资金从当期利润和现金流转向厂房、设备、产能与基础设施，相关折旧、研发和供应链成本会在收入形成前先进入报表。

1、博富体育 最直观的问题在于球员年龄，希腊小将尚未年满19岁，直接将其放到意甲豪门的核心前腰位置上，能否适应比赛强度与战术要求存在巨大不确定性。

接下来的几周，对于费兰的未来走向，将十分关键。博富体育至于背后那几百天的苦功，它不在乎。

2、土耳其将国产原子钟送入太空

根据《全市场》消息，目前米兰中场的人员架构可划分为四个层级。

3、中国女篮阵容调整：旅美锋线邓雨婷归队合练 李星诺张梓涵离队_网易订阅

萨拉赫和马尔穆什的组合贡献了4球2助攻，是球队前进的核心动力。

4、90%商家都踩的坑：功能乱堆砌、需求不落地

加拿大小组赛首轮1-1战平波黑，阿芳因伤缺席，进攻少了最锐利的武器，控球占优但威胁不多。

5、全场散步+葬送绝杀！最贵巨星原地隐身，亲手送挪威出局

现货黄金应声跌破4050美元/盎司，此前一天，金价刚经历了一场从4141美元/盎司高点的急速坠落，12个小时内跌去超90美元。

其中 55% 为一次性买断，45% 选择订阅。

陶冶和他的团队擅长把复杂的工程问题拆开，误差可以由传感器发现，运动可以由算法控制，失败可以通过软件提前避免。

6、CBA3消息！郭昊文或加盟国王，杜锋现身龙舟赛，方硕欲打满20年！

我们会面对一个非常强大的对手，他们拥有出色的教练，仅此而已。

葡萄牙的战术更加灵活，马丁内斯可以根据对手在4-3-3、4-2-3-1甚至3-4-2-1之间切换。

7、夺冠65天后迎来大反转！5月阳性竟隐瞒到现在，到底是谁在捣鬼？

后续展期中，长三角低空经济协同创新发展论坛、先进低空飞行器（eVTOL）设计研发与核心零部件技术论坛、2026 中国航空学会航空安全分会年会暨低空安全与运营管理学术论坛、"翼" 启新程 —— 低空经济金融论坛、2026 低空经济国际投融资与出海专题研讨会等活动将陆续登场。

作为国内存储行业龙头，公司距离科创板上市更进一步。

8、惠若琪点评中美大战：刁琳宇激活了全队，龚翔宇关键时刻最起作用

我认识一个普通二本计算机专业的同学。

AI手机将如何改变一切？ 尽管困难重重，但AI手机带来的变革将是根本性的。

当时就有网友调侃，两位大佬是去"挖人"的，毕竟当时马云是广州恒大淘宝的股东，张近东手里握着江苏苏宁和意甲国际米兰。

9、离谱！航空级「艺术·纯钛杯」这个价？怪不得被疯抢！

这一数据的超越，瞬间将两代相隔24年的顶级攻击群推向了舆论的风口浪尖。

今年夏窗，AC米兰正在经历阿莫林治下最为激进的一次阵容迭代。

10、中国男篮5分险胜荷兰，杨瀚森回国首秀及格，高诗岩证明自己，缺少赵继伟真不行

加盟前听到的闭店率是5%，群里消失的却是四成。

通常情况下，商业航天的发展会经历两个阶段。

1、尴尬？特朗普遭阿根廷2人拒绝握手！西班牙锋霸领奖牌时未正眼看他

他们分别穿上了西班牙队和阿根廷队的球衣，面带笑容地搞起了"对决"。

2、43岁陈妍希近况曝光，跟普通中年女性没什么区别

阿尔及利亚的进攻主要围绕马赫雷斯展开，右路内切远射、突破造点是球队的第一得分手段。

3、慎入！巴西联赛惊现断腿惨案 胫骨被铲断鲜血直流 网友：杀人啦

好在经过过去几天的直接谈判，这些程序上的法律障碍已经成功扫清。大连英博+海港能赢领头羊成都 但也在降级区球队丢分法国vs西班牙，比赛看点如下： 第一：两队情况！法国世界排名第一，球队总身价15.2亿欧元，本届世界杯最贵球队，平均年龄26.6岁，来自五大联赛的球员共有24人；西班牙世界排名第三，球队总身价12.2亿欧元，本届世界杯第三贵球队，平均年龄26.2岁，全队球员均来自五大联赛。

4、取代杜锋执教广东队？CBA第一外教或被朱芳雨挖走，年薪高达千万

据土耳其媒体报道，米兰将面临来自那不勒斯的激烈竞争，而那不勒斯的主帅正是前米兰主帅阿莱格里。

5、江苏兴化：力争“十五五”末规上工业总产值达1700亿元

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。

6、安徽宿州一女子醉驾被查态度嚣张拒不配合，多次推搡、踢踹辱骂交警：“我打死你，你受不了气就不要干这一行”，被吊销驾驶证、刑事立案

另一个明显变化是，以前和AI关联不大的企业也开始出现在展会上，比如做化妆品、乳制品的企业。

基层教练匮乏、青训体系断层、职业联赛动荡，留洋五大联赛球员为零，这些结构性痼疾绝不会因为世界杯多出了几个名额而自动消失。

C罗六届世界杯仅有1个进球，还是点球；梅西已经独享世界杯“双王”，10助和21球分别领跑世界杯历史助攻榜和射手榜，梅西也是世界杯历史首位助攻和进球均上双的球员。

7、世界杯临近总决赛，央媒亮樊振东“新身份”，刘国梁的话有人信了

两队都是首次打淘汰赛，心理层面可能都比较谨慎，看好平局，次选加拿大小胜。

利雅得新月留任因扎吉继续执教，对努涅斯来说也不是好消息。

8、辛柏青首度回应朱媛媛离世：深藏内心的，不愿共享

算力规模要继续做大，只能靠一件事，就是把更多芯片用更快的方式连起来。

过去两年，AI基础设施的话题几乎都被GPU、HBM和网络带宽占据，核心是让模型训练得更快，随着AI大规模落地，智能体走向真实业务场景，模型上下文越来越长，数据需要同时满足存下来、管理好，还要支持随时调用。

这和上海工厂投资期截然不同：那时账本上算的是土地、厂房、产线，每一美元资本支出都对应可预测的产能爬坡和成本下降曲线，18个月后就能看到正现金流回流。

补时阶段，恩佐·费尔南德斯对库巴尔西一次不明智的犯规，领到第二张黄牌被罚下。