英格兰的团队整体足球与阿根廷的巨星带动式足球，将在亚特兰大的夜空下分出高下。

1、博富体育 这不仅是欧洲足坛新旧势力的直接对话，更是2018年世界杯半决赛的复仇之战。

模型参数需要不断读取，KV Cache需要持续更新，数据需要在GPU、显存、CPU以及存储系统之间频繁交换。博富体育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。

2、首支四强球队出炉！姆巴佩6战8球比肩梅西，非洲球队全军覆没

比分预测方面，更看好法国2-1取胜晋级，或者双方90分钟战成1-1、2-2进入加时赛。

3、两年巨亏超2.5亿，95后女董事长因涉嫌信息披露违法违规被立案

阿根廷有梅西，西班牙有亚马尔，决赛之前，这早已让各路媒体的标题党们热闹了一番。

4、ESPN：天使队态度巨变，将交易多名建队核心

半场结束，阿根廷仍然颗粒无收。

5、首批入选名单！邵阳+6

当然，米兰球迷对科斯蒂奇的能力也要理性看待，虽然他的进球数据可以比肩亚马尔，但那也是在众多“定语”buff的加持下实现的，而塞尔维亚联赛也是无法与西甲相提并论的。

决赛失利后，阿根廷队退居次席。

后防线上，达文森·桑切斯和卢库米组成的中卫组合经验丰富，穆尼奥斯和莫西卡两名边后卫也有不错的助攻能力。

6、2.2万英里2014宝马650i敞篷M运动版，无保留拍卖

据孟祥福透露，在火箭量产方面，广州南沙生产基地已落地脉动式批量生产模式，实现火箭总装的标准化、流水线式作业，从而保障高频量产状态下的产品可靠性与稳定性。

据《晚邮报》报道，意大利足协近几天已经致电米兰，提醒其需在6月16日前提交下赛季联赛注册所需文件。

7、恒大青训散是满天星！18岁留洋小将被改造边后卫？津门虎与海牛互捅

法国体能储备更充足，挪威上一场打到最后时刻才险胜，体能消耗更大。

而在这之前，他就因背部持续不适缺席了训练——这个问题困扰了他整届赛事。

8、喜讯！李国旭在本轮足协杯郑重承诺！直言将在河南客场踢好比赛

但巴西3R所承载的历史底蕴、个人荣誉厚度以及那座大力神杯的终极证明，依然是法国三叉戟目前难以企及的高度。

靠着这套逻辑，这家机构已经投出了足球游戏公司Sorare、智能健康戒指Oura等多家独角兽项目，格列兹曼与英格兰球员埃里克·戴尔等约40位运动员一同成为这家机构的出资人。

考虑到米兰新赛季将面临意甲、欧联杯、意大利杯等多线作战，他们仍然是重要的轮换力量，季前赛将是争取主力位置的最后机会。

9、FIFA世界杯最佳阵公布：梅西姆巴佩领衔，金手套门将西蒙意外落选，西班牙两中卫也缺席

同日，耐克另一零售合作伙伴宝胜国际亦发布公告证实，其内地耐克产品线上销售授权将同步于 2027年1月1日终止。

今年夏窗，莱奥的离队已成定局，然而自葡萄牙人在上赛季末公开表达离队意愿后，至今没有任何英超顶级俱乐部送上正式报价，球员心心念念的英超梦尚未兑现。

10、蓝鸟2比4再负光芒跌至46胜56负 高斯曼：全队都在强求改变

相反，这位中场球员已成为俱乐部在转会市场上最具价值的资产之一，沙特联赛球队正加紧行动，试图将其签下。

首场比赛定于7月25日在格拉斯哥进行，对手是苏超霸主凯尔特人。

1、世界杯决赛终场哨响爆冲突！阿根廷球员失控推人被罚下，名宿痛批：丑陋

39岁，对于大多数球员而言已是职业生涯的暮年，或者早已经退役，但对于梅西来说，这不过是又一段传奇的序章。

2、精准击发，初露锋芒！岳阳楼区学院路小学征战省青少年射击冠军赛斩获多项荣誉_网易订阅

” 消费者花100元买零食，大约80元先变成货款，门店留下20元毛利。

3、一份征地补偿款分配决议引发的纠纷——资深律师徐迎春解读独生子女家庭权益保障案

其中“统一内存编址”被视作灵魂，它意味着不同节点的内存被纳入同一个地址空间，任意处理器可直接读写远端内存，无须经过额外的编解码流程。曼联寻找第三中场目标：罗马科内和布莱顿巴莱巴，两人被深度考虑250亿美元的AI烧钱计划 特斯拉二季度的资本开支高达57.9亿美元，同比增长142%，是近两年来首次单季现金流转负。

4、父亲是全黑传奇，外公是板球名宿，他却用竹竿球杆打出大满贯

我可是好好跟你说话的。

5、2019款奔驰Sprinter四驱改装露营车仅行驶4.6万英里 搭载3.0升柴油V6动力

资本涌入，创业者扎堆，但大多数模型做的是同一件事，从海量视频里学规律，却没有学会世界怎样运转。

6、季后赛关键战！国民队变阵：米德被撤克鲁斯上位，卡瓦利领衔战洛矶

然而荷兰人下课、阿莫林上任之后，加纳乔的处境急转直下。

订单、现金流、用户留存、监管文件和产业数据属于硬证据，项目宣传、市场传闻和个人推断只是线索。

资源消耗大，大量的PCIe带宽被低效的数据搬运所浪费，系统整体性能被卡在“通信”环节。

7、24场1球4助攻！他的数据配不上维拉，必须提升比赛水平

北京时间7月19日凌晨5点，2026美加墨世界杯季军赛将在迈阿密硬石体育场打响，两支赛前夺冠热门法国与英格兰狭路相逢。

周一晚间，转会专家罗马诺在YouTube上透露了他所掌握的拉克鲁瓦去向，并对阿森纳的传闻作出了回应。

8、斯卡洛尼7.5分！阿根廷全队打分：梅西+劳塔罗排前二！4将不及格

这位2008年出生的中场是红黑军团青训出品的重点培养对象，他在预备队踢了一年后，直接跨过米兰未来队进入意乙锻炼。

然而次轮面对荷兰，瑞典队1-5惨败，16脚射门只换来1个进球，进攻效率断崖式下跌，防守端更是漏洞百出。

两代创业者共筑算力龙头 在刘圣的带领下，中际旭创光模块业务开始加速进化。

不过1/16决赛鏖战120分钟，体能消耗巨大，这也成为了他们接下来比赛的最大隐患。