反观西班牙，他们不仅战术执行力完美，更在心理上对法国队形成了绝对的压制，越踢越从容。

1、亚搏手机 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。

八次对抗赢下五次，外加四次夺回球权，在比赛进行到六十分钟时，堪称最佳表现。亚搏手机这种收与放之间，泡泡玛特探索的不仅有一家IP公司的业务边界，还有面对新一代用户不同以往的内容消费形式，关于IP的文化和情感共识需要以什么样的方式建立、呈现和传递。

2、敲定了！重磅三方大交易，篮网正式送走里夫斯

这名23岁的球员上赛季收官阶段左腿腘绳肌受伤，这次伤病最终导致他错过了2026年世界杯。

3、这一天来得很快，王曼昱0-3日本削球手，女乒还有2个更坏的消息

今年2月，他名下的风投平台Play Time出手，参投了“AI教母”李飞飞创办的空间智能公司World Labs，投资方名单里，还站着英伟达、AMD这样的硅谷巨头。

4、2000万签下，打击率不到1成，勇士被建议放弃这位金手套得主

至于世界杯现场，马云更是常客。

5、文班亚马为球队主动降薪续约，NBA专家直言此举开恶劣先例

加拿大的战术就是快打旋风，主帅马什推崇高位逼抢，丢球后就地反抢，压缩对手后场出球空间，迫使对手频繁长传丢失球权。

球队隐患集中在后防线。

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、“摇一摇”广告终于被整治，但我的手指还是不敢乱动

与此同时，马竞方面持续传递同一信号：尽管阿根廷人已明确表达了离队意愿，俱乐部今夏不会接受任何价格将其出售。

现场的大佬们各有支持的球队，立场分明。

7、一起跑到爽！一起冲击吉尼斯！

他们的婉拒很能说明问题：现阶段的米兰，既拿不出清晰的中长期竞技规划去说服候选人，也无法在薪酬和话语权上给出压倒性的保证。

此外，进入7月，科技公司集中披露业绩预告，部分头部公司业绩持续高增，但也有部分公司业绩表现不及市场预期。

8、西班牙主教练德拉富恩特点评梅西！

长鑫99%营收仍来自DDR和LPDDR，HBM暂时当不了利润稳定器。

储能的买家不再只是电网公司或新能源电站，还有云服务商和算力公司。

追本溯源，“懂需求”既是他们商业化的起点也是最终实现闭环的锚点。

9、在北京，路跑是北马，越野当然是北京100！

首先，它用愿景锁定了公司的长期押注方向。

加泰罗尼亚俱乐部上赛季一直在跟踪他的发展，今夏早些时候已与其团队初步接触，了解合同状况和球员本人的意愿。

10、抱头被绝杀无所谓！张镇麟夺冠遮百丑？他在男篮仍难有表现

另一方面，当前，运动鞋服行业的消费需求依然存在不确定性，在耐克还在进行线上缠斗稳价的间隙，价格敏感型客群，则可能会直接流向安踏、李宁等国货品牌。

至于即将到来的新赛季，巴萨预计将在诺坎普球场完成全部主场比赛。

1、告别17年蓝白生涯！38岁铁卫宣布退出阿根廷队：139场8球3冠军

里奇（2300万欧元签下）和德温特（2000欧元签下）的表现勉强算是匹配了自身身价，但还没有冲击主力阵容的实力。

2、中端酒店还在卷标准，品睿·竹境观止系列已经开始卷情绪了

世界杯前，这位巴萨边锋的身价为2亿欧元。

3、年少有为！19岁就入选全明星有多难？NBA仅1人做到，弗拉格无缘

纵观全场，法国队的强大不仅体现在进球上，更体现在令人窒息的防守压制力。笑喷!王楚钦乒超失误后冲自己发飙:就在这,我干嘛呢?更重要的是，这类产品的商业模式仍停留在卖硬件的初级阶段，后续的内容订阅、数字皮肤、虚拟道具等增值服务尚未形成有效的变现路径。

4、广州银行信用卡“归巢”：独立专营十年落幕，贷款两年降逾300亿

拓竹相信，未来需要3D打印机的人会更多，买下机器的人也会持续找到值得打印的东西。

5、神迹重现？跟腱断裂后只歇了9个月就复出，赛季场均30+7进二阵

本次世界杯在美国举办，相当于是为希望进入美国市场的企业，提供了一个绝佳的入场契机，一边看球一边谈生意，效率可能比专门跑一趟出差高得多。

6、张家界596分少年曾许下心愿想改造老家、给妈妈换新手机，爱心人士帮其完成心愿

西班牙夺冠后，他的身价上涨2000万，达到2.2亿欧元，与哈兰德并列全球身价最高球员。

这段漫长的沉寂，让富勒姆在行使2400万欧元买断权时变得犹豫不决。

克罗地亚在达利奇带领下坚持务实控场打法，对阵英格兰大概率启用3-4-2-1防守反击阵型。

7、【CBA联赛】第三十五轮｜五连胜！浙江稠州金租96-87胜福建晋江文旅！

这笔交易不仅是对现有阵容的实质性补强，更体现了俱乐部在转会策略上的务实与高效。

什么是综合竞争？就是说，模型能力只是入场券，数据稀缺性、产品化能力、工程效率、行业Know-how和工作流深度绑定，才是真正的胜负手。

8、750分钟全勤冻结梅西登贝莱 皇马5500万签下他赚翻了

虽然合同对阿莱格里有利，但还不足以完全打动意大利人。

2026年的WAIC让AI Infra空前热闹，但这份热闹主要集中在供应链端。

对于企业而言，真正需要关注的不是拥有多少TOPS，而是在训练和推理过程中，能够以多高效率完成Token生成。

三星的PE从5倍跳到20倍以上，不是利润好了，是利润没了。