这是马丁内斯全场第五次扑救，也是他在历届世界杯单场扑救次数之最。

1、英亚体育 过去是国内做好、卖到海外，现在是国内练兵、海外挣钱、全球变现。

预计英格兰常规时间取胜的概率稍大，最可能的比分是1-0，次选墨西哥1球小胜。英亚体育然而好景不长，在十六强赛对阵塞内加尔的比赛中，他在第56分钟被提前换下，彼时球队正陷入被动。

2、升班马官宣！徐正源回归中超，年薪70万美金，明日正式带队训练

我希望他说的是真的。

3、邮报：热刺为M费开出的价格已高于曼联愿意支付的金额上限；激烈的转会竞争是否会对曼联造成问题？跟队记者回应

耐克提出减少批发业务、增加直营渠道，把消费者关系、会员体系、产品数据以及利润更多掌握在自己手中。

4、安东内利父亲放出狠话：再无故压线就“像拧鸡脖子一样拧你”

"泰恩塔说。

5、Intuit获洛杉矶奥运会场馆冠名权，超级猩猩回应多地门店关闭

锂矿巨头的底牌与软肋 天齐锂业最核心的资产，是位于西澳大利亚的格林布什锂辉石矿。

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。

考虑到第一张黄牌来自顶撞裁判，阿根廷将为少打一人付出多大代价，时间也给出了答案。

6、毕业了你的档案转去哪、怎么查？一文看→

这场1-3的完败，不仅是一场积分上的失利，更是山东泰山当前困境的缩影。

很多人只在买入时计算赔率，之后便把注意力放在盈利金额上。

7、48胜老虎队主场战43胜皇家 美联中区内战梅尔顿对决多布纳克

此外，居莱尔也在土耳其对阵美国的比赛中斩获1球。

哥伦比亚的阵容同样不容小觑，他们世界排名第14位，全队身价接近3亿欧元。

8、NFL选秀爆冷：25岁新秀仅38次接球，美洲虎却用第56顺位抢他

而现在投入的是算法工程师的薪酬、超算中心的算力租赁和芯片堆叠，绝大部分直接费用化吃掉当期利润，却拿不出一张投产时间表。

人会感到一种空虚。

在整个AI短剧漫剧产业链中，AI影视创作应用成为竞争最密集的地带，这也成为吴太兵所说的“练兵场”。

9、诺丁汉森林3000万镑接近签下葡体铁卫迪奥曼德

他渴望将自己在欧洲赛场积累的丰富经验反哺祖国，无论是作为教练在场边运筹帷幄，还是进入管理机构推动塞内加尔足球的发展，他都愿意继续为国效力。

当词汇只是扶手，它们能帮助人站起来；当词汇被当成答案，现实反而容易消失。

10、厄德高：“小队长”的梦想之旅

随着阿莫林上任AC米兰主帅，球队夏窗的引援工作开始提速。

如果阿莫林的战术理念能够与克勒舍的转会运作完美结合，米兰完全有能力在未来几个赛季完成阵容的升级换代，重新具备争夺意甲冠军和欧冠荣誉的实力。

1、小明配进国家队，与王钰栋两翼齐飞！两队防线都是纸糊的，穆斯卡特恐晚节不保

可以从商业逻辑的混乱问题中，看出一些蛛丝马迹。

2、受全球存储芯片成本上涨影响，国内多款高端手机涨价超千元，安卓国产高端阵营涨幅最突出

广汽埃安敢于兜底的底气出自“问题电芯”，而中创新航则是小心翼翼的讲是“系统故障”。

3、这夏消暑，一起保持邵阳人的这些风度！

同一份招股书，同一个发行价8.66元，长鑫科技有两套市盈率。国际足联前主席：世界杯已丧失公信力，不能让政治喧宾夺主贝莱德表示，强劲的经济增长和持续的盈利扩张使其继续维持“超配”美股的立场，并建议投资者重点关注电力、芯片和数据中心等AI瓶颈领域。

4、乌奈·西蒙点赞亚马尔：真正的巨星不只看进球！未来必成足坛顶级球星

看好比利时常规时间2比1小胜塞内加尔，艰难挺进16强。

5、切尔西接近签下勒沃库森18岁新星，3000万镑身价靠阿隆索关系搞定

用户不再需要跳转、不再浏览页面、不再观看广告，意味着建立在日活与停留时长之上的万亿级流量生态即将分崩离析。

6、五星跑卫乔治斯周三直播做决定 田纳西内线三选一

” 粉丝们看得心疼坏了，有人甚至说皮克福德就该给她订一架私人飞机。

拓竹重新评估后发现，这个冷门市场同时具备几个条件：规模不算大，但用户体验很差；产品足够复杂，有技术门槛；传感器、算法、运动控制和供应链能力，已经提供了“把产品再做一遍”的机会。

作为预热阶段的亮点，贝克汉姆亲自在社交媒体发布“一包乐事直达FIFA世界杯”活动，号召消费者打开乐事活动装，赢取世界杯现场观赛的机会‌¹。

7、辽宁男篮寻赵继伟接班人，盯上12+3新星，与多队竞争，山东千万挖王岚嵚

配置更精简、价格更低的版本持续推出，金融优惠和促销手段继续加码，高价车型逐渐淡出，主力车型继续向下探价。

然而，随着大模型推理和AI Agent进入规模化应用，一个越来越明显的现象开始出现：GPU越来越强，但真正能够释放出来的算力却没有同步提升。

8、费迪南德力挺亚马尔：有人说他傲慢，但世界杯半决赛证明了他的自信！

此前市场反复说服自己，碳积分收入虽不稳定，但总会以某种形式持续。

这意味着月之暗面有望在2027年初​完成挂牌，成为继智谱、MiniMax之后又一家公开上市的国产大模型头部企业。

但球员本人始终没有给出明确承诺，此前的种种迹象表明，他更倾向于在这个转会窗披上皇马战袍。

全年看，入门级产品出货量增长 26%，拓竹以 37% 的份额位居第一。