落后的三狮军团全线压上，并在上半场补时阶段迎来了转机。

1、人人体育 在几乎所有人都被清退的情况下，仍有一个核心人物将主导米兰的诸多关键决策，他就是伊布。

该公司也在本届WAIC上发布了全球首款光电混合智算一体机天枢·光立方，主要面向边缘计算与高性能线性计算加速场景。人人体育美加墨世界杯L组末轮，克罗地亚与加纳殊死一搏，两支球队将为争夺出线权直接对线。

2、15岁18球轰50分！印度小将创最年轻纪录，“A”字庆祝致敬母亲

此外，那不勒斯也是其潜在下家，球队总监曼纳有可能离职加盟罗马。

3、西班牙连克强敌夺冠，传控足球不仅没死，它还回来开启新篇章

项目不一定要惊天动地，但要能证明"你真的干过活"。

4、MLB选秀分六平台播出照样冷场，球迷：联盟根本不关心我们

很多看似稳健的策略都有类似结构。

5、英国名将劳拉·肯尼：感谢国家彩票资助了我整个职业生涯

公告显示，公司预计实现归母净利润28.5亿元至42.5亿元，同比增长3276%至4935%；扣非净利润28.1亿元至42亿元，同比暴增212778.79%至318081.82%。

因此，越来越多节目开始补上后半句话：原生家庭会产生影响，但“原生家庭决定论”并不可靠。

巴萨近年来在放走青训球员时，通常会保留一定比例的二次转会分成，这一策略已为俱乐部带来了可观的收入。

6、生涯至暗后加盟太阳，布里奇斯：从头开始，重新赢得球迷信任，信吗？

"巴萨中卫库巴西在世界杯赛场上继续提升着自己的声望。

该媒体还指出，马竞在签下李刚仁、尤尔曼德和格里马尔多之后，为西蒙尼的阵容已经砸下了超过8000万欧元。

7、宿茂臻引援画饼，被动怪年轻球员首发？于金永合同剩半年，已被多队盯上

" 大巴车头印着"世界之王"的标语，球迷们则向英雄们高唱"冠军"之歌。

钱还没正式花出去，他先见识了这行的另一面。

8、意外！毛伟杰为何会在本轮大连中超赛前突然泪奔？原因让球迷动容

小组赛三场球，南非把这套战术玩到了极致。

它们有能力通过算力、云平台、开源模型和开发者生态，把世界模型变成一种更廉价的基础设施。

他手里攒了一笔钱，想找一门稳妥的生意。

9、韩国前主帅洪明甫再次道歉：去美国是因家人安全受威胁，将出席听证会

2026年7月2日，北方华创跌停了。

但它的客户结构极其集中。

10、11艘航母一个接一个出事，美军撑不住了，打完仗或立即回防西半球

作为21/22赛季意甲夺冠功臣，托莫里近两个赛季的出场稳定性与防守决策质量均出现下滑。

但事情在蓝军很快也变了味。

1、印度队7连败后首胜，队长Shreyas Iyer：不能再更开心了

决赛次日，西班牙回国。

2、官宣！曼城1.16亿镑签下英格兰国脚安德森，合同期至2031年

2026年美加墨世界杯决赛即将打响，时隔16年重返决赛的西班牙将迎战卫冕冠军阿根廷。

3、世界杯红牌罪人被弃！切尔西砸 8000 万封神中场，替换亿元水货

对于球迷而言，这或许就是足球最迷人的地方吧！2026年世界杯的战火正酣，关于“谁是世界杯历史最佳三人组”的讨论在绿茵场外同样激烈。张掖丹霞口文旅小镇多元盛宴点亮端午假日夜空参与项目的员工称，按每瓦可生成的token数计算，其能效可能达到谷歌最新TPU的6到10倍。

4、曼联26/27客场球衣发布：蓝色复古条纹，售价85英镑起

但从终极性能上考虑，把光芯片和电芯片放在一个模组中的CPO，实际上能带来更好的带宽提升和更低的延迟。

5、204名投手单季至少1次救援，Sewald却连续3场失分陷危机

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、NASCAR取消常规赛冠军奖项 2026年起仅设季后赛总冠军

但现实却是一记响亮的耳光。

就在萨拉赫即将敲定转会之际，贝西克塔斯已经率先完成了另一笔重磅引援。

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。

7、1/16淘汰赛将踢五星巴西！韩媒：天堂抛弃了日本队

从这个角度来看待北方华创的成长性，会有不一样的结论： 7月20日，北方华创收盘价676.91元，对应着88.1倍市盈率，放在传统估值框架里，这不便宜。

它不像谷歌拥有一个可以立刻变现AI能力的成熟云业务。

8、1970年道奇挑战者T/A 340 Six Pack：全球仅七辆的同色涂装经典跑车现身

以几多全、金粒门为代表的新鲜零食品牌主打“短保”“现制”，无论从门店视觉还是货架包装上都更吸睛，更重要的是品牌人设清晰，此前《零售圈》线下走访几多全门店时发现，不少年轻消费者都是拿着手机“慕名而来”。

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。

面对挪威队的八强战，英格兰队需在即战力与球员长期健康之间做出权衡。

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。