在小组赛中，科特迪瓦展现了极其稳健的竞技状态，首轮1-0小胜厄瓜多尔，依靠中场拦截和边路反击拿下开门红；次轮面对德国，收缩防线顽强抵抗仅1球惜败；末轮2-0零封库拉索，顺利锁定出线名额。

1、kk体育 希门尼斯迟迟无法适应意甲节奏，伤病更是让其长久缺阵；普利西奇不是中锋，并且在进入2026年后极高的进球率戛然而止，陷入进球荒；恩昆库和菲尔克鲁格也不合格，二人在禁区内没有足够强的统治力。

天华新能（300390.SZ）不遑多让，预计上半年盈利22亿元-24亿元，同比增幅2471.19%-2686.75%。kk体育相较于前任主帅阿莱格里的3-5-2体系，阿莫林的3-4-2-1架构中的双前腰配置，更符合恩昆库在莱比锡时期的活动习惯，即在禁区前沿的肋部空间持球、内切并完成最后一传或射门。

2、对照一下！这5个“先进设计”，你家没有的话，装修已经落伍了

过去三年，其全球销售收入增长近50亿美元，连续22个季度实现正增长。

3、韩红基金会在和田地区把物资捐给“不差钱”的医院？当地卫健委辟谣

与此同时，关于重庆铜梁龙队长向余望的表现，也引发了部分球迷的调侃与质疑。

4、男篮4人离队！王俊杰赵维伦退出，徐昕加盟NBA球队，杨瀚森不打了

在沈亦晨看来，光互连的发展可分为三个阶段：2010年以前是“电信互连时代”，核心产品是光纤电缆、光传输设备、光模块等；2010年，云计算迎来爆发，光随之进入“数据互连时代”，光模块成为核心产品，也自此开始了对铜的替代，目前资本市场最为熟悉的光模块巨头也多在此阶段崭露头角，并奠定了中国厂商在该领域的主导地位；而2024年，则是超节点元年，光互连的核心需求场景变成了计算芯片间互连（Scale-up），行业也由此进入“计算互连时代”。

5、火箭20分大胜篮网：次轮状元桑顿23分全场最高+4战狂轰85分

一方面，它为中国模型提供一个看得见的方向：通过开源卡位模型心智，利用模型架构创新和工程化能力能降低训练、推理成本。

而在深耕社交赛道的过程中，趣丸科技洞察到一个行业全新趋势：新时代用户不再满足于内容消费，更渴望自主创作、实现自我表达。

” 难在哪里？他算了两笔账。

6、阿根廷如同潜藏的鬼魅暗影，等看似尘埃落定后反噬，就问西班牙慌不慌

他肯定了我的天赋，也指出了需要提升的方向，这让我始终保持专注。

两队历史上共有7次交手，瑞士4胜2平1负占据绝对上风。

7、签了签了！恭喜湖人！底薪搞定天才10号秀

在他们看来，卡萨多理应获得溢价转会费，而非打折出售。

2025年11月21日，礼来股价收报1059.70美元，市值首次突破1万亿美元。

8、专家质疑图赫尔雪藏萨卡与梅努用人决策

在这一背景下，耐克的线上运营费用率自然可能显著抬升，虽然直营化改革，能够直接提升品牌方的毛利率，但广告、仓储、人力成本等方面的上涨，会让直营模式的盈利优势大幅稀释。

球队隐患集中在后防线。

全年净关闭门店660家，门店总数降至4360家。

9、G3012吐和高速托克逊甘沟段一车辆疑似逆行，交警：涉事道路确为单向车道，将调查违规情况

既要挂着“扶持硬科技”的招牌享受高收益，又要拿着“债权思维”要求绝对保本。

除此之外，定价机制的缺陷，也曾让公司承受巨额亏损。

10、美高域(01985)与蒋逸雯和吴轶订立顾问服务协议_网易订阅

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。

同时英超联赛的顶级平台与竞技水平也确实有着无与伦比的吸引力，让年轻球员趋之若鹜，英超有着更多的强队、更多的球星、更多的名帅以及实力少帅，同时在英超踢球往往也能更赚钱。

1、1换3！湖人达成交易！NBA三状元正式联手

虽然合同对阿莱格里有利，但还不足以完全打动意大利人。

2、松花江水位上涨｜群力外滩生态湿地公园临时闭园

两支球队分别排名世界第10和第18位，水平在伯仲之间。

3、和讯信息陈晓俊：A股底量后的三大信号！

25/26赛季，恩昆库作为转会标王从切尔西加盟，各赛事35次登场仅贡献8粒进球和3次助攻，表现缺乏连续性。U17中国男篮14分逆转新西兰！中途换教练收获奇效，给郭士强打样阿森纳同时在探索阿尔瓦雷斯的交易。

4、天台上站满了赌球的人。

这个仓位不是为了立刻赚大钱，而是让他开始投研这家公司的财报、跟踪客户和记录竞争变化。

5、AGI已来5个月？顶级码农效率暴涨20倍，代价是不敢睡觉

当规则的适用不再基于事实与法理，而是取决于背后的国家实力与政治筹码时，所谓的“公平竞赛”便成了一句空洞的笑话。

6、争议！世界杯决赛主裁曾涉嫌卖淫贩毒被捕 回应：我没犯罪 纯巧合

AI可以在几秒钟里生成比多数人更工整的道理，真正变得稀缺的，反而是一个具体的人坐在另一个人面前，停顿、犹豫，说出无法被标准答案概括的经验。

2025年11月21日，礼来股价收报1059.70美元，市值首次突破1万亿美元。

反观山东泰山，全场表现可谓全线被动，多重致命问题被无限放大。

7、就在今天！尤因保持了36年的纪录被打破了

法国队全场6次射门机会，没有一次与他有关。

不管是中国客户还是海外客户，数据中心运营中面临的核心矛盾并不是”数据不够”，而是数据越来越多，但空间、能源和预算并没有同步增长。

8、绝了！雄鹿官宣4年6400万签下，联盟马上宣布调查！

部分网友一针见血地指出，发起此类请愿的极大概率是C罗的极端粉丝，他们试图通过贬低对手在世界杯上的成就，来抬高自家偶像的历史地位。

半年级别的验证。

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。

她直言不讳：“一家初创公司，只要能挖出一个优必选核心高管，估值就能涨将近四成。