第一层为绝对核心，在这里只有拉比奥一人，俱乐部高层已将其列为非卖品，并视其为新体系的中枢基石，当然，管理层也在努力与莫德里奇完成续约。

1、bobapp 对于米兰这样的豪门球队来说，稳定的管理层是球队取得好成绩的基础，而现在的米兰恰恰缺少这种稳定性。

迈尼昂的情况则更为微妙。bobapp周四早些时候，俱乐部已与布鲁日就希腊边锋克里斯托斯·佐利斯的转会达成协议。

2、太离谱，爆料中国男篮最新决定，又要被日本韩国队碾压了

英阿之间浓烈的敌对情绪，其最核心的现实锚点在于马尔维纳斯群岛（英称福克兰群岛）的主权争端。

3、热到没食欲的打工人，都在靠贵州省汤“续命”

也愿这份由足球连结起来的友谊与温暖，能够在岁月的长河中，继续传递下去。

4、小布手下败将送蛋法网亚军，五姐郑钦文双喜临门，周意进八强

在周四1比0小胜MK Dons之后，热刺主帅德泽尔比公布了新赛季季前巡回赛的大名单，35人将随队前往新西兰和澳大利亚。

5、颜丙涛6-3力克希金斯将战丁俊晖 中国锁定决赛席位

两者相辅相成。

在2026年美加墨世界杯的赛场上，他不仅没有老去，反而用一份令人窒息的数据榜单，向全世界宣告了何为真正的“降维打击”。

两队历史上共交手4次，埃及2胜1平1负稍占上风，但双方的实力差距其实并不大。

6、5比0大胜！单场梅开二度，41岁C罗还是又创纪录！

我感谢他，并且我明白，就像球员一样，他也可能被追逐。

9月随荷兰国家队出征期间，德容再度肌肉受伤，错过了巴萨多场比赛。

7、庄宇珊巨星风采，中国女排3-1波兰队，三连胜拿到南京站亚军

一边是志在卫冕的潘帕斯雄鹰，一边是创造历史的非洲黑马，谁能挺进八强？ 阿根廷总身价达到8亿欧元，FIFA排名高居世界第2，斯卡洛尼沿用了夺冠赛季的4-4-2阵型。

门将迪奥戈·科斯塔在小组赛中多次上演关键扑救，展现了出色的门线技术。

8、国王无意！威少还有多少油？能否留在NBA？

财报显示，这部分包含约980亿美元的投资收益，包括此前对SpaceX的股份投资（2025年底时持股约6%），以及对Anthropic的投资，随着SpaceX的上市和Anthropic估值突破1万亿美元，谷歌获得了高额的账面浮盈。

他是我一直仰望的人，比赛结束那一刻，我向他表达了敬意。

数据显示，滔搏营收从2020/21财年的360.1亿元下降至2022/23财年的270.7亿元，两年减少近90亿元；2021/22、2022/23两个财年，归母净利润分别同比下降约11.68%和24.93%；自2022/23财年以来，四个财年累计净关闭门店超过3300家。

9、48队世界杯翻盘：当“凑数”成为传说，足球终于赢了世界

埃安S的电池问题涉及约21万辆车，目前只有“延保+免费维修”，没有召回。

国米与尤文各自拿到18分，排在最前面；罗马16分紧随其后；科莫、拉齐奥、乌迪内斯和都灵同积14分并列第4。

10、咱们，人人皆勇士！北京见！

工厂当然可以年产300万台打印机，但300万个持续打印的理由，无法从生产线上下来。

面对荷兰、瑞典两支欧洲强队，日本均顽强逼平，还曾4球大胜突尼斯，足以体现球队出色的抗压能力和攻坚水准。

1、CBA记者：广东队和杜锋的续约没有进展

所有分析基于公开信息，不构成投资建议。

2、4年4次最佳一阵+2次票王，却只赢过一轮系列赛！他也开始变老了？

这是继去年发布“AI for Science”平台后，企业AI创新布局的又一重要里程碑。

3、贝尔：C罗会努力让自己拥有一座世界杯冠军

无论是谁在这场半决赛中胜出，都极有可能将夺冠概率推高至80%以上。世界杯转播“帽子戏法”，咪咕交出了一份什么样的答卷？国内方面，字节跳动、阿里巴巴、腾讯2026年上半年AI相关资本开支同比增幅均超过50%。

4、好事多磨!阿根廷未能按计划前往决赛城市纽约,因雷暴滞留亚特兰大

没有谁绝对更好，只有"哪个更适合现在的你"。

5、0-4尴尬出局，骑士要重组了！尼克斯要捡漏总冠军，哈登感到绝望

希望通过周远的经历，本文读者既能看到凸性投资性感的一面，也能看清凸性投资背后隐藏的成本和陷阱。

6、医生说他的肩膀再也不能发出有威力的球，但他还是强势回归并捧杯

挪威前两轮火力全开，4-1大胜伊拉克、3-2险胜塞内加尔，核心球员状态拉满；末轮为保存体能，轮换全部主力不敌法国，无伤大雅。

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。

这些公司自己就在补足"大脑"能力，VLA模型、世界模型都在布局。

7、山西篮协副主席：迪亚洛新赛季会继续留队，但纪律性需要提升

主教练方面，球队先后经历了皮奥利、丰塞卡、孔塞桑、阿莱格里4名主帅，如果错失下赛季欧冠资格，也不排除今夏再度换帅的可能。

也是在这一年，万达和国际足联签下了一份长达15年的超级合约，总金额8.5亿美元，约合60亿元人民币，覆盖2018到2030四届世界杯。

8、最后一分钟产生两个不理解操作！名记直呼奇葩，郭士强还要招他吗

特别是在赛季初段仅有的8次替补出场中，他就疯狂地打入了6球。

耐克计划清退中国数千家在线经销商，将线上销售渠道主要集中于品牌官网、官方App以及其在天猫、京东、抖音等国内主流电商与社交平台运营的品牌旗舰店，价格、会员、消费者数据以及品牌表达都重新回到耐克手里。

” 据公开的数据统计，优必选从2021年至今，共流失近50核心骨干，总流失规模达到300到600人，成了各家争抢的香饽饽。

在网络上，几乎没有人在意这批物资的具体价值，也没有人发起所谓的“捐款审判”。