英格兰队拥有状态炸裂的贝林厄姆（本届已入6球）与巅峰期的哈里·凯恩，双核驱动下的三狮军团阵容均衡、韧性十足。

1、kaiyun官方 从数据来看，米兰前28轮场均被射门11次，后8轮场均11.62次，几乎没有变化。

7月23日早间，智驾方案龙头地平线机器人发布公告称，将发行本金总额为4.5亿美元（约合人民币30.46亿元）的零息可转债，该债券可按5.55港元/股的价格转换为公司B类股份。kaiyun官方但梅西更愿意谈论的是这支球队的韧劲。

2、奇才建队策略的失败 开拓者的崛起 为何两者之间能互为因果

一家拥有百余年历史的大公司，一天之内蒸发掉近四分之一市值。

3、跨越山海 以球会友｜北京首钢澳洲青少年游学营圆满收官_网易订阅

全新的耐克球衣设计融合了俱乐部经典的黑白元素与现代美学，而萨拉赫与特罗萨德的加盟，无疑将为这支百年豪门注入前所未有的商业价值与全球关注度。

4、曝奇才计划与戴维斯展开续约谈判 还将寻求引进一名替补控卫

这个夏窗，阿尔瓦雷斯亮相诺坎普的可能性，依然没有被排除。

5、当代人的悦养，需要一场“主动的慢”

目前，米兰管理层已经与球员经纪人门德斯进行接触，询问具体细节。

然而好景不长，在1月下旬对阵布莱顿打入1球后，丘库埃泽已经经历了11场进球荒，近3个月进球和助攻数据均挂零。

图：部分事故披露 公司一边大手笔扩产，募资4.06亿元投向多个扩产项目，一边连最基本的安全投入和管理都跟不上，在产业升级的大趋势下已经难以为继。

6、【CBA联赛】第三轮｜浙江稠州金租91-102不敌山西汾酒

一个成功仓位上涨以后占比过高，即使标的仍有前景，也可能让整个账户结构重新暴露在单一尾部风险之下。

除此之外，人设与价值观的冲突，是本次争议出圈的关键。

7、四战全胜竟无人入选！湖人双星落选夏季联赛一阵引球迷暴怒

他提到，相比榜单上的评分，在用户的真实使用里，不同模型的能力差距其实非常接近，而中国发布得更快，相当于把用户实际拿到的性能差距给缩小了，同时还能根据用户反馈率先改进。

面对挪威队的八强战，英格兰队需在即战力与球员长期健康之间做出权衡。

8、詹姆斯欧文重回骑士？美媒曝三方8人交易，哈登或成牺牲品

海外有Physical Intelligence这样的纯大脑标杆，国内有千寻智能、星海图等融资额更高的“模型+本体”公司。

除此之外，人设与价值观的冲突，是本次争议出圈的关键。

这将是一场胶着的较量，预测2-1分出胜负，两支球队都有获胜的可能。

9、官方：森保一续约半年至亚洲杯结束，U23主帅大岩刚将接任>>

合影传开之后，网友们最直观的感受是：这哪里是看球，分明是把企业家聚会搬到了世界杯现场。

这款同时激活GLP-1和GIP两个靶点的药物，在头对头试验SURMOUNT-5中全面击败了诺和诺德的司美格鲁肽：替尔泊肽治疗组患者平均减重20.2%，而司美格鲁肽组仅为13.7%。

10、正式确定！CBA顶薪后卫完成转会，加盟山西男篮

科隆博的市场价值排名第4，近日，随着热那亚理论上保级成功，他们对洛伦佐·科隆博的强制买断义务被触发，为红黑军团带来了约1000万欧元收入。

也愿潘帕斯雄鹰在美加墨世界杯中飞得更远更高。

1、沃齐尼亚：很荣幸入选世界杯最佳阵容，感谢所有为我投票的球迷

数据生成后，在AI推理、训练中不断流动，并持续创造价值，这些价值又能反过来帮助模型更新、演进，形成良性循环。

2、一个都跑不了，美深夜空袭后，伊朗不再留手，拿捏特朗普“七寸”

一个典型的案例是，几年前某国资向一家新能源零部件企业投资，约定若X年未完成B轮融资，大股东须按年化8%回购。

3、逆转+绝杀晋级决赛！阿根廷2比1战胜英格兰，戈登包抄破门，恩佐世界波破门扳平，劳塔罗头球反超，再现西阿大战

胡梅尔斯还把矛头对准了德国青训体系。深圳中学有个羽毛球“大神”：对战过奥运冠军，还想挑战林丹OpenAI嫌挖人都太慢了，直接砸钱端走公司。

4、足协杯戴帽救赎！合同仅剩半年的泽卡能否复刻瓦科逆袭剧本？

热身赛方面，巴萨将于7月24日在甘伯体育城与欧罗巴队进行一场内部教学赛；7月27日转赴圣乔治公园继续集训，预计阿劳霍、德容等结束世界杯休假的国脚将在此期间陆续归队。

5、世界杯小组赛，表现最差的3支球队！

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。

6、国窖1573丨阿根廷vs瑞士：梅西领衔，阿尔瓦雷斯、恩佐、扎卡首发

但狂欢之后，人们开始冷静思考，AI手机到底是怎样的。

赛后，马拉多纳直言这场比赛是为了“给马岛死去的阿根廷小伙子报仇”。

这就很反差，你可能很好奇，明明技术取得了突破，为何资本市场反手就是一巴掌？ 原因并不复杂，Coding赛道正在陷入残酷的“马太效应”内卷中。

7、怎么对付月亮球？格里科斯普、紫薇、西西帕斯给出不同答案！

集邦咨询最新研报指出，当前手机厂商对存储的采购需求在明显减弱，多数品牌已在上半年完成主要新品生产和零部件采购，另外手机销售疲软削弱了存储供应商的议价能力。

和恩昆库相比，莱奥的优势在于边路冲击力和拉开宽度的能力，持球推进、一对一爆破是米兰破密集防守的核心武器。

8、豆瓣8.1但票房7000万，今年最意难平的电影出现了？

亚特兰大为埃德森标价5000万欧元，而米兰已经在转会市场花费了1亿欧元，同时对中卫位置的调整也在计划之中，若托莫里离队，替代人选锁定葡萄牙体育的伊纳西奥或伯恩茅斯的卢库米，这将导致球队没有足够预算追逐埃德森，俱乐部必须筹集资金。

早在2014年阿根廷与斯洛文尼亚的一场友谊赛中，球员就曾展示过相同内容的横幅，最终阿根廷足协被处以罚款。

美国市场是其中最重要的板块之一；TCL海外市场销量占比已经超过60%，北美也是第一大海外市场。

这位刚刚在世界杯决赛打入制胜球的攻击手，正是红军新帅安多尼·伊劳拉点名想要的球员。