1/16决赛中，摩洛哥遭遇荷兰，这场强强对话打得异常激烈。

1、半岛体彩 相比之下，阿根廷则一路苦战，从佛得角、埃及和英格兰身上拼下了胜利。

“当德克兰告诉你他疼得难以忍受时，你就明白他已经到极限了，所以他被换下时自己也如释重负。半岛体彩俱乐部决心拿到一笔能体现球员价值的转会费。

2、中央网信办、应急管理部部署开展汛期灾害事故违法不良信息集中清理整治

曼联原本在世界杯期间就已经谈妥了巴西人的转会，但在最后的体检环节却出了问题，埃德森被无情退货。

3、事关你的房子、车子、收入、假期，未来5年将有这些变化！

中方正在就相关降税安排建议广泛征求国内企业、商协会、地方政府、美资企业商协会等利益相关方意见，美方也在就贸易理事会及对等降税安排征求公众评论意见。

4、勒布朗·詹姆斯的争夺战中，76 人队有1个可以追溯到8年前的原因

但在此之前，外交先行。

5、株洲市公交集团招聘20名应届毕业生

本周一凌晨，三狮军团在阿兹特克球场以3比2险胜墨西哥队，但球队为此遭遇多重减员困扰。

5月底，AC米兰官方宣告首席执行官富拉尼、体育总监塔雷、主教练阿莱格里和技术总监蒙卡达卸任。

新一代的英阿大战，将由梅西、凯恩和贝林厄姆等人继续书写。

6、利物浦准备报价巴尔科拉，萨拉赫离队后锋线空缺亟待填补

更近一些的卡塔尔世界杯，直接把恩佐·费尔南德斯的身价推到了切尔西掏出的1.2亿欧元附近。

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。

7、26岁小伙吃夜宵突然剧烈疼痛，血管从肩背部一直撕裂到大腿！非常凶险，美国鹰派参议员日前因此病去世

全行业锂盐企业陷入实质性亏损，大量中小厂商被迫停产。

德尚指出，要想与西班牙抗衡，球队必须发挥出百分之百的水平，但“我们在所有关键环节都没能做到”。

8、一座城市砍掉5000个公务员岗位：香港"科技换人"的背后，是比AI更深的产业困局

今年6月23日，公司公告称协议生效条件未能全部成就，双方协商一致终止交易，互不追责。

足球比赛的魅力，恰恰在于身价无法解释一切。

02 国内的抢人大战 国内的惨烈程度，比国外更疯狂。

9、东北新发地河蟹大市场项目稳步推进

700万欧元购入的阿泰卡梅也有希望留在队中，他的定位是萨勒马克尔斯的轮换。

斯卡洛尼的球队或许在整体跑动上不及年轻的西班牙，但他们拥有在绝境中一击致命的勇气，以及全队为队长梅西拼尽全力以及多跑几步的三军用命。

10、好消息，湖人队休赛期已经签3名大个子球员，还可能再签一名中锋

那么，为什么是Kimi？ 第一，两家公司技术层面的联动。

两队都已经提前出线，这场比赛的意义在于争夺小组第一。

1、阿根廷逆转背后满是争议！埃及主帅：全世界都看着这场不公判罚！

资金往哪走？全球黄金ETF在6月净流出74吨。

2、聚焦儿科疑难重症，这家医院为何选择“难而正确”的路

IDC数据显示，2026年第二季度国内智能手机市场出货量约6601万台，同比下降4.3%，是连续第五个季度同比下滑；Counterpoint在6月初进一步将今年全球手机出货量预期下调至约10.8亿部，同比降幅从年初预测的2.1%扩大至13.9%，创下2013年以来新低。

3、脑内38条虫惊吓到专家：“从医30年只见这一例”

然而，易边再战，画风突变。普联软件筹划控制权变更事项 旗下股票及可转债将于7月27日起停牌_网易订阅第三条路线是投资还没完全证明自己的年轻中锋。

4、勇士聘沃格尔担任首席助教！曾助湖人2020年夺冠 新赛季辅佐科尔

即使股票最终真的下跌20%，看跌方向正确，买方仍未必获得收益，因为实际波动没有超过期权价格预先要求的幅度。

5、孟加拉国总统楚普辞职

主要目标有2个，都出生于2004年。

6、曾毓群：很多人进入行业，第一件事就是到宁德时代挖人、偷技术

例如德保罗去年夏天从马德里竞技租借加盟时，签下的是一份动用最高额度定向分配款的合同，基础年薪150万美元，保障薪酬总额362万美元。

而房租一天接近500元，水电约150元，三名员工的人工约380元。

这场晒照风波，与其说是对一座十年前奖杯的争论，不如说是球迷与一位步入生涯暮年的传奇之间的情感错位。

7、科学大家说｜ 以灵犀，见天机！

米兰引进恩昆库的操作也没能在锋线带来积极变化，他的引援成本为3700万欧元，成为去年夏窗的标王。

这种神经性疼痛是极其折磨人的。

8、延庆出实招！为青年人才创业安居减负！

戈登的冲刺时速达到37.92公里，是上赛季欧冠最快球员，也是世界杯上速度最快的球员。

法国的阵容厚度堪称本届世界杯之最，尤其是后卫线，萨利巴、于帕梅卡诺、孔德、特奥等都是豪门主力级别。

面对如此巨大的反差，球迷们愤怒地指出：“世界杯也玩双标，国际足联就是草班台子。

《每日邮报》还指出：“切尔西的兴趣浮出水面之前一个月，俱乐部消息人士曾试图否认圈内关于他们关注斯通斯的传闻。