最新的消息显示，乌拉圭前锋努涅斯进入了米兰的视野，他本人也愿意离开利雅得新月，回到欧洲踢球。

1、米兰体育 德甲法兰克福的20岁土耳其前锋詹·乌尊是更成熟的选项，估值4500万欧元，他的对抗和终结能力都比同龄人突出，上赛季28次出场交出10球5助的成绩单，除了阿莫林外，那不勒斯主帅阿莱格里同样对其十分关注。

如何让自己的产品和品牌理念更符合中国消费者的审美，同样是一道无法回避的课题。米兰体育这位摩洛哥国脚凭借近来的出色表现，吸引了外界大量关注，据称曼城在这场争夺战中处于领跑位置。

2、西班牙1-0阿根廷夺世界杯：两人最低3分成灾难，一人8分独力救主

欧盟对华纯电动车反补贴关税已落地五年，正在扩展至插混车型。

3、15连胜戛然而止！红袜新秀首局崩盘吞4分，苦追无果1比5不敌金莺

据意媒爆料，二人还曾在一家餐厅爆发冲突，在场的富拉尼和塔雷及时将他们拉开。

4、温格谈梅西关键时刻拯救阿根廷：世界杯需要英雄，没有人比他更可靠

单用户单次对话可产生约10GB KV缓存，千级并发场景总量可达1TB，上万用户规模下整体缓存容量突破百TB。

5、狼队前锋被禁入训练场且安保就位，本人打破沉默：我只想训练

供给紧张时，平台无法确保资源供给；市场转冷，它也不会替上游分担闲置成本。

图：百忧解化学式 2003年，迪马基最终选择离开工作了22年的礼来，转而去成为连续创业者。

后卫波罗更是直言，这粒进球就是对所有质疑者最有力的回击。

6、1139马力，2.5秒破60英里！2027款保时捷卡宴电动版Turbo来了

” “对阵西班牙，你不能让他们掌控球权长达90分钟，因为他们终究会找到空当，而且会把你拖垮。

哪怕设备完全相同，系统规模、互连效率、任务调度和软件适配不同，最终交付给用户的有效算力也不一样。

7、意外！中超第16轮不和平：申花不按常理出牌，山东三雄狂灌12球

梅西的这次“发火”，争的不是特权，而是平等的职业尊重。

“对于我想做什么，我心里已经有想法了。

8、木质船体14英尺小艇待拍：搭载非运行状态35马力舷外机，无底价

有迹象表明，阿尔瓦雷斯对阿森纳在阿尔特塔治下打造出的面貌颇为欣赏。

但光鲜的数据背后，藏着几道难以回避的坎。

从内容生产角度看，这些词还是一种效率很高的“选题压缩包”。

9、世界杯1/4决赛时间表：明天7月11日CCTV5直播，西班牙PK比利时

联讯仪器是今年上市的新股中涨幅最高的一只，公司于今年4月上市，主营电子测量仪器、半导体测试设备业务。

今年一月起，由于沙特联赛的外援注册限制，努涅斯被移出了联赛报名名单，出场仅限于亚冠赛事，比赛时间严重受限。

10、弃高薪回故土，用“人心”铺就古洞振兴路——记临湘市长塘镇古洞村党总支书记柳卫星

法国队身价最高，球星个人能力最强，但不代表球队整体实力最强，因为德尚以及没有顶级中场就是高卢雄鸡的两大致命短板。

贝林厄姆与维尼修斯各入4球，紧随其后。

1、逆转美国进4强！国内媒体一致保持冷静，并点出中国女排存在的问题

那种对看台上和球场上的每个人而言，这一天都将成为一生中最好或最坏的日子的分量感。

2、罗马诺：蒂莱曼斯今天完成体检+签约，交易已完成；DO谈曼联的中场第3笔引援

”这种超越胜负的豁达，正是成渝足球文化深厚底蕴的最佳写照。

3、他加盟浙江队之前一直在踢中甲！入队后靠努力逆袭，同时圆梦国足

为锁定奥利塞的长期未来，拜仁正准备大幅提升其薪资待遇。岳阳再迎国家级医学盛会！全国心血管大咖齐聚，数智赋能基层“治心”新路径在法兰克福的六个赛季，他逐渐成长为球队的中场核心，帮助球队拿到了21-22赛季的欧联杯冠军。

4、日本足球的天花板，一动也不动

To B需求会增长但最终存在上限，API可以支撑公司生存却不一定能带来超额利润。

5、切尔西热身3-0胜布罗姆利，新援埃梅加连续两场破门，阿隆索取两连胜

商业化落地也在同步提速。

6、VR导览扫码识途、地铁5号线直达北门，南京五台山体育场本周六再迎苏超

决赛次日，西班牙回国。

一方面，通用大模型的同质化日趋严重，单纯依赖模型API输出的产品难以建立用户黏性；另一方面，当AI从生产力工具向生活方方面面渗透的时候，技术必须嵌入具体场景，并解决真实痛点。

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、克洛普获全票通过！双方已接触1年半，100万欧元让红牛放人

进攻发起同样从后场开始，三名后卫必须干净地处理皮球，两名中场介入协助，垂直传球和左右转移是训练中的常规科目。

最值得关注的是苹果。

8、仅行驶3.7万英里，2002款保时捷911 Turbo手动挡待售

他最近也在社交媒体表达了自己对球队战绩的失望和对球迷的感谢，被认为是暗示自己即将离开。

为应对后防核心长期缺阵的局面，枪手不排除在转会市场上寻找替代者的可能，以保障球队在新赛季的防守稳定性。

这让行业感慨，众里寻他千百度，暮然回首，风口却在灯火阑珊处： 大模型公司的下一个主战场，可能不在代码里，视觉多模态，正在成为大模型公司下一个兵家必争之地。

曼联那边则是轻松模式：一周一赛，氛围良好，仅仅因为换了一个受人喜欢的主帅就焕然一新。