而大家猜猜看，世界杯四强缺了哪一支身价超过10亿的球队？ 答案显而易见，那就是止步16强的葡萄牙（10.1亿欧元）。

1、高比体育 讽刺的是，尽管网站显示有数百万人呼吁将阿根廷踢出世界杯，但在“GOAT”投票中，真正参与C罗与梅西对决的仅有十几万人。

尽管他的合同截止到2028年6月，但今年夏窗米兰已准备好评估报价。高比体育你要知道，麦可思2025就业蓝皮书的数据是，全国应届生平均年薪7.4万。

2、白边兴奋剂违规，中国篮协终于发声了

我见过拿了高薪实习的同学，三个月瘦了十斤，半夜在朋友圈发"撑不住但又不敢走"。

3、重庆合川高温有人热死？警方辟谣

32场各项赛事不败的纪录，让这支非洲劲旅的稳定性令人敬畏。

4、微波炉只会热剩饭？太浪费！学年轻人的6个“神操作”，太聪明了

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、雷蛇专业版礼盒开箱：旗舰套装助力玩家大杀四方

凯恩五场比赛打入6球并送出1次助攻，世界杯总进球数达到14粒。

泡泡玛特已经把美国市场当成了头号增长引擎。

沉迷“保本”的国资投委会 在54号文出台之前，国资做股权投资的逻辑“看起来很美”。

6、落后4球还笑得出来？姆巴佩换球衣遭痛批，下半场神级表现狠打脸

据《体育报》报道，随着巴塞罗那俱乐部新财年的正式开启，拉玛西亚青训中场马克·卡萨多的处境在短短数日内发生了显著变化。

据InfoLink等机构统计，2025年全球储能电芯出货量约610GWh，同比增长超90%，单四季度就突破200GWh。

7、港交所上市新规今起生效：门槛降低、WVR放宽、保密递表扩围

不止如此，本就负债率偏高的广安爱众，此番为和解执行，将更加债台高筑。

"夏奇拉说。

8、英格兰决战阿兹特克：墨西哥城不止有狂热，还有历史魔咒

更令人遗憾的是，比赛结束后贝林厄姆情绪失控，对阿根廷球员瓦伦丁·巴科做出了掌掴动作，为这场失利增添了不和谐的注脚。

这些动作，短期内看不出效益，甚至推高了成本，但赵晋荣还是力排质疑，坚持投入，他认为，如果不把国产化基础做起来： 一旦外部环境有变，北方华创的所有努力，就会变成空中楼阁。

"固定十七队"的格局被打破了。

9、Steam喜加一：《又一个僵尸塔防HD》免费领取

这位19岁的巴萨中卫身价飙升2000万，达到1亿欧元，与萨利巴并列世界身价最高中卫。

结果显示，在分片设计环节，全部11个模型均能生成绕过筛查的拆分方案。

10、12吨巧克力被盗变成现象级营销 雀巢CEO：没有反复讨论和层层审批就拍板 这是新雀巢的改变

红鸟财团一口气解雇了主教练阿莱格里、体育总监塔雷、技术总监蒙卡达以及首席执行官富拉尼4人。

这款同时激活GLP-1和GIP两个靶点的药物，在头对头试验SURMOUNT-5中全面击败了诺和诺德的司美格鲁肽：替尔泊肽治疗组患者平均减重20.2%，而司美格鲁肽组仅为13.7%。

1、清华北大2026录取分数线揭晓：清华655分，北大657分，为提前批次

根据《竞技报》记者詹姆斯·皮尔斯的消息，利物浦手中仍有一份替代名单，上面至少列有四名候选人。

2、高视医疗预计上半年净利下滑超53%，CEO刘新伟去年薪酬117万元高于董事会主席

但这支球队终究是阿根廷，而梅西终究是梅西。

3、吉利斥2.21亿欧元购34%股权，联手福特运营西班牙50万辆产能工厂，上半年海外销量增158%

最新的消息显示，乌拉圭前锋努涅斯进入了米兰的视野，他本人也愿意离开利雅得新月，回到欧洲踢球。德国两百万只浣熊：该杀还是该护？” 但客户不买国产设备，并不是偏见，而是理性。

4、宿茂臻透露三名主力伤情，直言球队相信自己要团结，直面防守问题

但刚刚结束的赛季，莱奥的个人数据出现明显下滑：31次出场仅打入10球、送出3次助攻，直接参与进球总数只有13粒，是他自20/21赛季以来的单赛季最差表现。

5、近五场一平四负零进球，连刷耻辱记录的罗斯，只剩一根救命稻草

面对外界对身价的质疑，这位帅气的匈牙利中场用场上的表现狠狠回击。

6、如何高质量推进城市更新

指控的罪名是——偷商业机密。

更让外界费解的是，中际装备做的是电机设备，苏州旭创主攻光模块业务，两者没有任何业务协同效应可言。

但从米兰的角度看，非强制买断的方案吸引力有限，俱乐部更倾向于直接出售回笼资金，因此利兹联和伊普斯维奇的动向仍然值得关注。

7、世界杯最新历史射手榜：姆巴佩22球登顶，决赛梅西能否夺回纪录？

"这位多特蒙德旧将的语气里带着明显的遗憾。

哥伦比亚则拥有更强的个人能力，迪亚斯的边路突破是他们的杀手锏，面对瑞士的密集防守，如何发挥迪亚斯的作用将是洛伦索的重要课题。

8、走出符合各自实际的高质量发展之路

还有一类是视觉模型路线，以智象未来的UiT架构为代表，从底层统一建模文本、图像、视频、空间、动作等信号，也是其中最具产业落地确定性的一条代表性路线。

局面变成1比1后，阿根廷人攻势不减，仅仅过了六分多钟，劳塔罗·马丁内斯便打入反超一球，完成绝杀。

订单层面，截至Q2末谷歌云剩余合同规模（Backlog）达到5140亿美元，其中50%以上将在未来24个月内确认收入，相较于去年年末的2400亿美元翻了一倍有余。

这支球队最大的特点就是均衡，从门将科贝尔到后防线的阿坎吉、埃尔维迪，再到中场核心扎卡，最后到锋线的恩博洛，每条线都有五大联赛级别球员压阵，战术执行力极强。