赖斯的远射、孔萨的头球，以及萨卡那令人惊叹的梅开二度，让半场0-4的比分显得如此绝望。

1、九游体育 图：礼来三大爆款销售趋势 与此同时，研发端也在流血。

那么米兰目前的目标是谁？意大利媒体认为大巴黎的葡萄牙前锋贡萨洛·拉莫斯是最大热门。九游体育如果届时仍无突破性进展，体育总监德科将启动备选方案，相关前期准备工作已经在进行之中。

2、未来3天晴热高温为主，最高38℃！最新天气预报→

另一个明显变化是，以前和AI关联不大的企业也开始出现在展会上，比如做化妆品、乳制品的企业。

3、贝林厄姆和主教练公开互怼，英格兰众名宿认可图赫尔对球队的批评

他们场均控球率达到65%，场均传球620次，传球成功率91.2%，三项数据均位列本届赛事前列。

4、华北降水量较常年同期偏多六成 防汛关键期这些地区风险高

特斯拉还同步研发「数字Optimus」——一个能自主操控电脑的数字智能体，与 SpaceX 联合开发，Grok 作为顶层调度。

5、同分不同命！佛得角塞内加尔逆袭创历史，再遭暴击的韩国沦为笑柄

2018年2月5日，波动率突然飙升。

姆巴佩的失点+世界波+助攻，登贝莱的贴地斩致命一击，这两位锋线杀手的默契配合与超强个人能力，让法国队的进攻端呈现出独一档的统治力。

本赛季至今瑞士人累计11次出场，总计487分钟，只有1次助攻，那是在2月份米兰客场1比1战平科莫的比赛中，他助攻莱奥破门。

6、三分种七分管，大理海东终于让95.4%的绿色“活”了起来

三中卫+双后腰形成严密屏障，三条线间距压缩到极限，胡桑诺夫作为后防核心负责指挥防线并通过长传发起反击。

如今，这份名单上又添了一个更具分量的名字。

7、烟台市上半年外贸进出口总值首次突破2700亿元

这是加拿大队史首次征战世界杯16强淘汰赛，而摩洛哥则是2022年卡塔尔世界杯的四强球队，一场青春风暴与铁血防守的较量即将上演。

米兰本次夏季友谊赛安排的相当紧凑，不仅比赛数量多，还免不了多次长途跋涉。

8、未来三天山东多雷阵雨天气，雨量分布不均，强降雨局地性特征显著

“从小你就梦想着这一刻，而当真正接近目标时，脑海中浮现的只有捧起大力神杯的画面。

葡萄牙球员向来以技术细腻、战术执行力强著称，这与沙特联赛追求快速提升竞技水平的需求高度契合。

今年3月，集团获评上海市闵行区首批大企业开放创新中心并揭牌落地。

9、调查发现：寿命长的冠心病人，大多在确诊后，改掉了7个坏习惯

阿森纳：冠军在手，卫冕才是真考验 从各方面来看，阿森纳都是新赛季最合理的夺冠热门。

在他看来，NPO是最接近大规模部署和商用的方向，从近期动向来看，可以说规模化落地正在发生。

10、夏窗转会传闻：曝京籍小将或加盟国安，圆“儿安”梦，为北京而战

尽管多个市场均表达了兴趣，但沙特联赛是目前态度最为坚决的下家。

就阵容实力而言，法国队更胜一筹；就状态而言，也是法国队更胜一筹；还有就是阵容厚度，法国队也是强于西班牙的，特别是锋线位置，法国队有着各种“武器”。

1、泰国总理阿努廷会见董军

HBM良率从25%爬到40%以上。

2、从想消失到找到梦想的工作：我熬过了那些深夜三点的哭泣

图赫尔的“宿命魔咒”：从拜仁杀到英格兰 凯恩赛后的无奈与球迷的愤怒，最终都指向了同一个人——托马斯·图赫尔。

3、重庆口水姐上热搜，网友已向警方举报，媒体也跟着谴责

欧洲杯冠军，17岁。西班牙队名单没有皇马球员：历史的第一次，绝不会是最后一次！赛道头部企业纷纷加速资本化。

4、世界杯第一新星成转会大热！里尔开标价1亿欧元，曼城想买他

而他的搭档迈克尔·奥利塞，则用两次助攻将自己的单届世界杯助攻数提升至7次，打破了贝利保持的单届6助的纪录，将世界杯历史单届助攻王收入囊中。

5、小象超市热卖榜10款零食：近一半都是「热量刺客」

后续几天还将安排更多检测，但早期评估已发现德容右膝存在明显的不稳定性和潜在的韧带损伤。

6、1夜7大转会！巴萨签下18天才新星比西武，老佛爷亲手否决罗德里！

曼联会比利物浦强？ 基于上赛季下半程的表现，这个判断完全合理。

但这一经历，也暴露了公司的核心短板：企业成本把控不取决于自身管理能力与技术工艺，而是高度依赖合约定价规则，自主抗风险能力偏弱。

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、知名演员被江阴市人民法院悬赏，曾出演《逐玉》《镖人》

照片里，年轻的梅西正给一个五个月大的婴儿洗澡——那个婴儿，就是亚马尔。

根据潘兴广场年报，这组对冲累计支付的保费和佣金约为2700万美元，最终产生约26亿美元总回款，其中约21亿美元归属于潘兴广场控股。

8、隆戈丨刚刚扎尼奥洛被推荐给米兰

满足大量场景诉求。

他速度快，冲击力强，跑动积极，能在前场给对手防线制造很大的压力，而且有一定的背身拿球能力，符合现代中锋的要求。

当然，热闹背后也有隐忧。

该公司将负责选址、变电站建设与运营、客户获取以及AIDC业务的商业化落地。