高度依赖青训体系的巴萨转会投入更少，两年的总支出只有8800万欧元，而止步欧冠半决赛的马德里竞技投入还是很疯狂的，两年间支付了4.18亿欧元转会费，不过他们也通过出售球员收回了2.6亿欧元。

1、bobapp 供给紧张时，平台无法确保资源供给；市场转冷，它也不会替上游分担闲置成本。

结语 过去五年，天齐锂业走完了一轮极致的锂矿周期：净利润从年赚159.81亿元，到巨亏79.05亿元，业绩波动极为剧烈。bobapp这不仅是算力规模的提升，更是算力效率的质变。

2、6-4！世界杯癫狂1战：10球对轰 英格兰夺铜牌 刷新44年纪录

一个数据足以说明问题：戈登第55分钟打破僵局后，英格兰的控球率急剧下滑，全队被阿根廷压着打，最终在最后时刻崩盘。

3、永州13岁男孩失踪，数百人寻找5天，大家快失去信心时，妈妈最后的坚持让儿子获救

2022年10月，美国商务部发布了新规，对中国先进芯片制造和半导体设备制造实施全面限制，中国晶圆厂想买先进设备的路，被堵死了。

4、盘点｜专业级卡片机的虚化能力大概是什么水平的？

如今并列排在榜首的，是西班牙前锋亚马尔和挪威中锋哈兰德，两人的身价双双上涨2000万欧元，来到2.2亿欧。

5、CBA最新消息！广东锋线大将回归，山东和高诗岩续约有分歧，北京放弃麦基

维蒂尼亚和若昂·内维斯搭档双后腰，既能防守拦截又能出球组织，保证了中场的控制力。

渠道本身就不平等，知道得晚，不是你笨，是你手里的情报网太薄。

如今刚满19岁的亚马尔，肩负着西班牙队的厚望。

6、4队9人重磅交易官宣！三球加盟森林狼 兰德尔赴篮网+里德去黄蜂

这种不确定性很可能会影响球员的备战状态，甚至可能导致一些核心球员产生离队的想法。

目前卢库米合同中的2800万欧元解约金条款已经过期，博人对球员的估值在2500万欧元左右。

7、领先20分被逆转，单节被轰39-11，北京首钢队止步四强

据《每日体育报》报道，马德里竞技在夏窗开启后投入不小，财务压力随之而来，如今已到了难以轻松应付的地步，俱乐部面临着出售重要球员以平衡账目的现实压力。

然而，他们即将面对的是传控防守的“天花板”。

8、为什么10万+的衣服还那么多人买啊？？？

首先是位置竞争，米兰的中场位置其实并不缺人，现有阵容里就有不少实力派球员，莫德里奇是否续签合同还未确定，另外还有拉比奥、福法纳、奇克、里奇、亚沙里、穆萨等一大批中场球员囤积。

不过，球队也暴露出进攻节奏有时过于拖沓的问题，在面对低位防守时缺乏向前的直线渗透，过多横传容易让对手防线从容落位。

热刺：还会更烂了吗？ 上赛季的热刺，差点就降级了。

9、广厦超市开张了！卖赵嘉仁换现金回血，CBA总亚军也被钱逼到绝路

该媒体还指出，马竞在签下李刚仁、尤尔曼德和格里马尔多之后，为西蒙尼的阵容已经砸下了超过8000万欧元。

刘圣认为：每一代产品迭代都会有新企业起来、老企业离场。

10、0-2！法国队输球揪出两大“罪臣”，33岁老将在列，德尚也难辞其咎

基米希进攻时内收到中场参与组织，极大丰富了中场层次。

周远重新审视候选清单，逐渐把凸性来源分成了几类。

1、篮网暂不急着续约小波特

举个例子，TT语音早期的定位极其朴素——“游戏对讲机”，但真正让趣丸科技创始人宋克对产品价值产生颠覆性认知的，是用户自发的行为演化。

2、张博源加盟路易斯维尔大学！完美适配球队风格 与米切尔成为校友

据Business Insider7月22日报道，马斯克的Neuralink在私募股权二级市场的估值已被推高至420亿美元（约2845亿元人民币），接近其上一轮90亿美元融资估值的5倍，部分买家甚至愿意按照近600亿美元的估值接盘。

3、雷霆再遭挖角！三冠教练驰援火箭，阿门申京的三分“有救了”

摩洛哥的战术更加求稳，他们通常采用4-2-3-1站位，防守时边后卫回撤形成5-4-1。怎么会有人不Like Jennie？他们是不同的球员，来自不同时代的球队，背负着不同的故事。

4、梅西惨淡谢幕，亚马尔的足球时代开始了

中国公司可以复制Anthropic的聚焦，却很难复制它在资本、算力、数据和企业客户上的先发条件。

5、浙江队CBA新赛季主教练出炉！

马斯克说，业务扩张的唯一约束是安全标准，目前已在佛罗里达、得克萨斯多个城市及旧金山湾区运营。

6、新关税框架落地！美国对数十个国家加征10%-12.5%的关税，石油、天然气、食品得到豁免

巴西整体实力、大赛底蕴、攻防稳定性更胜一筹，取胜概率更高；日本依托成熟的团队战术和顽强的球风，有逼平对手的可能性，但爆冷取胜难度极大；预测巴西2-1取胜，次选1-1平局。

事实上，乐园是泡泡玛特许多IP运营尝试最初的试验地。

他不仅扩大了临床试验规模，还让Mounjaro较原定上市时间提前了整整两年。

7、好热！一篇解决你夏天选内衣的所有烦恼

其中最具参考价值的是2022年卡塔尔世界杯小组赛，当时两队就分在同一个小组。

在那不勒斯执教两年后，孔蒂决定赛季结束离任，他的下一站有可能是意大利国家队。

8、当东盟秘书长的面，王毅点名菲律宾，东盟十国没有替菲说半点好话

即便全场隐身，他也能在瞬间改变战局。

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。

值得一提的是，如果这笔租借最终成行，特尔施特根将与米歇尔重逢。

综合来看，这三人若同时离队，米兰将失去上赛季中场的全部常规主力配置。