是"试用期前置"的筛选费。

而加纳的算盘会更精细，他们会耐心消耗莫德里奇的体能，等待比赛进入最后30分钟，再利用替补席上的新鲜血液去冲击克罗地亚的防线。

7、萨巴解锁新成就，巴多萨丢冠，澳坏小子称霸挑战赛，小钢炮连退

中场由罗德里、佩德里坐镇，传控调度能力属世界顶级；边路亚马尔、奥亚萨瓦尔两翼齐飞，兼具单点突破与门前终结能力；后防线新老搭配，库巴西等年轻球员快速成长，整体攻守均衡。

三场热身赛防线暴露出注意力不集中的隐患，进攻端把握机会能力也受到质疑。

8、WNBA：自由人罚球绝杀天空 韩旭12分钟5+2正负值全队最高

新的米兰管理层采用金字塔结构，卡迪纳莱位于塔尖，拥有所有战略决策的最终决定权。

对博睿康而言，NEO的注册证就是那张最重要的入场券。

从业务板块来看，特斯拉三大业务板块全部增长：汽车收入205.16 亿美元，储能收入 31.4 亿美元，服务及其他收入 45.8 亿美元。

9、决赛倒计时：谁将登顶世界之巅，改写历史纪录？

莱奥离队已是板上钉钉，目前米兰的心理价位是5000万至6000万欧元。

无论最终大力神杯花落谁家，马竞都将成为最大的赢家。

10、10个赛季只赢过4场季后赛，玻璃属性的身体，1.2亿已成垃圾合同

所有大门眼下都紧闭着，对话似乎无从谈起。

站在米兰的角度，努涅斯确实是个不错的目标。

1、聚焦｜“正青春 羽不凡”全国体校羽毛球比赛南北两大赛区挥拍

末日期权具有极强的局部“凸性”，但不等于具有良好的投资赔率，末日期权把点火时间压缩到几天甚至几个小时，只要事件稍微晚一点，方向判断即便正确，期权也会归零。

2、亚马尔开始往中路走了，这才是他真正的大招

做一件别人没做成过的事情，才是真正值得激动的。

3、身边｜顾常斌：相信羽毛球的力量

然而，本届世界杯却硬生生将这条红线扯成了两条截然不同的轨迹。西安高知家庭的终极改善，为什么是这一套？毕竟，大疆、影石已经证明了“海外高端化+回国降维"这条全球化模式跑得通，万兴科技要证明的是“国内练兵+海外挣钱+全球能力输出”这条路径同样成立。

4、轻量化的C幅长焦人像头，唯卓仕AF 75/1.8 EVO实拍体验

足球不等人。

5、消息称Stripe计划收购大模型中转站OpenRouter，估值或达100亿美元

但北方华创的故事，意义并不在于“我们已经赢了”，它真正令人振奋的地方在于： 过去，中国连进入牌桌的资格都没有，而今天，中国第一次拥有了一家产品线越来越完整、收入接近400亿元、进入全球前列的半导体设备平台。

6、墨尔本星空下的“新王”，辛纳说“希望所有小孩都有选择的自由”

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。

乌兹别克斯坦这边，胡桑诺夫作为后防核心首轮表现中规中矩，面对葡萄牙锋线将承受更大压力。

贝林厄姆与维尼修斯各入4球，紧随其后。

7、豆瓣8.3分，今年夏天最大的黑马又是中国动画

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。

两人希望将米兰的重建工作全权交给朗尼克一人负责，由他同时统领引援方向、战术体系搭建以及青训部门的整合。

8、鬼冢虎 Onitsuka Tiger 开启独立运营时代

” 阿浩撑了大约九个月，开店时他刚过完26岁生日，闭店那天，他感觉自己老了十岁。

3D打印市场的增长也在为这场产能押注提供现实依据。

Jobright.ai 是垂直 AI 应用的一个代表案例。

特斯拉单车营收42,230美元，比亚迪在2万至2.5万美元区间，根本不在一个价格带竞争；库存天数24天，远未达到危机水平，说明需求端并非元凶。