瑞士足球向来以战术纪律性著称，本届杯赛雅金的球队再次证明了这一点。

1、ky体育 SK电信表示，SK Hyper将聚焦于业务拓展，以实现中长期内建成15GW的AIDC容量为目标。

深入实施“人工智能+”行动，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。ky体育商业化落地也在同步提速。

2、国产算力最大的短板，被一座Token工厂补上了？

联想作为本届世界杯最高层级的全球合作伙伴、官方独家技术服务商，天然就是这次"看球团"的东道主。

3、火箭本赛季最大问题非他莫属 曾经球队最好的球员 为何如今最鸡肋

谷歌、微软、亚马逊和Meta四家公司在2026年的资本支出合计预计高达7250亿美元，到2027年将进一步攀升至近9000亿美元，4家巨头合计每天就烧掉20亿美元。

4、不期而遇！男篮球员现身中国石油加油站

2002年的3R组合，是足球史上唯一由三位金球奖得主构成的锋线，他们代表着桑巴足球的浪漫与个人天赋的天花板。

5、空腹运动瘦得更快？别再被忽悠了！

图赫尔的“宿命魔咒”：从拜仁杀到英格兰 凯恩赛后的无奈与球迷的愤怒，最终都指向了同一个人——托马斯·图赫尔。

从这个角度来看待北方华创的成长性，会有不一样的结论： 7月20日，北方华创收盘价676.91元，对应着88.1倍市盈率，放在传统估值框架里，这不便宜。

在攻击线上，利物浦显然还需要更多人手。

6、报告｜同程旅行：奥运会开幕首周巴黎酒店预订热度同比涨4倍

如何让自己的产品和品牌理念更符合中国消费者的审美，同样是一道无法回避的课题。

无论技术如何变化，商业的本质从未改变：理解人、服务人、成就人。

7、交易杜兰特？火箭队谋求改变，活塞队追求冠军！

这项规则设计既给予管理层日常运营自主空间，又将大额交易核心控制权保留在卡迪纳莱手中。

足球与政治的边界，再次引发深思 阿根廷球员的这一举动，再次将“足球与政治的边界”这一老生常谈的话题摆上了台面。

8、阿里甩出“配音”神器：能调整情绪，还会说方言

一签赚0到3000元。

报道称，费尔明对康复计划每个阶段的反应都相当不错，随着训练强度逐步提升，他也感觉越来越自如。

两者之间的差距正在显著缩小。

9、“优等生”奇瑞的出海经验：长期积累、本地化与品牌跃迁

一些敏锐的地方政府已经开始改变玩法，不再承诺直接给几千万元的股权投资，而是改给“绿电额度”“免费算力支持”“精准供应链对接”以及“厂房租金极度优惠”。

小蜘蛛天外飞仙，劳塔罗锁定胜局 少打一人的瑞士队被迫全线退守，在剩余的近20分钟常规时间以及整个加时赛中，他们几乎凭借顽强的意志硬抗了阿根廷队一个多小时。

10、洞洞鞋整容成芭蕾鞋，就想卖我499？

需要注意的是，行业内部因提锂方式和业务集中度不同，锂企的增幅又有所分化：业绩增幅靠前的几乎都是矿石提锂企业，如天齐锂业、中矿资源、天华新能等；而盐湖股份（000792.SZ）、藏格矿业（000408.SZ）、川能动力等多业务并举的锂企业绩波动相对较小；亏损企业则各有各的困境，江特电机锂矿靠外采、盈利受限，*ST威领因钨矿价格下降致亏损，金圆股份则因非经常性损益减少亏损扩大。

本场比赛他的表现并不出彩，但那种随时可能在一瞬间决定比赛的危险气息始终存在。

1、速来围观！新球员大巴已就位！

此消息一出，作为耐克在中国内地最大的经销商，滔搏股价应声下跌超20%。

2、广厦第3巨头换人！男篮国手要顶薪，合同两年起，地位不输孙铭徽

阿莫林的三中卫体系对出球型中卫的传球成功率与推进能力提出了更高要求，而托莫里的出球一直是个问题。

3、数字丝路发展论坛｜国家医疗保障局王文君：激活医保数据要素 赋能数智健康高质量发展

从慢镜头来看，撞击角度并不算特别刁钻，但力度相当大，洛卡特利的额头直接撞上了莫德里奇的左脸。名嘴:全世界混双都靠男选手 但莎头无敌靠的不是王楚钦而是孙颖莎她说：“跟我一起体验机场地狱24小时。

4、资本主义太可怕了！德国工厂每星期要工作 5 天，一天要干 5 个小时

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。

5、俞敏洪：西安开店

宇树CEO王兴兴2025年5月受访时直说，从文职到研发，公司所有岗位都缺人。

6、马龙/许昕3-0林高远/袁烜松，晋级全锦赛男双决赛

“我的工作经常都需要加班，晚上回到家连个活物都没有。

” 杜知恒的三个圈理论同样适用于此：做深场景是为了验证需求、打磨产品，做广平台是为了复用能力、放大规模。

尽管曼城有强烈兴趣，但里尔1亿欧元的要价可能成为一大障碍，这家法国俱乐部目前丝毫没有降价的意愿。

7、上海今夏10人合同到期！两国手锋线或收获顶薪，卢伟打造冠军王朝

对阿莫林来说，季前赛显然非常重要。

当然，后瓜迪奥拉、后克洛普时代的英超，卫冕难度或许有所降低。

8、杂谈｜国产镜头正在从50/85mm到24/35mm

2026年美加墨世界杯激战正酣，皇家马德里虽未以庞大参赛人数著称，却凭借顶尖球员的卓越表现，正逼近一项尘封已久的历史纪录。

他们通常采用5-4-1的深度防守阵型，全员退守本方30米区域，两条防线紧密压缩空间，中场不断绞杀切断对手传导节奏。

伊布在管理层扮演的角色将影响到阿莱格里的未来。

下半场开场一分钟，阿根廷两次传球失误，本该被阿莱士·巴埃纳惩罚，可他和上半场的奥亚萨瓦尔一样，只把球送进了马丁内斯的手套。