“第四官员和第五官员都是顶级水准，我在场边和他们有过交流，”德尚说道，“至于场上主裁……我不做评价，但我想问一句：他达到世界杯半决赛的执法标准了吗？”英格兰与阿根廷周四的世界杯对决，影响所及或许远不止于国家队层面。

1、博亚平台 米兰这边，迈尼昂和拉比奥预计8月12日归队，可能会进入替补席寻找比赛状态。

自2月16日以来，他再未为利雅得新月踢过一场正式比赛。博亚平台相比千人千面的聊天体验，行业更容易判断出一个Coding Agent能不能读懂代码仓库、修复Bug、调用工具、完成测试。

2、中国男篮6人上双113-79大胜喀麦隆，廖三宁18+5+4，贺希宁17分

礼来2011年创造的242.87亿美元营收纪录，直至2020年度拉糖肽销售放量后才得以超越，经历了“失去的十年”。

3、小鹏旗舰SUV GX确认入澳，售价或超10万澳元，可能因商标问题改名

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。

4、没得选择，卡塔尔财团强硬反击！大巴黎或告别王子公园，去留升级

正如上文所言，随着三大海外存储巨头持续缩减NOR Flash、利基型DRAM、SLC NAND等利基品类产能供给，直接造成细分赛道持续缺货。

5、特朗普称将向中方提出菲方的关切，外交部回应

提醒一下，正是那个沙特，持有DAZN的股份，而这家转播商刚刚向FIFA支付了数十亿美元买下上届世俱杯的转播权。

最后，希望大家未来的投资生涯，既能保持对右尾机会的想象力，也始终保持对左尾风险的敬畏心。

美国AI研究者Nathan Lambert在走访中国模型公司和大厂后提到，Kimi是他拜访过的这批中国公司里「氛围最好」的一家。

6、全新丰田亚洲龙申报信息，“小皇冠”也不香了

镰田大地是一名典型的技术型中场，能踢前腰也能踢中前卫，脚下技术细腻，传球视野开阔，有不错的组织能力和远射能力，而且跑动积极，防守端也能贡献力量。

与过去相比，老板本人将更深入地参与俱乐部的日常运营。

7、冠军对冠军！世界杯决赛：西班牙vs阿根廷 巴萨10号隔代对战

极佳视界的估值，已经站在了国内未上市机器人创业公司的第一梯队。

至此，两人11次交手战绩定格为9胜2负，淘汰赛6战全胜。

8、蒜鸟~蒜鸟~鄂K是主场King

首先是莱奥最近有所松口，存在留队的可能，其次阵中还有丘库埃泽、普利西奇、恩坤库等球员都可以充当边锋，能力也不比阿拉伊贝戈维奇差多少。

再来看费用端。

在那里，他度过了职业生涯的大部分时光，在巴塞罗那书写了属于自己的传奇。

9、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！

等到大三秋招，他才从舍友那听说：人家大二就进了某大厂实习，大三直接拿 return offer，秋招根本不用卷。

值得一提的是上赛季欧联杯决赛的对手就是弗赖堡和阿斯顿维拉，曼赞比首发出战并踢满全场，阿斯顿维拉3-0大胜弗莱堡夺冠，因此阿斯顿维拉或许在世界杯之前就已经关注曼赞比。

10、穆斯卡特：维塔尔可以出战德比，明天的比赛是一场战斗

成年之后 2026年7月，当锂电板块的股价与业绩背道而驰时，市场其实在问同一个问题：这个产业究竟走到了历史曲线的哪个位置？ 最直观的变化是增长引擎的切换。

他用连续两届世界杯的决赛之旅，用2026世界杯8球4助攻的超神数据，向全世界宣告：足球之神依然眷顾这位勇敢者。

1、透过经济半年报

差53倍。

2、推广中奖名单-更新至2026年4月28日推广

巴萨技术部门对罗梅罗那种侵略性强、主动上抢的防守风格极为赏识。

3、微信设置这些头像的人，大多是这4种性格（很准）

相比之下，德布劳内的处境显得格外微妙。不只影响颜值，全球20亿人陷入了“膨胀危机”！锋线上姆巴佩状态火热，本届赛事已打入7球，与梅西并列射手榜首位，个人世界杯总进球数达到19粒，距离梅西的20球纪录仅一步之遥。

4、这一次，爽文女主70岁

它也曾被专利悬崖逼到绝境，百忧解、再普乐、欣百达专利接连到期，营收断崖式下跌。

5、防溺水护童行：九峰街开设家门口的暖心亲子安全课

那时，中国半导体设备产业面临的最大问题，是很难形成商业闭环。

6、阿根廷总统赞扬球员：即使面对不公正判罚，球员们态度克制

当然，除了托莫里外，其他3人并非全都会被清洗，而是有可能丢掉首发位置。

如其所述，停产近一年的宁德时代枧下窝锂矿复产消息自6月以来甚嚣尘上。

所以它的真正战场，可能不是与真宠物争夺主人，而是在那些真实宠物无法触达的场景中，例如办公室、出租屋、旅行途中，扮演一个轻量级的、永远在线的解压神器。

7、夏季谨防食物中毒黑龙江专家详解饮食安全要点

北京时间7月12日凌晨5时，2026年美加墨世界杯第三场1/4决赛打响，又是欧洲内战，黑马挪威对阵夺冠热门球队之一的英格兰。

与此同时，国内头部封测企业也在持续加码先进封装产能布局，逐步摆脱低端同质化竞争。

8、夏天如何把黑色单品穿出高级感？深浅搭配、露肤度恰当，耐看简约

英格兰则带着四年前的复仇动力，加上图赫尔对战术纪律的严格要求，全队求胜欲望相对更强。

瑞幸携手本土上市公司大资工业(Hextar Industries Berhad)深耕本地运营，为马来西亚消费者打造兼具高品质、高性价比、高便利性的咖啡消费选择，为本土咖啡市场不断增添新活力。

最后是利益分配的硬骨头。

同时，耐克ACG还冠名赞助了刚刚结束的崇礼168超级越野赛。