在日前的新闻发布会上，葡萄牙人明确指出需要秋裤这种具备一对一爆破能力的球员，阿莫林十分看重其在狭小空间内的突破能力。

1、Kai云体育 除此之外，他还为莱比锡签下了奥尔莫、恩昆库等后来身价暴涨的球星。

作为卡塔尔世界杯冠军，阿根廷本届赛事的晋级之路并非一帆风顺。Kai云体育从业者还有一个疑问，如何平衡风险和国资属性？ 54号文在砍断“明股实债”的同时，也提出了建立“尽职免责与容错机制”。

2、郭士强三败日韩后，球迷为杜锋喊冤！四杀日本，他对得起男篮

这位金球奖得主在本届赛事贡献5球2助攻，他与姆巴佩在世界杯历史上已累计为对方创造19次机会，创下近60年来法国国家队纪录。

3、什么？！央视知名节目主持人爆料：我是半个绍兴人！网友：我是绍兴人我都不知道....

卡尔迪纳莱最近亲赴德国与格拉斯纳进行了长达6小时的促膝长谈，这名水晶宫主帅对执教米兰非常心动。

4、全网刷屏文博会！一场AI带来的产业革命正在广东发生！

而那些依然依赖单一客户、缺乏技术壁垒、无法跨越合规门槛的企业，成年可能意味着一场安静而残酷的淘汰。

5、别让租房成毕业生“吃亏上当第一课”

然而主帅图赫尔在领先后过早转入防守，主动让出中场控制权，导致球队持续承压。

90分钟踢满，全场34次触球，是所有打满全场的球员中最低的。

整体来看，加拿大的阵容年轻有活力，边路冲击力强，但阵容深度不够，替补席实力一般，大赛经验也相对欠缺。

6、马刺结束了2025-26季：那么继续吧

内存接口芯片龙头澜起科技预计2026年上半年营收为33.35亿，较上年同期增长约26.6%；实现归属于上市公司股东的净利润19亿元到21亿元，较上年同期增长63.9%到81.2%。

车主只知道车坏了，找的是卖车的人。

7、95比76大胜锁定第一！女篮霸主豪取5连胜：冲击冠军真的稳了？

托莫里的处境则更为严峻，英格兰中卫与米兰的合同进入最后一年，俱乐部方面明确不愿让其以自由身离开，今夏是收回成本的最后现实窗口。

我们是一个大家庭，队内的竞争氛围让你成为更好的球员。

8、“百亿补贴”非真百亿？拼多多这下尴尬了

荣耀新Logo正式官宣 7月23日，荣耀终端股份有限公司CEO李健在社交平台公布，荣耀启用全新品牌图形标识 “荣耀之环”，并发布全新品牌主张 “敢想，敢不同”。

就等着安东尼和德克突然跳出来，告诉我这一切都是场整蛊。

边路速度是最大武器，戴维斯和布坎南的轮番冲击往往能撕开对手防线。

9、天河智谷门户实锤？城投珠江天河壹品深度测评，它的真实段位藏不住了

（关于AMIRO觅光，更多内容回顾：精准护肤时代，谁在追问确定性答案？） 丝芙兰上海向阳旗舰店焕新升级 近日，丝芙兰上海向阳旗舰店完成焕新升级，丝芙兰全球总裁兼首席执行官 Guillaume Motte 与大中华区总经理丁霞共同出席。

多数人只盯着利润表，很少有人拆开这颗定时炸弹。

10、松江置业新标杆：商业医疗双优，招商·时代潮派凭什么脱颖而出？

战术风格：高压快速VS务实控场 英格兰在图赫尔的调教下主打4-2-3-1阵型，控球时灵活切换为3-2-5进攻阵型。

足球，从来都不只是一项运动。

1、87比64大胜23分！广东掀翻深圳冲冠有戏：宏远三少砍49分13板

欧冠初遇：交学费与逆袭（1胜1负） 两人的故事始于2023/24赛季欧冠1/4决赛。

2、《抓特务》的冯小刚，已经被时代抛弃了。

加拿大压出来攻，身后空间就大，正好给南非的反击留下空间；加拿大不压出来，南非就跟你耗，反正我也不着急。

3、Grok 4.5用8分钟推翻困扰数学界30年的图论猜想，马斯克点赞转发

防守端也相当稳固，三场比赛只丢了1球，还是在已经锁定出线的情况下。库尔勒市气象台发布暴雨、冰雹橙色预警他对球队、对挪威的感情，更让人动容。

4、南京马拉松“岛式穿越”为什么能破圈

这是自1992年FIFA推出排名体系以来，世界杯历史上首次出现四强席位被世界前四球队全部包揽的盛况。

5、瑞幸又一新品上热搜，网友：可单独卖“百亿活菌吸管”

3月底，球队管理层就早早地锁定了科斯蒂奇，他以300万欧元的价格正式成为红黑军团26/27赛季的首笔签约，7月份正式入队。

6、打上“零AI”，销量翻5倍，我却被困在“人味”里

从近期状态来看，两队都保持着出色的竞技水准。

芯片战争打到最后，拼的不只是谁拥有最先进的芯片，而是谁能制造机器，谁能掌握零部件，谁能组织成千上万名工程师，持续把一代又一代产品送进工厂。

不满意，再敲一段prompt，重新“开盒”。

7、中国名记连场炮轰阿根廷：各方面都是受益者！FIFA的重点保护对象

但阿隆索在上任后的首次新闻发布会上，直接给转会传闻浇了一盆冷水。

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。

8、赛前

然而，当资本的热浪与消费者的冲动共同将具身陪伴推上风口，一个核心问题逐渐浮出水面：当新鲜感褪去，这些承载着高期待的数字生命体，究竟会成为生活中不可或缺的情感锚点，还是另一个在角落里默默吃灰的昂贵摆件？ 不死不病不掉毛，AI宠物赢在可控感 故事的一面，是那些真实用户的生活场景。

瞄准这一需求变化，在中高端产品线站稳脚跟的华为，如今也在加速抢占千元机市场。

既要挂着“扶持硬科技”的招牌享受高收益，又要拿着“债权思维”要求绝对保本。

7月8日，盛新锂能跌停，天华新能跌逾15%，天赐材料一周内市值蒸发超300亿元，赣锋锂业自高点累计跌去约38%，宁德时代回调约20%。